Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part III
Reliable shipping
Flexible returns
Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence
Machine Learning and Knowledge Discovery in Databases
European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part III
Massih-Reza Amini | Stéphane Canu | Asja Fischer | Tias Guns | Petra Kralj Novak | Grigorios Tsoumakas
The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions.
The volumes are organized in topical sections as follows:
Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning;
Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems;
Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search;
Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; .
Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability;
Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.
| Publication Date: | 17 March 2023 |
| Publisher: | Springer Nature Switzerland |
| Imprint: | Springer |
| ISBN-13: | 9783031264085 |
| Format: | Paperback softback |
| Page Count: | 683 |