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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 and all Special Issue submissions follow MDPI's standard editorial process. The journal’s Editor-in-Chief and/or designated Editorial Board Member 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. Further information on MDPI's Special Issue policies and Guest Editor responsibilities can be found here. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Clinically Robust and Transparent AI-Assisted Medical Diagnostics: From Learning Dynamics to Real-World Deployment

edited by

Milan Toma

and Constantinos Pattichis

submission deadline 30 Sep 2026 | 8 articles | Viewed by 6828 | Submission Open

Keywords: machine learning evaluation in healthcare; learning dynamics of medical AI models; generalizability of diagnostic algorithms; robustness in clinical machine learning; predictive modeling for medical diagnostics; data-driven healthcare innovation; artificial intelligence for clinical decision support

(This special issue belongs to the Section Learning)

Selected Papers from the International Conference on Advances in Artificial Intelligence and Machine Learning (AAIML 2026)

edited by Naoyuki Ishimura and

Irena Spasić

submission deadline 30 Sep 2026 | 1 articles | Viewed by 1140 | Submission Open

Keywords: deep learning; natural language processing; computer vision; ethical AI practices

(This special issue belongs to the Section Learning)

Artificial Intelligence for Signal, Image, and Multimodal Data Processing: Algorithms, Models, and Knowledge Extraction

edited by

Omneya A. Attallah

Sahar Selim

and

Lobna A. Said

submission deadline 15 Oct 2026 | 16 articles | Viewed by 14274 | Submission Open

Keywords: signal processing; image processing; multimodal data; deep learning; multimodal fusion; foundation models; generative models; explainable methods; federated learning; cross-modal learning

(This special issue belongs to the Section Learning)

Using Large Language Models for Scientific Problem Solving and Engineering Design

edited by

Alex Doboli

, K. Wendy Tang and Simona Doboli

submission deadline 31 Dec 2026 | 7 articles | Viewed by 18680 | Submission Open

Keywords: large language models; problem solving; automated engineering design; agents; prompting; reinforcement learning; retrieval-augmented generation; symbolic machine learning; knowledge representations

(This special issue belongs to the Section Learning)

LLM-Inspired New Generation Machine Learning: Hyperparameter Optimization and Uncertainty Quantification

edited by

Vitaly Schetinin

Livija I. Jakaite

and

Jaroslaw Krzywanski

submission deadline 31 Dec 2026 | 3 articles | Viewed by 1998 | Submission Open

Keywords: LLM-inspired ML; Bayesian learning methodology; hyperparameter optimization; uncertainty quantification; imbalanced data; survival analysis; financial forecasting

(This special issue belongs to the Section Learning)

Knowledge Discovery and Extraction with Large Language Models, Retrieval-Augmented Generation, and Autonomous Agents: Methods, Architectures, and Applications

edited by

Shaheen Khatoon

Azhar Mahmood

and

Marek Sikora

submission deadline 31 Dec 2026 | 2 articles | Viewed by 1961 | Submission Open

Keywords: large language models; knowledge discovery; retrieval-augmented generation; autonomous agents; agentic AI; natural language processing; information extraction; multimodal knowledge discovery; knowledge representation; knowledge integration; trustworthy knowledge discovery; explainable knowledge discovery; AI-driven knowledge discovery applications

(This special issue belongs to the Section Learning)

Machine Learning for Physiological Signal Analysis

edited by Saeed Mian Qaisar,

Humaira Nisar

and Abdulhamit Subasi

submission deadline 31 Dec 2026 | Viewed by 551 | Submission Open

Keywords: physiological signals; machine learning; healthcare; human–machine interactions; brain–computer interface; biometrics; feature extraction; multimodal data fusion; explainable machine learning (XAI); real-time signal processing; privacy-preservation

(This special issue belongs to the Section Learning)

Advancing Natural Language Processing for Low-Resource Languages and Dialects

edited by

Tanjim Mahmud

Michal Ptaszynski

and

Karl Andersson

submission deadline 31 Jan 2027 | 4 articles | Viewed by 10215 | Submission Open

Keywords: low-resource and dialect natural language processing; multilingual and crosslingual NLP; language resources and dataset creation; dialect and code-mixed language processing; NLP for underrepresented languages; machine learning and deep learning for NLP; linguistic and cultural adaptation in NLP; ethical and inclusive AI for language technologies

Trustworthy AI: Integrating Knowledge, Retrieval, and Reasoning

edited by

Konstantinos Diamantaras

submission deadline 31 Jan 2027 | 9 articles | Viewed by 9092 | Submission Open

Keywords: trustworthy AI; knowledge graphs and ontologies; hallucination detection and mitigation; retrieval-augmented generation; modular and multi-agent systems

(This special issue belongs to the Section Learning)

Explainable Artificial Intelligence: Theoretical Foundations and Methodological Advances

edited by

Sheng Du

and

Javier Del Ser Lorente

submission deadline 28 Feb 2027 | 7 articles | Viewed by 5861 | Submission Open

Keywords: symbolic explainability approaches granular computing Fuzzy logic Bayesian networks Probabilistic graphical models; explainable machine learning models Random forests Gradient boosting trees k-Nearest neighbors; XAI-based modelling for complex systems interpretable AI-enhanced adaptive control methodologies XAI-enabled intelligent optimization methodologies Knowledge graph-driven explainable AI methods; emerging explainable AI approaches neuro-symbolic explainable AI Federated explainable AI Large model explainable AI

