Andrzej Janusz

87 papers A 1B 7C 19Misc 1Journal 22Unranked 34

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evidence-theoretical modeling of uncertainty induced by posterior probability distributions. Int. J. Appl. Math. Comput. Sci. Daniel Kaluza, Andrzej Janusz, Dominik Slezak
2025	J	`jnl`	On explainability of cluster prototypes with rough sets: A case study in the FMCG market. Int. J. Appl. Math. Comput. Sci. Marek Grzegorowski, Andrzej Janusz, Lukasz Marcinowski, Andrzej Skowron, Dominik Slezak, Grzegorz Sliwa
2025	—	`conf`	Suspicious Activity Detection Using Blockchain Process Mining. CAiSE Workshops Felipe Alejandro Manzor Manzor, Adam Burke, Nagarajan Venkatachalam, Andrzej Janusz
2025	—	`conf`	ThreatTrace: Cyber-Attack Detection Through Trace Abstraction and Soft Clustering. CAiSE (2) Andrzej Janusz, Savandi Kalukapuge, Moe Thandar Wynn
2024	B	`conf`	Do Data Scientists Dream About Their Skills' Assessment? - Transforming a Competition Platform Into an Assessment Platform. IEEE Big Data Dominik Slezak, Andrzej Janusz, Maciej Swiechowski, Agnieszka Chadzynska-Krasowska, Jacek Kaminski
2024	B	`conf`	IEEE Big Data Cup 2024 Report: Predicting Chess Puzzle Difficulty at KnowledgePit.ai. IEEE Big Data Jan Zysko, Maciej Swiechowski, Sebastian Stawicki, Katarzyna Jagiela, Andrzej Janusz, Dominik Slezak
2024	C	`conf`	Predicting Stock Trends Using Common Financial Indicators: A Summary of FedCSIS 2024 Data Science Challenge Held on KnowledgePit.ai Platform. FedCSIS Aleksandar M. Rakicevic, Pavle D. Milosevic, Ivana T. Dragovic, Ana M. Poledica, Milica M. Zukanovic, Andrzej Janusz, Dominik Slezak
2023	J	`jnl`	A practical study of methods for deriving insightful attribute importance rankings using decision bireducts. Inf. Sci. Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Krzysztof Stencel
2023	J	`jnl`	BrightBox - A rough set based technology for diagnosing mistakes of machine learning models. Appl. Soft Comput. Andrzej Janusz, Andzelika Zalewska, Lukasz Wawrowski, Piotr Biczyk, Jan Ludziejewski, Marek Sikora, Dominik Slezak
2023	C	`conf`	Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results. FedCSIS Michal Czerwinski, Marcin Michalak, Piotr Biczyk, Blazej Adamczyk, Daniel Iwanicki, Iwona Kostorz, Maksym Brzeczek, Andrzej Janusz, Marek Hermansa, Lukasz Wawrowski, Artur Kozlowski
2023	J	`jnl`	Diagnostic Explainability by BrightBox. ERCIM News Andzelika Zalewska-Küpçü, Andrzej Janusz, Dominik Slezak
2023	B	`conf`	IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays. IEEE Big Data Mateusz Wnuk, Jan Dziuba, Andrzej Janusz, Dominik Slezak
2023	—	`conf`	On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning. IJCRS Daniel Kaluza, Andrzej Janusz, Dominik Slezak
2023	—	`conf`	Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report. ICME Workshops Andrzej Janusz, Dominik Slezak
2023	C	`conf`	Reducts in Rough Sets: Algorithmic Insights, Open Source Libraries and Applications (Tutorial - Extended Abstract). FedCSIS Andrzej Janusz, Sebastian Stawicki
2023	A	`conf`	Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. ECAI Daniel Kaluza, Andrzej Janusz, Dominik Slezak
2023	J	`jnl`	Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. CoRR Daniel Kaluza, Andrzej Janusz, Dominik Slezak
2023	—	`conf`	Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction. IJCRS Marek Grzegorowski, Andrzej Janusz, Grzegorz Sliwa, Lukasz Marcinowski, Andrzej Skowron
2022	—	`conf`	Data-Driven Resilient Supply Management Supported by Demand Forecasting. ACIIDS (Companion) Marek Grzegorowski, Andrzej Janusz, Jaroslaw Litwin, Lukasz Marcinowski
