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Scientific Journals

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  • Deep Learning
  • Explainable AI
  • Fuzzy Cognitive Maps
  • Generative AI
  • Machine Learning
  • Sensors
Deep LearningMachine LearningMedicinePaper

A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features

Deep LearningMachine LearningMedicinePaper

Innovative attention-based explainable feature-fusion VGG19 network for characterising Myocardial Perfusion Imaging SPECT Polar Maps in patients with suspected Coronary Artery Disease

Deep LearningExplainable AIMachine LearningMedicine

Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism

Explainable AIMachine LearningMedicinePaper

Classification Models for Assessing Coronary Artery Disease Instances Using Clinical and Biometric Data: A man-in-the-loop approach

Explainable AIMachine LearningMedicinePaper

Uncovering the Black Box of Coronary Artery Disease Diagnosis: The Significance of Explainability in Predictive Models

Deep LearningMachine LearningMedicinePaper

An attention-based Deep Convolutional Neural Network for brain tumour and disorder classification and grading in Magnetic Resonance Imaging

Machine LearningMedicinePaperSensors

Field calibration of a low-cost Air Quality monitoring device in a southeastern European site using Machine Learning models

Explainable AIFuzzy Cognitive MapsMedicinePaper

Fuzzy Cognitive Maps (FCM): their role in eXplainable Artificial Intelligence (XAI)

Deep LearningExplainable AIMachine LearningMedicine

Deep learning – enhanced nuclear medicine SPECT imaging applied on cardiac studies: A review

Deep LearningExplainable AIMachine LearningMedicine

Detection and localisation of abnormal parathyroid glands: An explainable Deep Learning approach

Conference Proceedings

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