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Exploring the interplay between learning and gene expression
2023/2024 PACHECO GARCIA, SOFIA
Extending SSL patches spatial relations in Vision Transformers for object detection and instance segmentation tasks
2022/2023 ZILIOTTO, FILIPPO
Federated multimodal learning for road scenes semantic segmentation
2022/2023 FELLA, ALESSANDRO
Floquet counterdiabatic protocols for Quantum Annealing on Parity architecture
2023/2024 BARONE, FRANCESCO PIO
Generalized Thermodynamics in Complex Information Dynamics: Optimization Techniques and Applications to Mammalian Connectomes
2023/2024 ROSHANA, MOJTABA
Gradient Boosting for High-Redshift Galaxies Identification in the Euclid Deep Fields
2020/2021 SIGNOR, THEOSAMUELE
Gradient-based quantum optimal control on superconducting qubit systems
2021/2022 PICCINELLI, SAMUELE
GTM-based aggregation for Graph Convolutional Neural Network
2020/2021 FRAZZETTO, PAOLO
Human action detection in temporal data
2023/2024 BABAKHANI, SARVENAZ
Improving Data Quality in Customer Relationship Management Systems: a method for cleaning personal information
2021/2022 LEONELLI, ELENA
Improving Mortgage Application Process with Machine Learning: A Case Study at Credem Bank
2022/2023 RINALDI, LUCA
Incorporating Machine Learning for Value-Based Pricing: An Innovative Framework Combining Quotation and Sales Analytics
2023/2024 CAPODAGLIO, ALESSANDRO MARIA
Information Theoretic Analysis of Deep Neural Networks
2023/2024 BERGAMIN, ELEONORA
Integration of FCCee workflows in ILCDirac for large scale Monte Carlo productions
2023/2024 VALENTINI, LORENZO
Interplay between exogenous triggers and endogenous behavioral changes in complex contagion processes on social systems
2020/2021 EMINENTE, CLARA
Latent variable models and sequence detection for neural population dynamics
2020/2021 COSTA, FILIPPO
Learnt Representation of Spatio-Temporal Point Clouds for Event Transformers
2022/2023 MARTIN TURRERO, CARMEN
Machine learning approach for structural timber strength grading starting from the computed tomography of the log
2022/2023 MIGLIORANZA, PIETRO
Machine learning approaches for plasma state monitoring in Tokamaks
2021/2022 VENTURINI, CRISTINA
Machine Learning Approaches to Enhance Revenue Capture in E-commerce Platforms
2023/2024 AUSILIO, LORENZO
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
Lauree magistrali | 2023 | Exploring the interplay between learning and gene expression | Exploring the interplay between learning and gene expression | PACHECO GARCIA, SOFIA | |
Lauree magistrali | 2022 | Extending SSL patches spatial relations in Vision Transformers for object detection and instance segmentation tasks | Extending SSL patches spatial relations in Vision Transformers for object detection and instance segmentation tasks | ZILIOTTO, FILIPPO | |
Lauree magistrali | 2022 | Federated multimodal learning for road scenes semantic segmentation | Federated multimodal learning for road scenes semantic segmentation | FELLA, ALESSANDRO | |
Lauree magistrali | 2023 | Floquet counterdiabatic protocols for Quantum Annealing on Parity architecture | Floquet counterdiabatic protocols for Quantum Annealing on Parity architecture | BARONE, FRANCESCO PIO | |
Lauree magistrali | 2023 | Generalized Thermodynamics in Complex Information Dynamics: Optimization Techniques and Applications to Mammalian Connectomes | Generalized Thermodynamics in Complex Information Dynamics: Optimization Techniques and Applications to Mammalian Connectomes | ROSHANA, MOJTABA | |
Lauree magistrali | 2020 | Gradient Boosting for High-Redshift Galaxies Identification in the Euclid Deep Fields | Gradient Boosting for High-Redshift Galaxies Identification in the Euclid Deep Fields | SIGNOR, THEOSAMUELE | |
Lauree magistrali | 2021 | Gradient-based quantum optimal control on superconducting qubit systems | Gradient-based quantum optimal control on superconducting qubit systems | PICCINELLI, SAMUELE | |
Lauree magistrali | 2020 | GTM-based aggregation for Graph Convolutional Neural Network | GTM-based aggregation for Graph Convolutional Neural Network | FRAZZETTO, PAOLO | |
Lauree magistrali | 2023 | Human action detection in temporal data | Human action detection in temporal data | BABAKHANI, SARVENAZ | |
Lauree magistrali | 2021 | Improving Data Quality in Customer Relationship Management Systems: a method for cleaning personal information | Improving Data Quality in Customer Relationship Management Systems: a method for cleaning personal information | LEONELLI, ELENA | |
Lauree magistrali | 2022 | Improving Mortgage Application Process with Machine Learning: A Case Study at Credem Bank | Improving Mortgage Application Process with Machine Learning: A Case Study at Credem Bank | RINALDI, LUCA | |
Lauree magistrali | 2023 | Incorporating Machine Learning for Value-Based Pricing: An Innovative Framework Combining Quotation and Sales Analytics | Incorporating Machine Learning for Value-Based Pricing: An Innovative Framework Combining Quotation and Sales Analytics | CAPODAGLIO, ALESSANDRO MARIA | |
Lauree magistrali | 2023 | Information Theoretic Analysis of Deep Neural Networks | Information Theoretic Analysis of Deep Neural Networks | BERGAMIN, ELEONORA | |
Lauree magistrali | 2023 | Integration of FCCee workflows in ILCDirac for large scale Monte Carlo productions | Integration of FCCee workflows in ILCDirac for large scale Monte Carlo productions | VALENTINI, LORENZO | |
Lauree magistrali | 2020 | Interplay between exogenous triggers and endogenous behavioral changes in complex contagion processes on social systems | Interplay between exogenous triggers and endogenous behavioral changes in complex contagion processes on social systems | EMINENTE, CLARA | |
Lauree magistrali | 2020 | Latent variable models and sequence detection for neural population dynamics | Latent variable models and sequence detection for neural population dynamics | COSTA, FILIPPO | |
Lauree magistrali | 2022 | Learnt Representation of Spatio-Temporal Point Clouds for Event Transformers | Learnt Representation of Spatio-Temporal Point Clouds for Event Transformers | MARTIN TURRERO, CARMEN | |
Lauree magistrali | 2022 | Machine learning approach for structural timber strength grading starting from the computed tomography of the log | Machine learning approach for structural timber strength grading starting from the computed tomography of the log | MIGLIORANZA, PIETRO | |
Lauree magistrali | 2021 | Machine learning approaches for plasma state monitoring in Tokamaks | Machine learning approaches for plasma state monitoring in Tokamaks | VENTURINI, CRISTINA | |
Lauree magistrali | 2023 | Machine Learning Approaches to Enhance Revenue Capture in E-commerce Platforms | Machine Learning Approaches to Enhance Revenue Capture in E-commerce Platforms | AUSILIO, LORENZO |
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