Publikacje

Dominik Ślęzak

Liczba publikacji: 187

2024

• Soma Dutta, Dominik Ślęzak , Nature of Decision Valuations in Elimination of Redundant Attributes, International Journal of Approximate Reasoning, 165 2024, s. 109091 : 1-22. Zobacz w PBN
• Wojciech Oronowicz-Jaśkowiak, Tomasz Kozłowski, Marta Polańska, Jerzy Wojciechowski, Piotr Wasilewski, Dominik Ślęzak , Mirosław Kowaluk, Using expert-reviewed CSAM to train CNNs and its anthropological analysis, Journal of Forensic and Legal Medicine, 101 2024, s. 102619: 1-9. Zobacz w PBN

2023

• Jingrui HE, Themis PALPANAS, Xiaohua HU, Alfredo CUZZOCREA, Dejing DOU, Dominik Ślęzak , Wei WANG, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh AGRAWAL, 2023 IEEE International Conference on Big Data, IEEE International Conference on Big Data [BigData], Sorrento, Italy 15-18 December 2023, Sorrento, Italy, 15 grudnia 2023 - 18 grudnia 2023. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Sebastian Stawicki, Krzysztof Stencel , A practical study of methods for deriving insightful attribute importance rankings using decision bireducts, INFORMATION SCIENCES, 645 2023, s. 119354, 1-19. Zobacz w PBN
• Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Ślęzak , Communication Papers of the 18th Conference on Computer Science and Intelligence Systems, 18th Conference on Computer Science and Intelligence Systems, Warsaw, Poland, 17 września 2023 - 20 września 2023, 37 2023. Zobacz w PBN
• Manolis Terrovitis, Dominik Ślęzak , Data Infrastructures and Management - Introduction to the Special Theme, ERCIM News, 133 2023, s. 4-5. Zobacz w PBN
• Andzelika Zalewska-Kupccu, Andrzej Janusz , Dominik Ślęzak , Diagnostic Explainability by BrightBox, ERCIM News, 2023 2023. Zobacz w PBN
• Mateusz Wnuk, Jan Dziuba, Andrzej Janusz , Dominik Ślęzak , IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays, IEEE International Conference on Big Data [BigData], Sorrento, Italy 15-18 December 2023, Sorrento, Italy, 15 grudnia 2023 - 18 grudnia 2023. Zobacz w PBN
• Daniel Kałuża , Andrzej Janusz , Dominik Ślęzak , On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning, International Joint Conference on Rough Sets 2023, Kraków, Poland, 5 października 2023 - 8 października 2023, 14481 2023, s. 479-494. Zobacz w PBN
• Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Ślęzak , Position Papers of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023, 18th Conference on Computer Science and Intelligence Systems, Warsaw, Poland, 16 września 2023 - 19 września 2023, 36 2023. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report, 2023 IEEE International Conference on Multimedia and Expo Workshops, Brisbane, Australia, 10 lipca 2023 - 14 lipca 2023. Zobacz w PBN
• Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Ślęzak , Proceedings of the 18th Conference on Computer Science and Intelligence Systems: FedCSIS 2023, Warsaw, Poland, September 17-20, 2023, 18th Conference on Computer Science and Intelligence Systems, Warszawa, Poland, 17 września 2023 - 20 września 2023. Zobacz w PBN
• Daniel Kałuża , Andrzej Janusz , Dominik Ślęzak , Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations, 26th European Conference on Artificial Intelligence ECAI 2023, Kraków, Poland, 30 września 2023 - 4 października 2023, 372 2023, s. 1207--1214. Zobacz w PBN
• Andrzej Skowron, Dominik Ślęzak , Rough Sets in Interactive Granular Computing: Toward Foundations for Intelligent Systems Interacting with Human Experts and Complex Phenomena, International Joint Conference on Rough Sets 2023, Kraków, Poland, 5 października 2023 - 8 października 2023. Zobacz w PBN
• Andrea Campagner, Oliver Urs Lenz, Shuyin Xia, Dominik Ślęzak , Jarosław Wąs, JingTao Yao, Rough Sets: International Joint Conference, IJCRS 2023, Krakow, Poland, October 5–8, 2023, Proceedings, International Joint Conference on Rough Sets 2023, Kraków, Poland, 5 października 2023 - 8 października 2023. Zobacz w PBN

