Andrzej Janusz

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 43

Top Topics

Grand Challenge

Top Venues

Publications

Marek Grzegorowski, Andrzej Janusz, Grzegorz Sliwa, Lukasz Marcinowski, Andrzej Skowron
Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction. IJCRS (2023)
Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Krzysztof Stencel
A practical study of methods for deriving insightful attribute importance rankings using decision bireducts. Inf. Sci. 645 (2023)
Andrzej Janusz, Andzelika Zalewska, Lukasz Wawrowski, Piotr Biczyk, Jan Ludziejewski, Marek Sikora, Dominik Slezak
BrightBox - A rough set based technology for diagnosing mistakes of machine learning models. Appl. Soft Comput. 141 (2023)
Michal Czerwinski, Marcin Michalak, Piotr Biczyk, Blazej Adamczyk, Daniel Iwanicki, Iwona Kostorz, Maksym Brzeczek, Andrzej Janusz, Marek Hermansa, Lukasz Wawrowski, Artur Kozlowski
Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results. FedCSIS (2023)
Andrzej Janusz, Dominik Slezak
Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report. ICME Workshops (2023)
Daniel Kaluza, Andrzej Janusz, Dominik Slezak
Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. ECAI (2023)
Daniel Kaluza, Andrzej Janusz, Dominik Slezak
On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning. IJCRS (2023)
Mateusz Wnuk, Jan Dziuba, Andrzej Janusz, Dominik Slezak
IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays. BigData (2023)
Andzelika Zalewska-Küpçü, Andrzej Janusz, Dominik Slezak
Diagnostic Explainability by BrightBox. ERCIM News 2023 (134) (2023)
Andrzej Janusz, Sebastian Stawicki
Reducts in Rough Sets: Algorithmic Insights, Open Source Libraries and Applications (Tutorial - Extended Abstract). FedCSIS (2023)
Daniel Kaluza, Andrzej Janusz, Dominik Slezak
Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. CoRR (2023)
Andrzej Janusz, Daniel Kaluza, Maciej Matraszek, Lukasz Grad, Maciej Swiechowski, Dominik Slezak
Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players. Inf. Sci. 617 (2022)
Marcin S. Szczuka, Andrzej Janusz, Boguslaw Cyganek, Jakub Grabek, Lukasz Przebinda, Andzelika Zalewska, Andrzej Bukala, Dominik Slezak
IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images. Big Data (2022)
Marek Grzegorowski, Andrzej Janusz, Jaroslaw Litwin, Lukasz Marcinowski
Data-Driven Resilient Supply Management Supported by Demand Forecasting. ACIIDS (Companion) (2022)
Daniel Kaluza, Andrzej Janusz, Dominik Slezak
EVEAL - Expected Variance Estimation for Active Learning. Big Data (2022)
Marek Grzegorowski, Andrzej Janusz, Stanislaw Lazewski, Maciej Swiechowski, Monika Jankowska
Prescriptive Analytics for Optimization of FMCG Delivery Plans. IPMU (2) (2022)
Andrzej Janusz, Antoni Jamiolkowski, Michal Okulewicz
Predicting the Costs of Forwarding Contracts: Analysis of Data Mining Competition Results. FedCSIS (2022)
Andrzej Janusz, Dominik Slezak
KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions. FedCSIS (2022)
Mateusz Przyborowski, Mateusz Pabis, Andrzej Janusz, Dominik Slezak
Schema matching using Gaussian mixture models with Wasserstein distance. CoRR (2021)
Maciej Matraszek, Andrzej Janusz, Maciej Swiechowski, Dominik Slezak
Predicting Victories in Video Games - IEEE BigData 2021 Cup Report. IEEE BigData (2021)
Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Slezak
Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. Big Data Res. 25 (2021)
Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, Dominik Slezak
Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. FedCSIS (2020)
Andrzej Janusz, Guohua Hao, Daniel Kaluza, Tony Li, Robert Wojciechowski, Dominik Slezak
Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results. IEEE BigData (2020)
Joanna Henzel, Andrzej Janusz, Marek Sikora, Dominik Slezak
