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Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2020 A study of spiking neural networks for biologically plausible deep learning A study of spiking neural networks for biologically plausible deep learning DE MATOLA, MATTEO
Lauree magistrali 2020 Active Learning for ticket prediction Active Learning for ticket prediction LANZA, ENRICO
Lauree magistrali 2023 Analisi di segnale EEG per la predizione di crisi epilettiche Analysis of EEG signals for the prediction of epileptic seizures MEDVEDEVA, NATALYA
Lauree triennali 2021 Augmenting convolutional neural networks with kernels inspired by the early visual system Augmenting convolutional neural networks with kernels inspired by the early visual system ROVOLETTO, MATTEO BRUNO
Lauree magistrali 2021 Classificazione gerarchica di testo in ambito e-commerce Hierarchical classification of text in e-commerce context VACCARO, FABIO
Lauree magistrali 2021 Classifying community text and community groups using machine learning Classifying community text and community groups using machine learning HUANG, ZESEN
Lauree magistrali 2021 Deep learning techniques for biological signal processing: Automatic detection of dolphin sounds Deep learning techniques for biological signal processing: Automatic detection of dolphin sounds KORKMAZ, BURLA NUR
Lauree magistrali 2020 Deep Reinforcement Learning methods for StarCraft II Learning Environment - Dainese, Nicola
Lauree magistrali 2022 DeTT: Data Efficient Temporal Transformers for Surgical Phase Recognition DeTT: Data Efficient Temporal Transformers for Surgical Phase Recognition KULAZHENKOV, IVAN
Lauree magistrali 2020 Distributed Deep Reinforcement Learning for Drone Swarm Control - Venturini, Federico
Lauree magistrali 2022 Early-Stage Alzheimer's Disease Detection Using an Explainable Deep Learning Method and Functional Magnetic Resonance Imaging (fMRI) Early-Stage Alzheimer's Disease Detection Using an Explainable Deep Learning Method and Functional Magnetic Resonance Imaging (fMRI) EBRAHIMIAN BABOUKANI, REZA
Lauree magistrali 2023 Enhancing Default Prediction with Mixed High-Frequency Market Data Enhancing Default Prediction with Mixed High-Frequency Market Data TROGU, SOFIA POPE
Lauree magistrali 2022 Evaluation of basic mathematical abilities of neural networks Evaluation of basic mathematical abilities of neural networks HOU, KUINAN
Lauree magistrali 2020 Explainability of machine learning models: A systematic review and a case study on BERT Explainability of machine learning models: A systematic review and a case study on BERT ARCUDI, ALESSIO
Lauree magistrali 2022 Exploiting Large Language Models to Train Automatic Detectors of Sensitive Data Exploiting Large Language Models to Train Automatic Detectors of Sensitive Data DE RENZIS, SIMONE
Lauree magistrali 2023 FINE-TUNING DEEP LEARNING MODELS FOR AUTOMATED BIRD RECOGNITION: AN EMPIRICAL EVALUATION OF BIRDNET FINE-TUNING DEEP LEARNING MODELS FOR AUTOMATED BIRD RECOGNITION: AN EMPIRICAL EVALUATION OF BIRDNET TEYMOURI, SAMIRA
Lauree magistrali 2022 Forecasting epileptic seizures from electroencephalograms using deep neural networks Forecasting epileptic seizures from electroencephalograms using deep neural networks POZZA, MARCO
Lauree magistrali 2021 Generative adversarial network for predictive maintenance of a packaging machine Generative adversarial network for predictive maintenance of a packaging machine RASETTA, ADRIANO
Lauree magistrali 2021 Investigating the dynamics of spontaneous activity in energy-based neural networks Investigating the dynamics of spontaneous activity in energy-based neural networks TAUSANI, LORENZO
Lauree magistrali 2023 Key Information Extraction from Visually-Rich Documents Key Information Extraction from Visually-Rich Documents VIRGINIO, GIACOMO
Mostrati risultati da 1 a 20 di 38
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