Publications

Andrzej Janusz

Number of publications: 82

2023

• 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, p. 119354, 1-19. See in PBN
• Michał Czerwiński, Marcin Michalak, Piotr Biczyk, Błażej Adamczyk, Daniel Iwanicki, Iwona Kostorz, Maksym Brzęczek, Andrzej Janusz , Marek Hermansa, Łukasz Wawrowski, Artur Kozłowski, Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results, Annals of Computer Science and Information Systems, 18th Conference on Computer Science and Intelligence Systems, Warszawa, Poland, 17 September 2023 - 20 September 2023, 35 2023, p. 1289--1293. See in PBN
• Andzelika Zalewska-Kupccu, Andrzej Janusz , Dominik Ślęzak , Diagnostic Explainability by BrightBox, ERCIM News, 2023 2023. See in 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 December 2023 - 18 December 2023. See in 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 October 2023 - 8 October 2023, 14481 2023, p. 479-494. See in 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 July 2023 - 14 July 2023. See in PBN
• Andrzej Janusz , Sebastian Stawicki, Reducts in Rough Sets: Algorithmic Insights, Open Source Libraries and Applications (Tutorial – Extended Abstract), Annals of Computer Science and Information Systems, 18th Conference on Computer Science and Intelligence Systems, Warszawa, Poland, 17 September 2023 - 20 September 2023, 35 2023, p. 71. See in 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 September 2023 - 4 October 2023, 372 2023, p. 1207--1214. See in PBN
• Marek Grzegorowski, Andrzej Janusz , Grzegorz Śliwa, Łukasz Marcinowski, Andrzej Skowron, Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction, International Joint Conference on Rough Sets 2023, Kraków, Poland, 5 October 2023 - 8 October 2023. See in PBN

2022

• Daniel Kałuża , Andrzej Janusz , Dominik Ślęzak , EVEAL - Expected Variance Estimation for Active Learning, IEEE BigData 2022, Osaka, Japan, 17 December 2022 - 20 December 2022. See in 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 December 2022 - 20 December 2022. See in 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 September 2022 - 7 September 2022. See in 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, p. 193-210. See in PBN
• Andrzej Janusz , Antoni Jamiolkowski, Michal Okulewicz, Predicting the Costs of Forwarding Contracts: Analysis of Data Mining Competition Results, 17th Conference on Computer Science and Intelligence Systems, Sofia, Bulgaria, 4 September 2022 - 7 September 2022, 30 2022, p. 399-402. See in 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, p. 1-13. See in PBN
• Maciej Matraszek, Andrzej Janusz , Maciej Świechowski, Dominik Ślęzak , Predicting Victories in Video Games - IEEE BigData 2021 Cup Report, 2021. See in 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 September 2019 - 2 October 2019. See in 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 September 2020 - 9 September 2020, 21 2020, p. 77-80. See in 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 June 2020 - 3 July 2020, 12179 2020, p. 213--221. See in 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 December 2020 - 13 December 2020. See in PBN

2019

• Andrzej Janusz , Łukasz Grad , Marek Grzegorowski, Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction, ACSIS-Annals of Computer Science and Information Systems, 14th FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, Leipzig, Germany, 1 September 2019 - 4 September 2019. See in 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 December 2019 - 12 December 2019. See in 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, p. 112-133. See in 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 June 2018 - 15 June 2018, 854 2018, p. 503-514. See in PBN
• Andrzej Janusz , Maciej Świechowski, Tomasz Tajmajer, Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms, 2018 IEEE Conference on Computational Intelligence and Games, Maastricht, the Netherlands, 14 August 2018 - 17 August 2018. See in 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 October 2018 - 10 October 2018. See in 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. See in 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 September 2018 - 12 September 2018, 15 2018, p. 189-192. See in 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 December 2018 - 13 December 2018. See in 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, p. 422-429. See in PBN

