| 2025 | FedCSIS | FedCSIS 2025 knowledgepit.ai Competition: Predicting Chess Puzzle Difficulty Part 2 & A Step Toward Uncertainty Contests. | Jan Zysko, Michal Slezak, Dominik Slezak, Maciej Swiechowski |
| 2024 | FedCSIS | QEDrants - Data Quality Quadrants for Business Users and Decision-Makers. | Alina Powala, Dominik Slezak |
| 2024 | FedCSIS | Predicting Stock Trends Using Common Financial Indicators: A Summary of FedCSIS 2024 Data Science Challenge Held on KnowledgePit.ai Platform. | Aleksandar M. Rakicevic, Pavle D. Milosevic, Ivana T. Dragovic, Ana M. Poledica, Milica M. Zukanovic, Andrzej Janusz, Dominik Slezak |
| 2023 | ECAI | Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. | Daniel Kaluza, Andrzej Janusz, Dominik Slezak |
| 2022 | FedCSIS | KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions. | Andrzej Janusz, Dominik Slezak |
| 2022 | FedCSIS | Rough Sets Turn 40: From Information Systems to Intelligent Systems. | Andrzej Skowron, Dominik Slezak |
| 2020 | FedCSIS | Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. | Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, Dominik Slezak |
| 2020 | FedCSIS | Introducing LogDL - Log Description Language for Insights from Complex Data. | Maciej Swiechowski, Dominik Slezak |
| 2020 | ICSoft | Introducing AI/ML Components into Software Systems. | Dominik Slezak |
| 2018 | FedCSIS | Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition. | Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski, Lukasz Grad, Jacek Puczniewski, Dominik Slezak |
| 2018 | ICDM | Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games. | Andrzej Janusz, Lukasz Grad, Dominik Slezak |
| 2018 | ICDM | Granular Games in Real-Time Environment. | Maciej Swiechowski, Dominik Slezak |
| 2018 | IPMU | How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics. | Andrzej Janusz, Sebastian Stawicki, Michal Drewniak, Krzysztof Ciebiera, Dominik Slezak, Krzysztof Stencel |
| 2018 | SMC | Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches. | Andrzej Janusz, Dominik Slezak |
| 2018 | WWW | Toward Approximate Intelligence: Approximate Query Engines & Approximate Data Exploration. | Dominik Slezak |
| 2017 | EUSFLAT | Learning in Comparator Networks. | Lukasz Sosnowski, Dominik Slezak |
| 2017 | ISMIS | ISMIS 2017 Data Mining Competition: Trading Based on Recommendations. | Mathurin Ach, Andrzej Janusz, Kamil Zbikowski, Dominik Slezak, Marzena Kryszkiewicz, Henryk Rybinski, Piotr Gawrysiak |
| 2017 | ISMIS | Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection. | Agnieszka Chadzynska-Krasowska, Pawel Betlinski, Dominik Slezak |
| 2016 | FedCSIS | Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. | Andrzej Janusz, Dominik Slezak, Marek Sikora, Lukasz Wrbel |
| 2015 | EUSFLAT | adelta;-information reducts and bireducts. | Mara Jos Bentez-Caballero, Jess Medina, Dominik Slezak |
| 2015 | FedCSIS | Tagging Firefighter Activities at the emergency scene: Summary of AAIA'15 data mining competition at knowledge pit. | Michal Meina, Andrzej Janusz, Krzysztof Rykaczewski, Dominik Slezak, Bartosz Celmer, Adam Krasuski |
| 2015 | ICMLC | Cost-sensitive regression-based recommender system. | Heng-Ru Zhang, Fan Min, Dominik Slezak, Bing Shi |
| 2015 | ISMIS | Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold. | Andrzej Janusz, Dominik Slezak |
| 2014 | FedCSIS | Key Risk Factors for Polish State Fire Service: a Data Mining Competition at Knowledge Pit. | Andrzej Janusz, Adam Krasuski, Sebastian Stawicki, Mariusz Rosiak, Dominik Slezak, Hung Son Nguyen |
| 2014 | GRC | Complexity aspects of multi-machine aggregations in a rough-granular computation framework. | Piotr Synak, Dominik Slezak |
| 2013 | FedCSIS | Approximate Assistance for Correlated Subqueries. | Marcin Kowalski, Dominik Slezak, Piotr Synak |
| 2013 | IFSA | Intelligent granulation of machine-generated data. | Dominik Slezak, Marcin Kowalski |
| 2013 | IFSA | How deep data becomes big data. | Marcin S. Szczuka, Dominik Slezak |
| 2012 | ADBIS | Granular Knowledge Discovery Framework. | Adam Krasuski, Dominik Slezak, Karol Krenski, Stanislaw Lazowy |
| 2012 | FedCSIS | Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data. | Andrzej Janusz, Dominik Slezak |
| 2012 | ICFCA | Rough Sets and FCA - Scalability Challenges. | Dominik Slezak |
| 2012 | IPMU | Management of Information Incompleteness in Rough Non-deterministic Information Analysis. | Hiroshi Sakai, Michinori Nakata, Dominik Slezak |
| 2012 | IPMU | Rough SQL - Semantics and Execution. | Dominik Slezak, Piotr Synak, Graham Toppin, Jakub Wroblewski, Janusz Borkowski |
| 2012 | ISMIS | The Problem of Finding the Sparsest Bayesian Network for an Input Data Set is NP-Hard. | Pawel Betlinski, Dominik Slezak |
| 2011 | GRC | Properties on inclusion relations and division charts in non-deterministic information systems. | Hitomi Okuma, Michinori Nakata, Dominik Slezak, Hiroshi Sakai |
| 2011 | ISMIS | Injecting Domain Knowledge into RDBMS - Compression of Alphanumeric Data Attributes. | Marcin Kowalski, Dominik Slezak, Graham Toppin, Arkadiusz Wojna |
| 2010 | CIKM | Injecting domain knowledge into a granular database engine: a position paper. | Dominik Slezak, Graham Toppin |
| 2010 | GRC | Infobright Analytic Database Engine Using Rough Sets and Granular Computing. | Dominik Slezak, Piotr Synak, Jakub Wroblewski, Graham Toppin |
| 2009 | SIGMOD | Data warehouse technology by infobright. | Dominik Slezak, Victoria Eastwood |
| 2005 | ISMIS | Interactive SOM-Based Gene Grouping: An Approach to Gene Expression Data Analysis. | Alicja Gruzdz, Aleksandra Ihnatowicz, Dominik Slezak |
| 2005 | ISMIS | Association Reducts: A Framework for Mining Multi-attribute Dependencies. | Dominik Slezak |
| 2003 | ISMIS | Searching for the Complex Decision Reducts: The Case Study of the Survival Analysis. | Jan G. Bazan, Andrzej Skowron, Dominik Slezak, Jakub Wroblewski |
| 2003 | ISMIS | Constructing Extensions of Bayesian Classifiers with Use of Normalizing Neural Networks. | Dominik Slezak, Jakub Wroblewski, Marcin S. Szczuka |
| 2002 | ISMIS | KDD-Based Approach to Musical Instrument Sound Recognition. | Dominik Slezak, Piotr Synak, Alicja Wieczorkowska, Jakub Wroblewski |
| 1997 | ISMIS | Decision Value Oriented Decomposition of Data Tables. | Dominik Slezak |