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Topical Collections
Machine Learning and Knowledge Extraction publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions follow MDPI's standard editorial process.
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Robust and Uncertainty-Aware Learning from Real-World Data
Collection Editor: Federico Cabitza
Viewed by 144
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Feature Papers in Safety, Security, Privacy, and Cyber Resilience
Collection Editor: Simon Tjoa
Viewed by 147
Open for Submission
Extravaganza Feature Papers on Hot Topics in Machine Learning and Knowledge Extraction
Collection Editor: Andreas Holzinger
47 articles | Viewed by 279,040
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Mach. Learn. Knowl. Extr. - ISSN 2504-4990