Machine Learning and Knowledge Discovery in Databases (Journal)

Activity: Publication peer-review and editorial work typesEditorial work

Description

Machine Learning and Knowledge Discovery in Databases
European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings
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.
Period17 Mar 2023
Type of journalBook series