Decision Value Oriented Decomposition of Data Tables. - Dominik Slezak (ISMIS, 1997)

Neural Networks Design: Rough Set Approach to Continuous Data. - Hung Son Nguyen; Marcin S. Szczuka; Dominik Slezak (PKDD, 1997)

Searching for Frequential Reducts in Decision Tables with Uncertain Objects. - Dominik Slezak (Rough Sets and Current Trends in Computing, 1998)

Classification Algorithms Based on Linear Combinations of Features. - Dominik Slezak; Jakub Wroblewski (PKDD, 1999)

Approximate Reducts and Association Rules - Correspondence and Complexity Results. - Hung Son Nguyen; Dominik Slezak (RSFDGrC, 1999)

Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts. - Maciej Borkowski; Dominik Slezak (Rough Sets and Current Trends in Computing, 2000)

Application of Normalized Decision Measures to the New Case Classification. - Dominik Slezak; Jakub Wroblewski (Rough Sets and Current Trends in Computing, 2000)

Normalized Decision Functions and Measures for Inconsistent Decision Tables Analysis. - Dominik Slezak (Fundam. Informaticae, 2000)

Rough Set Theory in Conflict Analysis. - Rafal Deja; Dominik Slezak (JSAI Workshops, 2001)

Classification Models Based on Approximate Bayesian Networks. - Dominik Slezak (JSAI Workshops, 2001)

Fuzzy Reals with Algebraic Operations: Algorithmic Approach. - Witold Kosinski; Piotr Prokopowicz; Dominik Slezak (Intelligent Information Systems, 2002)

KDD-Based Approach to Musical Instrument Sound Recognition. - Dominik Slezak; Piotr Synak; Alicja Wieczorkowska; Jakub Wroblewski (ISMIS, 2002)

Rough Set Approach to the Survival Analysis. - Jan G. Bazan; Antoni Osmólski; Andrzej Skowron; Dominik Slezak; Marcin S. Szczuka; Jakub Wroblewski (Rough Sets and Current Trends in Computing, 2002)

Approximate Bayesian Network Classifiers. - Dominik Slezak; Jakub Wroblewski (Rough Sets and Current Trends in Computing, 2002)

Approximate Entropy Reducts. - Dominik Slezak (Fundam. Informaticae, 2002)

Algebraic Operations on Fuzzy Numbers. - Witold Kosinski; Piotr Prokopowicz; Dominik Slezak (IIS, 2003)

Problems with Automatic Classification of Musical Sounds. - Alicja Wieczorkowska; Jakub Wroblewski; Dominik Slezak; Piotr Synak (IIS, 2003)

Searching for the Complex Decision Reducts: The Case Study of the Survival Analysis. - Jan G. Bazan; Andrzej Skowron; Dominik Slezak; Jakub Wroblewski (ISMIS, 2003)

Constructing Extensions of Bayesian Classifiers with Use of Normalizing Neural Networks. - Dominik Slezak; Jakub Wroblewski; Marcin S. Szczuka (ISMIS, 2003)

Order Based Genetic Algorithms for the Search of Approximate Entropy Reducts. - Dominik Slezak; Jakub Wroblewski (RSFDGrC, 2003)

Variable Precision Bayesian Rough Set Model. - Dominik Slezak; Wojciech Ziarko (RSFDGrC, 2003)

Neural Network Architecture for Synthesis of the Probabilistic Rule Based Classifiers. - Dominik Slezak; Jakub Wroblewski; Marcin S. Szczuka (RSKD, 2003)

Attribute Reduction in the Bayesian Version of Variable Precision Rough Set Model. - Dominik Slezak; Wojciech Ziarko (RSKD, 2003)

Application of Temporal Descriptors to Musical Instrument Sound Recognition. - Alicja Wieczorkowska; Jakub Wroblewski; Piotr Synak; Dominik Slezak (J. Intell. Inf. Syst., 2003)

Calculus with Fuzzy Numbers. - Witold Kosinski; Piotr Prokopowicz; Dominik Slezak (IMTCI, 2004)

Feedforward Concept Networks. - Dominik Slezak; Marcin S. Szczuka; Jakub Wróblewski (MSRAS, 2004)

The Rough Bayesian Model for Distributed Decision Systems. - Dominik Slezak (Rough Sets and Current Trends in Computing, 2004)

Harnessing Classifier Networks ? Towards Hierarchical Concept Construction. - Dominik Slezak; Marcin S. Szczuka; Jakub Wroblewski (Rough Sets and Current Trends in Computing, 2004)

An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts. - Sebastian Widz; Kenneth Revett; Dominik Slezak (Rough Sets and Current Trends in Computing, 2004)

Gene Expression Clustering: Dealing with the Missing Values. - Alicja Gruzdz; Aleksandra Ihnatowicz; Dominik Slezak (Intelligent Information Systems, 2005)

