Publikacje

 

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Artykuły w czasopismach międzynarodowych

  1. Kazienko P., Cambria E.: Towards Responsible Recommender Systems. IEEE Intelligent Systems, May/June 2024, .
  2. Hołyst J., Mayr P., Thelwall M., Frommholz I., Havlin S., Sela A., Kenett Y., Helic D., Rehar A., Maček S.R., Kazienko P., Kajdanowicz T., Biecek P., Szymanski B.K., Sienkiewicz J.: Protect our environment from information overload. Nature Human Behaviour, 2024.
  3. Avramidis K., Kunc D., Perz B., Adsul K., Feng T., Kazienko P., Saganowski S., Narayanan S.: Scaling Representation Learning from Ubiquitous ECG with State-Space Models. In reviews. Preprint.
  4. Oleksy M., , Mieleszczenko-Kowszewicz W., Kaszyca O., Radliński Ł., Koptyra B., Kocoń J., Kazienko P.: Does ChatGPT dream of non-electric feeling. In reviews.
  5. Behnke M., Saganowski S., Kunc D., Kazienko P.: Ethical considerations and checklist for affective research with wearables. IEEE Transactions on Affective Computing, Vol. 15, No. 1, 2024, pp. 50-62. DOI: 10.1109/TAFFC.2022.3222524 (JCR-listed journal)
  6. Kocoń J., Cichecki I., Kaszyca O., Kochanek M., Szydło D., Baran J., Bielaniewicz J., Gruza M., Janz A., Kanclerz K., Kocoń A., Koptyra B., Mieleszczenko-Kowszewicz W., Miłkowski P., Oleksy M., Piasecki M., Radliński Ł., Wojtasik K., Woźniak S., Kazienko P.: ChatGPT: Jack of all trades, master of none. Information Fusion, Vol. 99, 2023, 101861. (JCR-listed journal)
  7. Saganowski S., Perz B., Polak A., Kazienko P.: Emotion Recognition for Everyday Life Using Physiological Signals from Wearables: A Systematic Literature Review. IEEE Transactions on Affective Computing, 2023, vol. 14, nr 3, pp. 1876-1897, doi: 10.1109/TAFFC.2022.3176135. (JCR-listed journal)
  8. Kazienko P., Bielaniewicz J., Gruza M., Kanclerz K., Karanowski K., Miłkowski P., Kocoń J.: Human-centered Neural Reasoning for Subjective Content Processing: Hate Speech, Emotions, and Humor. Information Fusion, Vol. 94, 2023, pp. 43-65. (JCR-listed journal)
  9. Polak A.G., Klich B., Saganowski S., Prucnal M.A., Kazienko P.: Processing Photoplethysmograms Recorded by Smartwatches to Improve the Quality of Derived Pulse Rate Variability. Sensors, 2022, 22(18), 7047; https://doi.org/10.3390/s22187047. (JCR-listed journal)
  10. Saganowski S., Komoszyńska J., Behnke M., Perz B., Kunc D., Klich B., Kaczmarek Ł.D., Kazienko P.: Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables. Scientific Data, 9, Art. no.: 158, 2022. (JCR-listed journal)
  11. Michalski R., Serwata D., Nurek M., Szymanski B.K., Kazienko P., Jia T.: Temporal Network Epistemology: on Reaching Consensus in Real World Setting. Chaos: An Interdisciplinary Journal of Nonlinear Science, 32, 063135, 2022. (JCR-listed journal)
  12. Dzieżyc M., Kazienko P.: Effectiveness of research grants funded by European Research Council and Polish National Science Centre. Journal of Informetrics, Volume 16, Issue 1, February 2022, 101243. (JCR-listed journal)
  13. Klemiński R., Kazienko P., Kajdanowicz T.: Analysis of direct citation, co-citationand bibliographic coupling in scientific topic identification. Journal of Information Science. 48(3), 2022, pp. 349–373.  doi:10.1177/0165551520962775 (JCR-listed journal)
  14. Kocoń J., Figas A., Gruza M., Puchalska D., Kajdanowicz T., Kazienko P.: Offensive, aggressive, and hate speech analysis: from data-centric to human-centred approach. Information Processing and Management, Volume 58, Issue 5. 2021, art. 102643. (JCR-listed journal)
  15. Augustyniak Ł., Kajdanowicz T., Kazienko P: Comprehensive analysis of aspect term extraction methods using various text embeddings. Computer Speech & Language, Vol. 69, 2021, 101217, https://doi.org/10.1016/j.csl.2021.101217. (JCR-listed journal)
  16. Michalski R., Szymanski B.K., Kazienko P., Lebiere C., Lizardo O., Kulisiewicz M.: Temporal Social Networks Through the Prism of Cognition. Complexity, Vol. 2021, Art. ID 4963903, 13 pages, 2021. arXiv:1806.04658 (JCR-listed journal)
  17. Klemiński R., Kazienko P., Kajdanowicz T.: Where should I publish? Heterogeneous, networks-based prediction of paper’s citation success. Journal of Informetrics, Volume 15, Issue 3, 2021, 101200. https://doi.org/10.1016/j.joi.2021.101200 (JCR-listed journal)
  18. Dzieżyc M., Gjoreski M., Kazienko P., Saganowski S., Gams M.: Can we ditch feature engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data. Sensors, 2020, 20(22), 6535. https://doi.org/10.3390/s20226535 . (JCR-listed journal)
  19. Kundu S., Kajdanowicz T., Kazienko P., Chawla N.: Fuzzy Relative Willingness: Modeling influence of exogenous factors in driving information propagation through a social network. IEEE Access, Vol. 8, 2020, pp. 186653-186662. (JCR-listed journal)
  20. Liu W., Saganowski S., Kazienko P., Cheong S.A.: Predicting the Evolution of Physics Research from a Complex Network Perspective. Entropy Vol. 21 Issue 12, 2019, 1152; https://doi.org/10.3390/e21121152. (JCR-listed journal)
  21. Saganowski S., Bródka P., Koziarski M., Kazienko P.: Analysis of group evolution prediction in complex networks. PLoS ONE 14(10): e0224194, 2019. https://doi.org/10.1371/journal.pone.0224194. arXiv (JCR-listed journal)
  22. Morzy M., Kajdanowicz T., Kazienko P., Miebs G., Rusin A.: Priority Attachment: a Comprehensive Mechanism for Generating Networks. Scientific Reports, 9, Art. no.: 3383, 2019, arXiv. (JCR-listed journal) You can test priority attachment on your own
  23. Bartusiak R., Augustyniak Ł., Kajdanowicz T., Kazienko P., Piasecki M.: WordNet2Vec: Corpora Agnostic Word Vectorization Method. Neurocomputing, Vol. 326-327, 2019, pp. 141-150. arXiv https://doi.org/10.1016/j.neucom.2017.01.121 (JCR-listed journal) 
  24. Kulisiewicz M., Kazienko P., Szymański B.K., Michalski R.: Entropy Measures of Human Communication Dynamics. Scientific Reports, 8, Art. no. 15697, 2018. arXiv (JCR-listed journal) 
  25. Jankowski J., Szymanski B.K., Kazienko P., Michalski R., Bródka P.: Probing Limits of Information Spread with Sequential Seeding. Scientific Reports, 8, Art. no. 13996, 2018. https://doi.org/10.1038/s41598-018-32081-2 (JCR-listed journal)
  26. Morzy M., Kajdanowicz T., Kazienko P.: On Measuring the Complexity of Networks: Kolmogorov Complexity vs. Entropy. Complexity, 2017, Volume 2017, Art. ID 3250301, 12 pages. (JCR-listed journal) https://doi.org/10.1155/2017/3250301
  27. Jankowski J., Bródka P., Kazienko P., Szymanski B.K., Michalski R., Kajdanowicz T.: Balancing Speed and Coverage by Sequential Seeding in Complex Networks. Scientific Reports, 7:891, 2017. DOI:10.1038/s41598-017-00937-8 arXiv (JCR-listed journal)
  28. Corrigan D., Munnelly G., Kazienko P., Kajdanowicz T., Soler J.K., Mahmoud S., Porat T., Kostopoulou O., Curcin V., Delaney B.: Requirements and validation of a prototype Learning Health System for clinical diagnosis. Learning Health Systems, 2017;e10026. https://doi.org/10.1002/lrh2.10026.
  29. Jankowski J., Kazienko P., Wątróbski J., Lewandowska A., Ziemba P., Zioło M.: Fuzzy Multi-objective Modeling of Effectiveness and User Experience in Online Advertising. Expert Systems With Applications (ESWA), Volume 65, 2016, pp. 315-331. (JCR-listed journal)
  30. Jankowski J., Kolomvatsos K., Kazienko P., Wątróbski J.: Modeling User Preferences and Behaviors in Virtual Product Retail System. Journal of Universal Computer Science (JUCS), Volume 22, Issue 3, 2016, pp. 416-437. (JCR-listed journal)
  31. Kajdanowicz T., Michalski R., Musial K., Kazienko P.: Learning in Unlabelled Networks - An Active Learning and Inference Approach. AI Communications, , Volume 29, Number 1, 2016, pp. 123-148. (JCR-listed journal) 
  32. Saganowski S., Gliwa B., Bródka P., Zygmunt A., Kazienko P., Koźlak J.: Predicting Community Evolution in Social Networks. Entropy, 17(5), 2015, 3053-3096. (JCR-listed journal) 
  33. Kazienko P., Alhajj R., Srivastava J.: Computational Aspects of Social Network Analysis. Editorial, Scientific Programming, Vol. 2015, 2015, Article ID 961610, 2 pages, http://dx.doi.org/10.1155/2015/9616102015. (JCR-listed journal)
  34. Soler J.K., Corrigan D., Kazienko P., Kajdanowicz T., Kulisiewicz M., Delaney B.: Evidence-based rules from family practice to inform family practice; the learning healthcare system case study on urinary tract infections. BMC family Practice, 2015, 16:63. doi:10.1186/s12875-015-0271-4. (JCR-listed journal)  
  35. Jankowski J., Michalski R., Bródka P., Kazienko P., Utz S.: Knowledge Acquisition from Social Platforms Based on Network Distributions Fitting. Computers in Human Behavior, Volume 51, Part B, 2015, pp. 685-693. doi:10.1016/j.chb.2014.12.015 (JCR-listed journal) 
  36. Kajdanowicz T., Indyk W., Plamowski S., Kazienko P.: MapReduce Approach to Relational Influence Propagation in Complex Networks. Pattern Analysis and Applications, Vol.17, Issue 4, 2014, pp 739-746. Open Access by Springer (JCR-listed journal)  
  37. Musial K., Bródka P., Kazienko P., Gaworecki J.: Extraction of Multi-layered Social Networks from Activity Data. The Scientific World Journal. Volume 2014, Article ID 359868, 2014, 13 pages. http://dx.doi.org/10.1155/2014/359868 (JCR-listed journal)
  38. Michalski R., Kajdanowicz T., Bródka P., Kazienko P.: Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach. New Generation Computing, Vol. 32, Nos. 3-4, 2014, pp. 213-235. (JCR-listed journal)
  39. Kajdanowicz T., Kazienko P., Indyk W.: Parallel Processing of Large Graphs. Future Generation Computer Systems, Volume 32, March 2014, pp. 324-337. (JCR-listed journal)  
  40. Kazienko P., Szozda N., Filipowski T., Blysz W.: New Business Client Acquisition using Social Networking Sites. Electronic Markets - The International Journal on Networked Business, Volume 23, Issue 2, 2013, pp 93-103. DOI: 10.1007/s12525-013-0123-9 (SSCI-listed journal) 
  41. Kajdanowicz T., Kazienko P.: Boosting-based Multi-label Classification. Journal of Universal Computer Science, Vol. 19, No. 4, 2013, pp. 502-520. (JCR-listed journal) 
  42. Kazienko P., Lughofer E., Trawiński B.: Hybrid and Ensemble Methods in Machine Learning. Journal of Universal Computer Science, Vol. 19, No. 4, 2013, pp. 457-461. (JCR-listed journal)
  43. Indyk W., Kajdanowicz T., Kazienko P.: Relational Large Scale Multi-label Classification Method for Video Categorization. Multimedia Tools and Applications, Volume 65, Issue 1, pp. 63-74, 2013, DOI: 10.1007/s11042-012-1149-2. Open Access by Springer. (JCR-listed journal)  
  44. Bródka P., Saganowski S., Kazienko P.: GED: The Method for Group Evolution Discovery in Social Networks. Social Network Analysis and Mining, Volume 3, Issue 1, 2013, pp 1-14, DOI: 10.1007/s13278-012-0058-8. Open Access by Springer
  45. Musiał K., Kazienko P.: Social Networks on the Internet. World Wide Web, Volume 16, Number 1, 2013, pp. 31-72. Open Access by Springer. (JCR-listed journal) 
  46. Kajdanowicz T., Kazienko P.: Multi-label Classification Using Error Correcting Output Codes. International Journal of Applied Mathematics and Computer Science, Vol. 22, No. 4, 2012, pp. 829-840. (JCR-listed journal) 
  47. Bródka P., Kazienko P., Musiał K., Skibicki K.: Analysis of Neighbourhoods in Multi-layered Dynamic Social Networks. International Journal of Computational Intelligence Systems, Vol. 5, No. 3, June, 2012, pp. 582-596. (JCR-listed journal)  
  48. Jung J.J., Kazienko P.: Understanding Online Social Networking Services. Journal of Universal Computer Science, Vol. 18, No. 8, 2012, 970-972.
  49. Jung J.J., Kazienko P.: Advances on Social Network Applications. J.UCS Special Issue. Journal of Universal Computer Science, Vol. 18, No. 4, 2012, 454-456.
  50. Zygmunt A., Bródka P., Kazienko P., Koźlak J.: Key Person Analysis in Social Communities within the Blogosphere. Journal of Universal Computer Science, Vol. 18, No. 4, 2012, 577-597. (JCR-listed journal) 
  51. Filipowski T., Kazienko P., Bródka P., Kajdanowicz T.: Web-based Knowledge Exchange through Social Links in the Workplace. Behaviour and Information Technology, Vol. 31, No. 8, 2012, pp. 779-790. (JCR-listed journal) 
  52. Kukla G., Kazienko P., Bródka P., Filipowski T.: SocLaKE - Social Latent Knowledge Explorator. The Computer Journal, Vol. 55, Issue 3, 2012, pp. 258-276. (JCR-listed journal) PDF  
  53. Kazienko P., Kajdanowicz T.: Label-dependent Node Classification in the Network. Neurocomputing, Vol. 75, Issue 1, 2012, pp. 199-209. (JCR-listed journal) PDF 
  54. Saganowski S., Bródka P., Kazienko P.: Influence of the User Importance Measure on the Group Evolution Discovery. Foundations of Computing and Decision Sciences, Vol. 37, No. 4, 2012, 295-305. 
  55. Kajdanowicz T., Plamowski S., Kazienko P.: New Entropy Based Distance for Training Set Selection in Debt Portfolio Valuation. International Journal of Information Technology and Web Engineering, 7(2), 2012, pp. 60-69.  
  56. Pasierb K., Kajdanowicz T., Kazienko P.: Privacy-preserving Data Mining, Sharing and Publishing. Journal of Medical Informatics & Technologies, Vol. 18, 2011, pp. 69-76. 
  57. Kajdanowicz T., Kazienko P.: Boosting-based Sequential Output Prediction. New Generation Computing, Vol. 29, No. 3, 2011, pp. 293-307. PDF (JCR-listed journal) 
  58. Cordón C., Kazienko P., Trawiński B.: Special Issue on Hybrid and Ensemble Methods in Machine Learning. New Generation Computing, Vol. 29, No. 3, 2011, pp. 241-244. (JCR-listed journal)
  59. Kazienko P., Musiał K., Kajdanowicz T.: Multidimensional Social Network in the Social Recommender System. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, Vol. 41, Issue 4, 2011, pp. 746-759. (JCR-listed journal) PDF 
  60. Palus S., Bródka P., Kazienko P.: Evaluation of Organization Structure based on Email Interactions. International Journal of Knowledge Society Research, Vol. 2, No. 1, 2011, pp. 1-13.  
  61. Kazienko P., Kajdanowicz T.: Base Classifiers in Boosting-based Classification of Sequential Structures. Neural Network World, Vol. 20, No. 7, 2010, pp. 839-851. (JCR-listed journal) 
  62. Kazienko P., Musiał K., Zgrzywa A.: Evaluation of Node Position Based on Email Communication. Control and Cybernetics, Vol. 38, No. 1, 2009, 67-86. PDF (JCR-listed journal) 
  63. Juszczyszyn K., Musiał K., Kazienko P., Gabrys B.: Temporal Changes in Local Topology of an Email-Based Social Network. Computing and Informatics, Special Issue on "Intelligent Multimedia System and Data Management for Ubi-Com", Vol. 28, Issue 6, 2009, pp. 763-779. (JCR-listed journal) 
  64. Kazienko P.: Mining Indirect Association Rules for Web Recommendation. International Journal of Applied Mathematics and Computer Science, 2009, Vol 19, No. 1, 165-186. (JCR-listed journal) PDF
  65. Kazienko P., Ruta D., Bródka P.: The Impact of Customer Churn on Social Value Dynamics. International Journal of Virtual Communities and Social Networking, Special Issue on "Formation and Dynamics of Virtual Communities", 1(3), July-September 2009, 60-72. 
  66. Musiał K., Juszczyszyn K., Kazienko P.: Ontology-based Recommendation in Multimedia Sharing Systems. System Science, 34 (1), 2008, pp. 97-106. PDF 
  67. Kazienko P., Pilarczyk M.: Hyperlink Recommendation Based on Positive and Negative Association Rules. New Generation Computing, Vol. 26, No. 3, May 2008, pp. 227-244. (JCR-listed journal) PDF 
  68. Kazienko P., Musiał K.: On Utilising Social Networks to Discover Representatives of Human Communities. International Journal of Intelligent Information and Database Systems, Special Issue on Knowledge Dynamics in Semantic Web and Social Networks, Vol. 1, Nos. 3/4, 2007, pp. 293-310. PDF 
  69. Kazienko P., Adamski M.: AdROSA - Adaptive Personalization of Web Advertising. Information Sciences, Vol. 177, Issue 11, 2007, pp. 2269-2295. (JCR-listed journal) PDF 
  70. Kazienko P., Kołodziejski P.: Personalized Integration of Recommendation Methods for E-commerce. International Journal of Computer Science & Applications, Vol. 3 Issue 3, August 2006, pp. 12-26. PDF 
  71. Kazienko P., Nguyen N.T., Sobecki J. (eds.): Editorial to Special Issue on Web-based Recommender Systems. International Journal of Computer Science & Applications, Vol. 3 Issue 3, August 2006, pp. iv-v.

