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

 
9783031434204: Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part IV
Couverture souple
ISBN 10 : 303143420X ISBN 13 : 9783031434204
Editeur : Springer, 2023

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2023
Langue
anglais
ISBN 10 
303143420X
ISBN 13 
9783031434204
Reliure
Broché
Numéro d'édition
1
Nombre de pages
804
Éditeur
Koutra Danai, Plant Claudia, Gomez Rodriguez Manuel, Baralis Elena, Bonchi Francesco
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
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