Interactive SOM-Based Gene Grouping: An Approach to Gene Expression Data Analysis. - Alicja Gruzdz; Aleksandra Ihnatowicz; Dominik Slezak (ISMIS, 2005)

Association Reducts: A Framework for Mining Multi-attribute Dependencies. - Dominik Slezak (ISMIS, 2005)

Parallel Island Model for Attribute Reduction. - Mohammad M. Rahman; Dominik Slezak; Jakub Wroblewski (PReMI, 2005)

A Rough Set-Based Magnetic Resonance Imaging Partial Volume Detection System. - Sebastian Widz; Kenneth Revett; Dominik Slezak (PReMI, 2005)

A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts. - Sebastian Widz; Kenneth Revett; Dominik Slezak (RSFDGrC (2), 2005)

The investigation of the Bayesian rough set model. - Dominik Slezak; Wojciech Ziarko (Int. J. Approx. Reason., 2005)

Rough Sets and Bayes Factor. - Dominik Slezak (Trans. Rough Sets, 2005)

Tolerance Based Templates for Information Systems: Foundations and Perspectives. - Piotr Synak; Dominik Slezak (ICHIT, 2006)

Association Reducts: Complexity and Heuristics. - Dominik Slezak (RSCTC, 2006)

Association Reducts: Boolean Representation. - Dominik Slezak (RSKT, 2006)

Rough neural intelligent approach for image classification: A case of patients with suspected breast cancer. - Aboul Ella Hassanien; Dominik Slezak (Int. J. Hybrid Intell. Syst., 2006)

Interactive Gene Clustering-A Case Study of Breast Cancer Microarray Data. - Alicja Gruzdz; Aleksandra Ihnatowicz; Dominik Slezak (Inf. Syst. Frontiers, 2006)

Evaluation of a Dominance-Based Rough Set Approach to Interface Design. - Timothy Maciag; Daryl H. Hepting; Robert J. Hilderman; Dominik Slezak (FBIT, 2007)

Rough Sets and Few-Objects-Many-Attributes Problem: The Case Study of Analysis of Gene Expression Data Sets. - Dominik Slezak (FBIT, 2007)

Approximation Degrees in Decision Reduct-Based MRI Segmentation. - Sebastian Widz; Dominik Slezak (FBIT, 2007)

Rough Neural Networks for Complex Concepts. - Dominik Slezak; Marcin S. Szczuka (RSFDGrC, 2007)

Granular Sets - Foundations and Case Study of Tolerance Spaces. - Dominik Slezak; Piotr Wasilewski (RSFDGrC, 2007)

Mining Associations for Interface Design. - Timothy Maciag; Daryl H. Hepting; Dominik Slezak; Robert J. Hilderman (RSKT, 2007)

Roughfication of Numeric Decision Tables: The Case Study of Gene Expression Data. - Dominik Slezak; Jakub Wroblewski (RSKT, 2007)

Descriptors and Templates in Relational Information Systems. - Piotr Synak; Dominik Slezak (RSKT, 2007)

Rough Sets in Data Warehousing. - Dominik Slezak; Jakub Wroblewski; Victoria Eastwood; Piotr Synak (RSCTC, 2008)

Feature Selection with Fuzzy Decision Reducts. - Chris Cornelis; Germán Hurtado Martín; Richard Jensen; Dominik Slezak (RSKT, 2008)

Brighthouse: an analytic data warehouse for ad-hoc queries. - Dominik Slezak; Jakub Wroblewski; Victoria Eastwood; Piotr Synak (Proc. VLDB Endow., 2008)

Intelligent Data Granulation on Load: Improving Infobright's Knowledge Grid. - Dominik Slezak; Marcin Kowalski (FGIT, 2009)

Automatic Extraction of Decision Rules from Non-deterministic Data Systems: Theoretical Foundations and SQL-Based Implementation. - Dominik Slezak; Hiroshi Sakai (FGIT-DTA, 2009)

Multi-Level Approaches for Data Mining and Data Processing: Two Examples. - Dominik Slezak (IICAI, 2009)

A Rough Sets Approach for Personalized Support of Face Recognition. - Daryl H. Hepting; Timothy Maciag; Richard Spring; Katherine Arbuthnott; Dominik Slezak (RSFDGrC, 2009)

Rough Set Year in India 2009. - Manish R. Joshi; Rabi Nanda Bhaumik; Pawan Lingras; Nitin Patil; Ambuja Salgaonkar; Dominik Slezak (RSFDGrC, 2009)

The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems. - Hiroshi Sakai; Kohei Hayashi; Michinori Nakata; Dominik Slezak (RSFDGrC, 2009)

Data warehouse technology by infobright. - Dominik Slezak; Victoria Eastwood (SIGMOD Conference, 2009)