2022	B	`conf`	EVEAL - Expected Variance Estimation for Active Learning. IEEE Big Data Daniel Kaluza, Andrzej Janusz, Dominik Slezak
2022	B	`conf`	IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images. IEEE Big Data Marcin S. Szczuka, Andrzej Janusz, Boguslaw Cyganek, Jakub Grabek, Lukasz Przebinda, Andzelika Zalewska, Andrzej Bukala, Dominik Slezak
2022	C	`conf`	KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions. FedCSIS Andrzej Janusz, Dominik Slezak
2022	J	`jnl`	Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players. Inf. Sci. Andrzej Janusz, Daniel Kaluza, Maciej Matraszek, Lukasz Grad, Maciej Swiechowski, Dominik Slezak
2022	C	`conf`	Predicting the Costs of Forwarding Contracts: Analysis of Data Mining Competition Results. FedCSIS Andrzej Janusz, Antoni Jamiolkowski, Michal Okulewicz
2022	—	`conf`	Prescriptive Analytics for Optimization of FMCG Delivery Plans. IPMU (2) Marek Grzegorowski, Andrzej Janusz, Stanislaw Lazewski, Maciej Swiechowski, Monika Jankowska
2021	J	`jnl`	Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. Big Data Res. Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Slezak
2021	—	`conf`	Predicting Victories in Video Games - IEEE BigData 2021 Cup Report. IEEE BigData Maciej Matraszek, Andrzej Janusz, Maciej Swiechowski, Dominik Slezak
2021	J	`jnl`	Schema matching using Gaussian mixture models with Wasserstein distance. CoRR Mateusz Przyborowski, Mateusz Pabis, Andrzej Janusz, Dominik Slezak
2020	C	`conf`	Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. FedCSIS Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, Dominik Slezak
2020	—	`conf`	On Positive-Correlation-Promoting Reducts. IJCRS Joanna Henzel, Andrzej Janusz, Marek Sikora, Dominik Slezak
2020	—	`conf`	Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results. IEEE BigData Andrzej Janusz, Guohua Hao, Daniel Kaluza, Tony Li, Robert Wojciechowski, Dominik Slezak
2019	C	`conf`	Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction. FedCSIS Andrzej Janusz, Lukasz Grad, Marek Grzegorowski
2019	—	`conf`	IEEE BigData 2019 Cup: Suspicious Network Event Recognition. IEEE BigData Andrzej Janusz, Daniel Kaluza, Agnieszka Chadzynska-Krasowska, Bartek Konarski, Joel Holland, Dominik Slezak
2018	J	`jnl`	A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines. Inf. Sci. Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Michal Kozielski, Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki, Lukasz Wróbel
2018	—	`conf`	How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics. IPMU (2) Andrzej Janusz, Sebastian Stawicki, Michal Drewniak, Krzysztof Ciebiera, Dominik Slezak, Krzysztof Stencel
2018	—	`conf`	Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms. CIG Maciej Swiechowski, Tomasz Tajmajer, Andrzej Janusz
2018	J	`jnl`	Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms. CoRR Maciej Swiechowski, Tomasz Tajmajer, Andrzej Janusz
2018	B	`conf`	Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches. SMC Andrzej Janusz, Dominik Slezak
2018	B	`conf`	SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players. WI Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Krzysztof Stencel
2018	—	`conf`	Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images. IEEE BigData Mateusz Przyborowski, Tomasz Tajmajer, Lukasz Grad, Andrzej Janusz, Piotr Biczyk, Dominik Slezak
