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ORCIDIJCRS 2024: Halifax, NS, Canada - Part I
- 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
Rough Set Models and Foundations
- Mauricio Restrepo, Chris Cornelis:
Mapper-Based Rough Sets. 3-17 - Piotr Wasilewski, Dominik Slezak:
On Tolerance-Based Rough Set Operators and Their Covering Generalizations. 18-33 - Soma Dutta, Dominik Slezak:
Parametrized γ-Decision Valuation for Variable Precision Rough Set Model. 34-49 - A. Mani:
Rough Algebraic Semantics of Concepts in a Distributed Cognition Perspective. 50-66 - Krishna Manoorkar, Andrea De Domenico, Alessandra Palmigiano:
Description Logic for Rough Concepts. 67-89
Rule Induction and Machine Learning
- Azimkhon Ostonov, Mikhail Moshkov:
Greedy Algorithm for Construction of Deterministic Decision Trees for Conventional Decision Tables from Closed Classes. 93-104 - Malgorzata Przybyla-Kasperek, Rafal Deja:
Study of Dependency Degree and Bayesian Networks for Conflict Scenarios. 105-119 - 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. 120-133 - Amrit Kumar, Niladri Chatterjee:
Distance-Based Fuzzy-Rough Sets and Their Application to the Classification Problem. 134-156 - Michinori Nakata, Hiroshi Sakai, Takeshi Fujiwara:
Dealing with Missing Values Meaning Unknown in Probabilistic Approximations. 157-172 - Azimkhon Ostonov, Mikhail Moshkov:
On Complexity of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-Valued Decisions from Closed Classes. 173-187 - Kerven Durdymyradov, Mikhail Moshkov:
Simulating Functioning of Decision Trees for Tasks on Decision Rule Systems. 188-200 - Grzegorz Góra, Andrzej Skowron:
RIONIDA: A Novel Algorithm for Imbalanced Data Combining Instance-Based Learning and Rule Induction. 201-219
Granular Computing
- Soma Dutta, Andrzej Skowron:
Information System in the Light of Interactive Granular Computing. 223-237 - Lixi Zhao, Zhifei Zhang, Wenjun Liu, Guangming Lang:
GBTWSVM: Granular-Ball Twin Support Vector Machine. 238-251 - Yueyang Li, Siheng Chen, Guangming Lang:
Fuzzy Granular-Balls Based Spectral Clustering. 252-265 - Hajime Okawa, Yasuo Kudo, Tetsuya Murai:
A Vector Is a Granule: A Novel Extension of the Variable Precision Rough Set Model. 266-282
Rough Set Applications
- Zhaoyi Li, Zihao Li, Xiaodong Yue:
Cross-Weighting Knowledge Distillation for Object Detection. 285-299 - Jianfeng Xiao, Qun Liu, Xin Huang:
A Method of Multi-USV Reward Design Using Fuzzy Control. 300-313 - Fuchuan Xiang, Jianhang Tang, Shaobo Li, Guoyin Wang, Ji Xu:
Hyp-DAN: Hyperbolic Distance-Aware Attention Networks. 314-328 - Jun Wang, Cory J. Butz:
Optimizing Rough Set Flow Graph Inference. 329-342 - Siddharth Kelkar, Srinivasa Ravi, Sheela Ramanna, Anand Kumar Madasamy:
Multimodal Propaganda Detection in Memes with Tolerance-Based Soft Computing Method. 343-351
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