Degrees of conditional (in)dependence: A framework for approximate Bayesian networks and examples related to the rough set-based feature selection. - Dominik Slezak (Inf. Sci., 2009)

Rough Sets and Functional Dependencies in Data: Foundations of Association Reducts. - Dominik Slezak (Trans. Comput. Sci., 2009)

Injecting domain knowledge into a granular database engine: a position paper. - Dominik Slezak; Graham Toppin (CIKM, 2010)

Validation of Classifiers for Facial Photograph Sorting Performance. - Daryl H. Hepting; Dominik Slezak; Richard Spring (FGIT-SIP/MulGraB, 2010)

The Lower and the Upper Systems of Rules in Tables with Missing Values. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (FGIT-DTA/BSBT, 2010)

Compound Analytics of Compound Data within RDBMS Framework - Infobright's Perspective. - Dominik Slezak (FGIT, 2010)

SQL-Based Compound Object Comparators: A Case Study of Images Stored in ICE. - Dominik Slezak; Lukasz Sosnowski (FGIT-ASEA, 2010)

Infobright Analytic Database Engine Using Rough Sets and Granular Computing. - Dominik Slezak; Piotr Synak; Jakub Wroblewski; Graham Toppin (GrC, 2010)

Toward Rough Sets Based Rule Generation from Tables with Uncertain Numerical Values. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (IUM, 2010)

An overview of decision making in Rough Non-deterministic Information Analysis. - Hitomi Okuma; Michinori Nakata; Dominik Slezak; Hiroshi Sakai (NaBIC, 2010)

Evolutionary inspired optimization of feature subset ensembles. - Dominik Slezak; Sebastian Widz (NaBIC, 2010)

Classification of Facial Photograph Sorting Performance Based on Verbal Descriptions. - Daryl H. Hepting; Richard Spring; Timothy Maciag; Katherine Arbuthnott; Dominik Slezak (RSCTC, 2010)

Rule Generation in Lipski's Incomplete Information Databases. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (RSCTC, 2010)

Towards Approximate SQL - Infobright's Approach. - Dominik Slezak; Marcin Kowalski (RSCTC, 2010)

Is It Important Which Rough-Set-Based Classifier Extraction and Voting Criteria Are Applied Together? - Dominik Slezak; Sebastian Widz (RSCTC, 2010)

Attribute selection with fuzzy decision reducts. - Chris Cornelis; Richard Jensen; Germán Hurtado Martín; Dominik Slezak (Inf. Sci., 2010)

Introduction to the special issue on advanced information retrieval and databases. - Aijun An; Dominik Slezak (J. Intell. Inf. Syst., 2010)

Ensembles of Bireducts: Towards Robust Classification and Simple Representation. - Dominik Slezak; Andrzej Janusz (FGIT, 2011)

Properties on inclusion relations and division charts in non-deterministic information systems. - Hitomi Okuma; Michinori Nakata; Dominik Slezak; Hiroshi Sakai (GrC, 2011)

Injecting Domain Knowledge into RDBMS - Compression of Alphanumeric Data Attributes. - Marcin Kowalski; Dominik Slezak; Graham Toppin; Arkadiusz Wojna (ISMIS, 2011)

A Prototype System for Rule Generation in Lipski's Incomplete Information Databases. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (RSFDGrC, 2011)

Comparators for Compound Object Identification. - Lukasz Sosnowski; Dominik Slezak (RSFDGrC, 2011)

A NIS-Apriori Based Rule Generator in Prolog and Its Functionality for Table Data. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (RSKT, 2011)

Rough-Set-Inspired Feature Subset Selection, Classifier Construction, and Rule Aggregation. - Dominik Slezak; Sebastian Widz (RSKT, 2011)

Semantic Analytics of PubMed Content. - Dominik Slezak; Andrzej Janusz; Wojciech Swieboda; Hung Son Nguyen; Jan G. Bazan; Andrzej Skowron (USAB, 2011)

Preface. - Wei-Zhi Wu; Dominik Slezak; Hung Son Nguyen (Fundam. Informaticae, 2011)

Special issue: Rough and Fuzzy Methods for Data Mining. - Aboul Ella Hassanien; Hiroshi Sakai; Dominik Slezak; Mihir K. Chakraborty; William Zhu 001 (Int. J. Hybrid Intell. Syst., 2011)

Stable rule extraction and decision making in rough non-deterministic information analysis. - Hiroshi Sakai; Hitomi Okuma; Michinori Nakata; Dominik Slezak (Int. J. Hybrid Intell. Syst., 2011)

Feedforward neural networks for compound signals. - Marcin S. Szczuka; Dominik Slezak (Theor. Comput. Sci., 2011)

