The journal Machine Learning and Knowledge Extraction (MAKE, 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.
As all the articles published in our journal are in an open access format, you have free and unlimited access to the full texts. We welcome you to read our top downloaded papers published in 2022, listed below:
1. “Hierarchical Reinforcement Learning: A Survey and Open Research Challenges”
by Matthias Hutsebaut-Buysse, Kevin Mets and Steven Latré
Mach. Learn. Knowl. Extr. 2022, 4(1), 172-221; https://doi.org/10.3390/make4010009
Available online: https://www.mdpi.com/2504-4990/4/1/9
2. “Machine Learning in Disaster Management: Recent Developments in Methods and Applications”
by Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas and Yannis L. Karnavas
Mach. Learn. Knowl. Extr. 2022, 4(2), 446-473; https://doi.org/10.3390/make4020020
Available online: https://www.mdpi.com/2504-4990/4/2/20
3. “Machine Learning Based Restaurant Sales Forecasting”
by Austin Schmidt, Md Wasi Ul Kabir and Md Tamjidul Hoque
Mach. Learn. Knowl. Extr. 2022, 4(1), 105-130; https://doi.org/10.3390/make4010006
Available online: https://www.mdpi.com/2504-4990/4/1/6
4. “Robust Reinforcement Learning: A Review of Foundations and Recent Advances”
by Janosch Moos, Kay Hansel, Hany Abdulsamad, Svenja Stark, Debora Clever and Jan Peters
Mach. Learn. Knowl. Extr. 2022, 4(1), 276-315; https://doi.org/10.3390/make4010013
Available online: https://www.mdpi.com/2504-4990/4/1/13
5. “Fairness and Explanation in AI-Informed Decision Making”
by Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, Fang Chen and Andreas Holzinger
Mach. Learn. Knowl. Extr. 2022, 4(2), 556-579; https://doi.org/10.3390/make4020026
Available online: https://www.mdpi.com/2504-4990/4/2/26
6. “An Attention-Based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series”
by Tareq Tayeh, Sulaiman Aburakhia, Ryan Myers and Abdallah Shami
Mach. Learn. Knowl. Extr. 2022, 4(2), 350-370; https://doi.org/10.3390/make4020015
Available online: https://www.mdpi.com/2504-4990/4/2/15
7. “Developing a Novel Fair-Loan Classifier through a Multi-Sensitive Debiasing Pipeline: DualFair”
by Arashdeep Singh, Jashandeep Singh, Ariba Khan and Amar Gupta
Mach. Learn. Knowl. Extr. 2022, 4(1), 240-253; https://doi.org/10.3390/make4010011
Available online: https://www.mdpi.com/2504-4990/4/1/11
8. “A Transfer Learning Evaluation of Deep Neural Networks for Image Classification”
by Nermeen Abou Baker, Nico Zengeler and Uwe Handmann
Mach. Learn. Knowl. Extr. 2022, 4(1), 22-41; https://doi.org/10.3390/make4010002
Available online: https://www.mdpi.com/2504-4990/4/1/2
9. “A Survey of Near-Data Processing Architectures for Neural Networks”
by Mehdi Hassanpour, Marc Riera and Antonio González
Mach. Learn. Knowl. Extr. 2022, 4(1), 66-102; https://doi.org/10.3390/make4010004
Available online: https://www.mdpi.com/2504-4990/4/1/4
10. “VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis”
by Kabul Kurniawan, Andreas Ekelhart, Elmar Kiesling, Dietmar Winkler, Gerald Quirchmayr and A Min Tjoa
Mach. Learn. Knowl. Extr. 2022, 4(2), 371-396; https://doi.org/10.3390/make4020016
Available online: https://www.mdpi.com/2504-4990/4/2/16