2022

• Mateusz Przyborowski, Dominik Ślęzak , Approximation of the expectation-maximization algorithm for Gaussian mixture models on big data, IEEE BigData 2022, Osaka, Japan, 17 grudnia 2022 - 20 grudnia 2022. Zobacz w PBN
• Daniel Kaluza, Andrzej Janusz , Dominik Ślęzak , EVEAL - Expected Variance Estimation for Active Learning, IEEE BigData 2022, Osaka, Japan, 17 grudnia 2022 - 20 grudnia 2022. Zobacz w PBN
• JingTao Yao, Jesús Medina, Yan Zhang, Dominik Ślęzak , Formal concept analysis, rough sets, and three-way decisions, International Journal of Approximate Reasoning, 140 2022, s. 1-6. Zobacz w PBN
• Marcin Szczuka, Andrzej Janusz , Boguslaw Cyganek, Jakub Grabek, Lukasz Przebinda, Andzelika Zalewska, Andrzej Bukala, Dominik Ślęzak , IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images, IEEE BigData 2022, Osaka, Japan, 17 grudnia 2022 - 20 grudnia 2022. Zobacz w PBN
• Davide Ciucci, Inés Couso, Jesús Medina, Dominik Ślęzak , Davide Petturiti, Bernadette Bouchon-Meunier, Ronald R. Yager, Information Processing and Management of Uncertainty in Knowledge-Based Systems: 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part I, 2022. Zobacz w PBN
• Davide Ciucci, Inés Couso, Jesús Medina, Dominik Ślęzak , Davide Petturiti, Bernadette Bouchon-Meunier, Ronald R. Yager, Information Processing and Management of Uncertainty in Knowledge-Based Systems: 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part II, 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Milan, Italy, 11 lipca 2022 - 15 lipca 2022. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions, 17th Conference on Computer Science and Intelligence Systems, Sofia, Bulgaria, 4 września 2022 - 7 września 2022. Zobacz w PBN
• Andrzej Janusz , Daniel Kałuża, Maciej Matraszek, Łukasz Grad, Maciej Świechowski, Dominik Ślęzak , Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players, INFORMATION SCIENCES, 617 2022, s. 193-210. Zobacz w PBN
• Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Ślęzak , Position Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022. Zobacz w PBN
• Andrzej Skowron, Dominik Ślęzak , Rough Sets Turn 40: From Information Systems to Intelligent Systems, 17th Conference on Computer Science and Intelligence Systems, Sofia, Bulgaria, 4 września 2022 - 7 września 2022. Zobacz w PBN
• Maciej Bartoszuk, Jaroslaw Litwin, Mateusz Wnuk, Dominik Ślęzak , Tensor-based Approach to Big Data Processing and Machine Learning, IEEE BigData 2022, Osaka, Japan, 17 grudnia 2022 - 20 grudnia 2022. Zobacz w PBN

2021

• Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz , Petre Lameski, Cas Apanowicz, Dominik Ślęzak , Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning, Big Data Research, 25 2021, s. 1-13. Zobacz w PBN
• Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Ślęzak , Position and Communication Papers of the 16th Conference on Computer Science and Intelligence Systems, 2021. Zobacz w PBN
• Maciej Matraszek, Andrzej Janusz , Maciej Świechowski, Dominik Ślęzak , Predicting Victories in Video Games - IEEE BigData 2021 Cup Report, 2021. Zobacz w PBN
• Dominik Ślęzak , Tzung-Pei Hong, Leon S.L. Wang, Preface: Information Granulation in Data Science and Scalable Computing, Fundamenta Informaticae, 182 (2) 2021, s. i-ii. Zobacz w PBN
• Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Ślęzak , Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 16th Conference on Computer Science and Intelligence Systems, Sofia, Bulgaria, 2 września 2021 - 5 września 2021. Zobacz w PBN

2020

• Andrzej Janusz , Dominik Ślęzak , Analytics over Multi-sensor Time Series Data -- A Case-Study on Prediction of Mining Hazards, ICITG 2019: Information Technology in Geo-Engineering, Guimarães, Portugal, 29 września 2019 - 2 października 2019. Zobacz w PBN
• Dominik Ślęzak , Agnieszka Chądzyńska-Krasowska, Approximate Decision Tree Induction over Approximately Engineered Data Features, International Joint Conference on Rough Sets, Debrecen, Hungary, 17 czerwca 2019 - 21 czerwca 2019. Zobacz w PBN
• Eftim Zdravevski, Petre Lameski, Cas Apanowicz, Dominik Ślęzak , From Big Data to business analytics: The case study of churn prediction, Applied Soft Computing Journal, 90 2020, s. 106164, 1-15. Zobacz w PBN
• Marcin Michalak, Roman Jaksik, Dominik Ślęzak , Heuristic search of exact biclusters in binary data, International Journal of Applied Mathematics and Computer Science, 30 (1) 2020, s. 161-171. Zobacz w PBN
• Maciej Świechowski, Dominik Ślęzak , Introducing LogDL - Log Description Language for Insights from Complex Data, 15th CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, Sofia, Bulgaria, 6 września 2020 - 9 września 2020, 21 2020, s. 145--154. Zobacz w PBN
• Andrzej Janusz , Mateusz Przyborowski, Piotr Biczyk, Dominik Ślęzak , Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit, 15th CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, Sofia, Bulgaria, 6 września 2020 - 9 września 2020, 21 2020, s. 77-80. Zobacz w PBN
• Joanna Henzel, Andrzej Janusz , Marek Sikora, Dominik Ślęzak , On Positive-Correlation-Promoting Reducts, International Joint Conference on Rough Sets IJCRS 2020, Havana, Cuba, 29 czerwca 2020 - 3 lipca 2020, 12179 2020, s. 213--221. Zobacz w PBN
• Andrzej Janusz , Guohua Hao, Daniel Kaluza, Tony Li, Robert Wojciechowski, Dominik Ślęzak , Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results, 2020 IEEE International Conference on Big Data, Atlanta, the United States of America, 10 grudnia 2020 - 13 grudnia 2020. Zobacz w PBN
• Mateusz Wnuk, Sebastian Stawicki, Dominik Ślęzak , Reinventing Infobright's Concept of Rough Calculations on Granulated Tables for the Purpose of Accelerating Modern Data Processing Frameworks, 2020 IEEE International Conference on Big Data, Atlanta, the United States of America, 10 grudnia 2020 - 13 grudnia 2020. Zobacz w PBN
• Dominik Ślęzak , Dobroslav Kovac, Mauro Iacono, Jacek Czerniak, Research on Heuristic Optimization and Operations in IoT, JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 26 2020, s. 1364--1365. Zobacz w PBN
• M. José Benítez-Caballero, Jesús Medina, Eloísa Ramírez-Poussa, Dominik Ślęzak , Rough-set-driven approach for attribute reduction in fuzzy formal concept analysis, Fuzzy Sets and Systems, 391 2020, s. 117-138. Zobacz w PBN

