Full size book cover of Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, ... I}

Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, ... I

Elena Baralis, Danai Koutra, Nicolas Kourtellis, Francesco Bonchi, Claudia Perlich, Natali Ruchansky

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
Part Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning.
Part ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part ​Robustness; Time Series; Transfer and Multitask Learning.
Part ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. ​ Part Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

Publisher

Springer

Publication Date

9/17/2023

ISBN

9783031434112

Pages

820

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