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ORCID21st MDAI 2024: Tokyo, Japan
- Vicenç Torra
, Yasuo Narukawa, Hiroaki Kikuchi:
Modeling Decisions for Artificial Intelligence - 21st International Conference, MDAI 2024, Tokyo, Japan, August 27-31, 2024, Proceedings. Lecture Notes in Computer Science 14986, Springer 2024, ISBN 978-3-031-68207-0
Invited Talks
- Yasuo Narukawa, Katsushige Fujimoto, Vicenç Torra, Zuzana Ontkovicová:
The Past and Future of Fuzzy Measures and Fuzzy Integrals - -In Memory of Prof. Michio Sugeno. 3-7 - Homei Miyashita:
Taste Media: Innovative Technology Transforms the Eating Experience. 8-16
Fuzzy Measures and Integrals
- Ryoji Fukuda, Aoi Honda, Yoshiaki Okazaki:
An Axiomatic Definition of Non-discrete Möbius transform. 19-30 - Adnan Theerens, Chris Cornelis:
Fuzzy Rough Choquet Distances. 31-43
Uncertainty in AI
- Mateu Sbert, Min Chen, Jordi Poch, Miquel Feixas, Shuning Chen:
Entropies from f-Divergences. 47-60 - Yeyang Hong, Masahiro Inuiguchi:
Comparative Study of Methods for Estimating Interval Priority Weights Focusing on the Accuracy in Selecting the Best Alternative. 61-73
Clustering
- Yukihiro Hamasuna, Yoshitomo Mori:
Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor. 77-89 - Yasunori Endo, Kazuki Mori:
On Objective-Based Clustering from the Perspective of Transportation Problem. 90-100
Data Science and Data Privacy
- Pol Espinasa-Vilarrasa, Sílvia Sanvicente, Cristina Pérez-Solà, Jordi Herrera-Joancomartí:
Decision Tree Based Inference of Lightning Network Client Implementations. 103-114 - Michal Burda:
nuggets: Data Pattern Extraction Framework in R. 115-126 - Nguyen Duy Hung, Van-Nam Huynh:
User-Centred Argumentation Analysis of Local Explanations in Explainable AI. 127-139 - Yoshifumi Kusunoki:
Revised Margin-Maximization Method for Fuzzy Nearest Prototype Classification. 140-151 - Nicolas Ruiz:
Bistochastically Private Release of Data Streams with Zero Delay. 152-164 - Hajime Ono, Tran Thi Phuong, Le Trieu Phong:
Differentially Private Extreme Learning Machine. 165-176 - Julián Salas, Carlos Borrego:
Studying the Impact of Edge Privacy on Link Prediction in Temporal Graphs. 177-186 - Federico Cabitza, Lorenzo Famiglini, Andrea Campagner, Luca Maria Sconfienza, Stefano Fusco, Valerio Caccavella, Enrico Gallazzi:
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI. 187-198 - Adrián Tobar Nicolau, Javier Parra-Arnau, Jordi Forné:
On the Necessity of Counterfeits and Deletions for Continuous Data Publishing. 199-210 - Masahiro Shimizu, Hiroaki Kikuchi:
A Poisoning-Resilient LDP Schema Leveraging Oblivious Transfer with the Hadamard Transform. 211-223 - Koji Chida, Susumu Kakuta, Hiroyuki Itakura, Ichiro Ishihara, Kosuke Yoshioka, Hiroshi Takeuchi:
Experimental Evaluation for Risk Assessment of Privacy Preserving Synthetic Data. 224-236 - Nguyen Quoc Anh, Ha Xuan Son:
Transforming Stock Price Forecasting: Deep Learning Architectures and Strategic Feature Engineering. 237-250
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