Dominik Slezak

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 85

Top Venues

Publications

Hiroshi Sakai, Michinori Nakata, Dominik Slezak, Junzo Watada
Consideration of Detecting Data and Functional Dependency in Tabular Data with Missing Values by the Obtained Rules. IJCRS (1) (2024)
Soma Dutta, Dominik Slezak
Parametrized γ-Decision Valuation for Variable Precision Rough Set Model. IJCRS (1) (2024)
Soma Dutta, Dominik Slezak
Nature of decision valuations in elimination of redundant attributes. Int. J. Approx. Reason. 165 (2024)
Piotr Wasilewski, Dominik Slezak
On Tolerance-Based Rough Set Operators and Their Covering Generalizations. IJCRS (1) (2024)
Manolis Terrovitis, Dominik Slezak
Data Infrastructures and Management - Introduction to the Special Theme. ERCIM News 2023 (133) (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)
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)
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)
JingTao Yao, Jesús Medina, Yan Zhang, Dominik Slezak
Formal concept analysis, rough sets, and three-way decisions. Int. J. Approx. Reason. 140 (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)
Maciej Bartoszuk, Jaroslaw Litwin, Mateusz Wnuk, Dominik Slezak
Tensor-based Approach to Big Data Processing and Machine Learning. Big Data (2022)
Daniel Kaluza, Andrzej Janusz, Dominik Slezak
EVEAL - Expected Variance Estimation for Active Learning. Big Data (2022)
Mateusz Przyborowski, Dominik Slezak
Approximation of the expectation-maximization algorithm for Gaussian mixture models on big data. Big Data (2022)
Andrzej Janusz, Dominik Slezak
KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions. FedCSIS (2022)
Andrzej Skowron, Dominik Slezak
Rough Sets Turn 40: From Information Systems to Intelligent Systems. FedCSIS (2022)
Mateusz Przyborowski, Mateusz Pabis, Andrzej Janusz, Dominik Slezak
Schema matching using Gaussian mixture models with Wasserstein distance. CoRR (2021)
Dominik Slezak, Tzung-Pei Hong, Leon S. L. Wang
Preface: Information Granulation in Data Science and Scalable Computing. Fundam. Informaticae 182 (2) (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)
Dominik Slezak, Agnieszka Chadzynska-Krasowska
Approximate Decision Tree Induction over Approximately Engineered Data Features. IJCRS (2020)
Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, Dominik Slezak
Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. FedCSIS (2020)
Dominik Slezak
Introducing AI/ML Components into Software Systems. ICSOFT (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)
María José Benítez-Caballero, Jesús Medina, Eloísa Ramírez-Poussa, Dominik Slezak
A computational procedure for variable selection preserving different initial conditions. Int. J. Comput. Math. 97 (1-2) (2020)
Mateusz Wnuk, Sebastian Stawicki, Dominik Slezak
Reinventing Infobright's Concept of Rough Calculations on Granulated Tables for the Purpose of Accelerating Modern Data Processing Frameworks. IEEE BigData (2020)
Dominik Slezak, Sebastian Stawicki
The Problem of Finding the Simplest Classifier Ensemble is NP-Hard - A Rough-Set-Inspired Formulation Based on Decision Bireducts. IJCRS (2020)
Joanna Henzel, Andrzej Janusz, Marek Sikora, Dominik Slezak
On Positive-Correlation-Promoting Reducts. IJCRS (2020)
Eftim Zdravevski, Petre Lameski, Cas Apanowicz, Dominik Slezak
From Big Data to business analytics: The case study of churn prediction. Appl. Soft Comput. 90 (2020)
Maciej Swiechowski, Dominik Slezak
Introducing LogDL - Log Description Language for Insights from Complex Data. FedCSIS (2020)
Marcin Michalak, Roman Jaksik, Dominik Slezak
Heuristic Search of Exact Biclusters in Binary Data. Int. J. Appl. Math. Comput. Sci. 30 (1) (2020)
Dominik Slezak, Dobroslav Kovác, Mauro Iacono, Jacek M. Czerniak
Research on Heuristic Optimization and Operations in IoT. J. Univers. Comput. Sci. 26 (11) (2020)
María José Benítez-Caballero, Jesús Medina, Eloísa Ramírez-Poussa, Dominik Slezak
Rough-set-driven approach for attribute reduction in fuzzy formal concept analysis. Fuzzy Sets Syst. 391 (2020)
Marek Grzegorowski, Dominik Slezak
On resilient feature selection: Computational foundations of r-C-reducts. Inf. Sci. 499 (2019)
Marcin Michalak, Dominik Slezak
On Boolean Representation of Continuous Data Biclustering. Fundam. Informaticae 167 (3) (2019)
Andrzej Janusz, Daniel Kaluza, Agnieszka Chadzynska-Krasowska, Bartek Konarski, Joel Holland, Dominik Slezak
IEEE BigData 2019 Cup: Suspicious Network Event Recognition. IEEE BigData (2019)
Joanna Fedorowicz, Lukasz Sosnowski, Dominik Slezak, Iwona Szymusik, Wojciech Chaber, Lukasz Milobedzki, Tomasz Penza, Jadwiga Sosnowska, Katarzyna Wójcicka, Karol Zaleski
Multivariate Ovulation Window Detection at OvuFriend. IJCRS (2019)
Eftim Zdravevski, Cas Apanowicz, Krzysztof Stencel, Dominik Slezak
Scalable Cloud-based ETL for Self-serving Analytics. ICDM (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)
Maciej Swiechowski, Dominik Slezak
Granular Games in Real-Time Environment. ICDM Workshops (2018)
Dominik Slezak
Toward Approximate Intelligence: Approximate Query Engines & Approximate Data Exploration. WWW (Companion Volume) (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)
