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Machine Learning and Knowledge Discovery in Databases

Applied Data Science and Demo Track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII

By: Gianmarco De Francisci Morales (Editor), Claudia Perlich (Editor), Natali Ruchansky (Editor)

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Paperback | 17 September 2023

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440 Pages

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23.39 x 15.6 x 2.26

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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: âComputer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning.

Part III: âGraph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.

Part IV: âNatural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.

Part V: âRobustness; Time Series; Transfer and Multitask Learning.

Part VI: âApplied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.

âPart VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

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