A Rough Set Exploration of Facial Similarity Judgements. - Daryl H. Hepting; Richard Spring; Dominik Slezak (Trans. Rough Sets, 2011)

Granular Knowledge Discovery Framework. - Adam Krasuski; Dominik Slezak; Karol Krenski; Stanislaw Lazowy (ADBIS Workshops, 2012)

Rough Sets-Based Machine Learning over Non-deterministic Data: A Brief Survey. - Hiroshi Sakai; Mao Wu; Michinori Nakata; Dominik Slezak (AMLTA, 2012)

A Role of (Not) Crisp Discernibility in Rough Set Approach to Numeric Feature Selection. - Dominik Slezak; Pawel Betlinski (AMLTA, 2012)

Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data. - Andrzej Janusz; Dominik Slezak (FedCSIS, 2012)

Rough Sets and FCA - Scalability Challenges. - Dominik Slezak (ICFCA, 2012)

Management of Information Incompleteness in Rough Non-deterministic Information Analysis. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (IPMU (1), 2012)

Rough SQL - Semantics and Execution. - Dominik Slezak; Piotr Synak; Graham Toppin; Jakub Wroblewski; Janusz Borkowski (IPMU (2), 2012)

The Problem of Finding the Sparsest Bayesian Network for an Input Data Set is NP-Hard. - Pawel Betlinski; Dominik Slezak (ISMIS, 2012)

JRS'2012 Data Mining Competition: Topical Classification of Biomedical Research Papers. - Andrzej Janusz; Hung Son Nguyen; Dominik Slezak; Sebastian Stawicki; Adam Krasuski (RSCTC, 2012)

Rough Optimizations of Complex Expressions in Infobright's RDBMS. - Dominik Slezak; Piotr Synak; Jakub Wroblewski; Janusz Borkowski; Graham Toppin (RSCTC, 2012)

A Rough-Columnar RDBMS Engine – A Case Study of Correlated Subqueries. - Dominik Slezak; Piotr Synak; Janusz Borkowski; Jakub Wroblewski; Graham Toppin (IEEE Data Eng. Bull., 2012)

(No)SQL Platform for Scalable Semantic Processing of Fast Growing Document Repositories. - Dominik Slezak; Krzysztof Stencel; Hung Son Nguyen (ERCIM News, 2012)

Unsupervised Similarity Learning from Textual Data. - Andrzej Janusz; Dominik Slezak; Hung Son Nguyen (Fundam. Informaticae, 2012)

RDBMS Model for Scientific Articles Analytics. - Marcin Kowalski; Dominik Slezak; Krzysztof Stencel; Przemyslaw Wiktor Pardel; Marek Grzegorowski; Michal Kijowski (Intelligent Tools for Building a Scientific Information Platform, 2012)

Semantic Search and Analytics over Large Repository of Scientific Articles. - Hung Son Nguyen; Dominik Slezak; Andrzej Skowron; Jan G. Bazan (Intelligent Tools for Building a Scientific Information Platform, 2012)

How to Design a Network of Comparators. - Lukasz Sosnowski; Dominik Slezak (Brain and Health Informatics, 2013)

Approximate Assistance for Correlated Subqueries. - Marcin Kowalski; Dominik Slezak; Piotr Synak (FedCSIS, 2013)

From topology to anti-reflexive topology. - Tsau Young Lin; Guilong Liu; Mihir K. Chakraborty; Dominik Slezak (FUZZ-IEEE, 2013)

Networks of compound object comparators. - Lukasz Sosnowski; Dominik Slezak (FUZZ-IEEE, 2013)

From Sensory Data to Decision Making: A Perspective on Supporting a Fire Commander. - Adam Krasuski; Andrzej Jankowski; Andrzej Skowron; Dominik Slezak (Web Intelligence/IAT Workshops, 2013)

Intelligent granulation of machine-generated data. - Dominik Slezak; Marcin Kowalski (IFSA/NAFIPS, 2013)

How deep data becomes big data. - Marcin S. Szczuka; Dominik Slezak (IFSA/NAFIPS, 2013)

Granular Attribute Selection: A Case Study of Rough Set Approach to MRI Segmentation. - Sebastian Widz; Dominik Slezak (PReMI, 2013)

Recent Advances in Decision Bireducts: Complexity, Heuristics and Streams. - Sebastian Stawicki; Dominik Slezak (RSKT, 2013)

Two Database Related Interpretations of Rough Approximations: Data Organization and Query Execution. - Dominik Slezak; Piotr Synak; Arkadiusz Wojna; Jakub Wroblewski (Fundam. Informaticae, 2013)

Preface. - Dominik Slezak; Hung Son Nguyen; Marcin S. Szczuka (Fundam. Informaticae, 2013)

Data mining and soft computing. - Sergei O. Kuznetsov; Dominik Slezak (Int. J. Gen. Syst., 2013)

Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence. - 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 001; et al. (Rough Sets and Intelligent Systems (1), 2013)

Key Risk Factors for Polish State Fire Service: a Data Mining Competition at Knowledge Pit. - Andrzej Janusz; Adam Krasuski; Sebastian Stawicki; Mariusz Rosiak; Dominik Slezak; Hung Son Nguyen (FedCSIS, 2014)

Complexity aspects of multi-machine aggregations in a rough-granular computation framework. - Piotr Synak; Dominik Slezak (GrC, 2014)

Random Probes in Computation and Assessment of Approximate Reducts. - Andrzej Janusz; Dominik Slezak (RSEISP, 2014)

Attribute Subset Quality Functions over a Universe of Weighted Objects. - Sebastian Widz; Dominik Slezak (RSEISP, 2014)

Rough Set Methods for Attribute Clustering and Selection. - Andrzej Janusz; Dominik Slezak (Appl. Artif. Intell., 2014)

Special section on applications of intelligent data and knowledge processing technologies - Preface. - Dominik Slezak (Future Gener. Comput. Syst., 2014)

Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". - Lala Septem Riza; Andrzej Janusz; Christoph Bergmeir; Chris Cornelis; Francisco Herrera; Dominik Slezak; José Manuel Benítez 001 (Inf. Sci., 2014)

Processing and mining complex data streams. - Jerzy Stefanowski; Alfredo Cuzzocrea; Dominik Slezak (Inf. Sci., 2014)

Granular modeling with fuzzy comparators. - Lukasz Sosnowski; Marcin S. Szczuka; Dominik Slezak (IEEE BigData, 2015)

Knowledge Pit - A Data Challenge Platform. - Andrzej Janusz; Dominik Slezak; Sebastian Stawicki; Mariusz Rosiak (CS&P, 2015)

adelta;-information reducts and bireducts. - Mo Jose Benitez; Jesús Medina 001; Dominik Slezak (IFSA-EUSFLAT, 2015)

Tagging Firefighter Activities at the emergency scene: Summary of AAIA'15 data mining competition at knowledge pit. - Michal Meina; Andrzej Janusz; Krzysztof Rykaczewski; Dominik Slezak; Bartosz Celmer; Adam Krasuski (FedCSIS, 2015)

Cost-sensitive regression-based recommender system. - Heng-Ru Zhang; Fan Min 001; Dominik Slezak; Bing Shi (ICMLC, 2015)

Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold. - Andrzej Janusz; Dominik Slezak (ISMIS, 2015)

Fuzzy Set Interpretation of Comparator Networks. - Lukasz Sosnowski; Dominik Slezak (PReMI, 2015)

Mining Data from Coal Mines: IJCRS'15 Data Challenge. - Andrzej Janusz; Marek Sikora; Lukasz Wróbel; Sebastian Stawicki; Marek Grzegorowski; Piotr Wojtas; Dominik Slezak (RSFDGrC, 2015)

On Generalized Decision Functions: Reducts, Networks and Ensembles. - Dominik Slezak (RSFDGrC, 2015)

Building Granular Systems - from Concepts to Applications. - Marcin S. Szczuka; Andrzej Jankowski; Andrzej Skowron; Dominik Slezak (RSFDGrC, 2015)

Rough Set Tools for Practical Data Exploration. - Andrzej Janusz; Sebastian Stawicki; Marcin S. Szczuka; Dominik Slezak (RSKT, 2015)

Preface. - Dominik Slezak; Benjamin C. M. Fung; William Kwok-Wai Cheung (Fundam. Informaticae, 2015)

Preface. - Dominik Slezak; Andrzej Skowron (Nat. Comput., 2015)

Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge. - Andrzej Janusz; Dominik Slezak; Marek Sikora; Lukasz Wróbel (FedCSIS, 2016)

Preface. - Davide Ciucci; Dominik Slezak; Marcin Wolski (Fundam. Informaticae, 2016)

On the role of feature space granulation in feature selection processes. - Marek Grzegorowski; Andrzej Janusz; Dominik Slezak; Marcin S. Szczuka (IEEE BigData, 2017)

Scalable cyber-security analytics with a new summary-based approximate query engine. - Dominik Slezak; Agnieszka Chadzynska-Krasowska; Joel Holland; Piotr Synak; Rick Glick; Marcin Perkowski (IEEE BigData, 2017)

Ordered Fuzzy Numbers: Sources and Intuitions. - Piotr Prokopowicz; Dominik Slezak (Theory and Applications of Ordered Fuzzy Numbers, 2017)

Ordered Fuzzy Numbers: Definitions and Operations. - Piotr Prokopowicz; Dominik Slezak (Theory and Applications of Ordered Fuzzy Numbers, 2017)

Learning in Comparator Networks. - Lukasz Sosnowski; Dominik Slezak (EUSFLAT/IWIFSGN (3), 2017)

