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Jan G. Bazan
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2020 – today
- 2023
- [j26]Ewa Rak, Adam Szczur
, Jan G. Bazan, Stanislawa Bazan-Socha:
Assessment measures of an ensemble classifier based on the distributivity equation to predict the presence of severe coronary artery disease. Int. J. Appl. Math. Comput. Sci. 33(3) (2023) - [c40]Jan G. Bazan, Pawel Milan, Stanislawa Bazan-Socha, Krzysztof Wójcik:
Application of Federated Learning to Prediction of Patient Mortality in Vasculitis Disease. IJCRS 2023: 526-536 - 2022
- [j25]Urszula Bentkowska
Interval modelling in optimization of k- N N classifiers for large number of attributes in data sets on an example of DNA microarrays. Int. J. Intell. Syst. 37(6): 3334-3372 (2022) - [c39]Jan G. Bazan, Stanislawa Bazan-Socha, Urszula Bentkowska, Wojciech Galka, Marcin Mrukowicz, Lech Zareba:
Comparison of aggregation classes in ensemble classifiers for high dimensional datasets. FUZZ-IEEE 2022: 1-10 - 2020
- [j24]Feng-Xia Zhang, Ewa Rak
On the distributivity of continuous triangular norms and triangular conorms with respect to 2-uninorms. Fuzzy Sets Syst. 395: 168-177 (2020) - [j23]Pawel Drygas
Application of Uninorms to Aggregate Uncertainty from Many Classifiers. J. Autom. Mob. Robotics Intell. Syst. 13(4): 85-90 (2020) - [j22]Jan G. Bazan
Effective construction of classifiers with the k-NN method supported by a concept ontology. Knowl. Inf. Syst. 62(4): 1497-1510 (2020) - [c38]Jan G. Bazan
A new method of building a more effective ensemble classifiers. FUZZ-IEEE 2020: 1-6 - [c37]Urszula Bentkowska, Jan G. Bazan
Multi-class classification problems for the k-NN algorithm in the case of missing values. FUZZ-IEEE 2020: 1-8 - [c36]Barbara Pekala
Application of similarity measures with uncertainty in classification methods. FUZZ-IEEE 2020: 1-8 - [c35]Ewa Rak
The distributivity law as a tool of k-NN classifiers' aggregation: mining a cyber-attack data set. FUZZ-IEEE 2020: 1-8
2010 – 2019
- 2019
- [j21]Jan G. Bazan
A Classifier Based on a Decision Tree with Temporal Cuts. Fundam. Informaticae 165(3-4): 263-281 (2019) - [j20]Urszula Bentkowska
Application of interval-valued aggregation to optimization problem of k-NN classifiers for missing values case. Inf. Sci. 486: 434-449 (2019) - [j19]Lukasz Maciura, Jan G. Bazan:
Correction to: Granular computing in mosaicing of images from capsule endoscopy. Nat. Comput. 18(3): 675 (2019) - 2017
- [c34]Sylwia Buregwa-Czuma, Jan G. Bazan
Resolving the Conflicts Between Cuts in a Decision Tree with Verifying Cuts. IJCRS (2) 2017: 403-422 - 2016
- [j18]Jan G. Bazan, Stanislawa Bazan-Socha, Sylwia Buregwa-Czuma, Lukasz Dydo, Wojciech Rzasa
A Classifier Based on a Decision Tree with Verifying Cuts. Fundam. Informaticae 143(1-2): 1-18 (2016) - [j17]Jan G. Bazan, Adam Szczur
Classifiers for Behavioral Patterns Identification Induced from Huge Temporal Data. Fundam. Informaticae 143(1-2): 19-34 (2016) - [j16]Sylwia Buregwa-Czuma, Jan G. Bazan, Lech Zareba
The Method for Describing Changes in the Perception of Stenosis in Blood Vessels Caused by an Additional Drug. Fundam. Informaticae 147(2-3): 193-207 (2016) - [c33]Lukasz Dydo, Jan G. Bazan, Sylwia Buregwa-Czuma, Wojciech Rzasa
Verifying cuts as a tool for improving a classifier based on a decision tree. FedCSIS 2016: 17-20 - 2015
- [j15]Lukasz Maciura, Jan G. Bazan:
Granular computing in mosaicing of images from capsule endoscopy. Nat. Comput. 14(4): 569-577 (2015) - [j14]Jan G. Bazan, Sylwia Buregwa-Czuma, Przemyslaw Wiktor Pardel, Stanislawa Bazan-Socha, Barbara Sokolowska, Sylwia Dziedzina:
Predicting the Presence of Serious Coronary Artery Disease Based on 24 Hour Holter ECG Monitoring. Trans. Rough Sets 19: 95-113 (2015) - [c32]Przemyslaw Wiktor Pardel, Jan G. Bazan, Jacek Zarychta, Stanislawa Bazan-Socha:
Automatic Medical Objects Classification Based on Data Sets and Domain Knowledge. BDAS 2015: 415-424 - [c31]Przemyslaw Wiktor Pardel, Jan G. Bazan, Jacek Zarychta, Stanislawa Bazan-Socha:
An Approach for Resolving Conflicts in Automatic Medical Objects Classification. CS&P 2015: 73-84 - [c30]Sylwia Buregwa-Czuma, Jan G. Bazan, Lech Zareba, Stanislawa Bazan-Socha, Przemyslaw Wiktor Pardel, Barbara Sokolowska, Lukasz Dydo:
The Method for Describing Changes in the Perception of Stenosis in Blood Vessels Caused by an Additional Drug. CS&P 2015: 115-125 - [c29]Marcin Szpyrka, Adam Szczur
Extracting of temporal patterns from data for hierarchical classifiers construction. CYBCONF 2015: 330-335 - [c28]Przemyslaw Wiktor Pardel, Jan G. Bazan, Jacek Zarychta, Stanislawa Bazan-Socha:
A two-level classifier for automatic medical objects classification. FedCSIS 2015: 139-143 - [e1]James F. Peters, Andrzej Skowron, Dominik Slezak
Transactions on Rough Sets XIX. Lecture Notes in Computer Science 8988, Springer 2015, ISBN 978-3-662-47814-1 [contents] - 2014
- [c27]Jan G. Bazan, Stanislawa Bazan-Socha, Sylwia Buregwa-Czuma, Lukasz Dydo, Wojciech Rzasa, Andrzej Skowron:
A Classifier Based on a Decision Tree with Verifying Cuts. CS&P 2014: 13-21 - [c26]Jan G. Bazan, Marcin Szpyrka, Adam Szczur, Lukasz Dydo, Hubert Wojtowicz:
Classifiers for Behavioral Patterns Identification Induced from Huge Temporal Data. CS&P 2014: 22-33 - 2013
- [j13]Jan G. Bazan, Sylwia Buregwa-Czuma, Andrzej Jankowski:
A Domain Knowledge as a Tool For Improving Classifiers. Fundam. Informaticae 127(1-4): 495-511 (2013) - [p2]Jan G. Bazan, Stanislawa Bazan-Socha, Sylwia Buregwa-Czuma, Przemyslaw Wiktor Pardel, Andrzej Skowron
Classifiers Based on Data Sets and Domain Knowledge: A Rough Set Approach. Rough Sets and Intelligent Systems (2) 2013: 93-136 - 2012
- [j12]Andrzej Skowron, Jaroslaw Stepaniuk
Rough Set Based Reasoning About Changes. Fundam. Informaticae 119(3-4): 421-437 (2012) - [c25]Jan G. Bazan, Stanislawa Bazan-Socha, Sylwia Buregwa-Czuma, Przemyslaw Wiktor Pardel, Barbara Sokolowska:
Predicting the presence of serious coronary artery disease based on 24 hour Holter ECG monitoring. FedCSIS 2012: 279-286 - [c24]Andrzej Skowron, Jaroslaw Stepaniuk
Rough Derivatives as Dynamic Granules in Rough Granular Calculus. IPMU (1) 2012: 321-330 - [c23]Jan G. Bazan, Stanislawa Bazan-Socha, Sylwia Buregwa-Czuma, Przemyslaw Wiktor Pardel, Barbara Sokolowska:
Prediction of Coronary Arteriosclerosis in Stable Coronary Heart Disease. IPMU (2) 2012: 550-559 - [p1]Hung Son Nguyen
Semantic Search and Analytics over Large Repository of Scientific Articles. Intelligent Tools for Building a Scientific Information Platform 2012: 1-8 - 2011
- [c22]Dominik Slezak, Andrzej Janusz
Semantic Analytics of PubMed Content. USAB 2011: 63-74 - 2010
- [c21]Marcin Wojnarski, Andrzej Janusz
RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment. RSCTC 2010: 4-19
2000 – 2009
- 2009
- [c20]Andrzej Skowron
Interactive Rough-Granular Computing in Pattern Recognition. PReMI 2009: 92-97 - 2008
- [j11]Grzegorz Góra, Piotr Kruczek, Andrzej Skowron, Jan G. Bazan, Stanislawa Bazan-Socha, Jacek J. Pietrzyk:
Case-based Planning of Treatment of Infants with Respiratory Failure. Fundam. Informaticae 85(1-4): 155-172 (2008) - [j10]Jan G. Bazan:
Hierarchical Classifiers for Complex Spatio-temporal Concepts. Trans. Rough Sets 9: 474-750 (2008) - 2007
- [j9]Jan G. Bazan, Piotr Kruczek, Stanislawa Bazan-Socha, Andrzej Skowron, Jacek J. Pietrzyk:
Rough Set Approach to Behavioral Pattern Identification. Fundam. Informaticae 75(1-4): 27-47 (2007) - 2006
- [j8]Jan G. Bazan:
Behavioral Pattern Identification Through Rough Set Modeling. Fundam. Informaticae 72(1-3): 37-50 (2006) - [j7]Jan G. Bazan, Andrzej Skowron, Roman W. Swiniarski:
Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning. Trans. Rough Sets 5: 39-62 (2006) - [j6]Andrzej Skowron, Hui Wang, Arkadiusz Wojna, Jan G. Bazan:
Multimodal Classification: Case Studies. Trans. Rough Sets 5: 224-239 (2006) - [c19]Jan G. Bazan, Rafal Latkowski
Missing Template Decomposition Method and Its Implementation in Rough Set Exploration System. RSCTC 2006: 254-263 - [c18]Jan G. Bazan, Piotr Kruczek, Stanislawa Bazan-Socha, Andrzej Skowron, Jacek J. Pietrzyk:
Automatic Planning of Treatment of Infants with Respiratory Failure Through Rough Set Modeling. RSCTC 2006: 418-427 - 2005
- [j5]Jaroslaw Stepaniuk, Jan G. Bazan, Andrzej Skowron:
Modelling Complex Patterns by Information Systems. Fundam. Informaticae 67(1-3): 203-217 (2005) - [j4]Piotr Synak, Jan G. Bazan, Andrzej Skowron, James F. Peters:
Spatio-Temporal Approximate Reasoning over Complex Objects. Fundam. Informaticae 67(1-3): 249-269 (2005) - [j3]Jan G. Bazan, Marcin S. Szczuka:
The Rough Set Exploration System. Trans. Rough Sets 3: 37-56 (2005) - [c17]Jan G. Bazan, Andrzej Skowron
On-Line Elimination of Non-relevant Parts of Complex Objects in Behavioral Pattern Identification. PReMI 2005: 720-725 - [c16]Jan G. Bazan, Rafal Latkowski
DIXER - Distributed Executor for Rough Set Exploration System. RSFDGrC (2) 2005: 39-47 - [c15]Andrzej Skowron
A Hierarchical Approach to Multimodal Classification. RSFDGrC (2) 2005: 119-127 - [c14]Jan G. Bazan, James F. Peters, Andrzej Skowron
Behavioral Pattern Identification Through Rough Set Modelling. RSFDGrC (2) 2005: 688-697 - 2004
- [j2]Jan G. Bazan, Hung Son Nguyen, Marcin S. Szczuka:
A View on Rough Set Concept Approximations. Fundam. Informaticae 59(2-3): 107-118 (2004) - [j1]Sinh Hoa Nguyen, Jan G. Bazan, Andrzej Skowron, Hung Son Nguyen
Layered Learning for Concept Synthesis. Trans. Rough Sets 1: 187-208 (2004) - [c13]Jan G. Bazan, Andrzej Skowron:
Classifiers Based on Approximate Reasoning Schemes. MSRAS 2004: 191-202 - [c12]Jan G. Bazan, Sinh Hoa Nguyen, Hung Son Nguyen
Rough Set Methods in Approximation of Hierarchical Concepts. Rough Sets and Current Trends in Computing 2004: 346-355 - [c11]Jan G. Bazan:
Classifiers Based on Two-Layered Learning. Rough Sets and Current Trends in Computing 2004: 356-361 - [c10]Jan G. Bazan, Marcin S. Szczuka, Arkadiusz Wojna, Marcin Wojnarski:
On the Evolution of Rough Set Exploration System. Rough Sets and Current Trends in Computing 2004: 592-601 - 2003
- [c9]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 - [c8]Jan G. Bazan, Hung Son Nguyen, Andrzej Skowron, Marcin S. Szczuka:
A View on Rough Set Concept Approximations. RSFDGrC 2003: 181-188 - [c7]Jan G. Bazan, James F. Peters, Andrzej Skowron
Rough Set Approach to Pattern Extraction from Classifiers. RSKD 2003: 20-29 - 2002
- [c6]Jan G. Bazan, Marcin S. Szczuka, Jakub Wroblewski:
A New Version of Rough Set Exploration System. Rough Sets and Current Trends in Computing 2002: 397-404 - [c5]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 - 2000
- [c4]Jan G. Bazan, Marcin S. Szczuka
RSES and RSESlib - A Collection of Tools for Rough Set Computations. Rough Sets and Current Trends in Computing 2000: 106-113
1990 – 1999
- 1998
- [c3]Jan G. Bazan:
Discovery of Decision Rules by Matching New Objects Against Data Tables. Rough Sets and Current Trends in Computing 1998: 521-528 - 1995
- [c2]Jan G. Bazan, Hung Son Nguyen, Tuan Trung Nguyen, Andrzej Skowron, Jaroslaw Stepaniuk:
Application of Modal Logics and Rough Sets for Classifying Objects. WOCFAI 1995: 15-26 - 1994
- [c1]Jan G. Bazan, Andrzej Skowron, Piotr Synak:
Dynamic Reducts as a Tool for Extracting Laws from Decisions Tables. ISMIS 1994: 346-355
Coauthor Index
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