Konferencje międzynarodowe

  1. Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemysław Kazienko, Kranthi Kiran GV, Jan Kocoń, Bartłomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanisław Woźniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu: Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. 2024, Preprint: arxiv.org/abs/2404.05892.
  2. Ferdinan T., Kocoń J., Kazienko P.: Into the Unknown: Self-Learning Large Language Models. 2024, Preprint: arxiv.org/abs/2402.09147
  3. Woźniak S., Koptyra B., Janz A., Kazienko P., Kocoń J.: Personalized Large Language Models. 2024, Preprint: arxiv.org/abs/2402.09269
  4. Kazienko P., Piasecki M., Okulska I., Janz A., Kocoń J., Ogrodniczuk M., Karlińska A., Tomaszewska A., Oleksy M., Wieczorek J., Roszko R., Dadas S., Kozłowski M., Wiśnios E., Pęzik P., Rybak P.: PLLuM: Towards Polish Large Language Model. PP-RAI 2024 - 5th Polish Conference on Artificial Intelligence,18-20.04.2024 Warsaw, Poland.
  5. Kazienko P.: Human-centered challenges of recommender systems. Philosophy in Technology - Different Perspectives, The Third Edition, 12th-13th of April, 2024, Wroclaw, Poland.
  6. Komoszyńska J., Kunc D., Perz B., Hebko A., Kazienko P., Saganowski S.: Designing and Executing a Large-scale Real-life Affective Study. PerFail 2024: Third International Workshop on Negative Results in Pervasive Computing at PerCom 2024 - 2024 IEEE International Conference on Pervasive Computing and Communications, Biarritz, France, March 11-15, 2024.
  7. Kanclerz K., Karanowski K., Bielaniewicz J., Gruza M., Miłkowski P., Kocoń J., Kazienko P.: PALS: Personalized Active Learning for Subjective Tasks in NLP. EMNLP 2023 - The 2023 Conference on Empirical Methods in Natural Language Processing, December 6-10, 2023, Singapore, Association for Computational Linguistics, 2023, pp. 13326-13341.
  8. Peng B., Alcaide E., Anthony Q., Albalak A., Arcadinho S., Cao H., Cheng X., Chung M., Grella M., Kiran GVK, He X., Hou H., Kazienko P., Kocon J., Kong J., Koptyra B., Lau H., Mantri KSI, Mom F., Saito A., Tang X., Wang B., Wind J.S., Wozniak S., Zhang R., Zhang Z., Zhao Q., Zhou P., Zhu J., Zhu R-J.: RWKV: Reinventing RNNs for the Transformer Era. EMNLP 2023 - The 2023 Conference on Empirical Methods in Natural Language Processing, December 6-10, 2023, Singapore, Association for Computational Linguistics, 2023, 14048-14077, preprint: https://arxiv.org/abs/2305.13048
  9. Kanclerz K., Bielaniewicz J., Gruza M., Kocoń J., Woźniak S., Kazienko P.: Towards Model-Based Data Acquisition for Subjective Multi-Label NLP Problems. SENTIRE 2023 - Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction at ICDM'2023 - The 23rd IEEE International Conference on Data Mining, December 1-4, 2023, Shanghai, China.
  10. Miłkowski P., Karanowski K., Wielopolski P., Kocoń J., Kazienko P., Zięba M.: Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows. SENTIRE 2023 - Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction at ICDM'2023 - The 23rd IEEE International Conference on Data Mining, December 1-4, 2023, Shanghai, China.
  11. Bielaniewicz J., Kazienko P.: From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection. SENTIRE 2023 - Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction at ICDM'2023 - The 23rd IEEE International Conference on Data Mining, December 1-4, 2023, Shanghai, China.
  12. Mieleszczenko-Kowszewicz W., Kanclerz K., Bielaniewicz J., Oleksy M., Gruza M., Woźniak S., Dzięcioł E., Kazienko P., Kocoń J.: Capturing Human Perspectives in NLP: Questionnaires, Annotations, and Biases. NLPerspectives - The second Workshop on Perspectivist Approaches to NLP at ECAI 2023 - 26th European Conference on Artificial Intelligence, Cracow, Poland, September 30, 2023.
  13. Michalski R., Serwata D., Nurek M., Szymanski B.K., Kazienko P., Jia T.: Reaching consensus in temporal network epistemology model. IC2S2 - 9th International Conference on Computational Social Science. July 17-20, 2023, Copenhagen, Denmark.
  14. Kocoń J., Baran J., Kanclerz K., Kajstura M., Kazienko P.: Differential dataset cartography: explainable artificial intelligence in comparative personalized sentiment analysis. ICCS 2023 - the 23rd International Conference on Computational Science, Prague, Czech Republic, July 3-5, 2023, LNCS 14073, Springer, 2023, pp. 148-162.
  15. Oleksy M., Kazienko P., Dzieżyc M.: Evaluating the Effectiveness of Research Grants with Journal Bibliometrics. BIR 2023 - 13th International Workshop on Bibliometric-enhanced Information Retrieval at  ERIC 2023 - the 45th European Conference on Information Retrieval, April 2, 2023, Dublin, CEUR Workshop Proceedings Vol. 3617, pp. 101-112.
  16. Behnke M., Saganowski S., Kaczmarek Ł.D., Kazienko P.: Emotions Studied by Computer Scientists and Psychologists – A Complementary Perspective.  EmotionAware 2023 - The 7th Workshop on Emotion Awareness for Pervasive Computing with Mobile and Wearable Devices in conjunction with 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom 2023), Atlanta, USA, March 13-17, 2023 IEEE, 2023, pp. 206-211.
  17. Bielaniewicz J., Kanclerz K., Miłkowski P., Gruza M., Karanowski K., Kazienko P., Kocoń J.: Deep-SHEEP: Sense of Humor Extraction from Embeddings in the Personalized Context.  IEEE ICDM International Workshop on AI for Nudging and Personalization (WAIN) at IEEE ICDM 2022 - The 22nd IEEE International Conference on Data Mining, November 28 - December 1, 2022, Orlando, FL, USA, pp. 967-974.
  18. Saganowski S., Miszczyk J., Kunc D., Lisouski D., Kazienko P.: Lessons Learned from Developing Emotion Recognition System for  Everyday Life. The 5th International SenSys+BuildSys Workshop on Data: Acquisition to Analysis - DATA'22 at The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys 2022), November 6th, 2022, Boston, Massachusetts, USA, ACM, 2023, pp. 1047-1054. https://doi.org/10.1145/3560905.3567759
  19. Kocoń J., Baran J., Gruza M., Janz A., Kajstura M., Kazienko P., Korczyński W., Miłkowski P., Piasecki M., Szołomicka J.: Neuro-symbolic Models for Sentiment Analysis. ICCS 2022 - International Conference on Computational Science, London, UK, June 21-23, 2022, LNCS 13351, Springer, 2022, pp. 667-681.
  20. Miłkowski P., Gruza M., Kazienko P., Szołomicka J., Woźniak S., Kocoń J.: MultiEmo: Language-agnostic Sentiment Analysis. ICCS 2022 - International Conference on Computational Science, London, UK, June 21-23, 2022, LNCS 13351, Springer, pp. 72-79.
  21. Miłkowski P., Gruza M., Kazienko P., Szołomicka J., Woźniak S., Kocoń J.: Multi-model Analysis of Language-agnostic Sentiment Classification on MultiEmo Data, ICCCI 2022 - 14th International Conference on Computational Collective Intelligence, Hammamet, Tunisia, 28-30 September 2022, LNCS 13501, Springer, 2022, pp. 163-175.
  22. Kanclerz K., Gruza M., Karanowski K., Bielaniewcz J., Miłkowski P., Kocoń J., Kazienko P.: What if Ground Truth is Subjective? Personalized Deep Neural Hate Speech Detection. Perspectivist Approaches to NLP at LREC 2022 - The 13th Language Resources and Evaluation Conference, Marseille, France, June 20-25, European Language Resources Association, 2022, pp. 37-45.
  23. Kunc D., Komoszyńska, J., Perz B., , Kazienko P., Saganowski S.: Real-life validation of emotion detection system with wearables. AfCAI - 4th Workshop on Affective Computing and Context Awareness in Ambient Intelligence at IWINAC 2022 : International Work-Conference on the Interplay Between Natural and Artificial Computation, Tenerife, Spain, 31 May - 3 June 2022, LNCS 13259, Springer, pp. 45-54.
  24. Miłkowski P., Saganowski S., Gruza M., Kazienko P., Piasecki M., Kocoń J.: Multitask Personalized Recognition of Emotions Evoked by Textual Content. EmotionAware 2022 - The Sixth International Workshop on Emotion Awareness for Pervasive Computing Beyond Traditional Approaches co-located with PerCom 2022 - The 20th International Conference on Pervasive Computing and Communications, March 21-25, 2022 in Pisa, Italy, online, IEEE, 2022, pp. 347-352.
  25. Saganowski S., Kunc D., Perz B., Komoszyńska J., Behnke M., Kazienko P.: The cold start problem and per-group personalization in real-life emotion recognition with wearables. WristSense 2022 - The Eighth Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices co-located with PerCom 2022 - The 20th International Conference on Pervasive Computing and Communications, March 21-25, 2022 in Pisa, Italy, online, IEEE, 2022, pp. 812-817. BEST PAPER AWARD.
  26. Kocoń J., Gruza M., Bielaniewicz J., Grimling D., Kanclerz K., Miłkowski P., Kazienko P.: Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language Processing. IEEE ICDM 2021 - 21st IEEE International Conference on Data Mining, December 7-10, 2021, Auckland, New Zealand, online, IEEE, 2021, pp. 1168-1173.
  27. Saganowski S., Behnke M., Komoszyńska J., Kunc D., Perz B., Kazienko P.: A system for collecting emotionally annotated physiological signals in daily life using wearables. ACII 2021 - 9th International Conference on Affective Computing & Intelligent Interaction, 28 September – 1 October, 2021, .
  28. Saganowski S., Kazienko P.: A resource-aware method for parallel D2D data streaming. ICCCI 2021 - 13th International Conference on Computational Collective Intelligence, Rhodes, Greece, 29 September – 1 October 2021, LNCS 12876, Springer, 2021, pp. 696-707.
  29. Kanclerz K., Figas A., Gruza M., Kajdanowicz T., Kocoń J., Puchalska D., Kazienko P.: Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection. ACL 2021 (ACL-IJCNLP 2021) - The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Association for Computational Linguistics, Thailand - online, 2021, pp. 5915-5926.
  30. Miłkowski P., Gruza M., Kanclerz K., Kazienko P., Grimling D., Kocoń J.: Personal Bias in Prediction of Emotions Elicited by Textual Opinions. ACL 2021 (ACL-IJCNLP 2021) - The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Student Research Workshop, Association for Computational Linguistics, Thailand - online, 2021, pp. 248-259.
  31. Dzieżyc M., Boruch M., Dziwiński J., Jabłońska K., Komoszyńska J., Kunc D., Saganowski S., Kazienko P.: How to catch them all? Enhanced data collection for emotion recognition in the field.  PerCom 2021 - The 19th International Conference on Pervasive Computing and Communications, March 22-26, 2021, Kassel, Germany, online, IEEE, 2021, pp. 348-351. 10.1109/PerComWorkshops51409.2021.9431143 .
  32. Saganowski S., Kazienko P., Dzieżyc M., Jakimów P., Komoszyńska J., Michalska W., Dutkowiak A., Polak A., Dziadek A., Ujma M.: Consumer Wearables and Affective Computing for Wellbeing Support. MobiQuitous 2020 - The 17th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2020, pp. 482-487. https://doi.org/10.1145/3448891.3450332
  33. Michalski R., Nurek M., Kazienko P.: Revealing Organizational Structures by Studying Activity Patterns in Social Networks. International School and Conference on Network Science - NetSci 2020.