ISMIS 2017 Data Mining Competition: Trading Based on Recommendations. - Mathurin Aché; Andrzej Janusz; Kamil Zbikowski; Dominik Slezak; Marzena Kryszkiewicz; Henryk Rybinski; Piotr Gawrysiak (ISMIS, 2017)

Scalable Machine Learning with Granulated Data Summaries: A Case of Feature Selection. - Agnieszka Chadzynska-Krasowska; Pawel Betlinski; Dominik Slezak (ISMIS, 2017)

A Metadata Diagnostic Framework for a New Approximate Query Engine Working with Granulated Data Summaries. - Agnieszka Chadzynska-Krasowska; Sebastian Stawicki; Dominik Slezak (IJCRS (1), 2017)

Toward Interactive Attribute Selection with Infolattices - A Position Paper. - Dominik Slezak; Marek Grzegorowski; Andrzej Janusz; Sebastian Stawicki (IJCRS (2), 2017)

Predicting seismic events in coal mines based on underground sensor measurements. - Andrzej Janusz; Marek Grzegorowski; Marcin Michalak 001; Lukasz Wróbel; Marek Sikora; Dominik Slezak (Eng. Appl. Artif. Intell., 2017)

Decision bireducts and decision reducts - a comparison. - Sebastian Stawicki; Dominik Slezak; Andrzej Janusz; Sebastian Widz (Int. J. Approx. Reason., 2017)

Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images. - Mateusz Przyborowski; Tomasz Tajmajer; Lukasz Grad; Andrzej Janusz; Piotr Biczyk; Dominik Slezak (IEEE BigData, 2018)

Similarity-based Detection of Fertile Days at OvuFriend. - Lukasz Sosnowski; Wojciech Chaber; Lukasz Milobedzki; Tomasz Penza; Jadwiga Sosnowska; Karol Zaleski; Joanna Fedorowicz; Iwona Szymusik; Dominik Slezak (IEEE BigData, 2018)

Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition. - Andrzej Janusz; Tomasz Tajmajer; Maciej Swiechowski; Lukasz Grad; Jacek Puczniewski; Dominik Slezak (FedCSIS, 2018)

Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games. - Andrzej Janusz; Lukasz Grad; Dominik Slezak (ICDM Workshops, 2018)

Granular Games in Real-Time Environment. - Maciej Swiechowski; Dominik Slezak (ICDM Workshops, 2018)

Ranking Mutual Information Dependencies in a Summary-based Approximate Analytics Framework. - Dominik Slezak; Janusz Borkowski; Agnieszka Chadzynska-Krasowska (HPCS, 2018)

How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics. - Andrzej Janusz; Sebastian Stawicki; Michal Drewniak; Krzysztof Ciebiera; Dominik Slezak; Krzysztof Stencel (IPMU (2), 2018)

Dynamic and Discernibility Characteristics of Different Attribute Reduction Criteria. - Dominik Slezak; Soma Dutta (IJCSR, 2018)

Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches. - Andrzej Janusz; Dominik Slezak (SMC, 2018)

SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players. - Andrzej Janusz; Dominik Slezak; Sebastian Stawicki; Krzysztof Stencel (WI, 2018)

Grail: A Framework for Adaptive and Believable AI in Video Games. - Maciej Swiechowski; Dominik Slezak (WI, 2018)

Toward Approximate Intelligence: Approximate Query Engines & Approximate Data Exploration. - Dominik Slezak (WWW (Companion Volume), 2018)

Boolean Representation for Exact Biclustering. - Marcin Michalak 001; Dominik Slezak (Fundam. Informaticae, 2018)

Bireducts with tolerance relations. - María José Benítez-Caballero; Jesús Medina 001; Eloísa Ramírez-Poussa; Dominik Slezak (Inf. Sci., 2018)

A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines. - Dominik Slezak; Marek Grzegorowski; Andrzej Janusz; Michal Kozielski; Sinh Hoa Nguyen; Marek Sikora; Sebastian Stawicki; Lukasz Wróbel (Inf. Sci., 2018)

A new approximate query engine based on intelligent capture and fast transformations of granulated data summaries. - Dominik Slezak; Rick Glick; Pawel Betlinski; Piotr Synak (J. Intell. Inf. Syst., 2018)

IEEE BigData 2019 Cup: Suspicious Network Event Recognition. - Andrzej Janusz; Daniel Kaluza; Agnieszka Chadzynska-Krasowska; Bartek Konarski; Joel Holland; Dominik Slezak (IEEE BigData, 2019)

Scalable Cloud-based ETL for Self-serving Analytics. - Eftim Zdravevski; Cas Apanowicz; Krzysztof Stencel; Dominik Slezak (ICDM, 2019)

