Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j47]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)- 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. Big Data 2022: 6188-6194 - [c146]Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
EVEAL - Expected Variance Estimation for Active Learning. Big Data 2022: 6222-6231 - [c145]Mateusz Przyborowski, Dominik Slezak:
Approximation of the expectation-maximization algorithm for Gaussian mixture models on big data. 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. 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]