  34. Kazienko P., Saganowski S., Komoszyńska J., Michalska W., Dzieżyc M., Jakimów P., Polak A., Dutkowiak A., Dziadek A., Ujma M.: Emotion Recognition Using Wearables: Advances and Challenges. Emotion AI Conference, May 6, 2020, online, presentation available here
  35. Saganowski S., Dutkowiak A., Dziadek A., Dzieżyc M., Komoszyńska J., Michalska W., Polak A., Ujma M., Kazienko P.: Emotion Recognition Using Wearables: A Systematic Literature Review - Work-in-progress. EmotionAware 2020 - The 4th Workshop on Emotion Awareness for Pervasive Computing with Mobile and Wearable Devices in conjunction with 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom 2020), March 23-27, 2020, Austin, Texas, USA, IEEE, 2020, 1-6.  10.1109/PerComWorkshops48775.2020.9156096, arXiv
  36. Augustyniak Ł., Kajdanowicz T., Kazienko P: Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF. The IEEE International Conference on Artificial Intelligence and Knowledge Engineering (IEEE AIKE 2019). June 3-5, 2019, Cagliari, Sardinia, Italy, IEEE, 2019, 43-50. 10.1109/AIKE.2019.00016  
  37. Augustyniak Ł., Kajdanowicz T., Kazienko P: Extracting Aspects Hierarchies using Rhetorical Structure Theory. ACAI'18 - 2018 International Conference on Algorithms, Computing and Artificial Intelligence. December 21-23, 2018, Sanya, China, ACM, 2018, Article 22. DOI: https://doi.org/10.1145/3302425.3302479. 
  38. Kleminski R., Kazienko P.: Identifying Promising Research Topics in Computer Science. ENIC 2017 - The 4th European Network Intelligence Conference. Duisburg, Germany, September 11-12, 2017, Lecture Notes on Social Networks, Springer, 2018, pp. 231-241.
  39. Kajdanowicz T., Tagowski K., Falkiewicz M., Kazienko P: Incremental Learning in Dynamic Networks for Node Classification. ENIC 2017 - The 4th European Network Intelligence Conference. Duisburg, Germany, September 11-12, 2017, Lecture Notes on Social Networks, Springer, 2018, pp. 133-142.  
  40. Jankowski J., Bródka P., Michalski R., Kazienko P.: Seeds Buffering in Information Spreading Processes. SocInfo2017 - 9th International Conference on Social Informatics. Oxford, UK, September 13-15, 2017, Lecture Notes on Computer Science LNCS 10539, Springer, 2017, pp. 628-641.
  41. Kazienko P.: Computational network science: From data to social models. BESC 2017 - International Conference on Behavioral, Economic, Socio-cultural Computing, Krakow, Poland, October 16-18, 2017. IEEE p.1.
  42. Kleminski R., Kajdanowicz T., Bartusiak R., Kazienko P.: On Quality Assesement in Wikipedia Articles Based on Markov Random Fields. ACIIDS 2017 - The 9th Asian Conference on Intelligent Information and Database Systems, Kanazawa, Japan, April 3-5, 2017, Lecture Notes on Artificial Intelligence LNAI 10191, Springer, 2017, pp. 782-791. 
  43. Morzy M., Kazienko P., Kajdanowicz T.: Priority rank model for social network generation. ASONAM 2016 - The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, San Francisco, CA, USA, 18 - 21 August, 2016, IEEE, 2016, pp. 315-318.
  44. Augustyniak L., Szymanski P., Kajdanowicz T., Kazienko P.: Fast and accurate - improving lexicon-based sentiment classification with an ensemble methods.. ACIIDS 2016 - The 8th Asian Conference on Intelligent Information and Database Systems, 14-16 March 2016, Da Nang, Vietnam, Lecture Notes on Artificial Intelligence LNAI 9622, Springer, 2016, pp. 108-116. 
  45. Jankowski J., Ziemba P., Wątróbski J., Kazienko P.: Towards the Tradeoff Between Marketing Content and the Web User Experience with the use of Eye Tracking. ACIIDS 2016 - The 8th Asian Conference on Intelligent Information and Database Systems, 14-16 March 2016, Da Nang, Vietnam, Lecture Notes on Artificial Intelligence LNAI 9621, Springer, 2016, pp. 330-343.
  46. Jankowski J., Michalski R., Kazienko P., Bródka P., Utz S.: Adaptive Survey Design Based on Social Network Distribution Fitting. SocInfo 2015 - The 7th International Conference on Social Informatics, Beijing, China, December 9-12, 2015, Lecture Notes in Computer Science LNCS 9471, Springer, 2015, pp. 153-163.
  47. Michalski R., Kazienko P.: The Spreading Power of Core Nodes in Temporal Social Networks. Satellite Workshop on Computational Social Science at CSS 2015 - The Conferences on Complex Systems - Contagion, Collective Behaviour, and Networks, 1 October 2015, Tempe, Arizona. 
  48. Bartusiak R., Augustyniak Ł., Kajdanowicz T., Kazienko P.: Sentiment Analysis for Polish Using Transfer Learning Approach. ENIC 2015 - The Second European Network Conference, September 21-22, 2015, Karlskrona, Sweden, IEEE 2015, pp. 53-59.
  49. Popiel A., Kazienko P., Kajdanowicz T.: MuNeG: The Framework for Multilayer Network Generator. ASONAM 2015 - 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Paris, France, August 25-28, 2015, ACM, 2015, pp. 1316-1323.
  50. Kulisiewicz M., Kajdanowicz T., Kazienko P., Piasecki M.: On sentiment polarity assignment in the Wordnet using Markov Random Fields. HAIS 2015 - The 10th International Conference on Hybrid Artificial Intelligence Systems, June 22-24, 2015, Bilbao, Spain, Lecture Notes in Artificial Intelligence LNAI 9121, Springer, 2015, pp. 451-462. . 
  51. Danger R., Corrigan D., Soler J.K., Kazienko P., Kajdanowicz T., Majeed A., Curcin V.: A methodology for mining clinical data: experiences from TRANSFoRm project. MIE 2015 - The 26th Medical Informatics Europe Conference, May 27-29, 2015, Madrid, Spain, IOS Press, Studies in Health Technology and Informatics, Vol. 210, 2015, pp. 85-89. 
  52. Kajdanowicz T., Kazienko P., Popiel A., Alvarez-Rodriguez J.M.: Layer reduction and decision fusion in relational classification for multi-layer social networks. WISE 2014 - The 15th International Conference on Web Information System Engineering, IWCSN 2014 - International Workshop on Computational Social Networks, Thessaloniki, Greece, 12-14 October 2014, Aristotele University of Thessaloniki, 2014, pp. 76-87. 
  53. Robins, G., Zhao, L., Kazienko, P., Wu, X.: ASONAM 2014 panel: Influence in social networking and the effective of its analysis and mining in the era of electronic communication. ASONAM 2014 - The 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining, Beijing, China, August 17-20, 2014, IEEE, 2014, p. xxxviii.
  54. Augustyniak L., Kajdanowicz T., Szymański P., Tuliglowicz W., Kazienko P., Alhajj R., Szymanski B.: Simpler is better? Lexicon Based Sentiment Classification Beats Supervised Methods. C3-2014 - The 2014 International Workshop on Curbing Collusive Cyber-gossips in Social Networks at ASONAM 2014 - The 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining, Beijing, China, August 17-20, 2014, IEEE, 2014, pp. 924-929. 
  55. Michalski, R., Jankowski J., Bródka P., Kazienko P.: The Same Network - Different Communities? The Multidimensional Study of Groups in the Cyberspace. SNAA 2014 - the 4th Workshop on Social Network Analysis in Applications at ASONAM 2014 - The 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining, Beijing, China, August 17-20, 2014, IEEE, 2014, pp. 864-869. 
  56. Michalski, R., Kazienko P., Kajdanowicz T., Bródka P.: Data-driven Seed Selection for Spread of Influence in Temporal Social Networks. Workshop on Sociophysics at SigmaPhi 2014 - The International Conference on Statistical Physics 2014, Rhodes, Greece, July 7-11, 2014, Kaniadakis G., Scarfone A.M. (eds.), 2014, p. 75.
  57. Brodka P., Kazienko P., Andreasson A., Fraczkowski K., Misiaszek A., Saganowski S., Zhao L., Curcin V., Arvanitis T.N., Delaney B.C., Michalski R.: Remote Patient Health Condition Monitoring for Clinical Research. WONCA Europe 2014 - The 19th WONCA Europe Conference - New Routes for General Practice and Family Medicine, July 2-5, 2014, Lisbon, Portugal.
  58. Augustyniak L., Kajdanowicz T., Kazienko P., Kulisiewicz M., Tuliglowicz W.: An Approach to Sentiment Analysis of Movie Reviews: Lexicon based vs. Classification. HAIS 2014 - The 9th International Conference on Hybrid Artificial Intelligence Systems, Salamanca, Spain, June 11-13, 2014, Lecture Notes in Artificial Intelligence LNAI 8480, Springer, 2014, pp. 168-178.  
  59. Saganowski S., Gliwa B., Bródka P., Zygmunt A., Kazienko P., Koźlak J.: Predicting Community Evolution in Social Networks, poster. NetSci 2014 - International School and Conference on Network Science, June 2-6, 2014, Berkeley, California, USA. 
  60. Kajdanowicz T., Michalski R., Musial K., Kazienko P.: Active Learning and Inference for Classification in Networks. NetSci 2014 - International School and Conference on Network Science, June 2-6, 2014, Berkeley, California, USA. 
  61. Kajdanowicz T., Kajdanowicz T., Popiel A., Kulisiewiecz M., Kazienko P., Szymański B.: Node classification in multiplex networks. Symposium on Multiple Network Modeling, Analysis and Mining at NetSci 2014 - International School and Conference on Network Science, June 2-6, 2014, Berkeley, California, USA. 
  62. Michalski R., Kajdanowicz T., Bródka P., Kazienko P.: Seed Selection for Spread of Influnece in Social Networks: Temporal vs. Static Approach. TnetSphys'14 - Temporal Networks, Human Dynamics and Social Physics Symposium at NetSci 2014 - International School and Conference on Network Science, June 2-6, 2014, Berkeley, California, USA. 
  63. Frączkowski K., Bródka P., Misiaszek A., Saganowski S., Kazienko P.: The mobile system supporting health safety of patients in the TRANSFoRm project. Workshop: CRI Solution Day, May 26-27, 2014, Dusseldorf, Germany.
  64. Misiaszek A., Kazienko P., Kulisiewicz M., Augustyniak Ł., Tuligłowicz W., Popiel A., Kajdanowicz T.: Belief Propagation Method for Word Sentiment in WordNet 3.0. ACIIDS 2014 - The 6th Asian Conference on Intelligent Information and Database Systems, IWEKSS 2014 - The 6th International Workshop on Engineering Knowledge and Semantic Systems, April 7-9, 2014, Bangkok, Thailand, Lecture Notes on Artificial Intelligence LNAI 8398, Springer, 2014, pp. 263-272. 
  65. Michalski R., Kazienko P., Jankowski J.: Convince a Dozen More and Succeed - The Influence in Multi-layered Social Networks. The Second Workshop on Complex Networks and their Applications at SITIS 2013 - The 9th International Conference on Signal Image Technology & Internet based Systems , December 2-5, 2013, Kyoto Japan, IEEE Computer Society, pp. 499-505.
  66. Delaney B.C., Corrigan D., Kazienko P., Mercaderes R.D., Kajdanowicz T. Wrobel T., Soler J.-K., Kostopoulou O., Curcin V., Fahey T.: Managing, Creating and Using Evidence to Support Clinical Diagnosis in Primary Care. Asia-Pacific Conference on Informing Health Care-Decision Making with Evidence, Singapore, January 6-8, 2014, SMDM - Society for Medical Decision Making.
  67. Corrigan D., Kazienko P., Kajdanowicz T., Soler J.-K., Curcin V., Mercaderes R.D., Delaney B.C.: Data Mining of Electronic Sources of Primary Care Data in TRANSFoRm. The Joint Meeting of EGPRN and EURIPA, The 77th EGPRN Conference and 4th EURIPA Rural Health Invitational Forum, Attard, Malta, 17-20 October 2013.
  68. Kajdanowicz T., Kazienko P.: Heuristic Classifier Chains for Multi-label Classification. FETOL 2013 - Special Session on Fusion&Ensemble Techniques for Online Learning on Data Streams at FQAS 2013 - the Tenth International Conference on Flexible Query Answering Systems, Granada, Spain, September 18-20, 2013, Springer, LNCS 8132, 2013, pp. 555-566.
