Sfoglia per Corso
Law and Order: un Motore di Ricerca per il Diritto Italiano
2020/2021 ROMARE, PIERO
Learned spike encoding of the channel response for low-power environment sensing
2022/2023 CICCIARELLA, ELEONORA
Learning constraints from human stop-feedbacks in Reinforcement Learning
2021/2022 POLETTI, SILVIA
Learning to Reject within a Bilevel Optimization Framework
2023/2024 SANGUIN, GABRIELE
Leveraging DAGs for Asset Allocation
2021/2022 CAPRINI, LORENZO
Leveraging Machine Learning for Hospital Segmentation based on potential caseload: A Case Study Approach
2022/2023 DI FRANCESCO, REBECCA
Lifted Inference Beyond First Order Logic
2022/2023 BIZZARO, DAVIDE
Linear Interacting Peptides (LIPs) detection in protein sequences based on embedding models
2023/2024 CARANGELO, RICCARDO
Logic Tensor Networks for Sequential Events Modelling
2023/2024 RINALDI, DAVIDE
Logical Fallacies Detection using Large Language Models
2023/2024 PAPADOPULOS, ELENI
Lost Revenue Recognition in E-commerce: Identifying Causes and Implications
2022/2023 KUSMENOGLU, BERKE FURKAN
Machine and Deep Learning Applications for Inventory Replenishment Optimization
2022/2023 ANDREETTA, MASSIMO
Machine and Deep Learning Applications for Purchasing Plan
2023/2024 BOLDRINI, FILIPPO
Machine learning models for the discovery of new plastics degradation enzymes
2023/2024 MINTO, STEFANO
Machine Learning-based Image Forgery Detection
2022/2023 ELFES, JAN
Macroeconomic Variables Forecasting using Machine and Deep Learning Models
2022/2023 COLATO, CHIARA
Metagenomics data analysis: development and application of AI methods for gut microbiome community characterization in IBD
2021/2022 PEDERIVA, VERONICA
Micro-estimates of Multidimensional Child Poverty in sub-Saharan Africa
2021/2022 VICINI, MARINA
Minimum number of data points estimation for supervised ML problems
2021/2022 POZZAN, MATTEO
MobilitySpark: Big Mobility Data Management with PySpark and PyMEOS
2023/2024 LEON VILLAPUN, LUIS ALFREDO
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
Lauree magistrali | 2020 | Law and Order: un Motore di Ricerca per il Diritto Italiano | Law and Order: a Search Engine for Italian Law | ROMARE, PIERO | |
Lauree magistrali | 2022 | Learned spike encoding of the channel response for low-power environment sensing | Learned spike encoding of the channel response for low-power environment sensing | CICCIARELLA, ELEONORA | |
Lauree magistrali | 2021 | Learning constraints from human stop-feedbacks in Reinforcement Learning | Learning constraints from human stop-feedbacks in Reinforcement Learning | POLETTI, SILVIA | |
Lauree magistrali | 2023 | Learning to Reject within a Bilevel Optimization Framework | Learning to Reject within a Bilevel Optimization Framework | SANGUIN, GABRIELE | |
Lauree magistrali | 2021 | Leveraging DAGs for Asset Allocation | Leveraging DAGs for Asset Allocation | CAPRINI, LORENZO | |
Lauree magistrali | 2022 | Leveraging Machine Learning for Hospital Segmentation based on potential caseload: A Case Study Approach | Leveraging Machine Learning for Hospital Segmentation based on potential caseload: A Case Study Approach | DI FRANCESCO, REBECCA | |
Lauree magistrali | 2022 | Lifted Inference Beyond First Order Logic | Lifted Inference Beyond First Order Logic | BIZZARO, DAVIDE | |
Lauree magistrali | 2023 | Linear Interacting Peptides (LIPs) detection in protein sequences based on embedding models | Linear Interacting Peptides (LIPs) detection in protein sequences based on embedding models | CARANGELO, RICCARDO | |
Lauree magistrali | 2023 | Logic Tensor Networks for Sequential Events Modelling | Logic Tensor Networks for Sequential Events Modelling | RINALDI, DAVIDE | |
Lauree magistrali | 2023 | Logical Fallacies Detection using Large Language Models | Logical Fallacies Detection using Large Language Models | PAPADOPULOS, ELENI | |
Lauree magistrali | 2022 | Lost Revenue Recognition in E-commerce: Identifying Causes and Implications | Lost Revenue Recognition in E-commerce: Identifying Causes and Implications | KUSMENOGLU, BERKE FURKAN | |
Lauree magistrali | 2022 | Machine and Deep Learning Applications for Inventory Replenishment Optimization | Machine and Deep Learning Applications for Inventory Replenishment Optimization | ANDREETTA, MASSIMO | |
Lauree magistrali | 2023 | Machine and Deep Learning Applications for Purchasing Plan | Machine and Deep Learning Applications for Purchasing Plan | BOLDRINI, FILIPPO | |
Lauree magistrali | 2023 | Machine learning models for the discovery of new plastics degradation enzymes | Machine learning models for the discovery of new plastics degradation enzymes | MINTO, STEFANO | |
Lauree magistrali | 2022 | Machine Learning-based Image Forgery Detection | Machine Learning-based Image Forgery Detection | ELFES, JAN | |
Lauree magistrali | 2022 | Macroeconomic Variables Forecasting using Machine and Deep Learning Models | Macroeconomic Variables Forecasting using Machine and Deep Learning Models | COLATO, CHIARA | |
Lauree magistrali | 2021 | Metagenomics data analysis: development and application of AI methods for gut microbiome community characterization in IBD | Metagenomics data analysis: development and application of AI methods for gut microbiome community characterization in IBD | PEDERIVA, VERONICA | |
Lauree magistrali | 2021 | Micro-estimates of Multidimensional Child Poverty in sub-Saharan Africa | Micro-estimates of Multidimensional Child Poverty in sub-Saharan Africa | VICINI, MARINA | |
Lauree magistrali | 2021 | Minimum number of data points estimation for supervised ML problems | Minimum number of data points estimation for supervised ML problems | POZZAN, MATTEO | |
Lauree magistrali | 2023 | MobilitySpark: Big Mobility Data Management with PySpark and PyMEOS | MobilitySpark: Big Mobility Data Management with PySpark and PyMEOS | LEON VILLAPUN, LUIS ALFREDO |
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