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koutra danai (curatore); plant claudia (curatore); gomez rodriguez manuel (curatore); baralis elena (curatore); bonchi francesco (curatore) - machine learning and knowledge discovery in databases: research track

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

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 09/2023
Edizione: 1st ed. 2023





Trama

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.





Sommario

Active Learning.- Adversarial Machine Learning.- Anomaly Detection.- Applications.- Bayesian Methods.- Causality.- Clustering.
















Altre Informazioni

ISBN:

9783031434112

Condizione: Nuovo
Collana: Lecture Notes in Computer Science
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:LV, 761 p. 203 illus., 191 illus. in color.
Pagine Arabe: 761
Pagine Romane: lv


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