2018	C	`conf`	Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition. FedCSIS Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski, Lukasz Grad, Jacek Puczniewski, Dominik Slezak
2018	—	`conf`	Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games. ICDM Workshops Andrzej Janusz, Lukasz Grad, Dominik Slezak
2017	J	`jnl`	Decision bireducts and decision reducts - a comparison. Int. J. Approx. Reason. Sebastian Stawicki, Dominik Slezak, Andrzej Janusz, Sebastian Widz
2017	C	`conf`	Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge. FedCSIS Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski
2017	J	`jnl`	Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge. CoRR Andrzej Janusz, Maciej Swiechowski, Tomasz Tajmajer
2017	C	`conf`	ISMIS 2017 Data Mining Competition: Trading Based on Recommendations. ISMIS Mathurin Aché, Andrzej Janusz, Kamil Zbikowski, Dominik Slezak, Marzena Kryszkiewicz, Henryk Rybinski, Piotr Gawrysiak
2017	—	`conf`	On the role of feature space granulation in feature selection processes. IEEE BigData Marek Grzegorowski, Andrzej Janusz, Dominik Slezak, Marcin S. Szczuka
2017	J	`jnl`	Predicting seismic events in coal mines based on underground sensor measurements. Eng. Appl. Artif. Intell. Andrzej Janusz, Marek Grzegorowski, Marcin Michalak, Lukasz Wróbel, Marek Sikora, Dominik Slezak
2017	—	`conf`	Toward Interactive Attribute Selection with Infolattices - A Position Paper. IJCRS (2) Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Sebastian Stawicki
2016	C	`conf`	Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. FedCSIS Andrzej Janusz, Dominik Slezak, Marek Sikora, Lukasz Wróbel
2016	—	`ed.`	Rough Sets - International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7-11, 2016, Proceedings IJCRS Víctor Flores, Fernando A. C. Gomide, Andrzej Janusz, Claudio Meneses, Duoqian Miao, Georg Peters, Dominik Slezak, Guoyin Wang, Richard Weber, Yiyu Yao
2015	C	`conf`	Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold. ISMIS Andrzej Janusz, Dominik Slezak
2015	—	`conf`	Knowledge Pit - A Data Challenge Platform. CS&P Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Mariusz Rosiak
2015	—	`conf`	Mining Data from Coal Mines: IJCRS'15 Data Challenge. RSFDGrC Andrzej Janusz, Marek Sikora, Lukasz Wróbel, Sebastian Stawicki, Marek Grzegorowski, Piotr Wojtas, Dominik Slezak
2015	—	`conf`	Rough Set Tools for Practical Data Exploration. RSKT Andrzej Janusz, Sebastian Stawicki, Marcin S. Szczuka, Dominik Slezak
2015	C	`conf`	Tagging Firefighter Activities at the emergency scene: Summary of AAIA'15 data mining competition at knowledge pit. FedCSIS Michal Meina, Andrzej Janusz, Krzysztof Rykaczewski, Dominik Slezak, Bartosz Celmer, Adam Krasuski
2014	—	`conf`	A Resemblance Based Approach for Recognition of Risks at a Fire Ground. AMT Lukasz Sosnowski, Andrzej Pietruszka, Adam Krasuski, Andrzej Janusz
2014	C	`conf`	Adaptive Learning for Improving Semantic Tagging of Scientific Articles. FedCSIS Andrzej Janusz, Sebastian Stawicki, Hung Son Nguyen
2014	J	`jnl`	Algorithms for Similarity Relation Learning from High Dimensional Data. Trans. Rough Sets Andrzej Janusz
2014	Misc	`conf`	Assessment of data granulations in context of feature extraction problem. GrC Andrzej Janusz, Marcin S. Szczuka
2014	J	`jnl`	Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Inf. Sci. Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez
2014	J	`jnl`	Interactive Method for Semantic Document Indexing Based on Explicit Semantic Analysis. Fundam. Informaticae Wojciech Swieboda, Adam Krasuski, Hung Son Nguyen, Andrzej Janusz
