Similarity Relation in Classification Problems. - Andrzej Janusz (RSCTC, 2008)

Rule-Based Similarity for Classification. - Andrzej Janusz (Web Intelligence/IAT Workshops, 2009)

Utilization of Dynamic Reducts to Improve Performance of the Rule-Based Similarity Model for Highly-Dimensional Data. - Andrzej Janusz (Web Intelligence/IAT Workshops, 2010)

Discovering Rules-Based Similarity in Microarray Data. - Andrzej Janusz (IPMU, 2010)

Combining Multiple Classification or Regression Models Using Genetic Algorithms. - Andrzej Janusz (RSCTC, 2010)

RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment. - Marcin Wojnarski; Andrzej Janusz; Hung Son Nguyen; Jan G. Bazan; Chuanjiang Luo; Ze Chen; Feng Hu 001; Guoyin Wang 001; Lihe Guan; Huan Luo (RSCTC, 2010)

Ensembles of Bireducts: Towards Robust Classification and Simple Representation. - Dominik Slezak; Andrzej Janusz (FGIT, 2011)

Applications of Approximate Reducts to the Feature Selection Problem. - Andrzej Janusz; Sebastian Stawicki (RSKT, 2011)

Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia. - Marcin S. Szczuka; Andrzej Janusz; Kamil Herba (RSKT, 2011)

Semantic Analytics of PubMed Content. - Dominik Slezak; Andrzej Janusz; Wojciech Swieboda; Hung Son Nguyen; Jan G. Bazan; Andrzej Skowron (USAB, 2011)

An Ensemble Approach to Multi-label Classification of Textual Data. - Karol Kurach; Krzysztof Pawlowski; Lukasz Romaszko; Marcin Tatjewski; Andrzej Janusz; Hung Son Nguyen (ADMA, 2012)

Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data. - Andrzej Janusz; Dominik Slezak (FedCSIS, 2012)

JRS'2012 Data Mining Competition: Topical Classification of Biomedical Research Papers. - Andrzej Janusz; Hung Son Nguyen; Dominik Slezak; Sebastian Stawicki; Adam Krasuski (RSCTC, 2012)

Interactive Document Indexing Method Based on Explicit Semantic Analysis. - Andrzej Janusz; Wojciech Swieboda; Adam Krasuski; Hung Son Nguyen (RSCTC, 2012)

Unsupervised Similarity Learning from Textual Data. - Andrzej Janusz; Dominik Slezak; Hung Son Nguyen (Fundam. Informaticae, 2012)

Combining multiple predictive models using genetic algorithms. - Andrzej Janusz (Intell. Data Anal., 2012)

Dynamic Rule-Based Similarity Model for DNA Microarray Data. - Andrzej Janusz (Trans. Rough Sets, 2012)

Semantic Clustering of Scientific Articles with Use of DBpedia Knowledge Base. - Marcin S. Szczuka; Andrzej Janusz; Kamil Herba (Intelligent Tools for Building a Scientific Information Platform, 2012)

Semantic Tagging of Heterogeneous Data: Labeling Fire & Rescue Incidents with Threats. - Adam Krasuski; Andrzej Janusz (FedCSIS, 2013)

Improving Semantic Clustering of EWID Reports by Using Heterogeneous Data Types. - Andrzej Janusz; Adam Krasuski; Marcin S. Szczuka (RSFDGrC, 2013)

Semantic Clustering of Scientific Articles Using Explicit Semantic Analysis. - Marcin S. Szczuka; Andrzej Janusz (Trans. Rough Sets, 2013)

Multi-label Classification of Biomedical Articles. - Karol Kurach; Krzysztof Pawlowski; Lukasz Romaszko; Marcin Tatjewski; Andrzej Janusz; Hung Son Nguyen (Intelligent Tools for Building a Scientific Information Platform, 2013)

A Resemblance Based Approach for Recognition of Risks at a Fire Ground. - Lukasz Sosnowski; Andrzej Pietruszka; Adam Krasuski; Andrzej Janusz (AMT, 2014)

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 (FedCSIS, 2014)

Adaptive Learning for Improving Semantic Tagging of Scientific Articles. - Andrzej Janusz; Sebastian Stawicki; Hung Son Nguyen (FedCSIS, 2014)

Assessment of data granulations in context of feature extraction problem. - Andrzej Janusz; Marcin S. Szczuka (GrC, 2014)

Random Probes in Computation and Assessment of Approximate Reducts. - Andrzej Janusz; Dominik Slezak (RSEISP, 2014)

Rough Set Methods for Attribute Clustering and Selection. - Andrzej Janusz; Dominik Slezak (Appl. Artif. Intell., 2014)

Interactive Method for Semantic Document Indexing Based on Explicit Semantic Analysis. - Wojciech Swieboda; Adam Krasuski; Hung Son Nguyen; Andrzej Janusz (Fundam. Informaticae, 2014)

Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". - Lala Septem Riza; Andrzej Janusz; Christoph Bergmeir; Chris Cornelis; Francisco Herrera; Dominik Slezak; José Manuel Benítez 001 (Inf. Sci., 2014)

Algorithms for Similarity Relation Learning from High Dimensional Data. - Andrzej Janusz (Trans. Rough Sets, 2014)

Knowledge Pit - A Data Challenge Platform. - Andrzej Janusz; Dominik Slezak; Sebastian Stawicki; Mariusz Rosiak (CS&P, 2015)

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 (FedCSIS, 2015)

Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold. - Andrzej Janusz; Dominik Slezak (ISMIS, 2015)

Mining Data from Coal Mines: IJCRS'15 Data Challenge. - Andrzej Janusz; Marek Sikora; Lukasz Wróbel; Sebastian Stawicki; Marek Grzegorowski; Piotr Wojtas; Dominik Slezak (RSFDGrC, 2015)

Rough Set Tools for Practical Data Exploration. - Andrzej Janusz; Sebastian Stawicki; Marcin S. Szczuka; Dominik Slezak (RSKT, 2015)

Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. - Andrzej Janusz; Dominik Slezak; Marek Sikora; Lukasz Wróbel (FedCSIS, 2016)

On the role of feature space granulation in feature selection processes. - Marek Grzegorowski; Andrzej Janusz; Dominik Slezak; Marcin S. Szczuka (IEEE BigData, 2017)

Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge. - Andrzej Janusz; Tomasz Tajmajer; Maciej Swiechowski (FedCSIS, 2017)

ISMIS 2017 Data Mining Competition: Trading Based on Recommendations. - Mathurin Aché; Andrzej Janusz; Kamil Zbikowski; Dominik Slezak; Marzena Kryszkiewicz; Henryk Rybinski; Piotr Gawrysiak (ISMIS, 2017)

Toward Interactive Attribute Selection with Infolattices - A Position Paper. - Dominik Slezak; Marek Grzegorowski; Andrzej Janusz; Sebastian Stawicki (IJCRS (2), 2017)

Predicting seismic events in coal mines based on underground sensor measurements. - Andrzej Janusz; Marek Grzegorowski; Marcin Michalak 001; Lukasz Wróbel; Marek Sikora; Dominik Slezak (Eng. Appl. Artif. Intell., 2017)

Decision bireducts and decision reducts - a comparison. - Sebastian Stawicki; Dominik Slezak; Andrzej Janusz; Sebastian Widz (Int. J. Approx. Reason., 2017)

Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images. - Mateusz Przyborowski; Tomasz Tajmajer; Lukasz Grad; Andrzej Janusz; Piotr Biczyk; Dominik Slezak (IEEE BigData, 2018)

Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms. - Maciej Swiechowski; Tomasz Tajmajer; Andrzej Janusz (CIG, 2018)

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 (FedCSIS, 2018)

Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games. - Andrzej Janusz; Lukasz Grad; Dominik Slezak (ICDM Workshops, 2018)

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 (IPMU (2), 2018)

Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches. - Andrzej Janusz; Dominik Slezak (SMC, 2018)

SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players. - Andrzej Janusz; Dominik Slezak; Sebastian Stawicki; Krzysztof Stencel (WI, 2018)

A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines. - Dominik Slezak; Marek Grzegorowski; Andrzej Janusz; Michal Kozielski; Sinh Hoa Nguyen; Marek Sikora; Sebastian Stawicki; Lukasz Wróbel (Inf. Sci., 2018)

IEEE BigData 2019 Cup: Suspicious Network Event Recognition. - Andrzej Janusz; Daniel Kaluza; Agnieszka Chadzynska-Krasowska; Bartek Konarski; Joel Holland; Dominik Slezak (IEEE BigData, 2019)

Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction. - Andrzej Janusz; Lukasz Grad; Marek Grzegorowski (FedCSIS, 2019)

Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results. - Andrzej Janusz; Guohua Hao; Daniel Kaluza; Tony Li; Robert Wojciechowski; Dominik Slezak (IEEE BigData, 2020)

Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. - Andrzej Janusz; Mateusz Przyborowski; Piotr Biczyk; Dominik Slezak (FedCSIS, 2020)

On Positive-Correlation-Promoting Reducts. - Joanna Henzel; Andrzej Janusz; Marek Sikora; Dominik Slezak (IJCRS, 2020)

Predicting Victories in Video Games - IEEE BigData 2021 Cup Report. - Maciej Matraszek; Andrzej Janusz; Maciej Swiechowski; Dominik Slezak (IEEE BigData, 2021)

Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. - Marek Grzegorowski; Eftim Zdravevski; Andrzej Janusz; Petre Lameski; Cas Apanowicz; Dominik Slezak (Big Data Res., 2021)

Schema matching using Gaussian mixture models with Wasserstein distance. - Mateusz Przyborowski; Mateusz Pabis; Andrzej Janusz; Dominik Slezak (CoRR, 2021)