Multivariate Ovulation Window Detection at OvuFriend. - Joanna Fedorowicz; Lukasz Sosnowski; Dominik Slezak; Iwona Szymusik; Wojciech Chaber; Lukasz Milobedzki; Tomasz Penza; Jadwiga Sosnowska; Katarzyna Wójcicka; Karol Zaleski (IJCRS, 2019)

On Boolean Representation of Continuous Data Biclustering. - Marcin Michalak 001; Dominik Slezak (Fundam. Informaticae, 2019)

On resilient feature selection: Computational foundations of r-C-reducts. - Marek Grzegorowski; Dominik Slezak (Inf. Sci., 2019)

Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results. - Andrzej Janusz; Guohua Hao; Daniel Kaluza; Tony Li; Robert Wojciechowski; Dominik Slezak (IEEE BigData, 2020)

Reinventing Infobright's Concept of Rough Calculations on Granulated Tables for the Purpose of Accelerating Modern Data Processing Frameworks. - Mateusz Wnuk; Sebastian Stawicki; Dominik Slezak (IEEE BigData, 2020)

Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. - Andrzej Janusz; Mateusz Przyborowski; Piotr Biczyk; Dominik Slezak (FedCSIS, 2020)

Introducing LogDL - Log Description Language for Insights from Complex Data. - Maciej Swiechowski; Dominik Slezak (FedCSIS, 2020)

Introducing AI/ML Components into Software Systems. - Dominik Slezak (ICSOFT, 2020)

On Positive-Correlation-Promoting Reducts. - Joanna Henzel; Andrzej Janusz; Marek Sikora; Dominik Slezak (IJCRS, 2020)

Approximate Decision Tree Induction over Approximately Engineered Data Features. - Dominik Slezak; Agnieszka Chadzynska-Krasowska (IJCRS, 2020)

The Problem of Finding the Simplest Classifier Ensemble is NP-Hard - A Rough-Set-Inspired Formulation Based on Decision Bireducts. - Dominik Slezak; Sebastian Stawicki (IJCRS, 2020)

Heuristic Search of Exact Biclusters in Binary Data. - Marcin Michalak 001; Roman Jaksik; Dominik Slezak (Int. J. Appl. Math. Comput. Sci., 2020)

From Big Data to business analytics: The case study of churn prediction. - Eftim Zdravevski; Petre Lameski; Cas Apanowicz; Dominik Slezak (Appl. Soft Comput., 2020)

Rough-set-driven approach for attribute reduction in fuzzy formal concept analysis. - María José Benítez-Caballero; Jesús Medina 001; Eloísa Ramírez-Poussa; Dominik Slezak (Fuzzy Sets Syst., 2020)

A computational procedure for variable selection preserving different initial conditions. - María José Benítez-Caballero; Jesús Medina 001; Eloísa Ramírez-Poussa; Dominik Slezak (Int. J. Comput. Math., 2020)

Research on Heuristic Optimization and Operations in IoT. - Dominik Slezak; Dobroslav Kovác; Mauro Iacono; Jacek M. Czerniak (J. Univers. Comput. Sci., 2020)

Predicting Victories in Video Games - IEEE BigData 2021 Cup Report. - Maciej Matraszek; Andrzej Janusz; Maciej Swiechowski; Dominik Slezak (IEEE BigData, 2021)

Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. - Marek Grzegorowski; Eftim Zdravevski; Andrzej Janusz; Petre Lameski; Cas Apanowicz; Dominik Slezak (Big Data Res., 2021)

Schema matching using Gaussian mixture models with Wasserstein distance. - Mateusz Przyborowski; Mateusz Pabis; Andrzej Janusz; Dominik Slezak (CoRR, 2021)

Preface: Information Granulation in Data Science and Scalable Computing. - Dominik Slezak; Tzung-Pei Hong; Leon S. L. Wang (Fundam. Informaticae, 2021)

Tensor-based Approach to Big Data Processing and Machine Learning. - Maciej Bartoszuk; Jaroslaw Litwin; Mateusz Wnuk; Dominik Slezak (IEEE Big Data, 2022)

EVEAL - Expected Variance Estimation for Active Learning. - Daniel Kaluza; Andrzej Janusz; Dominik Slezak (IEEE Big Data, 2022)

Approximation of the expectation-maximization algorithm for Gaussian mixture models on big data. - Mateusz Przyborowski; Dominik Slezak (IEEE Big Data, 2022)

IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images. - Marcin S. Szczuka; Andrzej Janusz; Boguslaw Cyganek; Jakub Grabek; Lukasz Przebinda; Andzelika Zalewska; Andrzej Bukala; Dominik Slezak (IEEE Big Data, 2022)

KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions. - Andrzej Janusz; Dominik Slezak (FedCSIS, 2022)