2019

• M. José Benítez-Caballero, Jesús Medina, Eloísa Ramírez-Poussa, Dominik Ślęzak , A computational procedure for variable selection preserving different initial conditions, INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 97 (1-2) 2019, s. 387-404. Zobacz w PBN
• Andrzej Janusz , Daniel Kałuża , Agnieszka Chadzynska-Krasowska, Bartek Konarski, Joel Holland, Dominik Ślęzak , IEEE BigData 2019 Cup: Suspicious Network Event Recognition, 2019 IEEE International Conference on Big Data, Los Angeles, the United States of America, 9 grudnia 2019 - 12 grudnia 2019. Zobacz w PBN
• Joanna Fedorowicz, Łukasz Sosnowski, Dominik Ślęzak , Iwona Szymusik, Wojciech Chaber, Łukasz Miłobędzki, Tomasz Penza, Jadwiga Sosnowska, Katarzyna Wójcicka, Karol Zaleski, Multivariate Ovulation Window Detection at OvuFriend, International Joint Conference on Rough Sets, Debrecen, Hungary, 17 czerwca 2019 - 21 czerwca 2019. Zobacz w PBN
• Marcin Michalak, Dominik Ślęzak , On boolean representation of continuous data biclustering, Fundamenta Informaticae, 167 (3) 2019, s. 193-217. Zobacz w PBN
• Marek Grzegorowski, Dominik Ślęzak , On resilient feature selection: Computational foundations of r-C-reducts, INFORMATION SCIENCES, 499 2019, s. 25-44. Zobacz w PBN

2018

• Dominik Ślęzak , Marek Grzegorowski, Andrzej Janusz , Michał Kozielski, Thi Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki, Łukasz Wróbel, A framework for learning and embedding multi-sensor forecasting models into a decision support system: a case study of methane concentration in coal mines, INFORMATION SCIENCES, 451/452 2018, s. 112-133. Zobacz w PBN
• Dominik Ślęzak , Rick Glick, Paweł Betliński, Piotr Synak, A new approximate query engine based on intelligent capture and fast transformations of granulated data summaries, Journal of Intelligent Information Systems, 50 (2) 2018, s. 385–414. Zobacz w PBN
• M. José Benítez-Caballero, Jesús Medina, Eloísa Ramírez-Poussa, Dominik Ślęzak , Bireducts with tolerance relations, INFORMATION SCIENCES, 435 2018, s. 26-39. Zobacz w PBN
• Marcin Michalak, Dominik Ślęzak , Boolean representation for exact biclustering, Fundamenta Informaticae, 161 (3) 2018, s. 275-297. Zobacz w PBN
• Soma Dutta, Dominik Ślęzak , Dynamic and Discernibility Characteristics of Different Attribute Reduction Criteria, Rough Sets - International Joint Conference (IJCRS 2018), Quy Nhon, Viet Nam, 20 sierpnia 2018 - 24 sierpnia 2018. Zobacz w PBN
• Dominik Ślęzak , Maciej Świechowski, Grail: A Framework for Adaptive and Believable AI in Video Games, 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018, s. 762-765. Zobacz w PBN
• Dominik Ślęzak , Maciej Świechowski, Granular Games in Real-Time Environment, Proceedings of IEEE International Conference on Data Mining Workshops 2018, 2018, s. 462-469. Zobacz w PBN
• Krzysztof Ciebiera, Michal Drewniak, Andrzej Janusz , Sebastian Stawicki, Krzysztof Stencel , Dominik Ślęzak , How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics, 17th International Conference, IPMU 2018, Cádiz, Spain, 11 czerwca 2018 - 15 czerwca 2018, 854 2018, s. 503-514. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches, 2018 IEEE International Conference on Systems, Man, and Cybernetics , Miyazaki, Japan, 7 października 2018 - 10 października 2018. Zobacz w PBN
• Janusz Borkowski, Agnieszka Chądzyńska-Krasowska, Dominik Ślęzak , Ranking Mutual Information Dependencies in a Summary-based Approximate Analytics Framework, 2018 International Conference on High Performance Computing & Simulation (HPCS), Orlean, France, 16 lipca 2018 - 20 lipca 2018. Zobacz w PBN
• Andrzej Janusz , Sebastian Stawicki, Krzysztof Stencel , Dominik Ślęzak , SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players, 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018. Zobacz w PBN
• Wojciech Chaber, Joanna Fedorowicz, Łukasz Miłobędzki, Tomasz Penza, Jadwiga Sosnowska, Łukasz Sosnowski, Iwona Szymusik, Karol Zaleski, Dominik Ślęzak , Similarity-based Detection of Fertile Days at OvuFriend, 2018 IEEE International Conference on Big Data, Seattle, the United States of America, 10 grudnia 2018 - 13 grudnia 2018. Zobacz w PBN
• Lukasz Grad, Andrzej Janusz , Jacek Puczniewski, Tomasz Tajmajer, Dominik Ślęzak , Maciej Świechowski, Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition, FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS 2018, Poznań, Poland, 9 września 2018 - 12 września 2018, 15 2018, s. 189-192. Zobacz w PBN
• Dominik Ślęzak , Toward Approximate Intelligence: Approximate Query Engines & Approximate Data Exploration, The Web Conference - 27th International World Wide Web Conference, Lyon, France, 23 kwietnia 2018 - 27 kwietnia 2018. Zobacz w PBN
• Piotr Biczyk, Łukasz Grad, Andrzej Janusz , Mateusz Przyborowski, Tomasz Tajmajer, Dominik Ślęzak , Toward Machine Learning on Granulated Data – a Case of Compact Autoencoder-based Representations of Satellite Images, 2018 IEEE International Conference on Big Data, Seattle, the United States of America, 10 grudnia 2018 - 13 grudnia 2018. Zobacz w PBN
• Łukasz Grad, Andrzej Janusz , Dominik Ślęzak , Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games, 2018 IEEE International Conference on Data Mining Workshops, 2018, s. 422-429. Zobacz w PBN

