Sfoglia per Corso
Multi-step Traffic Prediction at the Mobile Edge through Distributed and Transfer Learning
2020/2021 PETRELLA, ALFREDO
Multilingual fine-grained sentiment text classification of web content for advertising technology applications
2022/2023 ZAFALON KOVACS, NICOLE
Multiple Time Series Forecasting with Temporal Fusion Transformers
2022/2023 ZIRALDO, GAIA
Neural Topic Modelling of Short Text Survey Responses in Italian Market Research
2023/2024 CASARELLA, CECILIA
New Risk Measures: Magnitude and Propensity Approach
2022/2023 OZ, HAVVA NILSU
Novelty Detection: the importance of looking at the big picture without forgetting the smaller one.
2020/2021 CANTAGALLO, FRANCESCO MARIA
Object detection for industrial food recognition
2022/2023 IANKO, PAVEL
Online Opinion Summarization: Unsupervised approach applied on customer reviews
2020/2021 CHARNELLI, MARÍA EMILIA
Open-set person identification based on mm-Wave Radar Point-clouds using Siamese Neural Networks.
2021/2022 TRAN, BACH KHOA
Optimal Initial Bid and New Keywords Suggestion in Sponsored Search Auctions
2020/2021 SQUARCINA, GIULIANO
Optimization of Electric Scooter Rebalancing Tour through Mathematical programming
2022/2023 ANDADARI, GITA RAYUNG
Optimization of embedding alignment for bias analysis
2022/2023 WU, XIANLONG
Optimizing Energy Efficiency of Lithography Machines
2022/2023 BISSACCO, ANGELA
Optimizing the Energy Consumption Costs of a Production Plant
2022/2023 ABA, MARIA
Overcoming data limitations: Few-shots classification for Radar-Based Hand Gesture Recognition
2022/2023 CALISTRONI, FRANCESCO MARIA
Overview of the Multi-Task Mutual Learning Technique: A Comparative Analysis of Different Models for Sentiment Analysis and Topic Detection
2022/2023 POSENATO, MATTEO
Passive crowd counting using the channel state information from commercial WiFi routers
2020/2021 TRONU, MARCO
Performance estimation methods for diagnosing model quality degradation under covariate shift
2022/2023 VIQUEZ SEGURA, SANTIAGO
Performance evaluation of a residual-based approach and clustering for time series with application to demand forecasting
2021/2022 SINIGAGLIA, ANDREA
Piattaforma interattiva online per l'introduzione alla Data Science
2020/2021 GHIOTTO, DAVIDE
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2020 | Multi-step Traffic Prediction at the Mobile Edge through Distributed and Transfer Learning | Multi-step Traffic Prediction at the Mobile Edge through Distributed and Transfer Learning | PETRELLA, ALFREDO | |
| Lauree magistrali | 2022 | Multilingual fine-grained sentiment text classification of web content for advertising technology applications | Multilingual fine-grained sentiment text classification of web content for advertising technology applications | ZAFALON KOVACS, NICOLE | |
| Lauree magistrali | 2022 | Multiple Time Series Forecasting with Temporal Fusion Transformers | Multiple Time Series Forecasting with Temporal Fusion Transformers | ZIRALDO, GAIA | |
| Lauree magistrali | 2023 | Neural Topic Modelling of Short Text Survey Responses in Italian Market Research | Neural Topic Modelling of Short Text Survey Responses in Italian Market Research | CASARELLA, CECILIA | |
| Lauree magistrali | 2022 | New Risk Measures: Magnitude and Propensity Approach | New Risk Measures: Magnitude and Propensity Approach | OZ, HAVVA NILSU | |
| Lauree magistrali | 2020 | Novelty Detection: the importance of looking at the big picture without forgetting the smaller one. | Novelty Detection: the importance of looking at the big picture without forgetting the smaller one. | CANTAGALLO, FRANCESCO MARIA | |
| Lauree magistrali | 2022 | Object detection for industrial food recognition | Object detection for industrial food recognition | IANKO, PAVEL | |
| Lauree magistrali | 2020 | Online Opinion Summarization: Unsupervised approach applied on customer reviews | Online Opinion Summarization: Unsupervised approach applied on customer reviews | CHARNELLI, MARÍA EMILIA | |
| Lauree magistrali | 2021 | Open-set person identification based on mm-Wave Radar Point-clouds using Siamese Neural Networks. | Open-set person identification based on mm-Wave Radar Point-clouds using Siamese Neural Networks. | TRAN, BACH KHOA | |
| Lauree magistrali | 2020 | Optimal Initial Bid and New Keywords Suggestion in Sponsored Search Auctions | Optimal Initial Bid and New Keywords Suggestion in Sponsored Search Auctions | SQUARCINA, GIULIANO | |
| Lauree magistrali | 2022 | Optimization of Electric Scooter Rebalancing Tour through Mathematical programming | Optimization of Electric Scooter Rebalancing Tour through Mathematical programming | ANDADARI, GITA RAYUNG | |
| Lauree magistrali | 2022 | Optimization of embedding alignment for bias analysis | Optimization of embedding alignment for bias analysis | WU, XIANLONG | |
| Lauree magistrali | 2022 | Optimizing Energy Efficiency of Lithography Machines | Optimizing Energy Efficiency of Lithography Machines | BISSACCO, ANGELA | |
| Lauree magistrali | 2022 | Optimizing the Energy Consumption Costs of a Production Plant | Optimizing the Energy Consumption Costs of a Production Plant | ABA, MARIA | |
| Lauree magistrali | 2022 | Overcoming data limitations: Few-shots classification for Radar-Based Hand Gesture Recognition | Overcoming data limitations: Few-shots classification for Radar-Based Hand Gesture Recognition | CALISTRONI, FRANCESCO MARIA | |
| Lauree magistrali | 2022 | Overview of the Multi-Task Mutual Learning Technique: A Comparative Analysis of Different Models for Sentiment Analysis and Topic Detection | Overview of the Multi-Task Mutual Learning Technique: A Comparative Analysis of Different Models for Sentiment Analysis and Topic Detection | POSENATO, MATTEO | |
| Lauree magistrali | 2020 | Passive crowd counting using the channel state information from commercial WiFi routers | Passive crowd counting using the channel state information from commercial WiFi routers | TRONU, MARCO | |
| Lauree magistrali | 2022 | Performance estimation methods for diagnosing model quality degradation under covariate shift | Performance estimation methods for diagnosing model quality degradation under covariate shift | VIQUEZ SEGURA, SANTIAGO | |
| Lauree magistrali | 2021 | Performance evaluation of a residual-based approach and clustering for time series with application to demand forecasting | Performance evaluation of a residual-based approach and clustering for time series with application to demand forecasting | SINIGAGLIA, ANDREA | |
| Lauree magistrali | 2020 | Piattaforma interattiva online per l'introduzione alla Data Science | Interactive online platform for introduction to Data Science | GHIOTTO, DAVIDE |
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