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Machine Learning and Knowledge Extraction (ISSN 2504-4990) provides an advanced forum for studies related to all areas of machine learning and knowledge extraction. It publishes reviews, regular research papers, communications, perspectives, and viewpoints, as well as Special Issues on particular subjects. The aim of Machine Learning and Knowledge Extraction is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, the journal has no restrictions regarding the length of papers. Full experimental details should be provided so that the results can be reproduced.
vol.8 (2026)
vol.7 (2025)
vol.6 (2024)
vol.5 (2023)
vol.4 (2022)
vol.3 (2021)
vol.2 (2020)
vol.1 (2019)
Avital, NupharSadan, DanaShikly, MayMalka, Dror
Addula, Santosh ReddyKumar, DeepakSajja, Guna SekharHallman, StevenDennis, Alan
Ioannou, IacovosGhantasala, G. S. PradeepKolla, ThrilokVidyullatha, PellakuriVassiliou, Vasos
Inkong-ngarm, AomsapBootkrajang, JakramateSomhom, SamerkaeTrongratsameethong, Areerat
Drozdov, Nikita A.Zinovev, Marat O.Sorokin, Dmitry V.
Aperstein, YehuditMoran, EdenApartsin, Alexander
Alphonse, SujaVenkatesan, R.Gunasekaran, HemalathaSwaminathan, Deepa KanmaniRamalakshmi, Krishnamoorthi
Iumanova, Irina F.Matrenin, Pavel V.Khalyasmaa, Alexandra I.
Kaivalya, K.Rao, N. ThirupathiPal, AdityaRai, Hari MohanJagan, B. Omkar Lakshmi