  69. Misiaszek A., Kajdanowicz T., Kazienko P., Piasecki M.: Relational Propagation of Word Sentiment in WordNet. CDVE2013 - The 10th International Conference on Cooperative Design, Visualization and Engineering, Mallorca, Spain, September 22-25, 2013, Lecture Notes in Computer Science LNCS 8091, Springer, 2013, pp. 137-140. 
  70. Popiel A., Kajdanowicz T., Kazienko P., Soler J.K., Corrigan D., Curcin V., Mercaderes R.D., Delaney B.: Classification Method for Differential Diagnosis based on the Course of Episode of Care. HAIS 2013 - The 8th International Conference on Hybrid Artificial Intelligence Systems, Salamanca, Spain, September 11-13, 2013, Lecture Notes in Artificial Intelligence LNAI 8073, Springer, 2013, pp. 112-121.  
  71. Jankowski J., Michalski, R., Kazienko P.: Compensatory Seeding in Networks with Varying Avaliability of Nodes. SDAIN 2013 - Workshop on the Semantic and Dynamic Analysis of Information Networks at ASONAM 2013 - The 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Niagara Falls, Canada, August 25-28, 2013, IEEE, 2013, pp. 1242-1249. 
  72. Gliwa B., Bródka P., Zygmunt A., Saganowski S., Kazienko P., Koźlak J.: Different Approaches to Community Evolution Prediction in Blogosphere. SNAA 2013 - the Third Workshop on Social Network Analysis in Applications at ASONAM 2013 - The 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Niagara Falls, Canada, August 25-28, 2013, IEEE, 2013, pp. 1291-1298. 
  73. Kajdanowicz T., Michalski R., Musiał K., Kazienko P.: Active Learning and Inference Method for Within Network Classification. SNAA 2013 - the Third Workshop on Social Network Analysis in Applications at ASONAM 2013 - The 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Niagara Falls, Canada, August 25-28, 2013, IEEE, 2013, pp. 1299-1306. 
  74. Kazienko P., Kajdanowicz T., Wrobel T., Mercaderes R.D., Curcin V., Soler J.-K., Corrigan D., Delaney B.: Data Mining Primary Care Data as part of the TRANSFoRm Project. WONCA 2013 - The 20th World Conference on Family Medicine - Care for Generations, June 25-29, 2013, Prague, Czech Republic.
  75. Saganowski S., Bródka P., Kazienko P.: Influence of the Temporal Social Network Timeframe Type and Size on Tracking Group Evolution. Workshop on Temporal and Dynamic Networks: From Data to Models at NetSci 2013 - International School and Conference on Network Science, June 3-7, 2013, Copenhagen, Denmark. 
  76. Michalski R., Jankowski J., Bródka P., Kazienko P.: How the Network Dynamics Influences the Diffusion of Innovations. Workshop on Temporal and Dynamic Networks: From Data to Models at NetSci 2013 - International School and Conference on Network Science, June 3-7, 2013, Copenhagen, Denmark. 
  77. Bródka P., Kazienko P., Saganowski S., Michalski R.: Quantifying Multi-layered Complex Networks. Satellite Symposium on Multiple Network Modeling, Analysis and Mining at NetSci 2013 - International School and Conference on Network Science, June 3-7, 2013, Copenhagen, Denmark. 
  78. Kajdanowicz T., Kazienko, P., Indyk W.: Parallel Computing of Large Graphs. NetSci 2013 - International School and Conference on Network Science, June 3-7, 2013, Copenhagen, Denmark.  
  79. Michalski R., Jankowski J., Kazienko P.: Analysing Viral Campaigns in Social Networks by means of Branching Processes. NetSci 2013 - International School and Conference on Network Science, June 3-7, 2013, Copenhagen, Denmark. 
  80. Kazienko P., Kajdanowicz T., Michalski R., Bródka P.: From Data to Human Behaviour. SOCIETY 2013 - International Conference on Social Intelligence and Technology 2013, May 8 -9, 2013, State College, Pennsylvania USA, IEEE Computer Society, 2013, pp. 100-108. PDF
  81. Kajdanowicz T., Filipowski T., Kazienko P., Bródka P.: Competence Region Modelling in Relational Classification. ACIIDS 2013 - The 5th Asian Conference on Intelligent Information and Database Systems, March 18-20, 2013, Kuala Lumpur, Malaysia, Lecture Notes on Artificial Intelligence LNAI 7803, Springer, 2013, pp. 236-244. 
  82. Kajdanowicz T., Indyk W., Kazienko P., Kukuł J.: Comparison of the Efficiency of MapReduce and Bulk Synchronous Parallel Approaches to Large Network Processing. ICDM 2012 - IEEE International Conference on Data Mining, DaMNet 2012 - The Second IEEE ICDM Workshop on Data Mining in Networks, December 10th, 2012, Brussels, Belgium, IEEE Computer Society Press, 2012, pp. 218-225.  
  83. Jankowski J., Michalski R., Kazienko P.: The Multidimensional Study of Viral Campaigns as Branching Processes. SocInfo 2012 - The 4th International Conference on Social Informatics, 5-7 December 2012, Lausanne, Switzerland, Lecture Notes in Computer Science LNCS 7710, Springer, 2012, pp. 462-474. 
  84. Bródka P., Kazienko P., Kołoszczyk B.: Predicting Group Evolution in the Social Network. SocInfo 2012 - The 4th International Conference on Social Informatics, 5-7 December 2012, Lausanne, Switzerland, Lecture Notes in Computer Science LNCS 7710, Springer, 2012, pp. 54-67.  
  85. Michalski R., Bródka P., Kazienko P., Juszczyszyn K.: Quantifying Social Network Dynamics. CASoN 2012 - The 4th International Conference on Computational Aspects of Social Networks, November 21-23, 2012, Sao Carlos, Brasil, IEEE Computer Society, 2012, pp. 69-74. 
  86. Michalski R., Jankowski J., Kazienko P.: Negative Effects of Incentivised Viral Campaigns for Activity in Social Networks. SCA2012 - The 2nd International Conference on Social Computing and its Applications, November 1-3, 2012, Xiangtan, Hunan, China, IEEE Computer Society, 2012, pp. 391-398. 
  87. Michalski R., Kazienko, P.: Towards the Exception-Aware Workflow System. Applied Computing 2012 - The IADIS Applied Computing 2012 Conference, October 19-21, Madrid, Spain, IADIS Press, 2012. pp. 413-416. 
  88. Kajdanowicz T., Kazienko P., Janczak M.: Collective Classification Techniques: an Experimental Study. ADBIS 2012 - 16th East-European Conference on Advances in Databases and Information Systems, MCSD 2012 - Mining Complex and Stream Data, September 17-21, 2012, Poznan, Poland, New Trends in Databases and Information Systems, Vol. 185, Springer, 2012, pp. 99-108. PDF  
  89. Michalski R., Kazienko, P.: Gathering Information about Social Network Users by means of CSRF Attack. MiSSI 2012 - The 8th International Conference on Multimedia & Network Information Systems, September 19-21, 2012, Wrocław, Poland, Wydawnictwo TEMPO, Wrocław, 2012. pp. 165-173. 
  90. Indyk, W., Kajdanowicz, T., Kazienko, P.: Cooperative Decision Making Algorithm for Large Networks using MapReduce Programming Model. CDVE2012 - The 9th International Conference on Cooperative Design, Visualization and Engineering, September 2-5, 2012, Osaka, Japan, Lecture Notes in Computer Science LNCS 7467, Springer, 2012, pp. 53-56.  
  91. Indyk, W., Kajdanowicz, T., Kazienko, P.: Web Spam Detection Using MapReduce Approach to Collective Classification. CISIS 2012 - 5th International Conference on Computational Intelligence in Security for Information Systems, Ostrava, Czech Republic, September 5-8, 2012, Advances in Intelligent Systems and Computing, Vol. 189, Springer, 2013, pp. 197-206.  
  92. Saganowski S., Bródka P., Kazienko P.: Influence of the Dynamic Social Network Timeframe Type and Size on the Group Evolution Discovery. ASONAM 2012 - The 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 26-29 August, 2012, Istanbul, Turkey, IEEE Computer Society, 2012, pp. 678-682. 
  93. Michalski R., Kazienko P., Król D.: Predicting Social Network Measures using Machine Learning Approach. ASONAM 2012 - The 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 26-29 August, 2012, Istanbul, Turkey, IEEE Computer Society, 2012, pp. 1088-1091.  
  94. Gliwa B., Saganowski S., Zygmunt A., Bródka P., Kazienko P., Koźlak J.: Identification of Group Changes in Blogosphere. ASONAM 2012 - The 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 26-29 August, 2012, Istanbul, Turkey, IEEE Computer Society, 2012, pp. 1233-1238. 
  95. Bródka P., Saganowski S., Kazienko P.: Group Evolution Discovery in Social Networks. NetSci 2012 - The International School and Conference on Network Science, June 18-22, 2012, Evanston, IL, USA. 
  96. Indyk, W., Kajdanowicz, T., Kazienko, P., Plamowski, S.: MapReduce Approach to Collective Classiffcation. ICAISC 2012, International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, April 29 - May 3, 2012, Lecture Notes in Computer Science LNCS 7267, Springer, 2012, pp. 656-663.  
  97. Kazienko P.: Social Network Analysis: Selected Methods and Applications. The DATESO 2012 - Annual International Workshop on DAtabases, TExts, Specifications and Objects, Zernov, Rovensko pod Troskami, Czech Republic, April 18, 2012. CEUR Workshop Proceedings 837, CEUR-WS.org, 2012, p. 151.
  98. Kajdanowicz, T., Plamowski, S., Kazienko, P., Indyk W.: Transfer Learning Approach to Debt Portfolio Appraisal. HAIS 2012, The 7th International Conference on Hybrid Artificial Intelligence Systems, Salamanca, Spain, March 28-30, 2012, Lecture Notes in Computer Science LNCS 7209, Springer, 2012, pp. pp. 46-55.  
  99. Kajdanowicz T., Kazienko P.: Learning and Inference Order in Structured Output Elements Classification. ACIIDS 2012, The 4th Asian Conference on Intelligent Information and Database Systems, Kaohshiung, Taiwan, March 19-21, 2012, Springer, Lecture Notes on Artificial Intelligence LNAI 7196, 2012, pp. 301-309. 
  100. Kajdanowicz T., Plamowski S., Kazienko P.: Distance Measures in Training Set Selection for Debt Value Prediction. The 1st Indo-Japan conference on Perception and Machine Intelligence (PerMIn12), Kolkata, India, January 12-13, 2012, Lecture Notes in Computer Science LNCS 7143, 2012, pp. 219-226. 
  101. Kajdanowicz T., Plamowski S., Kazienko P.: Training Set Selection Using Entropy Based Distance. AEECT 2011, 2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, Amman, Jordan, December, 6-8, 2011, Jordan University Press, 2011, pp. 340-344. 
  102. Bródka P., Skibicki K., Kazienko P., Musiał K.: A Degree Centrality in Multi-layered Social Network. CASoN 2011, The International Conference on Computational Aspects of Social Networks Salamanca, Spain, October 19-21, 2011, IEEE Computer Society, 2011, pp. 237-242. 
  103. Michalski R., Palus S., Kazienko P., Bródka P., Juszczyszyn K.: Modelling Social Network Evolution. SocInfo'11, The Third International Conference on Social Informatics, 6-8 October, 2011, Singapore, Lecture Notes in Computer Science LNCS 6984, Springer, 2011, pp. 283-286. 
  104. Bródka P., Saganowski P., Kazienko P.: Tracking Group Evolution in Social Networks. SocInfo'11, The Third International Conference on Social Informatics, 6-8 October, 2011, Singapore, Lecture Notes in Computer Science LNCS 6984, Springer, 2011, pp. 316-319. Best Paper Award, zdjęcia z ceremonii wręczania 1, 2 i 3  