2017

• Agnieszka Chądzyńska-Krasowska, Sebastian Stawicki, Dominik Ślęzak , A Metadata Diagnostic Framework for a New Approximate Query Engine Working with Granulated Data Summaries, International Joint Conference on Rough Sets, Olsztyn, Poland, 3 lipca 2017 - 7 lipca 2017. Zobacz w PBN
• Sebastian Stawicki, Dominik Ślęzak , Andrzej Janusz , Sebastian Widz, Decision bireducts and decision reducts - a comparison, International Journal of Approximate Reasoning, 84 2017, s. 75-109. Zobacz w PBN
• Annalisa Appice, Marzena KRYSZKIEWICZ, Zbigniew Raś, Henryk RYBIŃSKI, Andrzej Skowron, Dominik Ślęzak , Foundations of Intelligent Systems. 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings, 2017. Zobacz w PBN
• Mathurin Aché, Andrzej Janusz , Kamil Żbikowski, Dominik Ślęzak , Marzena KRYSZKIEWICZ, Henryk RYBIŃSKI, Piotr Gawrysiak, ISMIS 2017 data mining competition: Trading based on recommendations, International Symposium on Methodologies for Intelligent Systems - Foundations of Intelligent Systems, Warszawa, Poland, 26 czerwca 2017 - 29 czerwca 2017. Zobacz w PBN
• Adam Gudyś, Andrzej Janusz , Marek Sikora, Tomasz Stęclik, Łukasz Wróbel, Dominik Ślęzak , Moduł analityczny, 2017. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Marcin Szczuka, Dominik Ślęzak , On the role of feature space granulation in feature selection processes, 2017 IEEE International Conference on Big Data (Big Data), Boston, the United States of America, 11 grudnia 2017 - 14 grudnia 2017. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Marcin Michalak, Marek Sikora, Łukasz Wróbel, Dominik Ślęzak , Predicting seismic events in coal mines based on underground sensor measurements, Engineering Applications of Artificial Intelligence, 64 2017, s. 83-94. Zobacz w PBN
• Marzena KRYSZKIEWICZ, Annalisa Appice, Zbigniew Raś, Henryk RYBIŃSKI, Dominik Ślęzak , Andrzej Skowron, Preface, International Symposium on Methodologies for Intelligent Systems - Foundations of Intelligent Systems, Warszawa, Poland, 25 czerwca 2017 - 28 czerwca 2017. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Michał Kozielski, Zdzisław Krzystanek, Marek Sikora, Łukasz Wróbel, Dominik Ślęzak , Przykłady zastosowania systemu DISESOR w analizie i predykcji zagrożeń, 2017. Zobacz w PBN
• Lech Polkowski, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Ślęzak , Beata Zielosko, Rough Sets. International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017. Proceedings. Part II, International Joint Conference on Rough Sets, Olsztyn, Poland, 3 lipca 2017 - 7 lipca 2017. Zobacz w PBN
• Agnieszka Chądzyńska-Krasowska, Rick Glick, Joel Holland, Marcin Perkowski, Piotr Synak, Dominik Ślęzak , Scalable cyber-security analytics with a new summary-based approximate query engine, 2017 IEEE International Conference on Big Data (Big Data), Boston, the United States of America, 10 grudnia 2017 - 13 grudnia 2017. Zobacz w PBN
• Agnieszka Chądzyńska-Krasowska, Paweł Betliński, Dominik Ślęzak , Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection, 23rd International Symposium, ISMIS 2017, zAKOPANE, Poland, 26 czerwca 2017 - 29 czerwca 2017. Zobacz w PBN
• Łukasz Apiecionek, Jacek Czerniak, Dariusz Mikołajewski, Piotr Prokopowicz, Dominik Ślęzak , Theory and Applications of Ordered Fuzzy Numbers: A Tribute to Professor Witold Kosiński, 2017. Zobacz w PBN
• Lech Polkowski, Andrzej Skowron, Guoyin Wang, Yiyu Yao, Dominik Ślęzak , Thriving Rough Sets: 10th Anniversary - Honoring Professor Zdzisław Pawlak's Life and Legacy & 35 Years of Rough Sets, 2017. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Sebastian Stawicki, Dominik Ślęzak , Toward Interactive Attribute Selection with Infolattices - A Position Paper, International Joint Conference on Rough Sets, Olsztyn, Poland, 3 lipca 2017 - 7 lipca 2017. Zobacz w PBN

2016

• Wojciech Moczulski, Piotr Przystałka, Marek Sikora, Anna Timofiejczuk, Dominik Ślęzak , A new decision support tool for fault diagnosis, hazard prediction and analysis in mining industry, 24th World Mining Congress 2016, Rio de Janeiro, Brazil, Rio de Janeiro, Brazil, 18 października 2016 - 21 października 2016. Zobacz w PBN
• Andrzej Jankowski, Andrzej Skowron, Marcin Szczuka, Dominik Ślęzak , Granular Systems, 2016. Zobacz w PBN
• Andrzej Janusz , Marek Sikora, Łukasz Wróbel, Dominik Ślęzak , Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge, Federated Conference on Computer Science and Information Systems, 2016. Zobacz w PBN
• Davide Ciucci, Marcin Wolski, Dominik Ślęzak , Preface, Fundamenta Informaticae, 2016. Zobacz w PBN
• Victor Flores, Fernando Gomide, Andrzej Janusz , Claudio Meneses, Duoqian Miao, Georg Peters, Guoyin Wang, Richard Weber, Yiyu Yao, Dominik Ślęzak , Rough Sets. International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7–11, 2016, Proceedings, 2016. Zobacz w PBN

