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ORCIDDominik Slezak
Dominik Ślęzak
Person information
- unicode name: Dominik Ślęzak
- affiliation: University of Warsaw, Institute of Informatics, Poland
- affiliation: QED Software Sp. z o.o., Warsaw, Poland
- affiliation (former): University of Warsaw, Institute of Mathematics, Poland
- affiliation (former): Infobright Inc., Warsaw, Poland
- affiliation (former): Infobright Inc., Toronto, ON, Canada
- affiliation (former): University of Regina, Sk, Canada
- affiliation (former): Polish-Japanese Academy of Information Technology, Warsaw, Poland
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2020 – today
- 2025
[j50]Hiroshi Sakai, Michinori Nakata, Dominik Slezak, Junzo Watada:
Rule generation in Rough set Non-deterministic Information Analysis (RNIA) and some applications of the obtained rules. Appl. Soft Comput. 172: 112842 (2025)- 2024
- [j49]Soma Dutta
, Dominik Slezak:
Nature of decision valuations in elimination of redundant attributes. Int. J. Approx. Reason. 165: 109091 (2024) - [c158]Dominik Slezak, Andrzej Janusz, Maciej Swiechowski, Agnieszka Chadzynska-Krasowska, Jacek Kaminski:
Do Data Scientists Dream About Their Skills' Assessment? - Transforming a Competition Platform Into an Assessment Platform. IEEE Big Data 2024: 8403-8414 - [c157]Jan Zysko, Maciej Swiechowski, Sebastian Stawicki, Katarzyna Jagiela, Andrzej Janusz, Dominik Slezak:
IEEE Big Data Cup 2024 Report: Predicting Chess Puzzle Difficulty at KnowledgePit.ai. IEEE Big Data 2024: 8423-8429 - [c156]Alina Powala, Dominik Slezak:
QEDrants - Data Quality Quadrants for Business Users and Decision-Makers. FedCSIS (Position Papers) 2024: 79-88 - [c155]Aleksandar M. Rakicevic, Pavle D. Milosevic, Ivana T. Dragovic, Ana M. Poledica, Milica M. Zukanovic, Andrzej Janusz, Dominik Slezak:
Predicting Stock Trends Using Common Financial Indicators: A Summary of FedCSIS 2024 Data Science Challenge Held on KnowledgePit.ai Platform. FedCSIS 2024: 731-737 - [c154]Piotr Wasilewski, Dominik Slezak:
On Tolerance-Based Rough Set Operators and Their Covering Generalizations. IJCRS (1) 2024: 18-33 - [c153]Soma Dutta, Dominik Slezak:
Parametrized γ-Decision Valuation for Variable Precision Rough Set Model. IJCRS (1) 2024: 34-49 - [c152]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: 120-133 - [e60]Marek Bolanowski, Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Proceedings of the 19th Conference on Computer Science and Intelligence Systems, FedCSIS 2024, Belgrade, Serbia, September 8-11, 2024. Annals of Computer Science and Information Systems 39, 2024, ISBN 978-83-969601-6-0 [contents] - [e59]Marek Bolanowski, Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Position Papers of the 19th Conference on Computer Science and Intelligence Systems, FedCSIS 2024, Belgrade, Serbia, September 8-11, 2024. Annals of Computer Science and Information Systems 40, 2024, ISBN 978-83-969601-9-1 [contents] - [e58]Marek Bolanowski, Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Communication Papers of the 19th Conference on Computer Science and Intelligence Systems, FedCSIS 2024, Belgrade, Serbia, September 8-11, 2024. Annals of Computer Science and Information Systems 41, 2024, ISBN 978-83-973291-0-2 [contents] - [e57]Mengjun Hu, Chris Cornelis, Yan Zhang, Pawan Lingras, Dominik Slezak, JingTao Yao:
Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14839, Springer 2024, ISBN 978-3-031-65664-4 [contents] - [e56]Mengjun Hu, Chris Cornelis, Yan Zhang, Pawan Lingras, Dominik Slezak, JingTao Yao:
Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14840, Springer 2024, ISBN 978-3-031-65667-5 [contents] - 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 - [e55]Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal:
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. IEEE 2023, ISBN 979-8-3503-2445-7 [contents] - [e54]Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023. Annals of Computer Science and Information Systems 35, 2023, ISBN 978-83-967447-8-4 [contents] - [e53]Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Position Papers of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023. Annals of Computer Science and Information Systems 36, 2023, ISBN 978-83-969601-1-5 [contents] - [e52]Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Communication Papers of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023. Annals of Computer Science and Information Systems 37, 2023, ISBN 978-83-969601-3-9 [contents] - [e51]Andrea Campagner, Oliver Urs Lenz, Shuyin Xia, Dominik Slezak, Jaroslaw Was, JingTao Yao:
Rough Sets - International Joint Conference, IJCRS 2023, Krakow, Poland, October 5-8, 2023, Proceedings. Lecture Notes in Computer Science 14481, Springer 2023, ISBN 978-3-031-50958-2 [contents] - [i5]Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. CoRR abs/2307.14380 (2023) - [i4]Manolis Terrovitis, Dominik Slezak:
Data Infrastructures and Management - Introduction to the Special Theme. ERCIM News 2023(133) (2023) - [i3]Andzelika Zalewska-Küpçü, Andrzej Janusz, Dominik Slezak:
Diagnostic Explainability by BrightBox. ERCIM News 2023(134) (2023) - 2022
- [j46]JingTao Yao, Jesús Medina, Yan Zhang, Dominik Slezak:
Formal concept analysis, rough sets, and three-way decisions. Int. J. Approx. Reason. 140: 1-6 (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) - [c147]Maciej Bartoszuk, Jaroslaw Litwin, Mateusz Wnuk, Dominik Slezak:
Tensor-based Approach to Big Data Processing and Machine Learning. IEEE Big Data 2022: 6188-6194 - [c146]Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
EVEAL - Expected Variance Estimation for Active Learning. IEEE Big Data 2022: 6222-6231 - [c145]Mateusz Przyborowski, Dominik Slezak:
Approximation of the expectation-maximization algorithm for Gaussian mixture models on big data. IEEE Big Data 2022: 6256-6260 - [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 - [c143]Andrzej Skowron, Dominik Slezak:
Rough Sets Turn 40: From Information Systems to Intelligent Systems. FedCSIS 2022: 23-34 - [c142]Andrzej Janusz, Dominik Slezak:
KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions. FedCSIS 2022: 393-398 - [e50]Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, FedCSIS 2022, Sofia, Bulgaria, September 4-7, 2022. Annals of Computer Science and Information Systems 30, 2022, ISBN 978-83-962423-9-6 [contents] - [e49]Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Position Papers of the 17th Conference on Computer Science and Intelligence Systems, FedCSIS 2022, Sofia, Bulgaria, September 4-7, 2022. Annals of Computer Science and Information Systems 31, 2022, ISBN 978-83-965897-2-9 [contents] - [e48]Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Communication Papers of the 17th Conference on Computer Science and Intelligence Systems, FedCSIS 2022, Sofia, Bulgaria, September 4-7, 2022. Annals of Computer Science and Information Systems 32, 2022, ISBN 978-83-965897-4-3 [contents] - [e47]Davide Ciucci, Inés Couso, Jesús Medina, Dominik Slezak, Davide Petturiti, Bernadette Bouchon-Meunier, Ronald R. Yager:
Information Processing and Management of Uncertainty in Knowledge-Based Systems - 19th International Conference, IPMU 2022, Milan, Italy, July 11-15, 2022, Proceedings, Part I. Communications in Computer and Information Science 1601, Springer 2022, ISBN 978-3-031-08970-1 [contents] - [e46]Davide Ciucci, Inés Couso, Jesús Medina, Dominik Slezak, Davide Petturiti, Bernadette Bouchon-Meunier, Ronald R. Yager:
Information Processing and Management of Uncertainty in Knowledge-Based Systems - 19th International Conference, IPMU 2022, Milan, Italy, July 11-15, 2022, Proceedings, Part II. Communications in Computer and Information Science 1602, Springer 2022, ISBN 978-3-031-08973-2 [contents] - 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) - [j43]Dominik Slezak, Tzung-Pei Hong, Leon S. L. Wang:
Preface: Information Granulation in Data Science and Scalable Computing. Fundam. Informaticae 182(2) (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 - [e45]Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, Online, September 2-5, 2021. Annals of Computer Science and Information Systems 25, 2021, ISBN 978-83-959183-6-0 [contents] - [e44]Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Position and Communication Papers of the 16th Conference on Computer Science and Intelligence Systems, Online, September 2-5, 2021. Annals of Computer Science and Information Systems 26, 2021, ISBN 978-83-959183-9-1 [contents] - [i2]Mateusz Przyborowski, Mateusz Pabis, Andrzej Janusz, Dominik Slezak:
Schema matching using Gaussian mixture models with Wasserstein distance. CoRR abs/2111.14244 (2021) - 2020
- [j42]Marcin Michalak, Roman Jaksik, Dominik Slezak:
Heuristic Search of Exact Biclusters in Binary Data. Int. J. Appl. Math. Comput. Sci. 30(1): 161-171 (2020) - [j41]Eftim Zdravevski, Petre Lameski, Cas Apanowicz, Dominik Slezak:
From Big Data to business analytics: The case study of churn prediction. Appl. Soft Comput. 90: 106164 (2020) - [j40]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: 117-138 (2020) - [j39]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): 387-404 (2020) - [j38]Dominik Slezak, Dobroslav Kovác, Mauro Iacono, Jacek M. Czerniak:
Research on Heuristic Optimization and Operations in IoT. J. Univers. Comput. Sci. 26(11): 1364-1365 (2020) - [c140]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: 5405-5412 - [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 - [c137]Maciej Swiechowski, Dominik Slezak:
Introducing LogDL - Log Description Language for Insights from Complex Data. FedCSIS 2020: 145-154 - [c136]Dominik Slezak:
Introducing AI/ML Components into Software Systems. ICSOFT 2020: 5 - [c135]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: 204-212 - [c134]Joanna Henzel, Andrzej Janusz, Marek Sikora, Dominik Slezak:
On Positive-Correlation-Promoting Reducts. IJCRS 2020: 213-221 - [c133]Dominik Slezak, Agnieszka Chadzynska-Krasowska:
Approximate Decision Tree Induction over Approximately Engineered Data Features. IJCRS 2020: 376-384
2010 – 2019
- 2019
- [j37]Marcin Michalak, Dominik Slezak:
On Boolean Representation of Continuous Data Biclustering. Fundam. Informaticae 167(3): 193-217 (2019) - [j36]Marek Grzegorowski, Dominik Slezak:
On resilient feature selection: Computational foundations of r-C-reducts. Inf. Sci. 499: 25-44 (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 - [c131]Eftim Zdravevski, Cas Apanowicz, Krzysztof Stencel, Dominik Slezak:
Scalable Cloud-based ETL for Self-serving Analytics. ICDM 2019: 317-331 - [c130]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: 395-408 - 2018
- [j35]Marcin Michalak, Dominik Slezak:
Boolean Representation for Exact Biclustering. Fundam. Informaticae 161(3): 275-297 (2018) - [j34]María José Benítez-Caballero, Jesús Medina, Eloísa Ramírez-Poussa, Dominik Slezak:
Bireducts with tolerance relations. Inf. Sci. 435: 26-39 (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) - [j32]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): 385-414 (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 - [c128]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: 2663-2668 - [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 - [c125]Maciej Swiechowski, Dominik Slezak:
Granular Games in Real-Time Environment. ICDM Workshops 2018: 462-469 - [c124]Dominik Slezak, Janusz Borkowski, Agnieszka Chadzynska-Krasowska:
Ranking Mutual Information Dependencies in a Summary-based Approximate Analytics Framework. HPCS 2018: 852-859 - [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 - [c122]Dominik Slezak, Soma Dutta:
Dynamic and Discernibility Characteristics of Different Attribute Reduction Criteria. IJCSR 2018: 628-643 - [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 - [c119]Maciej Swiechowski, Dominik Slezak:
Grail: A Framework for Adaptive and Believable AI in Video Games. WI 2018: 762-765 - [c118]Dominik Slezak:
Toward Approximate Intelligence: Approximate Query Engines & Approximate Data Exploration. WWW (Companion Volume) 2018: 1687 - 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 - [c116]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: 1840-1849 - [c115]Piotr Prokopowicz, Dominik Slezak:
Ordered Fuzzy Numbers: Sources and Intuitions. Theory and Applications of Ordered Fuzzy Numbers 2017: 47-56 - [c114]Piotr Prokopowicz, Dominik Slezak:
Ordered Fuzzy Numbers: Definitions and Operations. Theory and Applications of Ordered Fuzzy Numbers 2017: 57-79 - [c113]Lukasz Sosnowski, Dominik Slezak:
Learning in Comparator Networks. EUSFLAT/IWIFSGN (3) 2017: 316-327 - [c112]Agnieszka Chadzynska-Krasowska, Pawel Betlinski, Dominik Slezak:
Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection. ISMIS 2017: 519-529 - [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 - [c109]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: 623-643 - [e43]Piotr Prokopowicz, Jacek M. Czerniak, Dariusz Mikolajewski, Lukasz Apiecionek, Dominik Slezak:
Theory and Applications of Ordered Fuzzy Numbers - A Tribute to Professor Witold Kosiński. Studies in Fuzziness and Soft Computing 356, Springer 2017, ISBN 978-3-319-59613-6 [contents] - [e42]Marzena Kryszkiewicz, Annalisa Appice, Dominik Slezak, Henryk Rybinski, Andrzej Skowron, Zbigniew W. Ras:
Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings. Lecture Notes in Computer Science 10352, Springer 2017, ISBN 978-3-319-60437-4 [contents] - [e41]Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Slezak, Beata Zielosko:
Rough Sets - International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3-7, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10313, Springer 2017, ISBN 978-3-319-60836-5 [contents] - [e40]Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Slezak, Beata Zielosko:
Rough Sets - International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3-7, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10314, Springer 2017, ISBN 978-3-319-60839-6 [contents] - [e39]Amit P. Sheth, Axel Ngonga, Yin Wang, Elizabeth Chang, Dominik Slezak, Bogdan Franczyk, Rainer Alt, Xiaohui Tao, Rainer Unland:
Proceedings of the International Conference on Web Intelligence, Leipzig, Germany, August 23-26, 2017. ACM 2017, ISBN 978-1-4503-4951-2 [contents] - 2016
- [j29]Davide Ciucci, Dominik Slezak, Marcin Wolski:
Preface. Fundam. Informaticae 148(1-2): v-vi (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
- [j28]Dominik Slezak, Benjamin C. M. Fung, William Kwok-Wai Cheung:
Preface. Fundam. Informaticae 137(2) (2015) - [j27]Dominik Slezak, Andrzej Skowron:
Preface. Nat. Comput. 14(4): 567-568 (2015) - [c107]Lukasz Sosnowski, Marcin S. Szczuka, Dominik Slezak:
Granular modeling with fuzzy comparators. IEEE BigData 2015: 1550-1555 - [c106]Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Mariusz Rosiak:
Knowledge Pit - A Data Challenge Platform. CS&P 2015: 191-195 - [c105]Mo Jose Benitez, Jesús Medina, Dominik Slezak:
adelta;-information reducts and bireducts. IFSA-EUSFLAT 2015 - [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 - [c103]Heng-Ru Zhang, Fan Min, Dominik Slezak, Bing Shi:
Cost-sensitive regression-based recommender system. ICMLC 2015: 253-258 - [c102]Andrzej Janusz, Dominik Slezak:
Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold. ISMIS 2015: 19-28 - [c101]Lukasz Sosnowski, Dominik Slezak:
Fuzzy Set Interpretation of Comparator Networks. PReMI 2015: 345-353 - [c100]Dominik Slezak:
On Generalized Decision Functions: Reducts, Networks and Ensembles. RSFDGrC 2015: 13-23 - [c99]Marcin S. Szczuka, Andrzej Jankowski, Andrzej Skowron, Dominik Slezak:
Building Granular Systems - from Concepts to Applications. RSFDGrC 2015: 245-255 - [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 - [e37]James F. Peters, Andrzej Skowron, Dominik Slezak, Hung Son Nguyen, Jan G. Bazan:
Transactions on Rough Sets XIX. Lecture Notes in Computer Science 8988, Springer 2015, ISBN 978-3-662-47814-1 [contents] - 2014
- [j26]Andrzej Janusz, Dominik Slezak:
Rough Set Methods for Attribute Clustering and Selection. Appl. Artif. Intell. 28(3): 220-242 (2014) - [j25]Dominik Slezak:
Special section on applications of intelligent data and knowledge processing technologies - Preface. Future Gener. Comput. Syst. 33: 19-20 (2014) - [j24]Jerzy Stefanowski, Alfredo Cuzzocrea, Dominik Slezak:
Processing and mining complex data streams. Inf. Sci. 285: 63-65 (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 - [c95]Piotr Synak, Dominik Slezak:
Complexity aspects of multi-machine aggregations in a rough-granular computation framework. GrC 2014: 275-280 - [c94]Andrzej Janusz, Dominik Slezak:
Random Probes in Computation and Assessment of Approximate Reducts. RSEISP 2014: 53-64 - [c93]Sebastian Widz, Dominik Slezak:
Attribute Subset Quality Functions over a Universe of Weighted Objects. RSEISP 2014: 99-110 - [e36]Dominik Slezak, Gerald Schaefer, Son T. Vuong, Yoo-Sung Kim:
Active Media Technology - 10th International Conference, AMT 2014, Warsaw, Poland, August 11-14, 2014. Proceedings. Lecture Notes in Computer Science 8610, Springer 2014, ISBN 978-3-319-09911-8 [contents] - [e35]Dominik Slezak, Ah-Hwee Tan, James F. Peters, Lars Schwabe:
Brain Informatics and Health - International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings. Lecture Notes in Computer Science 8609, Springer 2014, ISBN 978-3-319-09890-6 [contents] - [e34]Chris Cornelis, Marzena Kryszkiewicz, Dominik Slezak, Ernestina Menasalvas Ruiz, Rafael Bello, Lin Shang:
Rough Sets and Current Trends in Computing - 9th International Conference, RSCTC 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings. Lecture Notes in Computer Science 8536, Springer 2014, ISBN 978-3-319-08643-9 [contents] - [e33]Duoqian Miao, Witold Pedrycz, Dominik Slezak, Georg Peters, Qinghua Hu, Ruizhi Wang:
Rough Sets and Knowledge Technology - 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings. Lecture Notes in Computer Science 8818, Springer 2014, ISBN 978-3-319-11739-3 [contents] - 2013
- [j22]Dominik Slezak, Piotr Synak, Arkadiusz Wojna, Jakub Wroblewski:
Two Database Related Interpretations of Rough Approximations: Data Organization and Query Execution. Fundam. Informaticae 127(1-4): 445-459 (2013) - [j21]Dominik Slezak, Hung Son Nguyen, Marcin S. Szczuka:
Preface. Fundam. Informaticae 127(1-4) (2013) - [j20]Sergei O. Kuznetsov, Dominik Slezak:
Data mining and soft computing. Int. J. Gen. Syst. 42(6): 543-545 (2013) - [c92]Lukasz Sosnowski, Dominik Slezak:
How to Design a Network of Comparators. Brain and Health Informatics 2013: 389-398 - [c91]Marcin Kowalski, Dominik Slezak, Piotr Synak:
Approximate Assistance for Correlated Subqueries. FedCSIS 2013: 1455-1462 - [c90]Tsau Young Lin, Guilong Liu, Mihir K. Chakraborty, Dominik Slezak:
From topology to anti-reflexive topology. FUZZ-IEEE 2013: 1-7 - [c89]Lukasz Sosnowski, Dominik Slezak:
Networks of compound object comparators. FUZZ-IEEE 2013: 1-8 - [c88]Adam Krasuski, Andrzej Jankowski, Andrzej Skowron, Dominik Slezak:
From Sensory Data to Decision Making: A Perspective on Supporting a Fire Commander. Web Intelligence/IAT Workshops 2013: 229-236 - [c87]Dominik Slezak, Marcin Kowalski:
Intelligent granulation of machine-generated data. IFSA/NAFIPS 2013: 68-73 - [c86]Marcin S. Szczuka, Dominik Slezak:
How deep data becomes big data. IFSA/NAFIPS 2013: 579-584 - [c85]Sebastian Widz, Dominik Slezak:
Granular Attribute Selection: A Case Study of Rough Set Approach to MRI Segmentation. PReMI 2013: 47-52 - [c84]Sebastian Stawicki, Dominik Slezak:
Recent Advances in Decision Bireducts: Complexity, Heuristics and Streams. RSKT 2013: 200-212 - [p3]Andrzej Skowron, Mihir K. Chakraborty, Jerzy W. Grzymala-Busse, Victor W. Marek, Sankar K. Pal, James F. Peters, Grzegorz Rozenberg, Dominik Slezak, Roman Slowinski, Shusaku Tsumoto, Alicja Wakulicz-Deja, Guoyin Wang, Wojciech Ziarko:
Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence. Rough Sets and Intelligent Systems (1) 2013: 1-56 - [e32]Davide Ciucci, Masahiro Inuiguchi, Yiyu Yao, Dominik Slezak, Guoyin Wang:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 14th International Conference, RSFDGrC 2013, Halifax, NS, Canada, October 11-14, 2013. Proceedings. Lecture Notes in Computer Science 8170, Springer 2013, ISBN 978-3-642-41217-2 [contents] - 2012
- [j19]Dominik Slezak, Piotr Synak, Janusz Borkowski, Jakub Wroblewski, Graham Toppin:
A Rough-Columnar RDBMS Engine -- A Case Study of Correlated Subqueries. IEEE Data Eng. Bull. 35(1): 34-39 (2012) - [j18]Andrzej Janusz, Dominik Slezak, Hung Son Nguyen:
Unsupervised Similarity Learning from Textual Data. Fundam. Informaticae 119(3-4): 319-336 (2012) - [c83]Adam Krasuski, Dominik Slezak, Karol Krenski, Stanislaw Lazowy:
Granular Knowledge Discovery Framework. ADBIS Workshops 2012: 109-118 - [c82]Hiroshi Sakai, Mao Wu, Michinori Nakata, Dominik Slezak:
Rough Sets-Based Machine Learning over Non-deterministic Data: A Brief Survey. AMLTA 2012: 3-12 - [c81]Dominik Slezak, Pawel Betlinski:
A Role of (Not) Crisp Discernibility in Rough Set Approach to Numeric Feature Selection. AMLTA 2012: 13-23 - [c80]Andrzej Janusz, Dominik Slezak:
Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data. FedCSIS 2012: 295-302 - [c79]Dominik Slezak:
Rough Sets and FCA - Scalability Challenges. ICFCA 2012: 6 - [c78]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
Management of Information Incompleteness in Rough Non-deterministic Information Analysis. IPMU (1) 2012: 280-289 - [c77]Dominik Slezak, Piotr Synak, Graham Toppin, Jakub Wroblewski, Janusz Borkowski:
Rough SQL - Semantics and Execution. IPMU (2) 2012: 570-579 - [c76]Pawel Betlinski, Dominik Slezak:
The Problem of Finding the Sparsest Bayesian Network for an Input Data Set is NP-Hard. ISMIS 2012: 21-30 - [c75]Dominik Slezak, Piotr Synak, Jakub Wroblewski, Janusz Borkowski, Graham Toppin:
Rough Optimizations of Complex Expressions in Infobright's RDBMS. RSCTC 2012: 94-99 - [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 - [p2]Hung Son Nguyen, Dominik Slezak, Andrzej Skowron, Jan G. Bazan:
Semantic Search and Analytics over Large Repository of Scientific Articles. Intelligent Tools for Building a Scientific Information Platform 2012: 1-8 - [p1]Marcin Kowalski, Dominik Slezak, Krzysztof Stencel, Przemyslaw Wiktor Pardel, Marek Grzegorowski, Michal Kijowski:
RDBMS Model for Scientific Articles Analytics. Intelligent Tools for Building a Scientific Information Platform 2012: 49-60 - [e31]Geuk Lee, Daniel Howard, Dominik Slezak, YouSik Hong:
Convergence and Hybrid Information Technology - 6th International Conference, ICHIT 2012, Daejeon, Korea, August 23-25, 2012. Proceedings. Communications in Computer and Information Science 310, Springer 2012, ISBN 978-3-642-32691-2 [contents] - [e30]Geuk Lee, Daniel Howard, Jeong Jin Kang, Dominik Slezak:
Convergence and Hybrid Information Technology - 6th International Conference, ICHIT 2012, Daejeon, Korea, August 23-25, 2012. Proceedings. Lecture Notes in Computer Science 7425, Springer 2012, ISBN 978-3-642-32644-8 [contents] - [i1]Dominik Slezak, Krzysztof Stencel, Hung Son Nguyen:
(No)SQL Platform for Scalable Semantic Processing of Fast Growing Document Repositories. ERCIM News 2012(90) (2012) - 2011
- [j17]Wei-Zhi Wu, Dominik Slezak, Hung Son Nguyen:
Preface. Fundam. Informaticae 111(1) (2011) - [j16]Aboul Ella Hassanien, Hiroshi Sakai, Dominik Slezak, Mihir K. Chakraborty, William Zhu:
Special issue: Rough and Fuzzy Methods for Data Mining. Int. J. Hybrid Intell. Syst. 8(1): 1-2 (2011) - [j15]Hiroshi Sakai, Hitomi Okuma, Michinori Nakata, Dominik Slezak:
Stable rule extraction and decision making in rough non-deterministic information analysis. Int. J. Hybrid Intell. Syst. 8(1): 41-57 (2011) - [j14]Marcin S. Szczuka, Dominik Slezak:
Feedforward neural networks for compound signals. Theor. Comput. Sci. 412(42): 5960-5973 (2011) - [j13]Daryl H. Hepting, Richard Spring, Dominik Slezak:
A Rough Set Exploration of Facial Similarity Judgements. Trans. Rough Sets 14: 81-99 (2011) - [c73]Dominik Slezak, Andrzej Janusz:
Ensembles of Bireducts: Towards Robust Classification and Simple Representation. FGIT 2011: 64-77 - [c72]Hitomi Okuma, Michinori Nakata, Dominik Slezak, Hiroshi Sakai:
Properties on inclusion relations and division charts in non-deterministic information systems. GrC 2011: 521-526 - [c71]Marcin Kowalski, Dominik Slezak, Graham Toppin, Arkadiusz Wojna:
Injecting Domain Knowledge into RDBMS - Compression of Alphanumeric Data Attributes. ISMIS 2011: 386-395 - [c70]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
A Prototype System for Rule Generation in Lipski's Incomplete Information Databases. RSFDGrC 2011: 175-182 - [c69]Lukasz Sosnowski, Dominik Slezak:
Comparators for Compound Object Identification. RSFDGrC 2011: 342-349 - [c68]Dominik Slezak, Sebastian Widz:
Rough-Set-Inspired Feature Subset Selection, Classifier Construction, and Rule Aggregation. RSKT 2011: 81-88 - [c67]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
A NIS-Apriori Based Rule Generator in Prolog and Its Functionality for Table Data. RSKT 2011: 226-231 - [c66]Dominik Slezak, Andrzej Janusz, Wojciech Swieboda, Hung Son Nguyen, Jan G. Bazan, Andrzej Skowron:
Semantic Analytics of PubMed Content. USAB 2011: 63-74 - [e29]Tai-Hoon Kim, Hojjat Adeli, Dominik Slezak, Frode Eika Sandnes, Xiaofeng Song, Kyo-Il Chung, Kirk P. Arnett:
Future Generation Information Technology - Third International Conference, FGIT 2011 in Conjunction with GDC 2011, Jeju Island, Korea, December 8-10, 2011. Proceedings. Lecture Notes in Computer Science 7105, Springer 2011, ISBN 978-3-642-27141-0 [contents] - [e28]Geuk Lee, Daniel Howard, Dominik Slezak:
Convergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Daejeon, Korea, September 22-24, 2011. Proceedings. Communications in Computer and Information Science 206, Springer 2011, ISBN 978-3-642-24105-5 [contents] - [e27]Geuk Lee, Daniel Howard, Dominik Slezak:
Convergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Daejeon, Korea, September 22-24, 2011. Proceedings. Lecture Notes in Computer Science 6935, Springer 2011, ISBN 978-3-642-24081-2 [contents] - [e26]Sergei O. Kuznetsov, Dominik Slezak, Daryl H. Hepting, Boris G. Mirkin:
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. Proceedings. Lecture Notes in Computer Science 6743, Springer 2011, ISBN 978-3-642-21880-4 [contents] - [e25]Emilio Corchado, Václav Snásel, Javier Sedano, Aboul Ella Hassanien, José Luís Calvo-Rolle, Dominik Slezak:
Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011, 6-8 April, 2011, Salamanca, Spain. Advances in Intelligent and Soft Computing 87, Springer 2011, ISBN 978-3-642-19643-0 [contents] - [e24]James F. Peters, Andrzej Skowron, Hiroshi Sakai, Mihir K. Chakraborty, Dominik Slezak, Aboul Ella Hassanien, William Zhu:
Transactions on Rough Sets XIV. Lecture Notes in Computer Science 6600, Springer 2011, ISBN 978-3-642-21562-9 [contents] - 2010
- [j12]Chris Cornelis, Richard Jensen, Germán Hurtado Martín, Dominik Slezak:
Attribute selection with fuzzy decision reducts. Inf. Sci. 180(2): 209-224 (2010) - [j11]Aijun An, Dominik Slezak:
Introduction to the special issue on advanced information retrieval and databases. J. Intell. Inf. Syst. 34(3): 223-225 (2010) - [c65]Dominik Slezak, Graham Toppin:
Injecting domain knowledge into a granular database engine: a position paper. CIKM 2010: 1913-1916 - [c64]Dominik Slezak:
Compound Analytics of Compound Data within RDBMS Framework - Infobright's Perspective. FGIT 2010: 39-40 - [c63]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
The Lower and the Upper Systems of Rules in Tables with Missing Values. FGIT-DTA/BSBT 2010: 132-141 - [c62]Daryl H. Hepting, Dominik Slezak, Richard Spring:
Validation of Classifiers for Facial Photograph Sorting Performance. FGIT-SIP/MulGraB 2010: 184-195 - [c61]Dominik Slezak, Lukasz Sosnowski:
SQL-Based Compound Object Comparators: A Case Study of Images Stored in ICE. FGIT-ASEA 2010: 303-316 - [c60]Dominik Slezak, Piotr Synak, Jakub Wroblewski, Graham Toppin:
Infobright Analytic Database Engine Using Rough Sets and Granular Computing. GrC 2010: 432-437 - [c59]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
Toward Rough Sets Based Rule Generation from Tables with Uncertain Numerical Values. IUM 2010: 395-406 - [c58]Hitomi Okuma, Michinori Nakata, Dominik Slezak, Hiroshi Sakai:
An overview of decision making in Rough Non-deterministic Information Analysis. NaBIC 2010: 345-350 - [c57]Dominik Slezak, Sebastian Widz:
Evolutionary inspired optimization of feature subset ensembles. NaBIC 2010: 437-442 - [c56]Dominik Slezak, Sebastian Widz:
Is It Important Which Rough-Set-Based Classifier Extraction and Voting Criteria Are Applied Together? RSCTC 2010: 187-196 - [c55]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
Rule Generation in Lipski's Incomplete Information Databases. RSCTC 2010: 376-385 - [c54]Daryl H. Hepting, Richard Spring, Timothy Maciag, Katherine Arbuthnott, Dominik Slezak:
Classification of Facial Photograph Sorting Performance Based on Verbal Descriptions. RSCTC 2010: 570-579 - [c53]Dominik Slezak, Marcin Kowalski:
Towards Approximate SQL - Infobright's Approach. RSCTC 2010: 630-639 - [e23]Tai-Hoon Kim, Haeng-Kon Kim, Muhammad Khurram Khan, Kiumi Akingbehin, Wai-Chi Fang, Dominik Slezak:
Advances in Software Engineering - International Conference, ASEA 2010, Held as Part of the Future Generation Information Technology Conference, FGIT 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings. Communications in Computer and Information Science 117, Springer 2010, ISBN 978-3-642-17577-0 [contents] - [e22]Tai-Hoon Kim, Alan Chin-Chen Chang, Mingchu Li, Chunming Rong, Charalampos Z. Patrikakis, Dominik Slezak:
Communication and Networking - International Conference, FGCN 2010, Held as Part of the Future Generation Information Technology Conference, FGIT 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings, Part I. Communications in Computer and Information Science 119, Springer 2010, ISBN 978-3-642-17586-2 [contents] - [e21]Tai-Hoon Kim, Thanos Vasilakos, Kouichi Sakurai, Yang Xiao, Gansen Zhao, Dominik Slezak:
Communication and Networking - International Conference, FGCN 2010, Held as Part of the Future Generation Information Technology Conference, FGIT 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings, Part II. Communications in Computer and Information Science 120, Springer 2010, ISBN 978-3-642-17603-6 [contents] - [e20]Tai-Hoon Kim, Stephen S. Yau, Osvaldo Gervasi, Byeong Ho Kang, Adrian Stoica, Dominik Slezak:
Grid and Distributed Computing, Control and Automation - International Conferences, GDC and CA 2010, Held as Part of the Future Generation Information Technology Conference, FGIT 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings. Communications in Computer and Information Science 121, Springer 2010, ISBN 978-3-642-17624-1 [contents] - [e19]Tai-Hoon Kim, Wai-Chi Fang, Muhammad Khurram Khan, Kirk P. Arnett, Heau-Jo Kang, Dominik Slezak:
Security Technology, Disaster Recovery and Business Continuity - International Conferences, SecTech and DRBC 2010, Held as Part of the Future Generation Information Technology Conference, FGIT 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings. Communications in Computer and Information Science 122, Springer 2010, ISBN 978-3-642-17609-8 [contents] - [e18]Tai-Hoon Kim, Sankar K. Pal, William I. Grosky, Niki Pissinou, Timothy K. Shih, Dominik Slezak:
Signal Processing and Multimedia - International Conferences, SIP and MulGraB 2010, Held as Part of the Future Generation Information Technology Conference, FGIT 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings. Communications in Computer and Information Science 123, Springer 2010, ISBN 978-3-642-17640-1 [contents] - [e17]Tai-Hoon Kim, Jianhua Ma, Wai-Chi Fang, Byungjoo Park, Byeong Ho Kang, Dominik Slezak:
U- and E-Service, Science and Technology - International Conference UNESST 2010, Held as Part of the Future Generation Information Technology Conference, FGIT 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings. Communications in Computer and Information Science 124, Springer 2010, ISBN 978-3-642-17643-2 [contents] - [e16]Tai-Hoon Kim, Young-Hoon Lee, Byeong Ho Kang, Dominik Slezak:
Future Generation Information Technology - Second International Conference, FGIT 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings. Lecture Notes in Computer Science 6485, Springer 2010, ISBN 978-3-642-17568-8 [contents]
2000 – 2009
- 2009
- [j10]Dominik Slezak:
Degrees of conditional (in)dependence: A framework for approximate Bayesian networks and examples related to the rough set-based feature selection. Inf. Sci. 179(3): 197-209 (2009) - [j9]Dominik Slezak:
Rough Sets and Functional Dependencies in Data: Foundations of Association Reducts. Trans. Comput. Sci. 5: 182-205 (2009) - [c52]Dominik Slezak, Marcin Kowalski:
Intelligent Data Granulation on Load: Improving Infobright's Knowledge Grid. FGIT 2009: 12-25 - [c51]Dominik Slezak, Hiroshi Sakai:
Automatic Extraction of Decision Rules from Non-deterministic Data Systems: Theoretical Foundations and SQL-Based Implementation. FGIT-DTA 2009: 151-162 - [c50]Dominik Slezak:
Multi-Level Approaches for Data Mining and Data Processing: Two Examples. IICAI 2009: 2 - [c49]Manish R. Joshi, Rabi Nanda Bhaumik, Pawan Lingras, Nitin Patil, Ambuja Salgaonkar, Dominik Slezak:
Rough Set Year in India 2009. RSFDGrC 2009: 67-68 - [c48]Daryl H. Hepting, Timothy Maciag, Richard Spring, Katherine Arbuthnott, Dominik Slezak:
A Rough Sets Approach for Personalized Support of Face Recognition. RSFDGrC 2009: 201-208 - [c47]Hiroshi Sakai, Kohei Hayashi, Michinori Nakata, Dominik Slezak:
The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems. RSFDGrC 2009: 313-320 - [c46]Dominik Slezak, Victoria Eastwood:
Data warehouse technology by infobright. SIGMOD Conference 2009: 841-846 - [e15]Dominik Slezak, Tai-Hoon Kim, Alan Chin-Chen Chang, Thanos Vasilakos, Mingchu Li, Kouichi Sakurai:
Communication and Networking - International Conference, FGCN/ACN 2009, Held as Part of the Future Generation Information Technology Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings. Communications in Computer and Information Science 56, Springer 2009, ISBN 978-3-642-10843-3 [contents] - [e14]Dominik Slezak, Tughrul Arslan, Wai-Chi Fang, Xiaofeng Song, Tai-Hoon Kim:
Bio-Science and Bio-Technology - International Conference, BSBT 2009 Held as Part of the Future Generation Information Technology Conference, FGIT 2009 Jeju Island, Korea, December 10-12, 2009 Proceedings. Communications in Computer and Information Science 57, Springer 2009, ISBN 978-3-642-10615-6 [contents] - [e13]Dominik Slezak, Tai-Hoon Kim, Wai-Chi Fang, Kirk P. Arnett:
Security Technology - International Conference, SecTech 2009, Held as Part of the Future Generation Information Technology Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings. Communications in Computer and Information Science 58, Springer 2009, ISBN 978-3-642-10846-4 [contents] - [e12]Dominik Slezak, Tai-Hoon Kim, Kiumi Akingbehin, Tao Jiang, June M. Verner, Silvia Abrahão:
Advances in Software Engineering - International Conference on Advanced Software Engineering and Its Applications, ASEA 2009 Held as Part of the Future Generation Information Technology Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings. Communications in Computer and Information Science 59, Springer 2009, ISBN 978-3-642-10618-7 [contents] - [e11]Dominik Slezak, Sankar K. Pal, Byeong Ho Kang, Junzhong Gu, Hideo Kuroda, Tai-Hoon Kim:
Signal Processing, Image Processing and Pattern Recognition - International Conference, SIP 2009, Held as Part of the Future Generation Information Technology Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings. Communications in Computer and Information Science 61, Springer 2009, ISBN 978-3-642-10545-6 [contents] - [e10]Dominik Slezak, Tai-Hoon Kim, Stephen S. Yau, Osvaldo Gervasi, Byeong-Ho Kang:
Grid and Distributed Computing - International Conference, GDC 2009, Held as Part of the Future Generation Information Technology Conferences, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings. Communications in Computer and Information Science 63, Springer 2009, ISBN 978-3-642-10548-7 [contents] - [e9]Dominik Slezak, Tai-Hoon Kim, Yanchun Zhang, Jianhua Ma, Kyo-Il Chung:
Database Theory and Application - International Conference, DTA 2009, Held as Part of the Future Generation Information Technology Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings. Communications in Computer and Information Science 64, Springer 2009, ISBN 978-3-642-10582-1 [contents] - [e8]Young-Hoon Lee, Tai-Hoon Kim, Wai-Chi Fang, Dominik Slezak:
Future Generation Information Technology, First International Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings. Lecture Notes in Computer Science 5899, Springer 2009, ISBN 978-3-642-10508-1 [contents] - [e7]Geuk Lee, Daniel Howard, Jeong Jin Kang, Dominik Slezak, Tae Nam Ahn, Chung-Huang Yang:
Proceedings of the 2009 International Conference on Hybrid Information Technology, ICHIT 2009, Daejeon, Korea, August 27-29, 2009. ACM International Conference Proceeding Series 321, ACM 2009, ISBN 978-1-60558-662-5 [contents] - [e6]Hiroshi Sakai, Mihir K. Chakraborty, Aboul Ella Hassanien, Dominik Slezak, William Zhu:
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 12th International Conference, RSFDGrC 2009, Delhi, India, December 15-18, 2009. Proceedings. Lecture Notes in Computer Science 5908, Springer 2009, ISBN 978-3-642-10645-3 [contents] - 2008
- [j8]Dominik Slezak, Jakub Wroblewski, Victoria Eastwood, Piotr Synak:
Brighthouse: an analytic data warehouse for ad-hoc queries. Proc. VLDB Endow. 1(2): 1337-1345 (2008) - [c45]Dominik Slezak, Jakub Wroblewski, Victoria Eastwood, Piotr Synak:
Rough Sets in Data Warehousing. RSCTC 2008: 505-507 - [c44]Chris Cornelis, Germán Hurtado Martín, Richard Jensen, Dominik Slezak:
Feature Selection with Fuzzy Decision Reducts. RSKT 2008: 284-291 - [e5]Aijun An, Stan Matwin, Zbigniew W. Ras, Dominik Slezak:
Foundations of Intelligent Systems, 17th International Symposium, ISMIS 2008, Toronto, Canada, May 20-23, 2008, Proceedings. Lecture Notes in Computer Science 4994, Springer 2008, ISBN 978-3-540-68122-9 [contents] - 2007
- [c43]Timothy Maciag, Daryl H. Hepting, Robert J. Hilderman, Dominik Slezak:
Evaluation of a Dominance-Based Rough Set Approach to Interface Design. FBIT 2007: 409-416 - [c42]Sebastian Widz, Dominik Slezak:
Approximation Degrees in Decision Reduct-Based MRI Segmentation. FBIT 2007: 431-436 - [c41]Dominik Slezak:
Rough Sets and Few-Objects-Many-Attributes Problem: The Case Study of Analysis of Gene Expression Data Sets. FBIT 2007: 437-442 - [c40]Dominik Slezak, Piotr Wasilewski:
Granular Sets - Foundations and Case Study of Tolerance Spaces. RSFDGrC 2007: 435-442 - [c39]Dominik Slezak, Marcin S. Szczuka:
Rough Neural Networks for Complex Concepts. RSFDGrC 2007: 574-582 - [c38]Timothy Maciag, Daryl H. Hepting, Dominik Slezak, Robert J. Hilderman:
Mining Associations for Interface Design. RSKT 2007: 109-117 - [c37]Dominik Slezak, Jakub Wroblewski:
Roughfication of Numeric Decision Tables: The Case Study of Gene Expression Data. RSKT 2007: 316-323 - [c36]Piotr Synak, Dominik Slezak:
Descriptors and Templates in Relational Information Systems. RSKT 2007: 403-410 - [e4]Marcin S. Szczuka, Daniel Howard, Dominik Slezak, Haeng-Kon Kim, Tai-Hoon Kim, Il Seok Ko, Geuk Lee, Peter M. A. Sloot:
Advances in Hybrid Information Technology, First International Conference, ICHIT 2006, Jeju Island, Korea, November 9-11, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4413, Springer 2007, ISBN 978-3-540-77367-2 [contents] - [e3]Jingtao Yao, Pawan Lingras, Wei-Zhi Wu, Marcin S. Szczuka, Nick Cercone, Dominik Slezak:
Rough Sets and Knowledge Technology, Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings. Lecture Notes in Computer Science 4481, Springer 2007, ISBN 978-3-540-72457-5 [contents] - 2006
- [j7]Aboul Ella Hassanien, Dominik Slezak:
Rough neural intelligent approach for image classification: A case of patients with suspected breast cancer. Int. J. Hybrid Intell. Syst. 3(4): 205-218 (2006) - [j6]Alicja Gruzdz, Aleksandra Ihnatowicz, Dominik Slezak:
Interactive Gene Clustering-A Case Study of Breast Cancer Microarray Data. Inf. Syst. Frontiers 8(1): 21-27 (2006) - [c35]Piotr Synak, Dominik Slezak:
Tolerance Based Templates for Information Systems: Foundations and Perspectives. ICHIT 2006: 11-19 - [c34]Dominik Slezak:
Association Reducts: Complexity and Heuristics. RSCTC 2006: 157-164 - [c33]Dominik Slezak:
Association Reducts: Boolean Representation. RSKT 2006: 305-312 - 2005
- [j5]Dominik Slezak, Wojciech Ziarko:
The investigation of the Bayesian rough set model. Int. J. Approx. Reason. 40(1-2): 81-91 (2005) - [j4]Dominik Slezak:
Rough Sets and Bayes Factor. Trans. Rough Sets 3: 202-229 (2005) - [c32]Alicja Gruzdz, Aleksandra Ihnatowicz, Dominik Slezak:
Gene Expression Clustering: Dealing with the Missing Values. Intelligent Information Systems 2005: 521-530 - [c31]Dominik Slezak:
Association Reducts: A Framework for Mining Multi-attribute Dependencies. ISMIS 2005: 354-363 - [c30]Alicja Gruzdz, Aleksandra Ihnatowicz, Dominik Slezak:
Interactive SOM-Based Gene Grouping: An Approach to Gene Expression Data Analysis. ISMIS 2005: 514-523 - [c29]Mohammad M. Rahman, Dominik Slezak, Jakub Wroblewski:
Parallel Island Model for Attribute Reduction. PReMI 2005: 714-719 - [c28]Sebastian Widz, Kenneth Revett, Dominik Slezak:
A Rough Set-Based Magnetic Resonance Imaging Partial Volume Detection System. PReMI 2005: 756-761 - [c27]Sebastian Widz, Kenneth Revett, Dominik Slezak:
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts. RSFDGrC (2) 2005: 372-382 - [e2]Dominik Slezak, Guoyin Wang, Marcin S. Szczuka, Ivo Düntsch, Yiyu Yao:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3641, Springer 2005, ISBN 3-540-28653-5 [contents] - [e1]Dominik Slezak, Jingtao Yao, James F. Peters, Wojciech Ziarko, Xiaohua Hu:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3642, Springer 2005, ISBN 3-540-28660-8 [contents] - 2004
- [c26]Witold Kosinski, Piotr Prokopowicz, Dominik Slezak:
Calculus with Fuzzy Numbers. IMTCI 2004: 21-28 - [c25]Dominik Slezak, Marcin S. Szczuka, Jakub Wróblewski:
Feedforward Concept Networks. MSRAS 2004: 281-292 - [c24]Dominik Slezak:
The Rough Bayesian Model for Distributed Decision Systems. Rough Sets and Current Trends in Computing 2004: 384-393 - [c23]Dominik Slezak, Marcin S. Szczuka, Jakub Wroblewski:
Harnessing Classifier Networks ? Towards Hierarchical Concept Construction. Rough Sets and Current Trends in Computing 2004: 554-560 - [c22]Sebastian Widz, Kenneth Revett, Dominik Slezak:
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts. Rough Sets and Current Trends in Computing 2004: 815-824 - 2003
- [j3]Alicja Wieczorkowska, Jakub Wroblewski, Piotr Synak, Dominik Slezak:
Application of Temporal Descriptors to Musical Instrument Sound Recognition. J. Intell. Inf. Syst. 21(1): 71-93 (2003) - [c21]Witold Kosinski, Piotr Prokopowicz, Dominik Slezak:
Algebraic Operations on Fuzzy Numbers. IIS 2003: 353-362 - [c20]Alicja Wieczorkowska, Jakub Wroblewski, Dominik Slezak, Piotr Synak:
Problems with Automatic Classification of Musical Sounds. IIS 2003: 423-430 - [c19]Jan G. Bazan, Andrzej Skowron, Dominik Slezak, Jakub Wroblewski:
Searching for the Complex Decision Reducts: The Case Study of the Survival Analysis. ISMIS 2003: 160-168 - [c18]Dominik Slezak, Jakub Wroblewski, Marcin S. Szczuka:
Constructing Extensions of Bayesian Classifiers with Use of Normalizing Neural Networks. ISMIS 2003: 408-416 - [c17]Dominik Slezak, Jakub Wroblewski:
Order Based Genetic Algorithms for the Search of Approximate Entropy Reducts. RSFDGrC 2003: 308-311 - [c16]Dominik Slezak, Wojciech Ziarko:
Variable Precision Bayesian Rough Set Model. RSFDGrC 2003: 312-315 - [c15]Dominik Slezak, Jakub Wroblewski, Marcin S. Szczuka:
Neural Network Architecture for Synthesis of the Probabilistic Rule Based Classifiers. RSKD 2003: 251-262 - [c14]Dominik Slezak, Wojciech Ziarko:
Attribute Reduction in the Bayesian Version of Variable Precision Rough Set Model. RSKD 2003: 263-273 - 2002
- [j2]Dominik Slezak:
Approximate Entropy Reducts. Fundam. Informaticae 53(3-4): 365-390 (2002) - [c13]Witold Kosinski, Piotr Prokopowicz, Dominik Slezak:
Fuzzy Reals with Algebraic Operations: Algorithmic Approach. Intelligent Information Systems 2002: 311-320 - [c12]Dominik Slezak, Piotr Synak, Alicja Wieczorkowska, Jakub Wroblewski:
KDD-Based Approach to Musical Instrument Sound Recognition. ISMIS 2002: 28-36 - [c11]Dominik Slezak, Jakub Wroblewski:
Approximate Bayesian Network Classifiers. Rough Sets and Current Trends in Computing 2002: 365-372 - [c10]Jan G. Bazan, Antoni Osmólski, Andrzej Skowron, Dominik Slezak, Marcin S. Szczuka, Jakub Wroblewski:
Rough Set Approach to the Survival Analysis. Rough Sets and Current Trends in Computing 2002: 522-529 - 2001
- [c9]Rafal Deja, Dominik Slezak:
Rough Set Theory in Conflict Analysis. JSAI Workshops 2001: 349-353 - [c8]Dominik Slezak:
Classification Models Based on Approximate Bayesian Networks. JSAI Workshops 2001: 364-369 - 2000
- [j1]Dominik Slezak:
Normalized Decision Functions and Measures for Inconsistent Decision Tables Analysis. Fundam. Informaticae 44(3): 291-319 (2000) - [c7]Maciej Borkowski, Dominik Slezak:
Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts. Rough Sets and Current Trends in Computing 2000: 123-130 - [c6]Dominik Slezak, Jakub Wroblewski:
Application of Normalized Decision Measures to the New Case Classification. Rough Sets and Current Trends in Computing 2000: 553-560
1990 – 1999
- 1999
- [c5]Dominik Slezak, Jakub Wroblewski:
Classification Algorithms Based on Linear Combinations of Features. PKDD 1999: 548-553 - [c4]Hung Son Nguyen, Dominik Slezak:
Approximate Reducts and Association Rules - Correspondence and Complexity Results. RSFDGrC 1999: 137-145 - 1998
- [c3]Dominik Slezak:
Searching for Frequential Reducts in Decision Tables with Uncertain Objects. Rough Sets and Current Trends in Computing 1998: 52-59 - 1997
- [c2]Dominik Slezak:
Decision Value Oriented Decomposition of Data Tables. ISMIS 1997: 487-496 - [c1]Hung Son Nguyen, Marcin S. Szczuka, Dominik Slezak:
Neural Networks Design: Rough Set Approach to Continuous Data. PKDD 1997: 359-366
Coauthor Index
[c158] [c157] [c155] [j48] [j47] [c151] [c150] [c149] [c148] [i5] [i3] [j45] [c146] [c144] [c142] [j44] [c141] [i2] [c139] [c138] [c134] [c132] [j33] [c129] [c127] [c126] [c123] [c121] [c120] [j31] [j30] [c117] [c111] [c110] [c108] [e38] [c106] [c104] [c102] [c98] [c97] [j26] [j23] [c96] [c94] [j18] [c80] [c74] [c73] [c66]
Jakub Wroblewski
aka: Jakub Wróblewski
aka: Jakub Wróblewski
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