| 2009 |
|---|
| 58 | EE | 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) |
| 2008 |
|---|
| 57 | | 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
Springer 2008 |
| 56 | EE | Dominik Slezak,
Jakub Wroblewski,
Victoria Eastwood,
Piotr Synak:
Rough Sets in Data Warehousing.
RSCTC 2008: 505-507 |
| 55 | EE | Chris Cornelis,
Germán Hurtado Martín,
Richard Jensen,
Dominik Slezak:
Feature Selection with Fuzzy Decision Reducts.
RSKT 2008: 284-291 |
| 54 | EE | Dominik Slezak,
Jakub Wroblewski,
Victoria Eastwood,
Piotr Synak:
Brighthouse: an analytic data warehouse for ad-hoc queries.
PVLDB 1(2): 1337-1345 (2008) |
| 2007 |
|---|
| 53 | | 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
Springer 2007 |
| 52 | | 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
Springer 2007 |
| 51 | EE | 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 |
| 50 | EE | Sebastian Widz,
Dominik Slezak:
Approximation Degrees in Decision Reduct-Based MRI Segmentation.
FBIT 2007: 431-436 |
| 49 | EE | Dominik Slezak:
Rough Sets and Few-Objects-Many-Attributes Problem: The Case Study of Analysis of Gene Expression Data Sets.
FBIT 2007: 437-442 |
| 48 | EE | Dominik Slezak,
Piotr Wasilewski:
Granular Sets - Foundations and Case Study of Tolerance Spaces.
RSFDGrC 2007: 435-442 |
| 47 | EE | Dominik Slezak,
Marcin S. Szczuka:
Rough Neural Networks for Complex Concepts.
RSFDGrC 2007: 574-582 |
| 46 | EE | Timothy Maciag,
Daryl H. Hepting,
Dominik Slezak,
Robert J. Hilderman:
Mining Associations for Interface Design.
RSKT 2007: 109-117 |
| 45 | EE | Dominik Slezak,
Jakub Wroblewski:
Roughfication of Numeric Decision Tables: The Case Study of Gene Expression Data.
RSKT 2007: 316-323 |
| 44 | EE | Piotr Synak,
Dominik Slezak:
Descriptors and Templates in Relational Information Systems.
RSKT 2007: 403-410 |
| 2006 |
|---|
| 43 | EE | Piotr Synak,
Dominik Slezak:
Tolerance Based Templates for Information Systems: Foundations and Perspectives.
ICHIT 2006: 11-19 |
| 42 | EE | Dominik Slezak:
Association Reducts: Complexity and Heuristics.
RSCTC 2006: 157-164 |
| 41 | EE | Dominik Slezak:
Association Reducts: Boolean Representation.
RSKT 2006: 305-312 |
| 40 | EE | Alicja Gruzdz,
Aleksandra Ihnatowicz,
Dominik Slezak:
Interactive Gene Clustering-A Case Study of Breast Cancer Microarray Data.
Information Systems Frontiers 8(1): 21-27 (2006) |
| 39 | EE | 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) |
| 2005 |
|---|
| 38 | | 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
Springer 2005 |
| 37 | | 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
Springer 2005 |
| 36 | EE | Dominik Slezak:
Association Reducts: A Framework for Mining Multi-attribute Dependencies.
ISMIS 2005: 354-363 |
| 35 | EE | Alicja Gruzdz,
Aleksandra Ihnatowicz,
Dominik Slezak:
Interactive SOM-Based Gene Grouping: An Approach to Gene Expression Data Analysis.
ISMIS 2005: 514-523 |
| 34 | | Alicja Gruzdz,
Aleksandra Ihnatowicz,
Dominik Slezak:
Gene Expression Clustering: Dealing with the Missing Values.
Intelligent Information Systems 2005: 521-530 |
| 33 | EE | Mohammad M. Rahman,
Dominik Slezak,
Jakub Wroblewski:
Parallel Island Model for Attribute Reduction.
PReMI 2005: 714-719 |
| 32 | EE | Sebastian Widz,
Kenneth Revett,
Dominik Slezak:
A Rough Set-Based Magnetic Resonance Imaging Partial Volume Detection System.
PReMI 2005: 756-761 |
| 31 | EE | Sebastian Widz,
Kenneth Revett,
Dominik Slezak:
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts.
RSFDGrC (2) 2005: 372-382 |
| 30 | EE | Dominik Slezak,
Wojciech Ziarko:
The investigation of the Bayesian rough set model.
Int. J. Approx. Reasoning 40(1-2): 81-91 (2005) |
| 29 | EE | Dominik Slezak:
Rough Sets and Bayes Factor.
T. Rough Sets: 202-229 (2005) |
| 2004 |
|---|
| 28 | EE | Witold Kosinski,
Piotr Prokopowicz,
Dominik Slezak:
Calculus with Fuzzy Numbers.
