Academic Journal
Q1Machine Learning and Knowledge Extraction
About Machine Learning and Knowledge Extraction
Machine Learning and Knowledge Extraction is a scholarly journal published by Multidisciplinary Digital Publishing Institute (MDPI). SCImago 2025 lists it in Q1, with an SJR of 1.548 and H-index of 46.
Coverage: 2019-2026. Research categories: Artificial Intelligence (Q1); Engineering (miscellaneous) (Q1).
Verified field sources
- Journal Impact Factor: 8.4 — Official source; checked 2026-10-03. Journal Impact Factor and reporting year from the publisher imprint.
- Impact Factor year: 2025 — Official source; checked 2026-10-03. Journal Impact Factor and reporting year from the publisher imprint.
- Contact email: make@mdpi.com — Official source; checked 2026-10-03. Journal editorial office email published by MDPI; manuscript files use the submission system.
- Editor(s): Prof. Dr. Andreas Holzinger (Editor-in-Chief) — Official source; checked 2026-10-03. Current chief editor(s) listed on the official MDPI editorial board. Founding and section editors excluded.
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2024-04-10. This snapshot does not establish today’s listing status or fee quotation.
Publisher policy links recorded by DOAJ
- Aims and scope ↗
- Editorial board ↗
- Instructions for authors ↗
- Peer-review policy ↗
- Publication fees ↗
- Fee waivers ↗
- Licence terms ↗
- Copyright policy ↗
- Preservation policy ↗
Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.
Source-backed journal facts
Topics in published research
Explainable Artificial Intelligence (XAI); Topic Modeling; Adversarial Robustness in Machine Learning; Advanced Neural Network Applications; Artificial Intelligence in Healthcare and Education; Machine Learning and Data Classification.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
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2026-10-01 · DOI: 10.3390/make8100312A Comprehensive Survey of Missing Data-Handling Methods from a Machine Learning Perspective
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2026-10-01 · DOI: 10.3390/make8100310Exploratory Landscape Analysis for Meta-Learning-Based Algorithm Selection in Continuous Optimization
Vasileios Charilogis, Ioannis G. Tsoulos, Anna Maria Gianni
2026-09-30 · DOI: 10.3390/make8100309A Reality Gap Taxonomy for Physics-Informed Anomaly Detection in Industrial Control Systems: Cross-Regime Evaluation, Operating-Point and Temporal Distribution Shifts
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2026-09-30 · DOI: 10.3390/make8100306Multidimensional Evaluation Framework for Local LLM-Based Clinical Summarization: A Cross-Lingual Prototype on Multi-Modality PACS-Derived Imaging Reports
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2026-09-30 · DOI: 10.3390/make8100305From Credit Scoring to Governed Decision Systems: Integrating Predictive Performance, Uncertainty, and Governance
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2026-09-30 · DOI: 10.3390/make8100308Intrinsic-Dimension-Guided Bottleneck Selection for Variational Autoencoders with Active-Unit Diagnostics
Chika Obata, Mizuki Dai, Kenya Jin’no
2026-09-30 · DOI: 10.3390/make8100307Contrastive Gradient-Flow Interpretation (CGFI): A Composable Operator for Class-Discriminative Explanation of Convolutional Neural Networks
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2026-09-29 · DOI: 10.3390/make8100304Do Large Language Models Prefer Their Developer’s Home Country? A US–China Audit of Scores Under National Attribution
Martin Pavlíček, Lubomír Štěpánek, Martin Kotyrba, Eva Volná et al.
2026-09-29 · DOI: 10.3390/make8100303Hybrid Bi-LSTM and Deep Reinforcement Learning for AI-Native Predictive Mobility Management in High-Mobility 5G/6G Networks
Normtawan Phuttaamart, Sunisa Kunarak
2026-09-28 · DOI: 10.3390/make8100302RoboSurg-VQA: A Multimodal Visual Question Answering Benchmark Derived from Surgical Segmentation Data
Chengyi Zhang, Zi Ye, Ziyang Wang
2026-09-28 · DOI: 10.3390/make8100300Auditing Multimodal Fusion Benchmarks: Leakage, Attribution, and Calibration in Elderly Fall Detection
Abha Tewari, Dhananjay Kalbande
2026-09-28 · DOI: 10.3390/make8100298A Dual-Stream Multi-Feature Approach to Whistle Classification Across Species for Passive Acoustic Monitoring
Doyinsola Olatinwo, Mae Seto, Bruce Martin, Mark Thomas et al.
2026-09-28 · DOI: 10.3390/make8100301Comparing Clinical Metadata Fusion Strategies for Diabetic and Hypertensive Retinopathy Classification
Vinicius de Carvalho Rispoli, Alan Müller, Weverson Garcia Medeiros, Marília Miranda Forte Gomes et al.
2026-09-28 · DOI: 10.3390/make8100299Rademacher Complexity-Guided Genetic Programming for Interpretable Spectral Index Discovery in UAV-Based Mistletoe Detection
Paola Andrea Mejia-Zuluaga, León Dozal, Juan C. Valdiviezo-Navarro
2026-09-25 · DOI: 10.3390/make8100297Learning to Route On-Chip: A Survey of Machine Learning-Based Routing in Networks-on-Chip and Its Hardware Overheads
Bernardo Ibarra Infante, Remberto Sandoval Aréchiga, Víktor Iván Rodríguez Abdalá, Salvador Ibarra Delgado et al.
2026-09-24 · DOI: 10.3390/make8100296Asymmetric Focal Loss Improves Graph Neural Network Prediction of Drug-Pair-Associated Polypharmacy Side Effects
Faranak Hatami, Mousa Moradi
2026-09-23 · DOI: 10.3390/make8100295Vehicle Detection and Classification with Compact Sensor Technologies and Convolutional Neural Networks
Jessy Wu, Brett J. Borghetti, Anthony L. Franz, Darren E. Holland et al.
2026-09-22 · DOI: 10.3390/make8100294Ethical and Socially Aware English–Norwegian Hate Speech Detection: A Systematic Design Framework
Ehtesham Hashmi, Sule Yildirim Yayilgan
2026-09-21 · DOI: 10.3390/make8090292Reviews
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Version History
September 25, 2026 at 7:27 am
September 25, 2026