2017

• Sebastian Stawicki, Dominik Ślęzak , Andrzej Janusz , Sebastian Widz, Decision bireducts and decision reducts - a comparison, International Journal of Approximate Reasoning, 84 2017, p. 75-109. See in PBN
• Andrzej Janusz , Tomasz Tajmajer, Maciej Świechowski, Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge, Annals of Computer Science and Information Systems, 2017 Federated Conference on Computer Science and Information Systems, Praga, Czechia, 11 2017, p. 121–125. See in 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 June 2017 - 29 June 2017. See in PBN
• Adam Gudyś, Andrzej Janusz , Marek Sikora, Tomasz Stęclik, Łukasz Wróbel, Dominik Ślęzak , Moduł analityczny, 2017. See in 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 December 2017 - 14 December 2017. See in 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, p. 83-94. See in 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. See in 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 July 2017 - 7 July 2017. See in PBN

2016

• 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. See in 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. See in PBN

2015

• Andrzej Janusz , Dominik Ślęzak , Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold, 22nd International Symposium on Methodologies for Intelligent Systems, Lyon, France, 21 October 2015 - 23 October 2015. See in 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 September 2015 - 30 September 2015. See in 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 November 2015 - 23 November 2015. See in 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 November 2015 - 23 December 2015. See in 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. See in PBN

2014

• Andrzej Janusz , Adam Krasuski, Andrzej Pietruszka, Łukasz Sosnowski, A Resemblance Based Approach for Recognition of Risks at a Fire Ground, Active Media Technology - 10th International Conference, AMT 2014, Warsaw, Poland, August 11-14, 2014. Proceedings, 2014. See in PBN
• Andrzej Janusz , Hung Son Nguyen , Sebastian Stawicki, Adaptive Learning for Improving Semantic Tagging of Scientific Articles, Federated Conference on Computer Science and Information Systems, Warszawa, Poland, 7 September 2014 - 10 September 2014. See in PBN
• Andrzej Janusz , Algorithms for Similarity Relation Learning from High Dimensional Data, Transactions on Rough Sets XVII, 17 2014, p. 174-292. See in PBN
• Andrzej Janusz , Marcin Szczuka, Assessment of data granulations in context of feature extraction problem, 2014 IEEE International Conference on Granular Computing, Noboribetsu, Japan, 22 October 2014 - 24 October 2014. See in 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, p. 68-89. See in PBN
• Andrzej Janusz , Hung Son Nguyen , Adam Krasuski, Wojciech Świeboda, Interactive Method for Semantic Document Indexing Based on Explicit Semantic Analysis, Fundamenta Informaticae, 132 (3) 2014, p. 423-438. See in 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 September 2014 - 10 September 2014. See in PBN
• Andrzej Janusz , Dominik Ślęzak , Random Probes in Computation and Assessment of Approximate Reducts, Rough Sets and Intelligent Systems Paradigms, 2014. See in PBN
• Andrzej Janusz , Dominik Ślęzak , Rough Set Methods for Attribute Clustering and Selection, Applied Artificial Intelligence, 2014. See in PBN

2013

• Andrzej Janusz , Adam Krasuski, Marcin Szczuka, Improving Semantic Clustering of EWID Reports by Using Heterogeneous Data Types, Joint Rough Set Symposium 2013, Halifax, Canada, 11 October 2013 - 14 October 2013. See in PBN
• Marcin Tatjewski, Hung Son Nguyen , Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Andrzej Janusz , Multi-label Classification of Biomedical Articles, Intelligent Tools for Building a Scientific Information Platform. Advanced Architectures and Solutions, 2013. See in PBN
• Andrzej Janusz , Marcin Szczuka, Semantic Clustering of Scientific Articles Using Explicit Semantic Analysis, LECTURE NOTES IN COMPUTER SCIENCE TRANSACTIONS ON ROUGH SETS, 2013. See in PBN
• Adam Krasuski, Andrzej Janusz , Semantic tagging of heterogeneous data: Labeling Fire&Rescue incidents with threats, Federated Conference on Computer Science and Information Systems FedCSIS 2013, Kraków, Poland, 8 September 2013 - 11 September 2013. See in PBN