(This special issue belongs to the Section Learning)

Next-Generation TinyML: Innovations in Models, Security, and Applications for Constrained Intelligent Systems

edited by

Yassine Maleh

and

Khalid El Makkaoui

submission deadline 28 Feb 2027 | 2 articles | Viewed by 2755 | Submission Open

Keywords: tiny machine learning; edge intelligence; model compression; tiny language models; resource-constrained AI; adversarial robustness; privacy-preserving machine learning; on-device inference; uncertainty quantification; federated learning

(This special issue belongs to the Section Safety, Security, Privacy, and Cyber Resilience)

Efficient Image Generation: Algorithms, Architectures and Applications

edited by

Yaxing Wang

, Chunle Guo and Xialei Liu

submission deadline 28 Feb 2027 | Viewed by 339 | Submission Open

Keywords: image generation acceleration; generative models; autoregressive models; diffusion models; generative adversarial networks; efficient sampling; knowledge distillation; controllable generation; image editing; text-to-image generation; multimodal synthesis; foundation models

(This special issue belongs to the Section Learning)

Artificial Intelligence in Multimedia: Generation, Synthesis, Analysis, and Security

edited by

Zhili Zhou

Weiwei Jiang

, Haoyu Chen,

Qing Liu

and Han Wu

submission deadline 28 Feb 2027 | Viewed by 202 | Submission Open

Keywords: machine learning; artificial intelligence; multimedia processing; multimodal understanding; generative AI; multimedia security

(This special issue belongs to the Section Learning)

Formal Methods in the Loop: Trustworthy AI Pipelines

edited by

Gábor Kusper

Benedek Nagy

and Gergely Kovásznai

submission deadline 28 Feb 2027 | Viewed by 159 | Submission Open

Keywords: explainable artificial intelligence; mathematical foundations of AI; trustworthy AI

Language Acquisition and Understanding

edited by

Michal Ptaszynski

Rafal Rzepka

and Masaharu Yoshioka

submission deadline 31 Mar 2027 | 2 articles | Viewed by 4264 | Submission Open

Keywords: core concepts: language acquisition language understanding meaning representation comprehension vs. generation surface fluency vs. deep understanding; language acquisition; language understanding; meaning representation; comprehension vs. generation; surface fluency vs. deep understanding; learning paradigms & methods: data-efficient learning low-resource language learning continual learning/lifelong learning interactive learning self-supervised learning curriculum learning; data-efficient learning; low-resource language learning; continual learning/lifelong learning; interactive learning; self-supervised learning; curriculum learning; cognitive & linguistic principles: compositionality/systematicity generalization child language development cognitive science psycholinguistics symbolic reasoning causality in language; compositionality/systematicity; generalization; child language development; cognitive science; psycholinguistics; symbolic reasoning; causality in language; embodiment & grounding: grounded language learning/language grounding embodied AI/embodied agents perception and language language and action multimodal learning; grounded language learning/language grounding; embodied AI/embodied agents; perception and language; language and action; multimodal learning; AI architectures & models: large language models (LLMs) foundation models neuro-symbolic AI agent-based models emergent communication; large language models (LLMs); foundation models; neuro-symbolic AI; agent-based models; emergent communication; evaluation & analysis: evaluation benchmarks probing interpretability/explainability robustness shortcut learning; evaluation benchmarks; probing; interpretability/explainability; robustness; shortcut learning

From Experimental AI to Industrial Decision Systems

edited by

Mateus Mendes

and

Lorenzo Carnevale

submission deadline 31 Mar 2027 | 2 articles | Viewed by 1516 | Submission Open

Keywords: context-aware modelling of AI systems; robustness and uncertainty management; lifecycle-aware implementations; continuous monitoring and validation; risk-aware deployment of generative and adaptive models; data provenance and quality assurance; human-in-the-loop or hybrid decision architectures

(This special issue belongs to the Section Data)

Machine Learning for Intelligent Biometrics, Pattern Recognition and Secure Identification Systems

edited by

Shih Yin Ooi

Ying Han Pang

and

Soodamani Ramalingam

submission deadline 31 Mar 2027 | Viewed by 182 | Submission Open

Keywords: machine learning and deep learning; intelligent biometrics; pattern recognition; secure identification systems; multimodal biometrics; presentation attack detection (PAD); continuous authentication; privacy-preserving AI; behavioral biometrics; biometric template protection

(This special issue belongs to the Section Learning)

Advances in Machine Learning and Knowledge Extraction: Selected and Extended Papers from UKCI 2026

edited by Pengpeng Hu and

Vasile Palade

submission deadline 31 Mar 2027 | Viewed by 117 | Submission Open

Keywords: machine learning; knowledge extraction; computational intelligence; explainable AI; deep learning; reinforcement learning; knowledge discovery; robust and trustworthy learning

(This special issue belongs to the Section Learning)