  105. Kazienko P., Musial K., Kukla E., Kajdanowicz T., Bródka P.: Multidimensional Social Network: Model and Analysis. ICCCI 2011, The 3rd International Conference on Computational Collective Intelligence - Technologies and Applications, 21-23 September 2011, Gdynia, Poland, Lecture Notes in Artificial Intelligence LNAI 6922, Springer, 2011, pp. 378-387. 
  106. Pasierb K.E., Kajdanowicz T., Kazienko P.: Current Trends and Difficulties in Knowledge-based E-health Systems. WSKS 2011, The 4th World Summit on the Knowledge Society, Mykonos, Greece, 21-23 September 2011, Communications in Computer and Information Science CCIS 278, Springer, 2013, pp. 135-140. 
  107. Bródka P., Filipowski T., Kazienko P.: An Introduction to Community Detection in Multi-layered Social Network. WSKS 2011, The 4th World Summit on the Knowledge Society, Mykonos, Greece, 21-23 September 2011, Communications in Computer and Information Science CCIS 278, Springer, 2013, pp. 185-190. 
  108. Popowicz D., Bródka P., Kazienko P., Kozielski M.: Ask Your Friends for Help: A Collaborative Query Answering System, CDVE 2011, The 8th International Conference on Cooperative Design, Visualization and Engineering, Hong Kong, September 11-14, 2011, Lecture Notes in Computer Science LNCS 6874, Springer, 2011, pp. 110-113.
  109. Kajdanowicz T., Kazienko P.: Learning Order in Boosting-based Classification of Structured Output Elements. CoLISD: Collective Learning and Inference on Structured Data - a workshop at ECML/PKDD 2011, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Athens, Greece, September 9, 2011, Lecture Notes in Artificial Intelligence LNAI , Springer, 2011, pp. . 
  110. Kazienko P., Kukla E., Musial K., Kajdanowicz T., Bródka P., Gaworecki J.: A Generic Model for Multidimensional Temporal Social Network. ICeND2011, The First International Conference on e-Technologies and Networks for Development, Dar-es-Salaam, Tanzania, August 3-5, 2011, Communications in Computer and Information Science, CCIS 171, Springer, 2011, pp. 1-14. 
  111. Bródka P., Saganowski S., Kazienko P.: Group Evolution Discovery in Social Networks. ASONAM 2011, The 2011 International Conference on Advances in Social Network Analysis and Mining, Kaohsiung, Taiwan, 25-27 July 2011, IEEE Computer Society, 2011, pp. 247-253.  
  112. Zygmunt A., Bródka P., Kazienko P., Koźlak J.: Different Approaches to Groups and Key Person Identification in Blogosphere. SNAA 2011, The First Workshop on Social Network Analysis in Applications, at ASONAM 2011, The 2011 International Conference on Advances in Social Network Analysis and Mining, Kaohsiung, Taiwan, 25-27 July 2011, IEEE Computer Society, 2011, pp. 593-598. 
  113. Bródka P., Stawiak P., Kazienko P.: Shortest Path Discovery in the Multi-layered Social Network. ASONAM 2011, The 2011 International Conference on Advances in Social Network Analysis and Mining, Kaohsiung, Taiwan, 25-27 July 2011, IEEE Computer Society, 2011, pp. 497-501.  
  114. Kazienko P., Michalski R., Palus S.: Social Network Analysis as a Tool for Improving Enterprise Architecture. KES-AMSTA'2011, The 5th International KES Symposium on Agents and Multi-agent Systems - Technologies and Applications, June 29-July 01, 2011, Manchester, UK, Lecture Notes in Artificial Intelligence LNAI 6682, Springer, 2011, pp. 651-660.
  115. Michalski R., Palus S., Kazienko P.: Matching Organizational Structure and Social Network Extracted from Email Communication. BIS 2011, 14th International Conference on Business Information Systems, Poznań, Poland, June 15-17, 2011, Springer, Lecture Notes in Business Information Processing LNBIP 87, 2011, pp. 197-206. The manufacturing emails network dataset can be found here. 
  116. Kajdanowicz T., Kazienko P.: Structured Output Element Ordering in Boosting-based Classification. HAIS 2011, The 6th International Conference on Hybrid Artificial Intelligence Systems, Wroclaw, Poland, May 23-25, 2011, Lecture Notes in Artificial Intelligence LNAI 6679, Springer, 2011, pp. 221-228. 
  117. Kajdanowicz T., Wozniak M., Kazienko P.: Multiple Classifier Structured Prediction based on Error-Correcting Output Codes. ACIIDS 2011, The 3rd Asian Conference on Intelligent Information and Database Systems, Daegu, Korea, April 20-22, 2011, Lecture Notes in Artificial Intelligence LNAI 6592, Springer, 2011, pp. 333-342. 
  118. Kajdanowicz T., Kazienko P.: A Method of Label-dependent Feature Extraction in Social Networks. ICCCI'2010, The 2nd International Conference on Computational Collective Intelligence Technology and Applications, November 10-12, 2010, Kaohsiung, Taiwan, Part II, Lecture Notes in Artificial Intelligence LNAI 6422, Springer, 2010, pp. 11-21. 
  119. Kukla G., Kazienko P., Bródka P., Filipowski T.: Recommendation Boosted Query Propagation in the Social Network. SocInfo'2010, The Second International Conference on Social Informatics, 27-29 October, 2010, Laxenburg, Austria, Lecture Notes in Artificial Intelligence LNAI 6430, Springer, 2010, pp. 113-124.  
  120. Kajdanowicz T., Kazienko P., Doskocz P.: Label-dependent Feature Extraction in Social Networks for Node Classification. SocInfo'2010, The Second International Conference on Social Informatics, 27-29 October, 2010, Laxenburg, Austria, Lecture Notes in Artificial Intelligence LNAI 6430, Springer, 2010, pp. 89-102.  
  121. Kajdanowicz T., Kazienko P., Doskocz P., Litwin K.: An Assessment of Node Classification Accuracy in Social Networks using Label-dependent Feature Extraction. WSKS 2010, The 3rd World Summit on the Knowledge Society, Corfu, Greece, September, 22-24, 2010, Communications in Computer and Information Science, CCIS 111, Springer, 2010, pp. 125-130.  
  122. Palus S., Bródka P., Kazienko P.: How to Analyze Company Using Social Network?. WSKS 2010, The 3rd World Summit on the Knowledge Society, Corfu, Greece, September, 22-24, 2010, Communications in Computer and Information Science, CCIS 111, Springer, 2010, pp. 159-164.  
  123. Bródka P., Musial K., Kazienko P.: A Method for Group Extraction in Complex Social Networks. WSKS 2010, The 3rd World Summit on the Knowledge Society, Corfu, Greece, September, 22-24, 2010, Communications in Computer and Information Science, CCIS 111, Springer, 2010, pp. 238-247. 
  124. Palus S., Kazienko P.: Conversation Threads Hidden Within Email Server Logs. WSKS 2010, The 3rd World Summit on the Knowledge Society, Corfu, Greece, September, 22-24, 2010, Communications in Computer and Information Science, CCIS 111, Springer, 2010, pp. 407-413. 
  125. Palus S., Kazienko P.: Social Network Analysis in Corporate Management. 7th International Conference on Multimedia & Network Information Systems, Wrocław, September 23-24, 2010. Chapter 11 in Nguyen N.T., Zgrzywa A., Czyzewski A. (eds.) Advances in Multimedia and Network Information System Technologies, Advances in Intelligent and Soft Computing, AISC 80, Springer, 2010, pp. 113-119. 
  126. Kazienko P., Bródka P., Musiał K.: Individual Neighbourhood Exploration in Complex Multi-layered Social Network. WI-IAT 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, CISWSN 2010, The Third Workshop on Collective Intelligence in Semantic Web and Social Networks workshop, 31 August - 3 September 2010, Toronto, Canada, WI-IAT 2010 Workshops proceedings, IEEE Computer Society Press, 2010, pp. 5-8. 
  127. Kazienko P.,Bródka P., Musial K., Gaworecki J.: Multi-layered Social Network Creation Based on Bibliographic Data. SocialCom-10, The Second IEEE International Conference on Social Computing, SIN-10 Symposium on Social Intelligence and Networking, August 20-22, 2010, Minneapolis, Minnesota, USA, IEEE Computer Society Press, 2010, pp. 407-412. 
  128. Kajdanowicz T., Kazienko P.: A Method for Business Sequential Data Prediction. AMCIS 2010, 16th Americas Conference on Information Systems, August 12-15, 2010, Lima, Peru, Association for Information Systems (AIS), AMCIS 2010 Proceedings, Paper 537, AIS Electronic Library (AISeL). Best Paper Award Nomination (15 nominacji na ponad 600 referatów). 
  129. Kajdanowicz T., Kazienko P., Kraszewski J.: Boosting Algorithm with Sequence-loss Cost Function for Structured Prediction. HAIS 2010, The 5th International Conference on Hybrid Artificial Intelligence Systems San Sebastián, Spain, June 23-25, 2010, Special Session on Methods of Classifiers Fusion, Lecture Notes in Artificial Intelligence LNAI 6076, Springer, 2010, pp. 575-582. 
  130. Kajdanowicz T., Kazienko P.: Incremental Prediction for Sequential Data. ACIIDS 2010, The 2nd Asian Conference on Intelligent Information and Database Systems, Hue City, Vietnam, March 24-26, 2010, Lecture Notes in Artificial Intelligence LNAI 5991, Springer, 2010, pp. 359-367. 
  131. Kajdanowicz T., Kazienko P.: Prediction of Sequential Values for Debt Recovery. CIARP 2009, The 14th Iberoamerican Congress on Pattern Recognition, November 15-18, 2009, Guadalajara, Mexico, Lecture Notes in Computer Science LNCS 5856, Springer, 2009, pp. 337-344. 
  132. Kajdanowicz T., Kazienko P.: Computational Method for Debt Portfolio Valuation. The 8th Mexican International Conference on Artificial Intelligence, MICAI 2009, November 9-13, 2009, Guanajuato, Mexico, IEEE Computer Society, 2009, pp. 144-149. 
  133. Kajdanowicz T., Kazienko P.: Hybrid Repayment Prediction for Debt Portfolio. The 1st International Conference on Computational Collective Intelligence - Semantic Web, Social Networks & Multiagent Systems, ICCCI'09, 5-7 October, 2009, Wrocław, Poland, Lecture Notes in Artificial Intelligence LNAI 5796, Springer, 2009, pp. 850-857. 
  134. Bródka P., Musiał K., Kazienko P.: Efficiency of Node Position Calculation in Social Networks. 13th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES 2009, Session on Social Networks, September 28-30, 2009, Santiago, Chile, Lecture Notes in Artificial Intelligence LNAI 5712, Springer, 2009, pp. 455-463. 
  135. Kazienko P., Bródka P., Ruta D.: The Influence of Customer Churn and Acquisition on Value Dynamics of Social Neighbourhoods. The 2nd World Summit on the Knowledge Society, WSKS 2009, September, 16-18, 2009, Crete, Greece, Lecture Note in Artificial Intelligence, LNAI 5736, Springer, 2009, pp. 491-500. 
  136. Musiał K., Kazienko P., Bródka P.: User Position Measures in Social Networks. The third SNA-KDD Workshop on Social Network Mining and Analysis held in conjunction with The 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2009, June 28, 2009, Paris France, ACM Press, Article no. 6, 2009. 
  137. Bródka P., Musiał K., Kazienko P.: A Performance of Centrality Calculation in Social Networks. International Conference on Computational Aspects of Social Networks, CASoN 2009, June 24-27, 2009, Fontainebleau, France, IEEE Computer Society, 2009, pp. 24-31.
  138. Ruta D., Kazienko P., Bródka P.: Network-Aware Customer Value in Telecommunication Social Networks. The 2009 International Conference on Artificial Intelligence, ICAI'09, July 13-16, 2009, Las Vegas, Nevada, USA, CSREA Press, pp. 261-267. 