Rough Sets Turn 40: From Information Systems to Intelligent Systems. - Andrzej Skowron; Dominik Slezak (FedCSIS, 2022)

Formal concept analysis, rough sets, and three-way decisions. - JingTao Yao 001; Jesús Medina 001; Yan Zhang 030; Dominik Slezak (Int. J. Approx. Reason., 2022)

Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players. - Andrzej Janusz; Daniel Kaluza; Maciej Matraszek; Lukasz Grad; Maciej Swiechowski; Dominik Slezak (Inf. Sci., 2022)

IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays. - Mateusz Wnuk; Jan Dziuba; Andrzej Janusz; Dominik Slezak (IEEE Big Data, 2023)

Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. - Daniel Kaluza; Andrzej Janusz; Dominik Slezak (ECAI, 2023)

Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report. - Andrzej Janusz; Dominik Slezak (ICME Workshops, 2023)

On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning. - Daniel Kaluza; Andrzej Janusz; Dominik Slezak (IJCRS, 2023)

Data Infrastructures and Management - Introduction to the Special Theme. - Manolis Terrovitis; Dominik Slezak (ERCIM News, 2023)

Diagnostic Explainability by BrightBox. - Andzelika Zalewska-Küpçü; Andrzej Janusz; Dominik Slezak (ERCIM News, 2023)

BrightBox - A rough set based technology for diagnosing mistakes of machine learning models. - Andrzej Janusz; Andzelika Zalewska; Lukasz Wawrowski; Piotr Biczyk; Jan Ludziejewski; Marek Sikora; Dominik Slezak (Appl. Soft Comput., 2023)

A practical study of methods for deriving insightful attribute importance rankings using decision bireducts. - Andrzej Janusz; Dominik Slezak; Sebastian Stawicki; Krzysztof Stencel (Inf. Sci., 2023)

Do Data Scientists Dream About Their Skills' Assessment? - Transforming a Competition Platform Into an Assessment Platform. - Dominik Slezak; Andrzej Janusz; Maciej Swiechowski; Agnieszka Chadzynska-Krasowska; Jacek Kaminski (IEEE Big Data, 2024)

IEEE Big Data Cup 2024 Report: Predicting Chess Puzzle Difficulty at KnowledgePit.ai. - Jan Zysko; Maciej Swiechowski; Sebastian Stawicki; Katarzyna Jagiela; Andrzej Janusz; Dominik Slezak (IEEE Big Data, 2024)

QEDrants - Data Quality Quadrants for Business Users and Decision-Makers. - Alina Powala; Dominik Slezak (FedCSIS (Position Papers), 2024)

Predicting Stock Trends Using Common Financial Indicators: A Summary of FedCSIS 2024 Data Science Challenge Held on KnowledgePit.ai Platform. - Aleksandar M. Rakicevic; Pavle D. Milosevic; Ivana T. Dragovic; Ana M. Poledica; Milica M. Zukanovic; Andrzej Janusz; Dominik Slezak (FedCSIS, 2024)

Parametrized γ-Decision Valuation for Variable Precision Rough Set Model. - Soma Dutta; Dominik Slezak (IJCRS (1), 2024)

Consideration of Detecting Data and Functional Dependency in Tabular Data with Missing Values by the Obtained Rules. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak; Junzo Watada (IJCRS (1), 2024)

On Tolerance-Based Rough Set Operators and Their Covering Generalizations. - Piotr Wasilewski; Dominik Slezak (IJCRS (1), 2024)

Nature of decision valuations in elimination of redundant attributes. - Soma Dutta; Dominik Slezak (Int. J. Approx. Reason., 2024)

The Many Challenges of Human-Like Agents in Virtual Game Environments. - Maciej Swiechowski; Dominik Slezak (AAMAS, 2025)

On explainability of cluster prototypes with rough sets: A case study in the FMCG market. - Marek Grzegorowski; Andrzej Janusz; Lukasz Marcinowski; Andrzej Skowron; Dominik Slezak; Grzegorz Sliwa (Int. J. Appl. Math. Comput. Sci., 2025)

Evidence-theoretical modeling of uncertainty induced by posterior probability distributions. - Daniel Kaluza; Andrzej Janusz; Dominik Slezak (Int. J. Appl. Math. Comput. Sci., 2025)

Multi-criteria selection of data clustering methods for e-commerce personalization. - Elzbieta Pawelek-Lubera; Mateusz Przyborowski; Dominik Slezak; Adam Wasilewski (Appl. Soft Comput., 2025)

Rule generation in Rough set Non-deterministic Information Analysis (RNIA) and some applications of the obtained rules. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak; Junzo Watada (Appl. Soft Comput., 2025)

Large-Scale Data Analysis ? Software Infrastructure and Application Domains - Introduction to the Special Theme. - András Benczúr; Dominik Slezak (ERCIM News, 2025)