Special Issues

Machine Learning and Knowledge Extraction runs special issues to create collections of papers on specific topics. The aim is to build 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 in the subject and oversee the editorial process for papers. Papers published in a Special Issue will be collected together on a dedicated page of the journal website. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Language Processing and Knowledge Extraction
edited by and Pedro Rangel Henriques
submission deadline 31 Jan 2022 | 3 articles | Viewed by 3495
Keywords: natural language processing; machine learning; low-resource languages
Selected Papers from CD-MAKE 2021 and ARES 2021
edited by , Edgar Weippl, and Peter Kieseberg
submission deadline 7 Feb 2022 | Viewed by 285
Keywords: DATA – data fusion; preprocessing; mapping; knowledge representation; environments; etc.; LEARNING – algorithms; contextual adaptation; causal reasoning; transfer learning; etc.; VISUALIZATION – intelligent interfaces; human-AI interaction; dialogue systems; explanation interfaces; etc.; PRIVACY – data protection; safety; security; reliability; verifiability; trust; ethics and social issues; etc.; NETWORK – graphical models; graph-based machine learning; Bayesian inference; etc.; TOPOLOGY – geometrical machine learning; topological and manifold learning; etc. ENTROPY – time and machine learning; entropy-based learning; etc.
Advances in Explainable Artificial Intelligence (XAI)
edited by
submission deadline 28 Feb 2022 | 4 articles | Viewed by 5883
Keywords: explainable artificial intelligence (XAI); neuro-symbolic reasoning for XAI; interpretable deep learning; argument-based models of explanations; graph neural networks for explainability; machine learning and knowledge-graphs; human-centric explainable AI; interpretation of black-box models; human-understandable machine learning; counterfactual explanations for machine learning; natural language processing in XAI; quantitative/qualitative evaluation metrics for XAI; ante and post-hoc XAI methods; rule-based systems for XAI; fuzzy systems and explainability; human-centered learning and explanations; model-dependent and model-agnostic explainability; case-based explanations for AI systems; interactive machine learning and explanations
Advances in Reinforcement Learning
edited by
submission deadline 15 Mar 2022 | 1 articles | Viewed by 1914
Keywords: reinforcement learning; multi-agent reinforcement learning; Markov decision process; value iteration; policy gradients; learning to learn; deep Q learning; Markov game; deep reinforcement learning
(This special issue belongs to the Section Learning)
Selected Papers from ACM ICEA '21
edited by
submission deadline 20 Apr 2022 | Viewed by 30
Keywords: machine learning; deep learning; metaheuristic algorithms; data mining; intelligent system; expert system; security and privacy
Large-Scale Pre-Trained Language Models: Opportunities and Challenges for Natural Language Processing
edited by Irena Spasić
submission deadline 30 Apr 2022 | Viewed by 208
Fairness and Explanation for Trustworthy AI submission deadline 15 May 2022 | Viewed by 293
Keywords: role of fairness in trustworthy AI systems; role of explanation in trustworthy AI systems; role of both fairness and explanation in trustworthy AI systems; human’ s judgement of fairness and explanations in AI systems; innovative methods and technologies in presenting fairness and explanations for boosting trustworthiness of AI systems; novel applications of user experience design and evaluation methods for trustworthy AI with fairness and explanations; social; ethical and legal aspects of fairness in AI; fostering trustworthy AI.
Machine Learning in Drug Discovery
edited by Max Leong
submission deadline 31 May 2022 | Viewed by 150
Keywords: machine learning; ligand-based drug design; structure-based drug design; de novo drug design; drug repurposing; drug absorption; distribution; metabolism; excretion; and toxicity (ADME/Tox)
Selected Papers from ICMLSC 2022
edited by Zhaolong Ning and
submission deadline 31 May 2022 | Viewed by 33
Keywords: intelligent search; automated reasoning and logic programming; machine learning; intelligent planning; neural computing; visual/linguistic perception; evolutionary and swarm algorithms; derivative-free optimization algorithms; fuzzy sets and fuzzy logic; emotional intelligence; hybridization of intelligent models/algorithms; parallel and distributed realization of intelligent algorithms/systems
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