  139. Juszczyszyn K., Kazienko P., Musiał K., Gabrys B.: Temporal Changes in Connection Patterns of an Email-based Social Network. The 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI'08) and Intelligent Agent Technology (IAT'08), 2nd Workshop on Collective Intelligence in Semantic Web and Social Networks (CISWSN 2008), December 9-12, 2008, Sydney, Australia, IEEE Computer Society Press, WI-IAT Workshops, 2008, pp. 9-12.
  140. Musiał K. Juszczyszyn K., Gabrys B., Kazienko P.: Patterns of Interactions in Complex Social Networks based on Coloured Motifs Analysis. 15th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly, ICONIP 2008, November 25-28, 2008, Auckland, New Zealand, Revised Selected Papers, Part II, Lecture Note in Artificial Intelligence, LNAI 5507, Springer, 2009, pp. 607-614.
  141. Musiał K. Juszczyszyn K., Gabrys B., Kazienko P.: Patterns of Interactions in Complex Social Networks based on Coloured Motifs Analysis. 15th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly, ICONIP 2008, November 25-28, 2008, Auckland, New Zealand, KEDRI, pp. 450-451.
  142. Musiał K., Kazienko P., Kajdanowicz T.: Social Recommendations within the Multimedia Sharing Systems. The First World Summit on the Knowledge Society, WSKS'08, September 24-28, 2008, Athens, Greece, Springer, Lecture Notes in Computer Science LNCS 5288, 2008, pp. 364-372. Best Paper Award. Zdjęcia 1 i 2 z wręczenia.  
  143. Kazienko P.: Mining Sequential Patterns with Negative Conclusions. 10th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2008, 1-5 September 2008, Turin, Italy, Lecture Notes in Computer Science LNCS 5182, Springer, 2008, pp. 423-432.
  144. Kazienko P., Musiał K., Juszczyszyn K.: Recommendation of Multimedia Objects based on Similarity of Ontologies. KES 2008, 12th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, September 3-5, 2008, Zagreb, Croatia, Springer Verlag, Lecture Notes in Artificial Intelligence LNAI 5177, 2008, pp. 194-201. 
  145. Juszczyszyn K., Kazienko P., Musiał K.: Local Topology of Social Network Based on Motif Analysis. KES 2008, 12th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, September 3-5, 2008, Zagreb, Croatia, Springer Verlag, Lecture Notes in Artificial Intelligence LNAI 5178, 2008, pp. 97-105. 
  146. Kazienko P.: Web-based Recommender Systems and User Needs - the Comprehensive View. 6th International Conference on Multimedia & Network Information Systems, MiSSI 2008, Wrocław, Poland, September 18-19, 2008, IOS Press, 2008, pp. 243-258.
  147. Kazienko P., Kołodziejski P.: Adaptive System for the Integration of Recommendation Methods with Social Filtering Enhancement. 6th International Conference on Multimedia & Network Information Systems, MiSSI 2008, Wrocław, Poland, September 18-19, 2008, IOS Press, 2008, pp. 291-296. 
  148. Kazienko P., Musiał K., Kajdanowicz T.: Profile of the Social Network in Photo Sharing Systems. 14th Americas Conference on Information Systems, AMCIS 2008, Mini-track: Social Network Analysis in IS Research, Toronto, Ontario, Canada, 14-17 August 2008, Association for Information Systems (AIS), ISBN: 978-0-615-23693-3.  
  149. Kazienko P.: Usage-Based Positive and Negative Verification of User Interface Structure. ICAS 2008, The Fourth International Conference on Autonomic and Autonomous Systems, Gosier, Guadeloupe, March 16-21, 2008, IEEE Computer Society Press, 2008, pp. 1-6. PDF
  150. Kazienko P., Musiał K.: Mining Personal Social Features in the Community of Email Users. SOFSEM 2008, The 34th International Conference on Current Trends in Theory and Practice of Computer Science, Nový Smokovec, Slovakia, January 19-25, 2008, Springer Verlag, Lecture Notes in Computer Science LNCS 4910, 2008, pp. 708-719. 
  151. Kazienko P., Musiał K.: Assessment of Personal Importance Based on Social Networks. The 6th Mexican International Conference on Artificial Intelligence, November 4-10, 2007, Aguascalientes, Mexico, Springer Verlag, Lecture Notes in Artificial Intelligence LNAI 4827, 2007, pp. 529-539. 
  152. Kazienko P.: Expansion of Telecommunication Social Networks. The fourth International Conference on Cooperative Design, Visualization and Engineering, CDVE 2007, September 16-20, 2007, Shanghai, China, Springer Verlag, Lecture Notes in Computer Science LNCS 4674, 2007, pp. 404-412.
  153. Kazienko P.: Filtering of Web Recommendation Lists Using Positive and Negative Usage Patterns. KES2007, 11th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Recommender Agents and Adaptive Web-based Systems RAAWS 2007, Vietri sul Mare, Italy, September 12-14, 2007, Springer Verlag, Lecture Notes in Artificial Intelligence LNAI 4694, Part III, 2007, pp. 1016-1023.
  154. Kajdanowicz T., Kazienko P., Musiał K.: Discovering Multidimensional Social Communities in Web 2.0. The 3rd European Symposium on Nature-inspired Smart Information Systems, St Julians, Malta, November 26-28, 2007.  
  155. Kazienko P., Musiał K., Przybycin A., Zgrzywa A.: Concepts and Applications of Social Network Analysis in Telecommunication. The 28th International Scientific School Information Systems Architecture and Technology, ISAT'2007, September 20-21, 2007, Szklarska Poręba, Biblioteka Informatyki Szkół Wyższych, Politechnika Wrocławska, 2007, pp. 71-77. 
  156. Kopel M., Kazienko P.: Application of Agent-based Personal Web of Trust to Local Document Ranking. KES AMSTA 2007, The 1st KES Symposium on Agent and Multi-Agent Systems - Technologies and Applications, Wrocław, 31 May-1 June, 2007, Springer Verlag, Lecture Notes in Artificial Intelligence LNAI 4496, 2007, pp. 288-297. PDF
  157. Kazienko P., Musiał K.: Social Capital in Online Social Networks. KES 2006, 10th International Conference on Knowledge-Based Intelligent Information & Engineering Systems, Special Session on Nature-inspired Data Mining, Bournemouth, UK, October 9-11, 2006, Springer Verlag, Lecture Notes in Artificial Intelligence LNAI 4252, 2006, pp. 417-424. PDF 
  158. Kazienko P., Pilarczyk M.: Hyperlink Assessment Based on Web Usage Mining. Proceedings of the Seventeenth Conference on Hypertext and Hypermedia, ACM Hypertext, HT'06, August 22-25, 2006, Odense, Denmark, ACM Press, 2006, pp. 85-88. PDF 
  159. Kazienko P., Musiał K., Zgrzywa A.: Selection of the Target Group based on Social Network. 2nd European Symposium on Nature-inspired Smart Information Systems, Puerto de la Cruz, Tenerife, Spain, November 29-December 1, 2006. 
  160. Kazienko P., Musiał K.: Recommendation Framework for Online Social Networks. The 4th Atlantic Web Intelligence Conference, AWIC 2006, June 5-7, 2006, Beer-Sheva, Israel, Studies in Computational Intelligence, Springer Verlag, Vol. 23, 2006, pp. 111-120. PDF 
  161. Kazienko P., Kuźmińska K.: The Influence of Indirect Association Rules on Recommendation Ranking Lists. 5th International Conference on Intelligent Systems Design and Applications, ISDA 2005, International Workshop on Recommender Agents and Adaptive Web-based Systems, RAAWS 2005, Wrocław, September 8-10, 2005, IEEE Computer Society, pp. 482-487. 
  162. Kazienko P., Kołodziejski P.: WindOwls - Adaptive System for the Integration of Recommendation Methods in E-commerce. Third Atlantic Web Intelligence Conference Proceedings, Łódź, Poland, June 6-9, 2005, Lecture Notes in Artificial Intelligence LNAI 3528, Springer Verlag, 2005, pp. 218-224. PDF 
  163. Kazienko P.: IDARM - Mining of Indirect Association Rules. New Trends in Intelligent Information Processing and Web Mining Proceedings of the International IIS: IIPWM´05 Conference, Gdańsk, June 13-16, 2005, Advances in Soft Computing, Springer Verlag 2005, pp. 77-86.
  164. Kazienko P.: Multi-agent System for Web Advertising. KES 2005, 9th International Conference on Knowledge-Based Intelligent Information & Engineering Systems, Melbourne, Australia, September 14-16, 2005, Lecture Notes in Artificial Intelligence LNAI 3682, Springer Verlag, pp. 507-513. PDF
  165. Kazienko P., Matrejek M.: Adjustment of Indirect Association Rules for the Web. SOFSEM 2005, Liptovsky Jan, Slovak Republic, January 22-28, 2005, Springer Verlag, Lecture Notes in Computer Science LNCS 3381, 2005, pp. 211-220. 
  166. Kazienko P.: Product Recommendation in E-Commerce Using Direct and Indirect Confidence for Historical User Sessions. DS'04. 7th International Conference on Discovery Science, Padova, Italy, October 2-5, 2004, Springer Verlag, Lecture Notes in Artificial Intelligence LNAI 3245, pp. 255-269. PDF
  167. Kazienko P.: Multi-agent Web Recommendation Method Based on Indirect Association Rules. KES 2004, 8th International Conference on Knowledge-Based Intelligent Information & Engineering Systems, Wellington, New Zealand, September 20-25, 2004, Part II, Lecture Notes in Artificial Intelligence LNAI 3214, Springer Verlag, pp. 1157-1164. PDF
  168. Kazienko P., Adamski M.: Personalized Web Advertising Method. Adaptive Hypermedia 2004, August 24-26, 2004, Eindhoven, The Netherlands, Lecture Notes in Computer Science LNCS 3137, Springer Verlag, pp. 146-155. PDF 
  169. Kazienko P., Matrejek M.: Parameters for Mining Indirect Associations in the Web Environment. Proceedings of Multimedia and Network Information Systems Conference. Vol. II. Szklarska Poręba, Poland, September 16-17, 2004, pp. 201-211. Photo1, Photo2 
  170. Kazienko P., Kiewra M.: Integration of Relational Databases and Web Site Content for Product and Page Recommendation. 8th International Database Engineering & Applications Symposium. IDEAS '04 July, 7th - 9th 2004, Coimbra, Portugal, IEEE Computer Society, pp. 111-116. PDF 
  171. Kazienko P., Sobecki J.: XML-based Learning Scenario Representation and Presentation in the Adaptive E-learning Environment. The 17th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems. IEA/AIE 2004. May 17-20, 2004, Ottawa, Canada, Lecture Notes in Artificial Intelligence LNAI 3029, Springer Verlag, pp. 967-976. PDF
  172. Kazienko P., Kiewra M.: ROSA - Multi-agent System for Web Services Personalization. First Atlantic Web Intelligence Conference Proceedings, Madrid, Spain, May 5-6, 2003, Lecture Notes in Artificial Intelligence LNAI 2663, Springer Verlag, 2003, pp. 297-306. PDF 
  173. Kazienko P., Kiewra M.: Link Recommendation Method Based on Web Content and Usage Mining. New Trends in Intelligent Information Processing and Web Mining Proceedings of the International IIS: IIPWM´03 Conference, Zakopane, June 2-5, 2003, Advances in Soft Computing, Springer Verlag 2003, pp. 529-534. 
  174. Kazienko P., Zgrzywa M.: The Evolution of the Information Retrieval Languages for XML Documents. Information Systems Applications and Technology ISAT 2003 Seminar. Proc. of the 24th Int. Scientific School. Wrocław University of Technology, 2003, pp. 92-99. 
  175. Kazienko P., Litwin M.: On Using Topic Maps for Knowledge Representation. Information Systems Applications and Technology ISAT 2003 Seminar. Proc. of the 24th International Scientific School. Wrocław University of Technology, 2003, pp. 100-107. 
  176. Gwiazda K., Kazienko P: XLink - the future of document linking. Information Systems Architecture and Technology ISAT 2001. Conference proceedings, Wroclaw University of Technology, 2001, pp. 132-139.