Multimodal Learning and Knowledge Extraction for Precision Healthcare: Diagnosis, Risk Prediction, and Clinical Decision Support

edited by

Hazrat Ali

Sadam Hussain

and

Jan Baumbach

submission deadline 31 Mar 2027 | Viewed by 117 | Submission Open

Keywords: multimodal learning; knowledge extraction; precision healthcare; clinical decision support; risk prediction

(This special issue belongs to the Section Learning)

Learning from Small Data in Computer Vision

edited by Alaa Tharwat Othman and

Essam A. Rashed

submission deadline 31 Mar 2027 | Viewed by 84 | Submission Open

Keywords: few-shot learning; active learning; semi-supervised learning; data augmentation; diffusion models; transfer learning; foundation models

(This special issue belongs to the Section Learning)

Foundation-Model-Empowered Ubiquitous Sensing and Intelligent Cognition Across the Full-Band Radio-Frequency Spectrum

edited by Tiantian Tang, Junqing Zhang and

Guan Gui

submission deadline 31 Mar 2027 | Viewed by 80 | Submission Open

Keywords: foundation models; radio-frequency machine learning; full-band spectrum sensing; ubiquitous RF sensing; intelligent spectrum cognition; self-supervised learning; cross-band representation learning; UWB sensing and localization; open-world signal recognition; trustworthy edge intelligence

(This special issue belongs to the Section Learning)

Human-Centered and Explainable AI for Personalized Adaptive Systems

edited by

and

submission deadline 30 Apr 2027 | Viewed by 20 | Submission Open

Keywords: human-centered artificial intelligence (HCAI); explainable AI (XAI) and interpretability; personalization and user modelling; adaptive and interactive systems; human-in-the-loop and human–AI collaboration; interpretable machine learning and neuro-symbolic methods; fairness, accountability, and user agency in personalized AI; evaluation of explanations and personalization

(This special issue belongs to the Section Learning)

Artificial Intelligence Applications in Biomedicine and Healthcare

edited by

Enea Parimbelli

submission deadline 31 May 2027 | 4 articles | Viewed by 3218 | Submission Open

Keywords: Artificial Intelligence in Medicine; Machine Learning in Medicine; Bioinformatics; Biomedical Knowledge Representation and Reasoning (KR); Clinical research informatics; Clinical Decision Support Systems (CDSS); Unstructured biomedical data analysis; Predictive modelling in biomedicine; Trustworthy AI, ethics and regulation in biomedical AI applications; Multimodal AI in biomedicine; Generative AI and foundation models in biomedicine

(This special issue belongs to the Section Learning)

Advances in Semantic Multimedia Analytics, Generative AI, and Knowledge Extraction

edited by

and

submission deadline 31 May 2027 | Viewed by 63 | Submission Open

Keywords: machine learning; knowledge extraction; semantic multimedia; generative AI; user personalization; user modeling; multimedia analytics; artificial intelligence

(This special issue belongs to the Section Learning)

Adversarial Robustness and Advanced Security Paradigms in Artificial Intelligence

edited by

Muhammad Zeeshan Baig

Zulfiqar Ali

and

Muhammad Imran

submission deadline 10 Jun 2027 | Viewed by 255 | Submission Open

Keywords: adversarial machine learning; adversarial robustness; evasion attacks; data poisoning defenses; certified robustness; model inversion protection; defensive distillation; robust optimization; gradient masking; secure MLOps; zero-trust AI architecture; privacy-preserving machine learning; homomorphic encryption; differential privacy; secure federated learning; byzantine-robust aggregation; backdoor attack detection; model supply chain security; LLM jailbreaking mitigation; prompt injection defense; algorithmic auditing; explainable security (XAI); deepfake detection model watermarking; membership inference defenses; AI threat modeling; adversarial perturbations; trusted execution environments (TEEs); neural network forensics; trustworthy AI systems

(This special issue belongs to the Section Safety, Security, Privacy, and Cyber Resilience)

Responsible Artificial Intelligence for Education

edited by Danial Hooshyar, Roger Azevedo and Raija Hämäläinen

submission deadline 31 Aug 2027 | Viewed by 25 | Submission Open

Keywords: trustworthy and responsible artificial intelligence for education; education data mining and learning analytics; NLP and image processing for education; ethics of AI in education; affective computing for education

(This special issue belongs to the Section Learning)

Machine Learning and Knowledge Extraction for Data-Driven Modeling and Intelligent Control

edited by

Péter Galambos

Tamás Haidegger

and

Radu-Emil Precup

submission deadline 31 Oct 2027 | Viewed by 121 | Submission Open

Keywords: machine learning; knowledge extraction; data-driven modeling; physiological modeling and biomedical AI; learning-based control; reinforcement learning; trustworthy and explainable AI; uncertainty-aware learning; digital twins; computational intelligence; intelligent cyber–physical systems

(This special issue belongs to the Section Learning)

Sustainable Applications for Machine Learning—2nd Edition

edited by

Danial Javaheri

Hassan Chizari

and

Amir Masoud Rahmani

submission deadline 31 Dec 2027 | 1 articles | Viewed by 1485 | 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)

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