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Cerca per relatore della tesi

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Titolo Corso di studi Anno di discussione Relatore
Design and Development of a Transformer-Based Model for Subject-Invariant R-Peak Localization in EEG Signals ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING 2026
Extracting Region-Aware Counterfactual Rules for Model-Agnostic Explainable Artificial Intelligence COMPUTER ENGINEERING 2025
Analysis of a counterfactual-based feature importance measure: fidelity, computational cost and influencing factors ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING 2025
A double quantization approach for autonomous concept learning in sleep staging ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING 2025
Enabling Concept-Embedding Models for Sleep Staging through Automatic Prototype-Based Learning of Concepts ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING 2024
Design and Experimental Evaluation of a Novel Model-Agnostic Feature Importance Measure for Quality Measures in Industrial Production Processes ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING 2023
Analyzing brain data for robust emotion recognition via conceptual decomposition based on autoencoders ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING 2023
Sleep stage recognition supported by instances-based explanation via contrastive learning ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING 2023
Explainable emotion recognition via a novel loss function based on informed contrastive learning ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING 2023
Concept-wise architecture with topology learning for explainable emotion classification COMPUTER ENGINEERING 2022
A novel feature importance measure to explain the quality level prediction in Smart Manufacturing ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING 2022
Distance-based representation learning for recognizing emotions via EEG data ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING 2022

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