2015

• Andrzej Jankowski, Andrzej Skowron, Marcin Szczuka, Dominik Ślęzak , Building Granular Systems - from Concepts to Applications, RSFDGrC 2015 - 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Tianjin, China, 20 listopada 2015 - 23 grudnia 2015. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold, 22nd International Symposium on Methodologies for Intelligent Systems, Lyon, France, 21 października 2015 - 23 października 2015. Zobacz w PBN
• Fan Min, Bing Shi, Heng-Ru Zhang, Dominik Ślęzak , Cost-sensitive regression-based recommender system, 2015 International Conference on Machine Learning and Cybernetics, 2015. Zobacz w PBN
• Mo Jose Benitez, Jesus Medina, Dominik Ślęzak , Delta-information reducts and bireducts, 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, 2015. Zobacz w PBN
• Wojciech Moczulski, Piotr Przystałka, Marek Sikora, Anna Timofiejczuk, Dominik Ślęzak , DISESOR: zintegrowany, szkieletowy system wspomagania decyzji dla systemów monitorowania procesów, urządzeń i zagrożeń., Mechanizacja, Automatyzacja i Robotyzacja w Górnictwie 2015, 2015. Zobacz w PBN
• Łukasz Sosnowski, Dominik Ślęzak , Fuzzy Set Interpretation of Comparator Networks, Pattern Recognition and Machine Intelligence - 6th International Conference, 2015. Zobacz w PBN
• Łukasz Sosnowski, Marcin Szczuka, Dominik Ślęzak , Granular Modeling with Fuzzy Comparators, 2015 IEEE International Conference on Big Data, Santa Clara, CA, the United States of America, 29 października 2015 - 1 listopada 2015. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Sebastian Stawicki, Mariusz Rosiak, Knowledge Pit - A Data Challenge Platform, Proceedings of the 24th International Workshop on Concurrency, Specification and Programming, Rzeszów, Poland, 28 września 2015 - 30 września 2015. Zobacz w PBN
• Marek Grzegorowski, Andrzej Janusz , Marek Sikora, Sebastian Stawicki, Piotr Wojtas, Łukasz Wróbel, Dominik Ślęzak , Mining Data from Coal Mines: IJCRS'15 Data Challenge, RSFDGrC 2015 - 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Tianjin, China, 20 listopada 2015 - 23 listopada 2015. Zobacz w PBN
• Dominik Ślęzak , On Generalized Decision Functions: Reducts, Networks and Ensembles, RSFDGrC 2015 - 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Tianjin, China, 20 listopada 2015 - 23 grudnia 2015. Zobacz w PBN
• Hung Son Nguyen , James Peters, Andrzej Skowron, Dominik Ślęzak , Preface, 2015. Zobacz w PBN
• William Kwok-Wai Cheung, Benjamin C. M. Fung, Dominik Ślęzak , Preface, Fundamenta Informaticae, 2015. Zobacz w PBN
• Andrzej Skowron, Dominik Ślęzak , Preface: special issue on Information Granulation in Natural Computing, Natural Computing, 2015. Zobacz w PBN
• Andrzej Janusz , Sebastian Stawicki, Marcin Szczuka, Dominik Ślęzak , Rough Set Tools for Practical Data Exploration, 10th International Conference on Rough Sets and Knowledge Technology, Tianjin, China, 20 listopada 2015 - 23 grudnia 2015. Zobacz w PBN
• Bartosz Celmer, Andrzej Janusz , Adam Krasuski, Michał Meina, Krzysztof Rykaczewski, Dominik Ślęzak , Tagging Firefighter Activities at the Emergency Scene: Summary of AAIA'15 Data Mining Competition at Knowledge Pit, 2015 Federated Conference on Computer Science and Information Systems, Łódź, Poland, 2015. Zobacz w PBN
• Dominik Ślęzak , James Peters, Andrzej Skowron, Hung Son Nguyen , Jan Bazan, Transactions on Rough Sets XIX, 2015. Zobacz w PBN

2014

• Barbara Dunin-Kęplicz , Mike Lewis, Takao Terano, Dominik Ślęzak , 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Vol. 3, 2014. Zobacz w PBN
• Sebastian Widz, Dominik Ślęzak , Attribute Subset Quality Functions over a Universe of Weighted Objects, Lecture Notes in Computer Science, Rough Sets and Intelligent Systems Paradigms - Second International Conference, Spain, 9 lipca 2014 - 13 lipca 2014. Zobacz w PBN
• Piotr Synak, Dominik Ślęzak , Complexity aspects of multi-machine aggregations in a rough-granular computation framework, 2014 IEEE International Conference on Granular Computing, Noboribetsu, Japan, 22 października 2014 - 24 października 2014. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , José Manuel Benítez, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Lala Septem Riza, Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”, INFORMATION SCIENCES, 287 2014, s. 68-89. Zobacz w PBN
• Andrzej Janusz , Adam Krasuski, Hung Son Nguyen , Mariusz Rosiak, Sebastian Stawicki, Dominik Ślęzak , Key Risk Factors for Polish State Fire Service: a Data Mining Competition at Knowledge Pit, Federated Conference on Computer Science and Information Systems, Warszawa, Poland, 7 września 2014 - 10 września 2014. Zobacz w PBN
• Barbara Dunin-Kęplicz , Mike Lewis, Takao Terano, Dominik Ślęzak , Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014, 2014. Zobacz w PBN
• Alfredo Cuzzocrea, Jerzy Stefanowski, Dominik Ślęzak , Processing and mining complex data streams, INFORMATION SCIENCES, 2014. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Random Probes in Computation and Assessment of Approximate Reducts, Rough Sets and Intelligent Systems Paradigms, 2014. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Rough Set Methods for Attribute Clustering and Selection, Applied Artificial Intelligence, 2014. Zobacz w PBN
• Dominik Ślęzak , Special section on applications of intelligent data and knowledge processing technologies—Preface, Future Generation Computer Systems, 2014. Zobacz w PBN
• Hung Son Nguyen , Marek Reformat, Eugene Santos Jr, Dominik Ślęzak , The 2014 IEEE/WIC/ACM International Conference on Web Intelligence, Part I, 2014. Zobacz w PBN