IMTCI 2004: 21-28 |
| 27 | EE | Dominik Slezak:
The Rough Bayesian Model for Distributed Decision Systems.
Rough Sets and Current Trends in Computing 2004: 384-393 |
| 26 | EE | Dominik Slezak,
Marcin S. Szczuka,
Jakub Wroblewski:
Harnessing Classifier Networks ? Towards Hierarchical Concept Construction.
Rough Sets and Current Trends in Computing 2004: 554-560 |
| 25 | EE | 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 |
|---|
| 24 | | Witold Kosinski,
Piotr Prokopowicz,
Dominik Slezak:
Algebraic Operations on Fuzzy Numbers.
IIS 2003: 353-362 |
| 23 | | Alicja Wieczorkowska,
Jakub Wroblewski,
Dominik Slezak,
Piotr Synak:
Problems with Automatic Classification of Musical Sounds.
IIS 2003: 423-430 |
| 22 | EE | 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 |
| 21 | EE | Dominik Slezak,
Jakub Wroblewski,
Marcin S. Szczuka:
Constructing Extensions of Bayesian Classifiers with Use of Normalizing Neural Networks.
ISMIS 2003: 408-416 |
| 20 | EE | Dominik Slezak,
Jakub Wroblewski:
Order Based Genetic Algorithms for the Search of Approximate Entropy Reducts.
RSFDGrC 2003: 308-311 |
| 19 | EE | Dominik Slezak,
Wojciech Ziarko:
Variable Precision Bayesian Rough Set Model.
RSFDGrC 2003: 312-315 |
| 18 | EE | Dominik Slezak,
Wojciech Ziarko:
Attribute Reduction in the Bayesian Version of Variable Precision Rough Set Model.
Electr. Notes Theor. Comput. Sci. 82(4): (2003) |
| 17 | EE | Dominik Slezak,
Jakub Wroblewski,
Marcin S. Szczuka:
Neural Network Architecture for Synthesis of the Probabilistic Rule Based Classifiers.
Electr. Notes Theor. Comput. Sci. 82(4): (2003) |
| 16 | | 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) |
| 2002 |
|---|
| 15 | EE | Dominik Slezak,
Piotr Synak,
Alicja Wieczorkowska,
Jakub Wroblewski:
KDD-Based Approach to Musical Instrument Sound Recognition.
ISMIS 2002: 28-36 |
| 14 | | Witold Kosinski,
Piotr Prokopowicz,
Dominik Slezak:
Fuzzy Reals with Algebraic Operations: Algorithmic Approach.
Intelligent Information Systems 2002: 311-320 |
| 13 | EE | Dominik Slezak,
Jakub Wroblewski:
Approximate Bayesian Network Classifiers.
Rough Sets and Current Trends in Computing 2002: 365-372 |
| 12 | EE | 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 |
| 11 | EE | Dominik Slezak:
Approximate Entropy Reducts.
Fundam. Inform. 53(3-4): 365-390 (2002) |
| 2001 |
|---|
| 10 | EE | Rafal Deja,
Dominik Slezak:
Rough Set Theory in Conflict Analysis.
JSAI Workshops 2001: 349-353 |
| 9 | EE | Dominik Slezak:
Classification Models Based on Approximate Bayesian Networks.
JSAI Workshops 2001: 364-369 |
| 2000 |
|---|
| 8 | EE | 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 |
| 7 | EE | Dominik Slezak,
Jakub Wroblewski:
Application of Normalized Decision Measures to the New Case Classification.
Rough Sets and Current Trends in Computing 2000: 553-560 |
| 6 | | Dominik Slezak:
Normalized Decision Functions and Measures for Inconsistent Decision Tables Analysis.
Fundam. Inform. 44(3): 291-319 (2000) |
| 1999 |
|---|
| 5 | | Dominik Slezak,
Jakub Wroblewski:
Classification Algorithms Based on Linear Combinations of Features.
PKDD 1999: 548-553 |
| 4 | | Hung Son Nguyen,
Dominik Slezak:
Approximate Reducts and Association Rules - Correspondence and Complexity Results.
RSFDGrC 1999: 137-145 |
| 1998 |
|---|
| 3 | EE | Dominik Slezak:
Searching for Frequential Reducts in Decision Tables with Uncertain Objects.
Rough Sets and Current Trends in Computing 1998: 52-59 |
| 1997 |
|---|
| 2 | | Dominik Slezak:
Decision Value Oriented Decomposition of Data Tables.
ISMIS 1997: 487-496 |
| 1 | | Hung Son Nguyen,
Marcin S. Szczuka,
Dominik Slezak:
Neural Networks Design: Rough Set Approach to Continuous Data.
PKDD 1997: 359-366 |
