Sfoglia per Corso COMPUTER SCIENCE AND ENGINEERING - INGEGNERIA INFORMATICA
3D CNNs for Automated Lesion and Regions Segmentation in Rodents with Traumatic Brain Injury
2023/2024 De Salvo, Marcello
3D edges reconstruction from multi-view stereopsis
2015/2016 BIGNOLI, ANDREA
3D position estimation using deep learning
2017/2018 PEDRAZZINI, FILIPPO
3D reconstruction and segmentation for vineyard plant phenotyping
2018/2019 BERTOGLIO, RICCARDO
3D reconstruction from stereo video acquired from odontoiatric microscope
2017/2018 SPATAFORA, LEONARDO
3D Scene Understanding in Agricultural Environment
2023/2024 Braccini, Alessio
3D shape matching methods for nasal cavities
2018/2019 GAZZANIGA, EDOARDO
A benchmarking suite and a machine learning library for big data applications performance evaluation
2017/2018 SAHIN, ELIF
A big data analysis framework for model-driven Web analytics
2016/2017 KOKA, THANAS
A big data decision support system for the evaluation of mass market promotional events
2016/2017 CERIANI, VALENTINA
A Business-Oriented Methodology for Enterprise Automated Testing
2022/2023 Elli, Cristina
A Comparative Analysis of Machine Learning and Time Series Models for Alarm Forecasting
2022/2023 Alparone, Andrea
A comparative research on non stationary time series prediction : the case of aluminium price
2018/2019 COSTA, LUCA
A comparison of different neural networks for agricultural image segmentation
2016/2017 CEREDA, STEFANO
A comprehensive methodology for assortment optimization in the retail industry
2017/2018 SABATELLI, ANTONELLA
A comprehensive methodology for the application of clustering algorithms
2015/2016 MARANGONI, DANIELE
A conceptual modeling approach for the rapid development of chatbots for conversational data exploration
2018/2019 CASTALDO, NICOLA
A condition monitoring system for oil & gas drilling operations
2017/2018 URZINO, DAVIDE
A context-aware recommender system by means of facial expressions and pairwise comparisons
2017/2018 MALEKI, NIMA
A dashboard application for prediction of out-of-the-ordinary financial events. Data collection and recommendations
2016/2017 RISTOVSKI, MITE
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