Data-Driven Resilient Supply Management Supported by Demand Forecasting. - Marek Grzegorowski; Andrzej Janusz; Jaroslaw Litwin; Lukasz Marcinowski (ACIIDS (Companion), 2022)

EVEAL - Expected Variance Estimation for Active Learning. - Daniel Kaluza; Andrzej Janusz; Dominik Slezak (IEEE Big Data, 2022)

IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images. - Marcin S. Szczuka; Andrzej Janusz; Boguslaw Cyganek; Jakub Grabek; Lukasz Przebinda; Andzelika Zalewska; Andrzej Bukala; Dominik Slezak (IEEE Big Data, 2022)

Predicting the Costs of Forwarding Contracts: Analysis of Data Mining Competition Results. - Andrzej Janusz; Antoni Jamiolkowski; Michal Okulewicz (FedCSIS, 2022)

KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions. - Andrzej Janusz; Dominik Slezak (FedCSIS, 2022)

Prescriptive Analytics for Optimization of FMCG Delivery Plans. - Marek Grzegorowski; Andrzej Janusz; Stanislaw Lazewski; Maciej Swiechowski; Monika Jankowska (IPMU (2), 2022)

Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players. - Andrzej Janusz; Daniel Kaluza; Maciej Matraszek; Lukasz Grad; Maciej Swiechowski; Dominik Slezak (Inf. Sci., 2022)

IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays. - Mateusz Wnuk; Jan Dziuba; Andrzej Janusz; Dominik Slezak (IEEE Big Data, 2023)

Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. - Daniel Kaluza; Andrzej Janusz; Dominik Slezak (ECAI, 2023)

Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results. - Michal Czerwinski; Marcin Michalak 001; Piotr Biczyk; Blazej Adamczyk; Daniel Iwanicki; Iwona Kostorz; Maksym Brzeczek; Andrzej Janusz; Marek Hermansa; Lukasz Wawrowski; Artur Kozlowski (FedCSIS, 2023)

Reducts in Rough Sets: Algorithmic Insights, Open Source Libraries and Applications (Tutorial - Extended Abstract). - Andrzej Janusz; Sebastian Stawicki (FedCSIS, 2023)

Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report. - Andrzej Janusz; Dominik Slezak (ICME Workshops, 2023)

Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction. - Marek Grzegorowski; Andrzej Janusz; Grzegorz Sliwa; Lukasz Marcinowski; Andrzej Skowron (IJCRS, 2023)

On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning. - Daniel Kaluza; Andrzej Janusz; Dominik Slezak (IJCRS, 2023)

Diagnostic Explainability by BrightBox. - Andzelika Zalewska-Küpçü; Andrzej Janusz; Dominik Slezak (ERCIM News, 2023)

BrightBox - A rough set based technology for diagnosing mistakes of machine learning models. - Andrzej Janusz; Andzelika Zalewska; Lukasz Wawrowski; Piotr Biczyk; Jan Ludziejewski; Marek Sikora; Dominik Slezak (Appl. Soft Comput., 2023)

A practical study of methods for deriving insightful attribute importance rankings using decision bireducts. - Andrzej Janusz; Dominik Slezak; Sebastian Stawicki; Krzysztof Stencel (Inf. Sci., 2023)

Do Data Scientists Dream About Their Skills' Assessment? - Transforming a Competition Platform Into an Assessment Platform. - Dominik Slezak; Andrzej Janusz; Maciej Swiechowski; Agnieszka Chadzynska-Krasowska; Jacek Kaminski (IEEE Big Data, 2024)

IEEE Big Data Cup 2024 Report: Predicting Chess Puzzle Difficulty at KnowledgePit.ai. - Jan Zysko; Maciej Swiechowski; Sebastian Stawicki; Katarzyna Jagiela; Andrzej Janusz; Dominik Slezak (IEEE Big Data, 2024)

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 (FedCSIS, 2024)

ThreatTrace: Cyber-Attack Detection Through Trace Abstraction and Soft Clustering. - Andrzej Janusz; Savandi Kalukapuge; Moe Thandar Wynn (CAiSE (2), 2025)

Suspicious Activity Detection Using Blockchain Process Mining. - Felipe Alejandro Manzor Manzor; Adam Burke 001; Nagarajan Venkatachalam; Andrzej Janusz (CAiSE Workshops, 2025)

On explainability of cluster prototypes with rough sets: A case study in the FMCG market. - Marek Grzegorowski; Andrzej Janusz; Lukasz Marcinowski; Andrzej Skowron; Dominik Slezak; Grzegorz Sliwa (Int. J. Appl. Math. Comput. Sci., 2025)

Evidence-theoretical modeling of uncertainty induced by posterior probability distributions. - Daniel Kaluza; Andrzej Janusz; Dominik Slezak (Int. J. Appl. Math. Comput. Sci., 2025)