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Machine Learning and Knowledge Extraction

  • h-index: 40
  • Total citations: 5,791
  • Total papers: 229
  • Impact factor: 8.836601307189543

Homepage: https://www.mdpi.com/journal/make

Machine Learning and Knowledge Extraction

Journal
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H-Index = 40
Citations = 5.79K+

Papers

Evidence

Recent papers in Machine Learning and Knowledge Extraction

  1. Vehicle Detection and Classification with Compact Sensor Technologies and Convolutional Neural NetworksMachine Learning and Knowledge Extraction · Tue,
  2. Asymmetric Focal Loss Improves Graph Neural Network Prediction of Drug-Pair-Associated Polypharmacy Side EffectsMachine Learning and Knowledge Extraction · Wed,
  3. Ethical and Socially Aware English–Norwegian Hate Speech Detection: A Systematic Design FrameworkMachine Learning and Knowledge Extraction · Mon,
  4. Context-Aware LLM-Guided Neighbourhood Search for Simulation-Based Production SchedulingMachine Learning and Knowledge Extraction · Tue,
  5. Functional Kolmogorov-Arnold Network: A Hilbert-Space Perspective on Spatial Representation Learning for Medical Image SegmentationMachine Learning and Knowledge Extraction · Tue,
  6. Geometry-Aware 1D Residual CNN-BiLSTM Network for Automated Vertebral Localization and Scoliosis ClassificationMachine Learning and Knowledge Extraction · Tue,
  7. Recurrent Graph Attention over Longitudinal Brain Networks Predicts Conversion from Mild Cognitive Impairment to Alzheimer’s DiseaseMachine Learning and Knowledge Extraction · Tue,
  8. A Gradient-Level Diagnosis of Extreme Class Imbalance in Multiple Instance Learning via q-CalculusMachine Learning and Knowledge Extraction · Mon,
  9. Cross-Domain Input, Mutual Exclusivity, and Inferential Reasoning: When LLMs Learn Words Like HumansMachine Learning and Knowledge Extraction · Fri,
  10. Bridging Knowledge and Learning: A Multi-Axis Analytical Survey for Neurosymbolic Artificial IntelligenceMachine Learning and Knowledge Extraction · Mon,

About Machine Learning and Knowledge Extraction

Machine Learning and Knowledge Extraction carries 229 indexed papers, 5,791 citations, h-index 40 in Synapse's enriched corpus. Each paper indexed here includes structured clinical evidence extraction (PICO), methodology classification with level of evidence, and links to related guideline recommendations where applicable.

On Synapse's credibility score (derived from SJR ranking and cross-citation patterns), Machine Learning and Knowledge Extraction sits among the highest-credibility cardiovascular journals.

The journal's official homepage is at https://www.mdpi.com/journal/make.

Use the feed below to follow new Machine Learning and Knowledge Extraction publications with AI-enriched analysis — each paper is decomposed into study design, population, intervention, comparator, primary outcome, and key finding, with the underlying evidence traceable to the primary source.

Deterministic synthesis from Synapse's enriched records — 111 words.