Książki i rozdziały w książkach

 

  1. Kajdanowicz T., Kazienko P.: Collective Classification. in Encyclopedia of Social Network Analysis and Mining, The 2nd Edition, Springer, 2018, pp. 253-265.
  2. Kazienko P., Kajdanowicz T.: Collective Classification, Structural Features. in Encyclopedia of Social Network Analysis and Mining, The 2nd Edition, Springer, 2018, pp. 265-278.
  3. Saganowski S., Bródka P., Kazienko P.: Community Evolution. in Encyclopedia of Social Network Analysis and Mining, The 2nd Edition, Springer, 2018, pp. 357-370. 
  4. Kazienko P., Indyk W., Kajdanowicz T., Bartusiak R.: Distributed Processing of Networked Data. in Encyclopedia of Social Network Analysis and Mining, The 2nd Edition, Springer, 2018, pp. 662-668. 
  5. Bródka P., Kazienko P.: Multilayer Social Networks. in Encyclopedia of Social Network Analysis and Mining, The 2nd Edition, Springer, 2018, pp. 1408-1422.
  6. Kazienko P.: Process of social network analysis. in Encyclopedia of Social Network Analysis and Mining, The 2nd Edition, Springer, 2018, pp. 1927-1942.
  7. Michalski R., Kazienko P.: Social Network Analysis in Organizational Structures Evaluation in Encyclopedia of Social Network Analysis and Mining, The 2nd Edition, Springer, 2018, pp. 2677-2689.
  8. Kazienko P., Chawla N. (eds.): Applications of Social Media and Social Network Analysis. Lecture Notes in Social Networks, Springer, 2015. ISBN: 978-3-319-19002-0 (Print) 978-3-319-19003-7 (Online)
    Applications of Social Media and Social Network Analysis
  9. Michalski R., Kazienko P.: Maximizing Social Influence in Real-World Networks - the State of the Art and Current Challenges. Chapter in Krol D., Fay D., Gabrys B. (eds.): Propagation Phenomena in Real World Networks, in Propagation Phenomena in Real World Networks. Intelligent Systems Reference Library Volume 85, 2015, pp 329-359. 
  10. Kajdanowicz T., Kazienko P.: Collective Classification. in Encyclopedia of Social Network Analysis and Mining, Volume 1. Springer, 2014, pp. 144-156.
  11. Kazienko P., Kajdanowicz T.: Collective Classification, Structural Features. in Encyclopedia of Social Network Analysis and Mining, Volume 1. Springer, 2014, pp. 156-168.
  12. Bródka P., Saganowski S., Kazienko P.: Community Evolution. in Encyclopedia of Social Network Analysis and Mining, Volume 1. Springer, 2014, pp. 220-232. 
  13. Kazienko P., Indyk W., Kajdanowicz T.: Distributed Processing of Networked Data. in Encyclopedia of Social Network Analysis and Mining, Volume 1. Springer, 2014, pp. 400-403.  
  14. Bródka P., Kazienko P.: Multilayered social networks. in Encyclopedia of Social Network Analysis and Mining, Volume 2. Springer, 2014, pp. 998-1013.
  15. Kazienko P.: Process of social network analysis. in Encyclopedia of Social Network Analysis and Mining, Volume 2. Springer, 2014, pp. 1418-1432. 
  16. Michalski R., Kazienko P.: Social Network Analysis in Organizational Structures Evaluation in Encyclopedia of Social Network Analysis and Mining, Volume 3. Springer, 2014, pp. 1832-1844. 
  17. Filipowski T., Bródka P., Kazienko P.: EcoRide - the social-based system for car traffic optimization. Chapter 10 in De Pablos P.O. (ed.) Green Technologies and Business Practices: An IT Approach. IGI-Global, 2012, pp. 175-184. 
  18. Kazienko P., Doskocz P., Kajdanowicz T.: Social Network Analysis in Marketing. Chapter 16 in Colomo-Palacios R., Varajao J., Soto-Acosta P. (eds.) Customer Relationship Management and the Social and Semantic Web. IGI-Global, 2011, pp. 271-283. 
  19. Palus S., Kazienko P., Michalski R.: Evaluation of Corporate Structure Based on Social Network Analysis. Chapter 5 in Cakir A., De Pablos P.O. (eds.) Social Development and High Technology Industries: Strategies and Applications. IGI-Global, 2011, pp. 58-69.  
  20. Kazienko P., Bródka P.: Data warehouses. PRINTPAP, Łódź, 2011. 
    Data Warehouses
  21. Juszczyszyn K., Kazienko P., Musiał K.: Personalized Ontology-based Recommender Systems for Multimedia Objects, Chapter 10 in Hakensson A., Hartung R., Nguyen N.T. (eds): Multi-agent system technology for Internet and Enterprise Systems, Series: Studies in Computational Intelligence, Vol. 289, Springer Verlag, 2010, pp. 275-292. 
  22. Kazienko P.: Associations: Discovery, Analysis and Applications. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, 2008
    .Associations: Discovery, Analysis and Applications
  23. Musiał K., Kazienko P., Kajdanowicz T.: Multirelational Social Networks in Multimedia Sharing Systems. Chapter 18 in N.T.Nguyen, G.Kołaczek, B.Gabryś (eds.) Knowledge Processing and Reasoning for Information Society, Academic Publishing House EXIT, Warszawa, 2008, pp. 275-292.  
  24. Kazienko P., Kiewra M.: Personalized Recommendation of Web Pages. Chapter 10 in: Nguyen T. (ed.) Intelligent Technologies for Inconsistent Knowledge Processing. Advanced Knowledge International, Adelaide, South Australia, 2004, pp. 163-183. 
  25. Kazienko P., Gwiazda K.: XML na poważnie. Helion, Gliwice 2002. ZIP z przykładami z książki. 

 

 XML na poważnieSpis treści + przykładowy rozdział (drugi). 

