Sfoglia per Relatore
Mostrati risultati da 1 a 20 di 20
A Deep Learning Method of Falls Detection Based on Wearable Sensors Data
2018/2019 HU, JIAN
A new machine learning model for the analysis of the time series sensor data
2018/2019 CUCUMETTI, ALEXANDRA
Comparing MLP and LSTM neural networks on product-level demand forecasting with a clustering approach
2018/2019 TARDIO, IVAN
Deep Reinforcement Learning for industrial robotic applications via virtual environments
2016/2017 RENDINIELLO, ANGELO
FALL DETECTION WITH SMARTPHONES USING RECURRENT NEURAL NETWORKS
2016/2017 BLAGO, NICOLA
LSTM implementation for fall detection using mobile triaxial accelerometers.
2018/2019 LONGHI, MANUELE
Model Based Reinforcement Learning Applied to Persuasive-task-oriented Conversational Agent
2019/2020 RASTELLI, REBECCA
Multimodal Deep Belief Networks for Genetic data Clustering
2015/2016 GERARD, GIANLUCA
Nonlinear Survival Analysis with Deep Neural Networks for Smart Car Stock Management
2020/2021 CORONELLI, ANTONIO MARIO
Normalizing Flows applicati al Deep Reinforcement Learning
2020/2021 MILANESI, PAOLO
Obstacle avoidance in industrial robotics with hybrid motion control and deep reinforcement learning
2018/2019 COLOSI, SIMONE
Probabilistic Prediction of Extreme Events in Time Series with Deep Learning Methods
2022/2023 CASSENTI, JACOPO
Rilevamento dei danni per l'ingegneria sismica basato sul deep learning tramite dati semi-sintetici
2022/2023 INCHINGOLO, MICHELE
Screening of histopathological images via conditional Fully Convolutional Networks: experiments with guided inference
2018/2019 MAESTRI, FRANCESCO
Shape detection in ultrasound 3d images via Neural Gas and Hough Transform.
2014/2015 CARCANO, LUCA
Slide screening for the diagnosis of breast cancer metastasis in lymph nodes via conditional, fully convolutional segmentation
2018/2019 STELLA, MARTINA
STUDIO DELL'APPLICAZIONE DELL'ALGORITMO SOAM ALLA RICOSTRUZIONE DI SUPERFICI DA NUVOLE DI PUNTI 3D TEMPO-VARIANTI.
2011/2012 GANDINI, LUCA
Two-layered Recursive Neural Gas: a new machine learning model for the analysis of time series sensor data (Gas neurale ricorsivo a due strati: un nuovo modello di machine learning per l'analisi delle serie temporali)
2018/2019 BAKMAZ, ANASTASIJA
Using Neural Networks with variable-sized input for creating feature predictors from large databases
2018/2019 FARINA, NICHOLAS SERGIO
Virtualization, simulation and automatic training for robotic systems
2016/2017 SANGIOVANNI, BIANCA
Mostrati risultati da 1 a 20 di 20
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