2014	C	`conf`	Key Risk Factors for Polish State Fire Service: a Data Mining Competition at Knowledge Pit. FedCSIS Andrzej Janusz, Adam Krasuski, Sebastian Stawicki, Mariusz Rosiak, Dominik Slezak, Hung Son Nguyen
2014	—	`conf`	Random Probes in Computation and Assessment of Approximate Reducts. RSEISP Andrzej Janusz, Dominik Slezak
2014	J	`jnl`	Rough Set Methods for Attribute Clustering and Selection. Appl. Artif. Intell. Andrzej Janusz, Dominik Slezak
2013	—	`conf`	Improving Semantic Clustering of EWID Reports by Using Heterogeneous Data Types. RSFDGrC Andrzej Janusz, Adam Krasuski, Marcin S. Szczuka
2013	—	`ch.`	Multi-label Classification of Biomedical Articles. Intelligent Tools for Building a Scientific Information Platform Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen
2013	J	`jnl`	Semantic Clustering of Scientific Articles Using Explicit Semantic Analysis. Trans. Rough Sets Marcin S. Szczuka, Andrzej Janusz
2013	C	`conf`	Semantic Tagging of Heterogeneous Data: Labeling Fire & Rescue Incidents with Threats. FedCSIS Adam Krasuski, Andrzej Janusz
2012	C	`conf`	An Ensemble Approach to Multi-label Classification of Textual Data. ADMA Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen
2012	J	`jnl`	Combining multiple predictive models using genetic algorithms. Intell. Data Anal. Andrzej Janusz
2012	J	`jnl`	Dynamic Rule-Based Similarity Model for DNA Microarray Data. Trans. Rough Sets Andrzej Janusz
2012	—	`conf`	Interactive Document Indexing Method Based on Explicit Semantic Analysis. RSCTC Andrzej Janusz, Wojciech Swieboda, Adam Krasuski, Hung Son Nguyen
2012	—	`conf`	JRS'2012 Data Mining Competition: Topical Classification of Biomedical Research Papers. RSCTC Andrzej Janusz, Hung Son Nguyen, Dominik Slezak, Sebastian Stawicki, Adam Krasuski
2012	—	`ch.`	Semantic Clustering of Scientific Articles with Use of DBpedia Knowledge Base. Intelligent Tools for Building a Scientific Information Platform Marcin S. Szczuka, Andrzej Janusz, Kamil Herba
2012	J	`jnl`	Unsupervised Similarity Learning from Textual Data. Fundam. Informaticae Andrzej Janusz, Dominik Slezak, Hung Son Nguyen
2012	C	`conf`	Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data. FedCSIS Andrzej Janusz, Dominik Slezak
2011	—	`conf`	Applications of Approximate Reducts to the Feature Selection Problem. RSKT Andrzej Janusz, Sebastian Stawicki
2011	—	`conf`	Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia. RSKT Marcin S. Szczuka, Andrzej Janusz, Kamil Herba
2011	—	`conf`	Ensembles of Bireducts: Towards Robust Classification and Simple Representation. FGIT Dominik Slezak, Andrzej Janusz
2011	—	`conf`	Semantic Analytics of PubMed Content. USAB Dominik Slezak, Andrzej Janusz, Wojciech Swieboda, Hung Son Nguyen, Jan G. Bazan, Andrzej Skowron
2010	—	`conf`	Combining Multiple Classification or Regression Models Using Genetic Algorithms. RSCTC Andrzej Janusz
2010	C	`conf`	Discovering Rules-Based Similarity in Microarray Data. IPMU Andrzej Janusz
2010	—	`conf`	RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment. RSCTC Marcin Wojnarski, Andrzej Janusz, Hung Son Nguyen, Jan G. Bazan, Chuanjiang Luo, Ze Chen, Feng Hu, Guoyin Wang, Lihe Guan, Huan Luo
2010	—	`conf`	Utilization of Dynamic Reducts to Improve Performance of the Rule-Based Similarity Model for Highly-Dimensional Data. Web Intelligence/IAT Workshops Andrzej Janusz
2009	—	`conf`	Rule-Based Similarity for Classification. Web Intelligence/IAT Workshops Andrzej Janusz
2008	—	`conf`	Similarity Relation in Classification Problems. RSCTC Andrzej Janusz