2013

• Marcin Kowalski, Piotr Synak, Dominik Ślęzak , Approximate Assistance for Correlated Subqueries, Federated Conference on Computer Science and Information Systems, Kraków, Poland, 8 września 2013 - 11 września 2013. Zobacz w PBN
• Sergei Kuznetsov, Dominik Ślęzak , Data mining and soft computing, International Journal of General Systems, 2013. Zobacz w PBN
• Marcin Kowalski, Piotr Synak, Dominik Ślęzak , Enhanced Rough SQL for Correlated Subqueries, 2013 Federated Conference on Computer Science and Information Systems, 2013. Zobacz w PBN
• Andrzej Jankowski, Adam Krasuski, Andrzej Skowron, Dominik Ślęzak , From Sensory Data to Decision Making: A Perspective on Supporting a Fire Commander, 2013 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2013. Zobacz w PBN
• M.K. Chakraborty, Tsau Young Lin, Guilong Liu, Dominik Ślęzak , From Topology to Anti-reflexive Topology, 2013 IEEE International Conference on Fuzzy Systems, 2013. Zobacz w PBN
• Sebastian Widz, Dominik Ślęzak , Granular Attribute Selection: A Case Study of Rough Set Approach to MRI Segmentation, 5th International Conference on Pattern Recognition and Machine Intelligence, 2013. Zobacz w PBN
• Marcin Szczuka, Dominik Ślęzak , How Deep Data Becomes Big Data, Joint IFSA World Congress and NAFIPS Annual Meeting 2013, Edmonton, Canada, 24 czerwca 2013 - 28 czerwca 2013. Zobacz w PBN
• Łukasz Sosnowski, Dominik Ślęzak , How to Design a Network of Comparators, 2013 International Conference on Brain and Health Informatics, 2013. Zobacz w PBN
• Marcin Kowalski, Dominik Ślęzak , Intelligent Granulation of Machine-generated Data, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, 2013. Zobacz w PBN
• Hung Son Nguyen , Marcin Szczuka, Dominik Ślęzak , Logic, Data and Wisdom. To Andrzej Skowron on his 70th birthday., 2013. Zobacz w PBN
• Łukasz Sosnowski, Dominik Ślęzak , Networks of Compound Object Comparators, 2013 IEEE International Conference on Fuzzy Systems, Hyderabad, India, 7 lipca 2013 - 10 lipca 2013. Zobacz w PBN
• Dominik Ślęzak , Marcin Szczuka, Hung Son Nguyen , Preface, Fundamenta Informaticae, 2013. Zobacz w PBN
• Sebastian Stawicki, Dominik Ślęzak , Recent Advances in Decision Bireducts: Complexity, Heuristics and Streams, 8th International Conference on Rough Sets and Knowledge Technology, 2013. Zobacz w PBN
• Piotr Synak, A. Wojna, Jakub Wróblewski, Dominik Ślęzak , Two Database Related Interpretations of Rough Approximations: Data Organization and Query Execution, Fundamenta Informaticae, 2013. Zobacz w PBN

2012

• Paweł Betliński, Dominik Ślęzak , A Role of (Not) Crisp Discernibility in Rough Set Approach to Numeric Feature Selection, Communications in Computer and Information Science, First International Conference on Advanced Machine Learning Technologies and Applications, 2012. Zobacz w PBN
• Janusz Borkowski, Piotr Synak, Graham Toppin, Jakub Wróblewski, Dominik Ślęzak , A Rough-Columnar RDBMS Engine - A Case Study of Correlated Subqueries, IEEE Transactions on Knowledge and Data Engineering, 2012. Zobacz w PBN
• Yiyu Yao, Dominik Ślęzak , An Introduction to Rough Sets, 2012. Zobacz w PBN
• Adam Krasuski, Karol Kreński, Stanisław Łazowy, Dominik Ślęzak , Granular Knowledge Discovery Framework, 16th East-European Conference on Advances in Databases and Information Systems, 2012. Zobacz w PBN
• Andrzej Janusz , Adam Krasuski, Hung Son Nguyen , Sebastian Stawicki, Dominik Ślęzak , JRS’2012 Data Mining Competition: Topical Classification of Biomedical Research Papers, 8th International Conference on Rough Sets and Current Trends in Computing, 2012. Zobacz w PBN
• Hung Son Nguyen , Krzysztof Stencel , Dominik Ślęzak , (No)SQL platform for scalable semantic processing of fast growing document repositories, ERCIM News, 2012. Zobacz w PBN
• Shusaku Tsumoto, Dominik Ślęzak , Guoyin Wang, Mihir Kr. Chakraborty, Alicja Wakulicz-Deja, Wojciech Ziarko, James F. Peters, Grzegorz Rozenberg, Jerzy Grzymała-Busse, Sankar K. Pal, Andrzej Skowron, Victor Marek, Roman Słowiński, Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence, 2012. Zobacz w PBN
• Marek Grzegorowski, Marcin Kowalski, Przemysław Pardel, Krzysztof Stencel , Dominik Ślęzak , RDBMS model for scientific articles analytics, Computational Intelligence, 2012. Zobacz w PBN
• Sebastian Widz, Dominik Ślęzak , Rough set based decision support - Models easy to interpret, 2012. Zobacz w PBN
• Pawan Lingras, Georg Peters, Yiyu Yao, Dominik Ślęzak , Rough sets: Selected methods and applications in management and engineering, 2012. Zobacz w PBN
• Michinori Nakata, Hiroshi Sakai, Dominik Ślęzak , Rough sets-based machine learning over non-deterministic data: A brief survey, Computer Science and Information Systems, 2012. Zobacz w PBN
• Hung Son Nguyen , Andrzej Skowron, Dominik Ślęzak , Semantic search and analytics over large repository of scientific articles, Computer Science, 2012. Zobacz w PBN
• Paweł Betliński, Dominik Ślęzak , The problem of finding the sparsest Bayesian network for an input data set is NP-hard, 20th International Symposium on Methodologies for Intelligent Systems, 2012. Zobacz w PBN
• Andrzej Janusz , Hung Son Nguyen , Dominik Ślęzak , Unsupervised Similarity Learning from Textual Data, Fundamenta Informaticae, 2012. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data, Federated Conference on Computer Science and Information Systems, 2012. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Utilization of attribute Clustering methods for scalable computation of reducts from high-dimensional data, Computer Science and Information Systems, 2012. Zobacz w PBN

