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A Machine Learning Framework for Acoustic Reflector Mapping - Research Proposal and Evaluation

A Machine Learning Framework for Acoustic Reflector Mapping - Research Proposal and Evaluation

Added by Clementine

Machine-Learning-Based Construction of Molecular Potential - Its Application in Exploring the Deep-Lying-Orbital Effect in High-Order Harmonic Generation

Machine-Learning-Based Construction of Molecular Potential - Its Application in Exploring the Deep-Lying-Orbital Effect in High-Order Harmonic Generation

Added by Clementine

Evaluating Interaction with Machine Learning Text Classifiers and Interpretability Techniques - Dissertation

Evaluating Interaction with Machine Learning Text Classifiers and Interpretability Techniques - Dissertation

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Early-Stage Venture Financing - A Data-Driven Approach with Machine Learning Application - Doctor of Philosophy Thesis

Early-Stage Venture Financing - A Data-Driven Approach with Machine Learning Application - Doctor of Philosophy Thesis

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A comprehensive review of machine learning and deep learning models for non-intrusive load monitoring - performance, analyses, practical insights, and emerging trends

A comprehensive review of machine learning and deep learning models for non-intrusive load monitoring - performance, analyses, practical insights, and emerging trends

Added by Clementine

A machine-learning-based perspective on deep convective clouds and their organisation in 3D - Part 2 - Spatial–temporal patterns of convective organisation

A machine-learning-based perspective on deep convective clouds and their organisation in 3D - Part 2 - Spatial–temporal patterns of convective organisation

Added by Clementine

Predicting food prices in Kenya using machine learning - a hybrid model approach with XGBoost and gradient boosting

Predicting food prices in Kenya using machine learning - a hybrid model approach with XGBoost and gradient boosting

Added by Clementine

Identifying metabolism-related genes in liver cancer through weighted gene co-expression network analysis and machine learning

Identifying metabolism-related genes in liver cancer through weighted gene co-expression network analysis and machine learning

Added by Clementine

Explainability Versus Accuracy of Machine Learning Models - The Role of Task Uncertainty and Need for Interaction with the Machine Learning Model

Explainability Versus Accuracy of Machine Learning Models - The Role of Task Uncertainty and Need for Interaction with the Machine Learning Model

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Integrating advanced frequency-domain signal processing with machine learning for accurate leak detection in subsurface CO2 storage - Article Abstract

Integrating advanced frequency-domain signal processing with machine learning for accurate leak detection in subsurface CO2 storage - Article Abstract

Added by Clementine

Metabolome profiling by untargeted metabolomics and biomarker panel selection using machine-learning for patients in different stages of peripheral neuropathy induced by oxaliplatin

Metabolome profiling by untargeted metabolomics and biomarker panel selection using machine-learning for patients in different stages of peripheral neuropathy induced by oxaliplatin

Added by Clementine

Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning - Part 1

Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning - Part 1

Added by Clementine

Dynamic Optimisation for Graded Tissue Scaffolds Using Machine Learning Techniques

Dynamic Optimisation for Graded Tissue Scaffolds Using Machine Learning Techniques

Added by Clementine

Explainability in Machine Learning Models - A Shap-Driven Framework for Misclassification Analysis and Feature Selection

Explainability in Machine Learning Models - A Shap-Driven Framework for Misclassification Analysis and Feature Selection

Added by Clementine

Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data - lessons learned

Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data - lessons learned

Added by Clementine