 

Artykuły w czasopismach krajowych

 

  1. Dzieżyc M., Kazienko P.: Jaka jest efektywność projektów badawczych. Forum Akademickie, Vol. 07-08, 2018. 
  2. Pokrywka P., Kazienko P.: Serwis porównujący ceny z wielu sklepów internetowych. Software 2.0 nr 6, czerwiec 2004, s. 70-76. PDF, Pełen tekst 
  3. Kazienko P.: Elastyczna ochrona w elektronicznej wymianie danych. NetWorld, grudzień 12/2003, s. 64-69. PDF
  4. Kazienko P.: Co tam panie w XML-u?. Software 2.0 czerwiec, nr 6 (102) 2003, s. 26-30.
  5. Dorosz P., Kazienko P.: IDS - systemy wykrywania włamań - cz. I. Rodzaje i objawy włamań. Zadania i budowa systemów IDS. IT FAQ, 12 (3) grudzień 2002, s. 21-27. Wersja angielska dostępna jest w serwisie www.windowsecurity.com (nie ja to tłumaczyłem!) 
  6. Dorosz P., Kazienko P.: IDS - systemy wykrywania włamań - cz. II. Klasyfikacja, metody i techniki. IT FAQ, 1 (4) styczeń 2003, s. 17-22. Wersja angielska dostępna jest w serwisie www.windowsecurity.com (nie ja to tłumaczyłem!)
  7. Dorosz P., Kazienko P.: IDS - systemy wykrywania włamań (3). Reagowanie na włamania i kierunki rozwoju. Komercyjne systemy IDS. IT FAQ, 2 (5) luty 2003, s. 30-34. 
  8. Cholawska K., Kazienko P.: Zagrożenia prawne związane z podpisem elektronicznym. Studium przypadku. telenet forum, kwiecień 04/2003, s. 27-29. 
  9. Kazienko P.: Pułapki podpisu elektronicznego (cz. 2). Niebezpieczeństwa organizacyjne. telenet forum, luty 02/2003, s. 40-42.
  10. Kazienko P.: Pułapki podpisu elektronicznego, cz.I. PKI, OCSP, zagrożenia kryptograficzne, datowanie. telenet forum, styczeń 01/2003, s. 35-37.
  11. Kazienko P.: XML a sprawa polska. Chip Special. Poradnik Webmastera, nr 11(69) 2002, s. 69-71.
  12. Dorosz P., Kazienko P.: Bezpieczeństwo zintegrowane. Computerworld Raport, grudzień 2002, s. 20-21. (Systemy wykrywania włamań - kierunki rozwoju) 
  13. Dorosz P., Kazienko P.: Ochrona niezupełnie doskonała. Computerworld Raport, grudzień 2002, s. 18-19. (Systemy wykrywania włamań - ocena i problemy) 
  14. Kazienko P.: Ochrona selektywna. Computerworld Raport, grudzień 2002, s. 24-25. (Rzecz o XML-owych standardach bezpieczeństwa)
  15. Kazienko P.: Dylematy języka XML. telenet forum, listopad 11/2002, s. 36-39.
  16. Dorosz P., Kazienko P.: Omijanie systemów wykrywania włamań. Software 2.0 nr 9 (93), wrzesień 2002, s. 48-54. 
  17. Kazienko P.: Finezja odsyłaczy hipertekstowych. Tele.net Forum, wrzesień 09/2002, s. 24-29. (Tekst o XML-owym języku odsyłaczy XLink)
  18. Kazienko P.: Rodzina języków XML. Software 2.0 nr 6 (90), czerwiec 2002, s. 22-27.
  19. Kazienko P.: Strukturalne podobieństwo dokumentów hipertekstowych. Informacja Wiedza Gospodarka. (VI Krajowe Forum Informacji Naukowej i Technicznej, Katowice, 2001). Prace PTIN NR 4, Polskie Towarzystwo Informacji Naukowej, Warszawa 2001, s.244-253
  20. Kazienko P.: Rodzaje stron i odsyłaczy w systemie WWW. Informatyka, Nr 2, Luty 1999, s. 24-35. Rysunki
  21. Kazienko P.: Struktura hipertekstu a struktura systemu WWW. Zagadnienia Informacji Naukowej, Nr 2 (72), 1998, s. 36-56.

Konferencje krajowe i ważniejsze raporty

  1. Kajdanowicz T., Tagowski K., Falkiewicz M., Bielak P., Kazienko P., Chawla N.V.: Incremental embedding for temporal networks. 2019, arXiv:1904.03423
  2. Kazienko P.: Eksploracja danych w złożonych, społecznych systemach sieciowych., Konferencja dla Kierowników Grantów, Zakopane, 2 grudnia 2011.
  3. Kazienko P.: Eksploracja danych w systemach rekomendacyjnych., Konferencja dla Kierowników Grantów MNiSW, Zakopane, 12-16 grudnia 2007.
  4. Kazienko P., Nowicki P.: Technologie XML. Software Konferencje, Warszawa, 8-10 październik 2007.
  5. Kazienko P., Musiał K., Zgrzywa A.: Evaluation of Node Position Based on Mutual Interaction in Social Network of Internet Users. II Krajowa Konferencja Naukowa Technologie Przetwarzania Danych, TPD 2007, 24-26 września, 2007, Poznań, Wydawnictwo Politechniki Poznańskiej, 2007, pp. 265-276. 
  6. Kazienko P., Musiał K.: Social networks. Nature-inspired Smart Information Systems, Network of Excellence, 2005. PDF.
  7. Kazienko P., Nowicki P.: Zastosowanie standardu XML do budowy aplikacji internetowych i wymiany danych. Warsztaty. Software Konferencje, Warszawa, 7-8 listopad 2005. 
  8. Kazienko P., Nowicki P., Sadowski P.: Zastosowanie standardu XML do budowy aplikacji internetowych i wymiany danych. Warsztaty. Software Konferencje, Warszawa, 18-19 stycznia 2005. 
  9. Żurakowski M., Kazienko P.: Zastosowanie sieci Bayesa w wykrywaniu ataków DoS. SECURE 2004, Warszawa, 20-21 października 2004. PDF 
  10. Kazienko P.: Zaawansowane technologie XML. Software Konferencje, Warszawa, 15-16 kwietnia 2004, str. 5-49, 79-107.
  11. Kazienko P.: Wykorzystanie brokerów integracyjnych oraz języka XML w integracji rozwiązań biznesowych oraz B2B. Konferencja: EAI - sposób optymalizacji i automatyzacji procesów biznesowych. Software Konferencje, Warszawa, 24-25 luty 2004, s. 61-95. PDF
  12. Kazienko P.: EDI, XML i ochrona danych. SECURE 2003. Warszawa, 5-6 listopad 2003, s. 117-131. PDF
  13. Kazienko P.: Ograniczenia systemów wykrywania włamań. VI Krajowa Konferencja Bezpieczeństwa Sieciowego. Warszawa, 15-16 październik 2003, s.49-61
  14. Kazienko P., Nowicki P., Sadowski P.: Zastosowanie standardu XML do budowy aplikacji internetowych i wymiany danych. Warsztaty. Software Konferencje, Warszawa, 3-4 wrzesień 2003. 
  15. Kazienko P.: Bezpieczeństwo dokumentów XML. VII Krajowa Konferencja Zastosowań Kryptografii ENIGMA 2003, Warszawa 12-15 maja 2003, s. K-191-203. PDF
  16. Kazienko P.: Eksploracja danych a serwisy internetowe. SAS Forum, Warszawa, 2-4 kwietnia 2003.
  17. Kazienko P.: Jak złapać intruza? Objawy włamań, możliwosci i ograniczenia systemów wykrywania włamań. W: Open Source Security. Materiały konferencyjne. Software Konferencje, Warszawa, 5-6 lutego 2003, s. 5-19.
  18. Kazienko P.: Meandry podpisu elektronicznego. W: IT Forum SECURE. Materiały konferencyjne. II Dzień. Warszawa, 6-7 listopad 2002.
  19. Kazienko P.: XML - pytania projektanta. W: XML w praktyce. Materiały konferencyjne. Software Konferencje, Warszawa, 6-7 listopad 2002, s. 17-28.
  20. Kazienko P.: Modelowanie dokumentów XML Schema. W: XML w praktyce. Materiały konferencyjne. Software Konferencje, Warszawa, 6-7 listopad 2002, s. 29-44.
  21. Kazienko P.: Bezpieczeństwo dokumentów XML czyli XML Signature i XML Encryption. W: XML w praktyce. Materiały konferencyjne. Software Konferencje, Warszawa, 6-7 listopad 2002.
  22. Kazienko P., Zgrzywa M.: Języki wyszukiwania w dokumentach XML. W: MiSSI 2002. Multimedialne i Sieciowe Systemy Informacyjne. Materiały konferencyjne pod red. Cz. Daniłowicza. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, 2002, s. 391-400.
  23. Kazienko P., Cholawska K.: Niebezpieczeństwa infrastruktury klucza publicznego PKI. W: MiSSI 2002. Multimedialne i Sieciowe Systemy Informacyjne. Materiały konferencyjne pod red. Cz. Daniłowicza. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, 2002, s. 235-245.
  24. Dorosz P., Kazienko P.: Systemy wykrywania intruzów. VI Krajowa Konferencja Zastosowań Kryptografii ENIGMA 2002, Warszawa 14-17 maja 2002 r., s. TIV 47-78. Online dostepna jest tylko prezentacja bez rysunków 
  25. Kazienko P.: Grupowanie dokumentów hipertekstowych na podstawie drzewa maksymalnych przepływów. Praca doktorska. Raport Zakładu Systemów Informacyjnych Politechniki Wrocławskiej PRE 31, 2000. Pojedynczy zbiór ZIP z plikami PS.
  26. Kazienko P.: Hierarchiczna metoda podziału kolekcji stron WWW na podstawie wartości maksymalnego przepływu. W: MiSSI 2000. Multimedialne i Sieciowe Systemy Informacyjne. Materiały konferencyjne pod red. Cz. Daniłowicza. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, 2000, s. 79-89.
  27. Kazienko P.: Zródła podobieństwa stron WWW. W: MiSSI 2000. Multimedialne i Sieciowe Systemy Informacyjne. Materiały konferencyjne pod red. Cz. Daniłowicza. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, 2000, s. 91-102.
  28. Kazienko P., Prusiewicz P.: Przegląd metod grupowania dokumentów hipertekstowych. Raport Zakładu Systemów Informacyjnych Politechniki Wrocławskiej SPR 28, 2000. 
  29. Kazienko P.: Podobieństwo dokumentów hipertekstowych w systemie WWW. Raport Zakładu Systemów Informacyjnych Politechniki Wrocławskiej SPR 20, 1999.
  30. Kazienko P.: Algorytm Gusfielda tworzenia drzewa maksymalnych przepływów. Raport Zakładu Systemów Informacyjnych Politechniki Wrocławskiej SPR 19, 1999.
  31. Kazienko P., Łuniewski K., Michalski P.: Systemy pracy grupowej i ich zastosowanie w firmie produkującej oprogramowanie. W: Krajowa Konferencja "Multimedia w biznesie". Materiały konferencyjne, Częstochowa, 24-26 marzec 1999, s. 71-80. Także raport Zakładu Systemów Informacyjnych Politechniki Wrocławskiej PRE 16, 1998. 
  32. Kazienko P.: Grupowanie stron WWW na podstawie odsyłaczy hipertekstowych. W: MiSSI 98. Multimedialne i Sieciowe Systemy Informacyjne. Materiały konferencyjne. Wrocław, Oficyna Wydawnicza Politechniki Wrocławskiej, 1998, s. 119-129.
  33. Katarzyniak R., Kazienko P., Sobecki J., Wybrane problemy wyszukiwania informacji w sieci Internet. W: IV Krajowe Forum Informacji Naukowej i Technicznej. Materiały konferencyjne. Polskie Towarzystwo Informacji Naukowej, Zakopane, 2-5 września 1997, [Warszawa, Pol. Tow. Inf. Nauk.], s. 286-295.
  34. Kazienko P.: Schematy publikowania w mikrokomputerowym systemie SMAC. W: Systemy biblioteczno-informacyjne w szkole wyższej. Materiały konferencyjne. Katowice, 5-6 maja 1994, str XI.
  35. Kazienko, P., Trawiński, B.: System zarządzania czasopismami dla bibliotek. W: Infogryf '94. Materiały konferencyjne. TNOiK Oddział w Szczecinie, Kołobrzeg, październik 1994, Tom 2, [Szczecin, TNOiK 1994], s. 382-387.
  36. Kazienko P.: Programowe mechanizmy ochrony danych. W: 13. Międzynarodowe Sympozjum Naukowe Studentów i Młodych Pracowników Nauki, Zielona Góra, 8-12 kwietnia 1991, Tom IV: Organizacja systemów produkcyjnych, s. 41-45.

Patenty

  1. Kazienko P., Kukla G.: Układ do automatycznego wyszukiwania wiedzy i generowania odpowiedzi. P392745, 2010. 
  2. Kazienko P., Kukla G.: Sposób do automatycznego wyszukiwania wiedzy i generowania odpowiedzi. P392744, 2010. 
  3. Kazienko P., Musiał K.: Sposób i układ do wyznaczania pozycji społecznej osoby w sieci społecznej. P380794, 2006. 
  4. Kazienko P., Pilarczyk M.: Sposób i urządzenie do klasyfikowania odsyłaczy hipertekstowych i prezentowania stron internetowych wraz z odsyłaczami. P380330, 2006. 

Inne

  1. Kazienko P.: Asocjacje: odkrywanie, analiza i zastosowania. Seminarium wygłoszone na Politechnice Sląskiej, 7 stycznia 2009.
  2. Kazienko P.: Eksploracja danych w internetowych systemach rekomendujących. Seminarium wygłoszone w Zakładzie Systemów Informacyjnych, Politechnika Wrocławska, 16 stycznia 2005.
  3. Kazienko P.: Podpis elektroniczny. Dolnośląski Festiwal Nauki, Politechnika Wrocławska, 16 wrzesień 2003

Listy w systemach zewnętrznych

 
 


Publons (public record from Web of Science Clarivate)

 

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