Marcin Michalak, Dominik Slezak
Boolean Representation for Exact Biclustering. Fundam. Informaticae 161 (3) (2018)
Dominik Slezak, Janusz Borkowski, Agnieszka Chadzynska-Krasowska
Ranking Mutual Information Dependencies in a Summary-based Approximate Analytics Framework. HPCS (2018)
Lukasz Sosnowski, Wojciech Chaber, Lukasz Milobedzki, Tomasz Penza, Jadwiga Sosnowska, Karol Zaleski, Joanna Fedorowicz, Iwona Szymusik, Dominik Slezak
Similarity-based Detection of Fertile Days at OvuFriend. IEEE BigData (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)
Dominik Slezak, Soma Dutta
Dynamic and Discernibility Characteristics of Different Attribute Reduction Criteria. IJCSR (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)
Andrzej Janusz, Lukasz Grad, Dominik Slezak
Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games. ICDM Workshops (2018)
Maciej Swiechowski, Dominik Slezak
Grail: A Framework for Adaptive and Believable AI in Video Games. WI (2018)
María José Benítez-Caballero, Jesús Medina, Eloísa Ramírez-Poussa, Dominik Slezak
Bireducts with tolerance relations. Inf. Sci. 435 (2018)
Dominik Slezak, Rick Glick, Pawel Betlinski, Piotr Synak
A new approximate query engine based on intelligent capture and fast transformations of granulated data summaries. J. Intell. Inf. Syst. 50 (2) (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)
Lukasz Sosnowski, Dominik Slezak
Learning in Comparator Networks. EUSFLAT/IWIFSGN (3) (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)
Agnieszka Chadzynska-Krasowska, Sebastian Stawicki, Dominik Slezak
A Metadata Diagnostic Framework for a New Approximate Query Engine Working with Granulated Data Summaries. IJCRS (1) (2017)
Agnieszka Chadzynska-Krasowska, Pawel Betlinski, Dominik Slezak
Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection. ISMIS (2017)
Dominik Slezak, Agnieszka Chadzynska-Krasowska, Joel Holland, Piotr Synak, Rick Glick, Marcin Perkowski
Scalable cyber-security analytics with a new summary-based approximate query engine. IEEE BigData (2017)
Piotr Prokopowicz, Dominik Slezak
Ordered Fuzzy Numbers: Sources and Intuitions. Theory and Applications of Ordered Fuzzy Numbers (2017)
Piotr Prokopowicz, Dominik Slezak
Ordered Fuzzy Numbers: Definitions and Operations. Theory and Applications of Ordered Fuzzy Numbers (2017)
Davide Ciucci, Dominik Slezak, Marcin Wolski
Preface. Fundam. Informaticae 148 (1-2) (2016)
Andrzej Janusz, Dominik Slezak, Marek Sikora, Lukasz Wróbel
Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. FedCSIS (2016)
Heng-Ru Zhang, Fan Min, Dominik Slezak, Bing Shi
Cost-sensitive regression-based recommender system. ICMLC (2015)
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)
Marcin S. Szczuka, Andrzej Jankowski, Andrzej Skowron, Dominik Slezak
Building Granular Systems - from Concepts to Applications. RSFDGrC (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)
Dominik Slezak, Benjamin C. M. Fung, William Kwok-Wai Cheung
Preface. Fundam. Informaticae 137 (2) (2015)
Lukasz Sosnowski, Dominik Slezak
Fuzzy Set Interpretation of Comparator Networks. PReMI (2015)
Lukasz Sosnowski, Marcin S. Szczuka, Dominik Slezak
Granular modeling with fuzzy comparators. IEEE BigData (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)
Dominik Slezak
On Generalized Decision Functions: Reducts, Networks and Ensembles. RSFDGrC (2015)
Dominik Slezak, Andrzej Skowron
Preface. Nat. Comput. 14 (4) (2015)
Mo Jose Benitez, Jesús Medina, Dominik Slezak
adelta;-information reducts and bireducts. IFSA-EUSFLAT (2015)
Sebastian Widz, Dominik Slezak
Attribute Subset Quality Functions over a Universe of Weighted Objects. RSEISP (2014)
Jerzy Stefanowski, Alfredo Cuzzocrea, Dominik Slezak
Processing and mining complex data streams. Inf. Sci. 285 (2014)
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, 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, Dominik Slezak
Random Probes in Computation and Assessment of Approximate Reducts. RSEISP (2014)
Dominik Slezak
Special section on applications of intelligent data and knowledge processing technologies - Preface. Future Gener. Comput. Syst. 33 (2014)
Piotr Synak, Dominik Slezak
Complexity aspects of multi-machine aggregations in a rough-granular computation framework. GrC (2014)
Sebastian Widz, Dominik Slezak
Granular Attribute Selection: A Case Study of Rough Set Approach to MRI Segmentation. PReMI (2013)
Marcin S. Szczuka, Dominik Slezak
How deep data becomes big data. IFSA/NAFIPS (2013)
Lukasz Sosnowski, Dominik Slezak
How to Design a Network of Comparators. Brain and Health Informatics (2013)
Sergei O. Kuznetsov, Dominik Slezak
Data mining and soft computing. Int. J. Gen. Syst. 42 (6) (2013)
Dominik Slezak, Marcin Kowalski
Intelligent granulation of machine-generated data. IFSA/NAFIPS (2013)
Tsau Young Lin, Guilong Liu, Mihir K. Chakraborty, Dominik Slezak
From topology to anti-reflexive topology. FUZZ-IEEE (2013)
Sebastian Stawicki, Dominik Slezak
Recent Advances in Decision Bireducts: Complexity, Heuristics and Streams. RSKT (2013)

Dominik Slezak.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Dominik Slezak