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Machine Learning and Knowledge Extraction

IF6
Papers772
Citations1846
Journal Papers 766
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Spectral Pruning of Deep Neural Networks via Adjacency Edge Index
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-13
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deleteSamuel Kurian Roy; Sreehari M.S.; Mohammed Fayyas N.M.; Ekaterina Kopets; Denis Butusov; Sishu Shankar Muni
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Fuzzy Model Identification and Trajectory Control for Agricultural Tractor Robots: An Optimal Hybrid Methodology
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-13
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deleteAngel de Jesus Castro-Romero; Julio Cesar Ramos-Fernández; Marco Antonio Márquez-Vera; Juan Manuel Xicoténcatl-Peréz; Salatiel Garcia Nava; Jorge Alberto Ruiz-Vanoye; Sébastien Paris
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Quantum Machine Learning in Oncology: A Systematic Review of Clinical Applications, Challenges, and Future Research Directions
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-13
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deleteKhairil Imran Ghauth; Yanche Ari Kustiawan
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Dataset Distillation by Tabular Alignment via Moment Embeddings
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-13
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deleteEduard Barnoviciu; Corneliu Florea
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SpectraSensML Software: Mastering Complete Spectral Information for Luminescence Thermometry 2.0
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-13
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deleteAleksandar Ćirić; Zoran Ristić; Tamara Gavrilović; Anđela Rajčić; Snežana Đurković; Željka Antić; Miroslav D. Dramićanin
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Generative AI for Hospital Cybersecurity: A Framework for Evaluating Large Language Models for Planning, Threat Detection, and Incident Response
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-12
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deleteAyman Diyab; Ahmad Diyab; Ishaan Dhillon
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Flow-Guided Neural Pruning: Signal-Flow Framework for Multi-Architecture Model Compression
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-11
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deleteAleksei Samarin; Artem Nazarenko; Egor Kotenko; Aleksei Toropov; Alexander Savelev; Alexander Motyko; Valentin Malykh
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How Ready Are Machine-Learning Prognostic Models for Inflammatory Bowel Disease? A Systematic Review and PROBAST + AI Appraisal of 111 Studies
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-11
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deleteJosip Vrdoljak; Marino Vilovic; Roko Santic; Marko Kumric; Nikola Pavlovic; Ivan Males; Josko Bozic
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Uncertainty-Aware Bayesian Machine Learning for Thermo-Kinetic Parameter Estimation from Noisy Temperature Profiles
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-11
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deleteMark Korang Yeboah; Nana Yaw Asiedu
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Adaptive Process Mining and Selective Monitoring for Algorithmic Auditing: A Survey of Representations, Learning Policies, Decision Strategies, and Open Problems
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-11
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deleteHéctor R. Becerril Villamil; Vladimir Rodriguez Perez; Daniel Sanin-Villa; Julio Antonio Caballero-Mora; Juan C. Tejada
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DAUNT: Ensemble Disagreement as Actionable Uncertainty for Imbalanced Fraud Detection
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-11
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deleteXinyao Liu; Guixiang Zhu
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HEADHUNTER: Training-Free Annotated Dataset Synthesis via Self-Guided Diffusion Transformer Attention Head Selection
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-11
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deleteRohan Le Roux; Siavash Khaksar; Mohammadali Sepehri; Iain Murray
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Real-Time Epileptic Seizure Detection from Raw EEG Using Classical Machine Learning and Time-Domain Feature
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-11
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deleteEdgar H. Ayala-Britez; Lucas Frutos; Diego P. Pinto-Roa; Silvia Abente; Aníbal Molinas; Nam-Young Kim; Eun-Seong Kim; Yaesop Lee; Suhan Park
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Comparing Ordinal Loss Functions for Heart Disease Severity Prediction
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-05
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deleteInês Domingues; João A. M. Santos
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Improving Multilingual IT Incident Text Translation Using a Two-Stage Cascaded NMT Model Under Air-Gap Conditions
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-05
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deleteRoman Jevsejev; Dalius Mažeika
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LLM-Based Knowledge Engineering for DSS Collaborative Knowledge Bases: Approach and Pilot Study
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-05
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deleteIgor Glukhikh; Kirill Glukhikh; Dmitry Glukhikh
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Machine Learning Applications in Emergency Resource Allocation in Europe: A Systematic Review and Future Research Agenda
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-05
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deleteStavros Kalogiannidis; Konstantinos Spinthiropoulos; Fotios Chatzitheodoridis; Dimitrios Parris; Angel Valsamopoulos
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When to Explore and When to Exploit: Adaptive Decisions in Bayesian Optimization
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-05
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deleteAntonio Candelieri; Francesco Archetti; Iman Seyedi
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Class-Conditional Conformal Prediction for Reliable Anomaly Detection Under Extreme Class Imbalance
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-05
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deleteBashair Althani
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A Modular Knowledge-Extraction Framework for Deep Learning Forecasts of Multi-Tier Commodity Prices
deleteMachine Learning and Knowledge Extraction
IF6
delete2026-08-05
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deleteMontchai Pinitjitsamut
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