Machine Learning and Knowledge Discovery in Databases: Research Track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I /

The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Res...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Baralis, Elena (Editor), Bonchi, Francesco (Editor), Gomez Rodriguez, Manuel (Editor), Koutra, Danai (Editor), Plant, Claudia (Editor)
Format: Book
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2023
Edition:1st ed. 2023
Series:Lecture Notes in Artificial Intelligence, 14169
Lecture Notes in Artificial Intelligence, 14170
Lecture Notes in Artificial Intelligence, 14171
Lecture Notes in Artificial Intelligence, 14172
Lecture Notes in Artificial Intelligence, 14173
Subjects:
Description
Summary:The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo
Physical Description:1 online resource (LIII, 460 p. 113 illus., 110 illus. in color.) online resource
1 online resource (LIV, 719 p. 309 illus., 177 illus. in color.) online resource
1 online resource (LV, 707 p. 179 illus., 168 illus. in color.) online resource
1 online resource (LV, 747 p. 172 illus., 160 illus. in color.) online resource
1 online resource (LV, 761 p. 203 illus., 191 illus. in color.) online resource
ISBN:9783031434112
9783031434129
9783031434136
9783031434143
9783031434150
9783031434167
9783031434174
9783031434181
9783031434198
9783031434204
9783031434211
9783031434228
9783031434235
9783031434242
9783031434259
ISSN:2945-9141 ;
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