On Positive-Correlation-Promoting Reducts. IJCRS (2020)
Andrzej Janusz, Daniel Kaluza, Agnieszka Chadzynska-Krasowska, Bartek Konarski, Joel Holland, Dominik Slezak
IEEE BigData 2019 Cup: Suspicious Network Event Recognition. IEEE BigData (2019)
Andrzej Janusz, Lukasz Grad, Marek Grzegorowski
Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction. FedCSIS (2019)
Mateusz Przyborowski, Tomasz Tajmajer, Lukasz Grad, Andrzej Janusz, Piotr Biczyk, Dominik Slezak
Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images. IEEE BigData (2018)
Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Michal Kozielski, Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki, Lukasz 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. Inf. Sci. (2018)
Maciej Swiechowski, Tomasz Tajmajer, Andrzej Janusz
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms. CoRR (2018)
Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski, Lukasz Grad, Jacek Puczniewski, Dominik Slezak
Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition. FedCSIS (2018)
Andrzej Janusz, Sebastian Stawicki, Michal Drewniak, Krzysztof Ciebiera, Dominik Slezak, Krzysztof Stencel
How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics. IPMU (2) (2018)
Maciej Swiechowski, Tomasz Tajmajer, Andrzej Janusz
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms. CIG (2018)
Andrzej Janusz, Lukasz Grad, Dominik Slezak
Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games. ICDM Workshops (2018)
Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Krzysztof Stencel
SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players. WI (2018)
Andrzej Janusz, Dominik Slezak
Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches. SMC (2018)
Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski
Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge. FedCSIS (2017)
Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Sebastian Stawicki
Toward Interactive Attribute Selection with Infolattices - A Position Paper. IJCRS (2) (2017)
Mathurin Aché, Andrzej Janusz, Kamil Zbikowski, Dominik Slezak, Marzena Kryszkiewicz, Henryk Rybinski, Piotr Gawrysiak
ISMIS 2017 Data Mining Competition: Trading Based on Recommendations. ISMIS (2017)
Marek Grzegorowski, Andrzej Janusz, Dominik Slezak, Marcin S. Szczuka
On the role of feature space granulation in feature selection processes. IEEE BigData (2017)
Andrzej Janusz, Marek Grzegorowski, Marcin Michalak, Lukasz Wróbel, Marek Sikora, Dominik Slezak
Predicting seismic events in coal mines based on underground sensor measurements. Eng. Appl. Artif. Intell. 64 (2017)
Sebastian Stawicki, Dominik Slezak, Andrzej Janusz, Sebastian Widz
Decision bireducts and decision reducts - a comparison. Int. J. Approx. Reason. 84 (2017)
Andrzej Janusz, Maciej Swiechowski, Tomasz Tajmajer
Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge. CoRR (2017)
Andrzej Janusz, Dominik Slezak, Marek Sikora, Lukasz Wróbel
Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. FedCSIS (2016)
Andrzej Janusz, Dominik Slezak
Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold. ISMIS (2015)
Andrzej Janusz, Sebastian Stawicki, Marcin S. Szczuka, Dominik Slezak
Rough Set Tools for Practical Data Exploration. RSKT (2015)
Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Mariusz Rosiak
Knowledge Pit - A Data Challenge Platform. CS&P (2015)
Andrzej Janusz, Marek Sikora, Lukasz Wróbel, Sebastian Stawicki, Marek Grzegorowski, Piotr Wojtas, Dominik Slezak
Mining Data from Coal Mines: IJCRS'15 Data Challenge. RSFDGrC (2015)
Michal Meina, Andrzej Janusz, Krzysztof Rykaczewski, Dominik Slezak, Bartosz Celmer, Adam Krasuski
Tagging Firefighter Activities at the emergency scene: Summary of AAIA'15 data mining competition at knowledge pit. FedCSIS (2015)
Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Inf. Sci. 287 (2014)
Andrzej Janusz
Algorithms for Similarity Relation Learning from High Dimensional Data. Trans. Rough Sets 17 (2014)
Andrzej Janusz, Adam Krasuski, Sebastian Stawicki, Mariusz Rosiak, Dominik Slezak, Hung Son Nguyen
Key Risk Factors for Polish State Fire Service: a Data Mining Competition at Knowledge Pit. FedCSIS (2014)
Andrzej Janusz, Dominik Slezak
Rough Set Methods for Attribute Clustering and Selection. Appl. Artif. Intell. 28 (3) (2014)
Andrzej Janusz, Marcin S. Szczuka
Assessment of data granulations in context of feature extraction problem. GrC (2014)
Lukasz Sosnowski, Andrzej Pietruszka, Adam Krasuski, Andrzej Janusz
A Resemblance Based Approach for Recognition of Risks at a Fire Ground. AMT (2014)
Andrzej Janusz, Dominik Slezak
Random Probes in Computation and Assessment of Approximate Reducts. RSEISP (2014)
Andrzej Janusz, Sebastian Stawicki, Hung Son Nguyen
Adaptive Learning for Improving Semantic Tagging of Scientific Articles. FedCSIS (2014)
Wojciech Swieboda, Adam Krasuski, Hung Son Nguyen, Andrzej Janusz
Interactive Method for Semantic Document Indexing Based on Explicit Semantic Analysis. Fundam. Informaticae 132 (3) (2014)
Adam Krasuski, Andrzej Janusz
Semantic Tagging of Heterogeneous Data: Labeling Fire & Rescue Incidents with Threats. FedCSIS (2013)
Andrzej Janusz, Adam Krasuski, Marcin S. Szczuka
Improving Semantic Clustering of EWID Reports by Using Heterogeneous Data Types. RSFDGrC (2013)
Marcin S. Szczuka, Andrzej Janusz
Semantic Clustering of Scientific Articles Using Explicit Semantic Analysis. Trans. Rough Sets 16 (2013)
Andrzej Janusz
Dynamic Rule-Based Similarity Model for DNA Microarray Data. Trans. Rough Sets 15 (2012)
Andrzej Janusz, Dominik Slezak
Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data. FedCSIS (2012)
Andrzej Janusz, Wojciech Swieboda, Adam Krasuski, Hung Son Nguyen
Interactive Document Indexing Method Based on Explicit Semantic Analysis. RSCTC (2012)
Andrzej Janusz
Combining multiple predictive models using genetic algorithms. Intell. Data Anal. 16 (5) (2012)
Andrzej Janusz, Hung Son Nguyen, Dominik Slezak, Sebastian Stawicki, Adam Krasuski
JRS'2012 Data Mining Competition: Topical Classification of Biomedical Research Papers. RSCTC (2012)
Andrzej Janusz, Dominik Slezak, Hung Son Nguyen
Unsupervised Similarity Learning from Textual Data. Fundam. Informaticae 119 (3-4) (2012)
Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen
An Ensemble Approach to Multi-label Classification of Textual Data. ADMA (2012)
Dominik Slezak, Andrzej Janusz, Wojciech Swieboda, Hung Son Nguyen, Jan G. Bazan, Andrzej Skowron
Semantic Analytics of PubMed Content. USAB (2011)
Marcin S. Szczuka, Andrzej Janusz, Kamil Herba
Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia. RSKT (2011)
Dominik Slezak, Andrzej Janusz
Ensembles of Bireducts: Towards Robust Classification and Simple Representation. FGIT (2011)
Andrzej Janusz, Sebastian Stawicki
Applications of Approximate Reducts to the Feature Selection Problem. RSKT (2011)
Andrzej Janusz
Discovering Rules-Based Similarity in Microarray Data. IPMU (2010)
Marcin Wojnarski, Andrzej Janusz, Hung Son Nguyen, Jan G. Bazan, Chuanjiang Luo, Ze Chen, Feng Hu, Guoyin Wang, Lihe Guan, Huan Luo
RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment. RSCTC (2010)
Andrzej Janusz
Combining Multiple Classification or Regression Models Using Genetic Algorithms. RSCTC (2010)
Andrzej Janusz
Utilization of Dynamic Reducts to Improve Performance of the Rule-Based Similarity Model for Highly-Dimensional Data. Web Intelligence/IAT Workshops (2010)
Andrzej Janusz
Rule-Based Similarity for Classification. Web Intelligence/IAT Workshops (2009)
Andrzej Janusz
Similarity Relation in Classification Problems. RSCTC (2008)