2011

• Kohei Hayashi, Michinori Nakata, Hiroshi Sakai, Dominik Ślęzak , A mathematical extension of rough set based issues toward uncertain information analysis, New Mathematics and Natural Computation, 2011. Zobacz w PBN
• Michinori Nakata, Hiroshi Sakai, Dominik Ślęzak , A NIS-apriori based rule generator in prolog and its functionality for table data, Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Michinori Nakata, Hiroshi Sakai, Dominik Ślęzak , A prototype system for rule generation in Lipski's incomplete information databases, Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Daryl H. Hepting, Richard Spring, Dominik Ślęzak , A rough set exploration of facial similarity judgements, Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Dominik Ślęzak , Andrzej Janusz , An unsupervised model for rule-based similarity learning from textual data, 2011. Zobacz w PBN
• Łukasz Sosnowski, Dominik Ślęzak , Comparators for compound object identification, Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Andrzej Janusz , Dominik Ślęzak , Ensembles of bireducts: towards robust classification and simple representation, Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Marcin Szczuka, Dominik Ślęzak , Feedforward neural networks for compound signals, Theoretical Computer Science, 2011. Zobacz w PBN
• Marcin Kowalski, Graham Toppin, Arkadiusz Wojna, Dominik Ślęzak , Injecting Domain Knowledge into RDBMS - Compression of Alphanumeric Data Attributes, Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Hung Son Nguyen , Wei-Zhi Wu, Dominik Ślęzak , Preface, 2011. Zobacz w PBN
• Sebastian Widz, Dominik Ślęzak , Rough-set-inspired feature subset selection, classifier construction, and rule aggregation, Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Jan G. Bazan, Andrzej Janusz , Hung Son Nguyen , Dominik Ślęzak , Wojciech Świeboda, Semantic analytics of PubMed content, Lecture Notes in Computer Science, 2011. Zobacz w PBN
• Michinori Nakata, Hitomi Okuma, Hiroshi Sakai, Dominik Ślęzak , Stable rule extraction and decision making in rough non-deterministic information analysis, 2011. Zobacz w PBN

2010

• Chris Cornelis, Richard Jensen, Germán Hurtado Martín, Dominik Ślęzak , Attribute selection with fuzzy decision reducts, INFORMATION SCIENCES, 2010. Zobacz w PBN
• Piotr Synak, Graham Toppin, Jakub Wróblewski, Dominik Ślęzak , Infobright analytic database engine using rough sets and granular computing, IEEE Computational Intelligence Magazine, 2010 IEEE International Conference on Granular Computing, San Jose, the United States of America, 14 sierpnia 2010 - 16 sierpnia 2010. Zobacz w PBN
• Graham Toppin, Dominik Ślęzak , Injecting domain knowledge into a granular database engine: a position paper, 2010. Zobacz w PBN
• Aijun An, Dominik Ślęzak , Introduction to the special issue on advanced information retrieval and databases, Journal of Intelligent Information Systems, 2010. Zobacz w PBN
• Sebastian Widz, Dominik Ślęzak , Rough-Set-based classifier extraction and voting criteria are Applied together?, Lecture Notes in Computer Science, 2010. Zobacz w PBN

2009

• Katherine Arbuthnott, Daryl H. Hepting, Timothy Maciag, Richard Spring, Dominik Ślęzak , A rough sets approach for personalized support of face recognition, Lecture Notes in Computer Science, 2009. Zobacz w PBN
• Chris Cornelis, German Hurtado, Richard Jensen, Dominik Ślęzak , Attribute selection with fuzzy decision reducts, INFORMATION SCIENCES, 2009. Zobacz w PBN
• Dominik Ślęzak , Degrees of conditional (in)dependence: A framework for approximate Bayesian networks and examples related to the rough set-based feature selection, 2009. Zobacz w PBN
• Marcin Kowalski, Dominik Ślęzak , Intelligent data granulation on load: Improving infobright's knowledge grid, Lecture Notes in Computer Science, 2009. Zobacz w PBN
• Kohei Hayashi, Michinori Nakata, Hiroshi Sakai, Dominik Ślęzak , The lower system, the upper system and rules with stability factor in non-deterministic information systems, Lecture Notes in Computer Science, 2009. Zobacz w PBN

2007

• Piotr Wasilewski , Dominik Ślęzak , Granular sets. Foundations and case study of tolerance spaces, Lecture Notes in Computer Science, 2007. Zobacz w PBN
• Marcin Szczuka, Dominik Ślęzak , Rough Neural Networks for Complex Concepts, Lecture Notes in Computer Science, 2007. Zobacz w PBN

