Machine Learning and Knowledge Extraction

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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. The journal’s Editor-in-Chief and/or designated EBM will oversee Guest Editor appointments and Special Issue proposals, checking their content for relevance and ensuring the suitability of the material for the journal. The papers published in a Special Issue will be collected and displayed on a dedicated page of the journal’s website. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Sustainable Applications for Machine Learning

edited by

Danial Javaheri

Hassan Chizari

and

Amir Masoud Rahmani

submission deadline 2 Jul 2024 | 2 articles | Viewed by 3177 | Submission Open

Keywords: machine learning; deep learning; artificial neural networks; reinforcement learning; sustainable computing; big data analytics; optimization; data mining

(This special issue belongs to the Section Learning)

Large Language Models: Methods and Applications

edited by

Ahmad Taher Azar

Karin Verspoor

and

Irena Spasić

submission deadline 31 Jul 2024 | 3 articles | Viewed by 8557 | Submission Open

Keywords: artificial intelligence; advanced LLM architectures; BERT Applications (Bidirectional Encoder Representations from Transformers); complexity of LLMs; computational/energy efficiency; deep reinforcement learning; deep generative models; ethics of LLM systems and applications; evaluation of LLM performance; language understanding; machine translation; NLP (Natural Language Processing); sentiment analysis; text generation; transformer architectures; transfer learning; unsupervised learning; attention mechanisms; data augmentation; explainability; GPT (Generative Pretrained Transformer); multimodal models; question-answering; summarization; tokenization; zero-shot learning

(This special issue belongs to the Section Network)

Machine Learning in Data Science

edited by

Elias Dritsas

and

Phivos Mylonas

submission deadline 31 Dec 2024 | Viewed by 233 | Submission Open

Keywords: data science; data mining; artificial intelligence; machine learning; statistics; predictive modeling; monitoring; data analytics

(This special issue belongs to the Section Data)

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