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ORCIDDominik Slezak
- > Home > Persons > Dominik Slezak
Publications
- 2023
[j48]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: 110285 (2023)- [j47]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: 119354 (2023) - [c151]Mateusz Wnuk, Jan Dziuba, Andrzej Janusz, Dominik Slezak:
IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays. IEEE Big Data 2023: 6084-6091 - [c150]Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. ECAI 2023: 1207-1214 - [c149]Andrzej Janusz, Dominik Slezak:
Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report. ICME Workshops 2023: 1-5 - [c148]Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning. IJCRS 2023: 479-494 - [i5]Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. CoRR abs/2307.14380 (2023) - [i3]Andzelika Zalewska-Küpçü, Andrzej Janusz, Dominik Slezak:
Diagnostic Explainability by BrightBox. ERCIM News 2023(134) (2023) - 2022
- [j45]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: 193-210 (2022) - [c146]Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
EVEAL - Expected Variance Estimation for Active Learning. IEEE Big Data 2022: 6222-6231 - [c144]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. IEEE Big Data 2022: 6471-6480 - [c142]Andrzej Janusz, Dominik Slezak:
KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions. FedCSIS 2022: 393-398 - 2021
- [j44]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: 100203 (2021) - [c141]Maciej Matraszek, Andrzej Janusz, Maciej Swiechowski, Dominik Slezak:
Predicting Victories in Video Games - IEEE BigData 2021 Cup Report. IEEE BigData 2021: 5664-5671 - [i2]Mateusz Przyborowski, Mateusz Pabis, Andrzej Janusz, Dominik Slezak:
Schema matching using Gaussian mixture models with Wasserstein distance. CoRR abs/2111.14244 (2021) - 2020
- [c139]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: 5519-5526 - [c138]Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, Dominik Slezak:
Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. FedCSIS 2020: 77-80 - [c134]Joanna Henzel, Andrzej Janusz, Marek Sikora, Dominik Slezak:
On Positive-Correlation-Promoting Reducts. IJCRS 2020: 213-221 - 2019
- [c132]Andrzej Janusz, Daniel Kaluza, Agnieszka Chadzynska-Krasowska, Bartek Konarski, Joel Holland, Dominik Slezak:
IEEE BigData 2019 Cup: Suspicious Network Event Recognition. IEEE BigData 2019: 5881-5887 - 2018
- [j33]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. 451-452: 112-133 (2018) - [c129]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: 2657-2662 - [c127]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: 189-192 - [c126]Andrzej Janusz, Lukasz Grad, Dominik Slezak:
Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games. ICDM Workshops 2018: 422-429 - [c123]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: 503-514 - [c121]Andrzej Janusz, Dominik Slezak:
Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches. SMC 2018: 3421-3426 - [c120]Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Krzysztof Stencel:
SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players. WI 2018: 754-757 - 2017
- [j31]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: 83-94 (2017) - [j30]Sebastian Stawicki, Dominik Slezak, Andrzej Janusz, Sebastian Widz:
Decision bireducts and decision reducts - a comparison. Int. J. Approx. Reason. 84: 75-109 (2017) - [c117]Marek Grzegorowski, Andrzej Janusz, Dominik Slezak, Marcin S. Szczuka:
On the role of feature space granulation in feature selection processes. IEEE BigData 2017: 1806-1815 - [c111]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: 697-707 - [c110]Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Sebastian Stawicki:
Toward Interactive Attribute Selection with Infolattices - A Position Paper. IJCRS (2) 2017: 526-539 - 2016
- [c108]Andrzej Janusz, Dominik Slezak, Marek Sikora, Lukasz Wróbel:
Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. FedCSIS 2016: 205-211 - [e38]Víctor Flores, Fernando A. C. Gomide, Andrzej Janusz, Claudio Meneses, Duoqian Miao, Georg Peters, Dominik Slezak, Guoyin Wang, Richard Weber, Yiyu Yao:
Rough Sets - International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7-11, 2016, Proceedings. Lecture Notes in Computer Science 9920, 2016, ISBN 978-3-319-47159-4 [contents] - 2015
- [c106]Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Mariusz Rosiak:
Knowledge Pit - A Data Challenge Platform. CS&P 2015: 191-195 - [c104]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: 367-373 - [c102]Andrzej Janusz, Dominik Slezak:
Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold. ISMIS 2015: 19-28 - [c98]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: 429-438 - [c97]Andrzej Janusz, Sebastian Stawicki, Marcin S. Szczuka, Dominik Slezak:
Rough Set Tools for Practical Data Exploration. RSKT 2015: 77-86 - 2014
- [j26]Andrzej Janusz, Dominik Slezak:
Rough Set Methods for Attribute Clustering and Selection. Appl. Artif. Intell. 28(3): 220-242 (2014) - [j23]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: 68-89 (2014) - [c96]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: 345-354 - [c94]Andrzej Janusz, Dominik Slezak:
Random Probes in Computation and Assessment of Approximate Reducts. RSEISP 2014: 53-64 - 2012
- [j18]Andrzej Janusz, Dominik Slezak, Hung Son Nguyen:
Unsupervised Similarity Learning from Textual Data. Fundam. Informaticae 119(3-4): 319-336 (2012) - [c80]Andrzej Janusz, Dominik Slezak:
Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data. FedCSIS 2012: 295-302 - [c74]Andrzej Janusz, Hung Son Nguyen, Dominik Slezak, Sebastian Stawicki, Adam Krasuski:
JRS'2012 Data Mining Competition: Topical Classification of Biomedical Research Papers. RSCTC 2012: 422-431 - 2011
- [c73]Dominik Slezak, Andrzej Janusz:
Ensembles of Bireducts: Towards Robust Classification and Simple Representation. FGIT 2011: 64-77 - [c66]Dominik Slezak, Andrzej Janusz, Wojciech Swieboda, Hung Son Nguyen, Jan G. Bazan, Andrzej Skowron:
Semantic Analytics of PubMed Content. USAB 2011: 63-74
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