2012

• Andrzej Janusz , Karol Kurach, Hung Son Nguyen , Krzysztof Pawłowski, Łukasz Romaszko, Marcin Tatjewski, An Ensemble Approach to Multi-label Classification of Textual Data, Advanced Data Mining and Applications, 2012. See in PBN
• Andrzej Janusz , Combining multiple predictive models using genetic algorithms, Intelligent Data Analysis, 2012. See in PBN
• Andrzej Janusz , Dynamic rule-based similarity model for DNA microarray data, 2012. See in PBN
• Andrzej Janusz , Adam Krasuski, Hung Son Nguyen , Wojciech Świeboda, Interactive document indexing method based on explicit semantic analysis, 2012. See in 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. See in PBN
• Andrzej Janusz , Marcin Szczuka, Semantic clustering of scientific articles using explicit semantic analysis, 2012. See in PBN
• Kamil Herba, Andrzej Janusz , Marcin Szczuka, Semantic clustering of scientific articles with use of DBpedia Knowledge Base, Computer Science, 2012. See in PBN
• Andrzej Janusz , Hung Son Nguyen , Dominik Ślęzak , Unsupervised Similarity Learning from Textual Data, Fundamenta Informaticae, 2012. See in 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. See in 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. See in PBN

2011

• Dominik Ślęzak , Andrzej Janusz , An unsupervised model for rule-based similarity learning from textual data, 2011. See in PBN
• Andrzej Janusz , Sebastian Stawicki, Applications of approximate reducts to the feature selection problem, Lecture Notes in Computer Science, 2011. See in PBN
• Kamil Herba, Andrzej Janusz , Marcin Szczuka, Clustering of rough set related documents with use of knowledge from DBpedia, Lecture Notes in Computer Science, 2011. See in PBN
• Kamil Herba, Andrzej Janusz , Marcin Szczuka, Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia. Jingtao Yao, Sheela Ramanna, Guoyin Wang, Zbigniew Suraj (eds.), Lecture Notes in Computer Science, 2011. See in PBN
• Andrzej Janusz , Dominik Ślęzak , Ensembles of bireducts: towards robust classification and simple representation, Lecture Notes in Computer Science, 2011. See in PBN
• Jan G. Bazan, Andrzej Janusz , Hung Son Nguyen , Dominik Ślęzak , Wojciech Świeboda, Semantic analytics of PubMed content, Lecture Notes in Computer Science, 2011. See in PBN

2010

• Andrzej Janusz , Combining Multiple Classification or Regression Models Using Genetic Algorithms, International Conference on Rough Sets and Current Trends in Computing, 2010. See in PBN
• Andrzej Janusz , Discovering Rules-based Similarity in Microarray Data, Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2010), 2010. See in PBN
• Jan G. Bazan, Matko Bošnjak, Ze Chen, Gamberger Dragan, Juan Gao, McLachlan Geoffrey J., Lihe Guan, Feng Hu, Tian-Hsiang Huang, Andrzej Janusz , Chuan Jiang Luo, Huan Luo, Hung Son Nguyen , Yuanxia Shen, Nikulin Vladimir, Guoyin Wang, Marcin Wojnarski, RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment, 7th International Conference on Rough Sets and Current Trends in Computing, Warszawa, Poland, 28 June 2010 - 30 June 2010. See in PBN

2008

• Andrzej Janusz , Similarity Relation in Classification Problems, Rough Sets and Current Trends in Computing, Akron, the United States of America, 2008. See in PBN

Others

• Marek Grzegorowski, Andrzej Janusz , Jarosław Litwin, Łukasz Marcinowski, Data-Driven Resilient Supply Management Supported by Demand Forecasting, Recent Challenges in Intelligent Information and Database Systems: 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, , p. 122-134. See in PBN
• Marek Grzegorowski, Andrzej Janusz , Stanisław Łażewski, Monika Jankowska, Maciej Świechowski, Prescriptive Analytics for Optimization of FMCG Delivery Plans, Information Processing and Management of Uncertainty in Knowledge-Based Systems: 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part I, , p. 44-53. See in PBN
• Andrzej Janusz , Marek Grzegorowski, Michał Kozielski, Zdzisław Krzystanek, Marek Sikora, Dominik Ślęzak , Łukasz Wróbel, Przykłady zastosowania systemu DISESOR w analizie i predykcji zagrożeń, Zintegrowany, szkieletowy system wspomagania decyzji dla systemów monitorowania procesów, urządzeń i zagrożeń, , p. 199-213. See in 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. See in PBN