Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, ... (Lecture Notes in Artificial Intelligence) - Softcover

 
9783031434174: Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, ... (Lecture Notes in Artificial Intelligence)
Softcover
ISBN 10: 303143417X ISBN 13: 9783031434174
Verlag: Springer, 2023

Inhaltsangabe

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.

Chapter 41 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.

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Chapter 41 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.

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Verlag
Springer
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
303143417X
ISBN 13 
9783031434174
Einband
Tapa blanda
Anzahl der Seiten
768
Herausgeber
Koutra Danai, Plant Claudia, Gomez Rodriguez Manuel, Baralis Elena, Bonchi Francesco
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