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Machine learning for gap-filling in greenhouse gas emissions databases

Machine learning for gap-filling in greenhouse gas emissions databases

IoT Attacks Detection Using Supervised Machine Learning Techniques - Flood and Brute Force

IoT Attacks Detection Using Supervised Machine Learning Techniques - Flood and Brute Force

Simulation of granular flows and machine learning in food processing

Simulation of granular flows and machine learning in food processing

Detection of Dementia: Using Electroencephalography and Machine Learning - Master’s Thesis

Detection of Dementia: Using Electroencephalography and Machine Learning - Master’s Thesis

Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption

Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption

Multi-objective hyperparameter optimisation for edge machine learning - Master’s thesis 2024

Multi-objective hyperparameter optimisation for edge machine learning - Master’s thesis 2024

Improving and Evaluating Machine Learning Methods for Forensic Shoeprint Matching

Improving and Evaluating Machine Learning Methods for Forensic Shoeprint Matching

Breast Cancer Diagnostic Using Machine Learning - Applying Supervised Learning Techniques to Coimbra and Wisconsin Datasets - Master’s Thesis 2023

Breast Cancer Diagnostic Using Machine Learning - Applying Supervised Learning Techniques to Coimbra and Wisconsin Datasets - Master’s Thesis 2023

Unified Explanations in Machine Learning Models - A Perturbation Approach

Unified Explanations in Machine Learning Models - A Perturbation Approach

Arabic Fake News Detection - Using Machine Learning Approach

Arabic Fake News Detection - Using Machine Learning Approach

Harnessing Machine Learning for Discerning AI-Generated Synthetic Images - Final Project

Harnessing Machine Learning for Discerning AI-Generated Synthetic Images - Final Project

The application and clinical translation of the self-evolving machine learning methods in predicting diabetic retinopathy and visualizing clinical transformation

The application and clinical translation of the self-evolving machine learning methods in predicting diabetic retinopathy and visualizing clinical transformation

Feature Importance and Explainability in Quantum Machine Learning - Comparison Study

Feature Importance and Explainability in Quantum Machine Learning - Comparison Study

Simulation-Informed Optimization and Machine Learning for Advanced Manufacturing

Simulation-Informed Optimization and Machine Learning for Advanced Manufacturing

Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning - Research report

Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning - Research report