Sfoglia per Corso
Action Recognition in Low-Resolution Videos
2021/2022 DAMETTO, ALEX
Addressing State Representation in Deep Reinforcement Learning: a critical analysis of state-of-the-art” methods
2021/2022 CANNAVÒ, FIAMMETTA
Advances in Submodularity: Optimization and Probabilistic Models
2020/2021 SCHIABEL, ALBERTO
Analisi di sicurezza delle applicazioni Xiaomi di sistema e delle applicazioni Xiaomi sul Google Play Store
2021/2022 AGNELLO, MICHELE
Analysis of the implementation of the Stipula legal calculus using Distributed Ledger Technologies
2022/2023 ZANARDO, FEDERICO
Analyzing Sanctioned Suicide: a case study on pro-choice suicide sites
2021/2022 SARTORI, ELISA
Applicazione di un Sistema di Raccomandazione in ambito BTB
2020/2021 ROSSI, DANIEL
Approcci di apprendimento automatico per l'interpretazione delle interfacce grafiche
2020/2021 PERON, GIOVANNI
Automatic vulnerability testing in android applications
2023/2024 TODESCATO, MATTEO
Battery State of Charge estimation using a Machine Learning approach
2020/2021 LUCCHETTA, BRYAN
Co.Thi.: using Learning Analytics to measure the acquisition of Computational Thinking skills
2021/2022 POZZAN, GABRIELE
Comparing Multi Object-Goal Navigation Models
2020/2021 GREGGIO, GIACOMO
Computer Vision per la stima automatizzata della distanza nelle interazioni genitore-figlio
2021/2022 BIOLCATI RINALDI, IGOR
Detection of Discriminating Behavioral Rules to pinpoint Differences between Event Logs
2020/2021 MENEGHELLO, FRANCESCA
Enforcing fairness in graph representation learning
2021/2022 CALDART, FEDERICO
Enhancing Variational Autoencoders Sample Quality by Promoting Diversity and Originality
2020/2021 BERGAMIN, LUCA
Exploiting patches spatial relations in self-supervised models for vision tasks
2021/2022 MELISSARI, LUCA
Extending Gated Linear Networks for Continual Learning
2021/2022 MUNARI, MATTEO
Forecasting epileptic seizures from electroencephalograms using deep neural networks
2022/2023 POZZA, MARCO
From SMILES to graphs: molecule representation in deep learning to predict chemical reactions
2022/2023 DEI NEGRI, LORENZO
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
Lauree magistrali | 2021 | Action Recognition in Low-Resolution Videos | Action Recognition in Low-Resolution Videos | DAMETTO, ALEX | |
Lauree magistrali | 2021 | Addressing State Representation in Deep Reinforcement Learning: a critical analysis of state-of-the-art” methods | Addressing State Representation in Deep Reinforcement Learning: a critical analysis of state-of-the-art” methods | CANNAVÒ, FIAMMETTA | |
Lauree magistrali | 2020 | Advances in Submodularity: Optimization and Probabilistic Models | Advances in Submodularity: Optimization and Probabilistic Models | SCHIABEL, ALBERTO | |
Lauree magistrali | 2021 | Analisi di sicurezza delle applicazioni Xiaomi di sistema e delle applicazioni Xiaomi sul Google Play Store | Security comparison between Xiaomi system applications and Xiaomi applications on the Google Play Store | AGNELLO, MICHELE | |
Lauree magistrali | 2022 | Analysis of the implementation of the Stipula legal calculus using Distributed Ledger Technologies | Analysis of the implementation of the Stipula legal calculus using Distributed Ledger Technologies | ZANARDO, FEDERICO | |
Lauree magistrali | 2021 | Analyzing Sanctioned Suicide: a case study on pro-choice suicide sites | Analyzing Sanctioned Suicide: a case study on pro-choice suicide sites | SARTORI, ELISA | |
Lauree magistrali | 2020 | Applicazione di un Sistema di Raccomandazione in ambito BTB | Recommendation system implementation for btb | ROSSI, DANIEL | |
Lauree magistrali | 2020 | Approcci di apprendimento automatico per l'interpretazione delle interfacce grafiche | Machine learning approaches for the interpretation of Graphical User Interfaces | PERON, GIOVANNI | |
Lauree magistrali | 2023 | Automatic vulnerability testing in android applications | Automatic vulnerability testing in android applications | TODESCATO, MATTEO | |
Lauree magistrali | 2020 | Battery State of Charge estimation using a Machine Learning approach | Battery State of Charge estimation using a Machine Learning approach | LUCCHETTA, BRYAN | |
Lauree magistrali | 2021 | Co.Thi.: using Learning Analytics to measure the acquisition of Computational Thinking skills | Co.Thi.: using Learning Analytics to measure the acquisition of Computational Thinking skills | POZZAN, GABRIELE | |
Lauree magistrali | 2020 | Comparing Multi Object-Goal Navigation Models | Comparing Multi Object-Goal Navigation Models | GREGGIO, GIACOMO | |
Lauree magistrali | 2021 | Computer Vision per la stima automatizzata della distanza nelle interazioni genitore-figlio | Computer Vision for automated distance estimation in parent-child interactions | BIOLCATI RINALDI, IGOR | |
Lauree magistrali | 2020 | Detection of Discriminating Behavioral Rules to pinpoint Differences between Event Logs | Detection of Discriminating Behavioral Rules to pinpoint Differences between Event Logs | MENEGHELLO, FRANCESCA | |
Lauree magistrali | 2021 | Enforcing fairness in graph representation learning | Enforcing fairness in graph representation learning | CALDART, FEDERICO | |
Lauree magistrali | 2020 | Enhancing Variational Autoencoders Sample Quality by Promoting Diversity and Originality | Enhancing Variational Autoencoders Sample Quality by Promoting Diversity and Originality | BERGAMIN, LUCA | |
Lauree magistrali | 2021 | Exploiting patches spatial relations in self-supervised models for vision tasks | Exploiting patches spatial relations in self-supervised models for vision tasks | MELISSARI, LUCA | |
Lauree magistrali | 2021 | Extending Gated Linear Networks for Continual Learning | Extending Gated Linear Networks for Continual Learning | MUNARI, MATTEO | |
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 | 2022 | From SMILES to graphs: molecule representation in deep learning to predict chemical reactions | From SMILES to graphs: molecule representation in deep learning to predict chemical reactions | DEI NEGRI, LORENZO |
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