| 2026 | CaiSE | DupliMend: Online Detection and Refinement of Imprecise Activity Labels. | Savandi Kalukapuge, Andrzej Janusz, Moe Thandar Wynn |
| 2025 | CaiSE | ThreatTrace: Cyber-Attack Detection Through Trace Abstraction and Soft Clustering. | Andrzej Janusz, Savandi Kalukapuge, Moe Thandar Wynn |
| 2025 | CaiSE | Suspicious Activity Detection Using Blockchain Process Mining. | Felipe Alejandro Manzor Manzor, Adam Burke, Nagarajan Venkatachalam, Andrzej Janusz |
| 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 |
| 2023 | FedCSIS | Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results. | Michal Czerwinski, Marcin Michalak, Piotr Biczyk, Blazej Adamczyk, Daniel Iwanicki, Iwona Kostorz, Maksym Brzeczek, Andrzej Janusz, Marek Hermansa, Lukasz Wawrowski, Artur Kozlowski |
| 2023 | FedCSIS | Reducts in Rough Sets: Algorithmic Insights, Open Source Libraries and Applications (Tutorial - Extended Abstract). | Andrzej Janusz, Sebastian Stawicki |
| 2022 | ACIIDS | Data-Driven Resilient Supply Management Supported by Demand Forecasting. | Marek Grzegorowski, Andrzej Janusz, Jaroslaw Litwin, Lukasz Marcinowski |
| 2022 | FedCSIS | Predicting the Costs of Forwarding Contracts: Analysis of Data Mining Competition Results. | Andrzej Janusz, Antoni Jamiolkowski, Michal Okulewicz |
| 2022 | FedCSIS | KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions. | Andrzej Janusz, Dominik Slezak |
| 2022 | IPMU | Prescriptive Analytics for Optimization of FMCG Delivery Plans. | Marek Grzegorowski, Andrzej Janusz, Stanislaw Lazewski, Maciej Swiechowski, Monika Jankowska |
| 2020 | FedCSIS | Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. | Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, Dominik Slezak |
| 2019 | FedCSIS | Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction. | Andrzej Janusz, Lukasz Grad, Marek Grzegorowski |
| 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 | 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 |
| 2017 | FedCSIS | Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge. | Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski |
| 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 |
| 2016 | FedCSIS | Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. | Andrzej Janusz, Dominik Slezak, Marek Sikora, Lukasz Wrbel |
| 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 | 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 | FedCSIS | Adaptive Learning for Improving Semantic Tagging of Scientific Articles. | Andrzej Janusz, Sebastian Stawicki, Hung Son Nguyen |
| 2014 | GRC | Assessment of data granulations in context of feature extraction problem. | Andrzej Janusz, Marcin S. Szczuka |
| 2013 | FedCSIS | Semantic Tagging of Heterogeneous Data: Labeling Fire & Rescue Incidents with Threats. | Adam Krasuski, Andrzej Janusz |
| 2012 | ADMA | An Ensemble Approach to Multi-label Classification of Textual Data. | Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen |
| 2012 | FedCSIS | Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data. | Andrzej Janusz, Dominik Slezak |
| 2010 | IPMU | Discovering Rules-Based Similarity in Microarray Data. | Andrzej Janusz |