2006

• Dominik Ślęzak , Association Reducts: Complexity and Heuristics, 5th International Conference on Rough Sets and Current Trends in Computing, Kobe, Japan, 6 listopada 2006 - 8 listopada 2006. Zobacz w PBN

2004

• Marcin Szczuka, Jakub Wróblewski, Dominik Ślęzak , Harnessing classifier networks - towards hierarchical concept construction, Lecture Notes in Computer Science, 2004. Zobacz w PBN

2003

• Marcin Szczuka, Jakub Wróblewski, Dominik Ślęzak , Constructing extensions of bayesian classifiers with use of normalizing neural networks, Lecture Notes in Computer Science, 2003. Zobacz w PBN
• Witold Kosiński, Piotr Prokopowicz, Dominik Ślęzak , Counting with fuzzy numbers, Modelowanie Inżynierskie, 2003. Zobacz w PBN
• Marcin Szczuka, Jakub Wróblewski, Dominik Ślęzak , Neural network architecture for synthesis of the probabilistic rule based classfiers, Electronic Notes in Theoretical Computer Science, 2003. Zobacz w PBN
• Jakub Wróblewski, Dominik Ślęzak , Order Based Genetic Algorithms for the Search of Approximate Entropy Reducts, 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Chongqing, China, 26 maja 2003 - 29 maja 2003. Zobacz w PBN
• Dominik Ślęzak , W. Kosiński, Piotr Prokopowicz, Ordered Fuzzy Numbers, Bulletin of the Polish Academy of Sciences. Mathematics, 2003. Zobacz w PBN
• Wojciech Ziarko, Dominik Ślęzak , Variable Precision Bayesian Rough Set Model, 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Chongqing, China, 26 maja 2003 - 29 maja 2003. Zobacz w PBN

2002

• Dominik Ślęzak , Approximate Entropy Reducts, Fundamenta Informaticae, 2002. Zobacz w PBN
• A Osmólski, Andrzej Skowron, Marcin Szczuka, Jakub Wróblewski, Dominik Ślęzak , Rough set approach to the survival analysis, Lecture Notes in Computer Science, 2002. Zobacz w PBN

2000

• Dominik Ślęzak , Normalized Decision Functions and Measures for Inconsistent Decision Tables Analysis, Fundamenta Informaticae, 2000. Zobacz w PBN

Inne

• Dominik Ślęzak , Agnieszka Chądzyńska-Krasowska, Approximate Decision Tree Induction over Approximately Engineered Data Features, Rough Sets: International Joint Conference, IJCRS 2020, Havana, Cuba, June 29 – July 3, 2020, Proceedings, , s. 376-384. Zobacz w PBN
• Piotr Wasilewski , Dominik Ślęzak , Foundations of Rough Sets from Vagueness Perspective. Zobacz w PBN
• Łukasz Sosnowski, Dominik Ślęzak , Learning in Comparator Networks, Advances in Fuzzy Logic and Technology 2017. Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11–15, 2017, Warsaw, Poland IWIFSGN’2017 –The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, September 13–15, 2017, Warsaw, Poland, Volume 3, , s. 316-327. Zobacz w PBN
• A. Janusz, T. Stęclik, Marek Sikora, Ł. Wróbel, Adam Gudyś, Dominik Ślęzak , Moduł analityczny, Zintegrowany, szkieletowy system wspomagania decyzji dla systemów monitorowania procesów, urządzeń i zagrożeń, , s. 55-75. Zobacz w PBN
• Piotr Prokopowicz, Dominik Ślęzak , Ordered Fuzzy Numbers: Definitions and Operations, Theory and applications of ordered fuzzy numbers : A tribute to Professor Witold Kosiński, , s. 57-79. Zobacz w PBN
• Piotr Prokopowicz, Dominik Ślęzak , Ordered Fuzzy Numbers: Sources and Intuitions, Theory and applications of ordered fuzzy numbers : A tribute to Professor Witold Kosiński. Zobacz w PBN
• Guoyin Wang, Lech Polkowski, Andrzej Skowron, Yiyu Yao, Dominik Ślęzak , Preface, Thriving Rough Sets : 10th Anniversary - Honoring Professor Zdzisław Pawlak's Life and Legacy & 35 Years of Rough Sets, , s. v-viii. Zobacz w PBN
• A. Janusz, Marek Sikora, Ł. Wróbel, M. Grzegorowski, Michał Kozielski, Z. Krzystanek, Dominik Ślęzak , Przykłady zastosowania systemu DISESOR w analizie i predykcji zagrożeń, Zintegrowany, szkieletowy system wspomagania decyzji dla systemów monitorowania procesów, urządzeń i zagrożeń, , s. 199-213. Zobacz w PBN
• Daniel Kałuża , Andrzej Janusz , Dominik Ślęzak , Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations, 21st European Conference on Artificial Intelligence. Zobacz w PBN
• Dominik Ślęzak , Sebastian Stawicki, The Problem of Finding the Simplest Classifier Ensemble is NP-Hard – A Rough-Set-Inspired Formulation Based on Decision Bireducts, Rough Sets: International Joint Conference, IJCRS 2020, Havana, Cuba, June 29 – July 3, 2020, Proceedings, , s. 204-212. Zobacz w PBN
• Marek Sikora, Wojciech Moczulski, Piotr Przystałka, Dominik Ślęzak , Wprowadzenie do systemu DISESOR, Zintegrowany, szkieletowy system wspomagania decyzji dla systemów monitorowania procesów, urządzeń i zagrożeń, , s. 1-9. Zobacz w PBN