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List of theses with "Calimera, Andrea as relator"

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Number of items: 34.

26 October 2017

[img] Luca Mocerino. Data-flow analysis and optimization in Convolutional Neural Networks on-chip. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2017

[img] Federico Pugliese. Optimization and compression methods for recurrent neural networks on-chip. Rel. Andrea Calimera, Valerio Tenace. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2017

15 December 2017

[img] Francesco Buttafuoco. Hardware Acceleration of Image Processing Algorithms on Low-Power Embedded Platforms. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2017

26 July 2018

[img] Ignacio Goldman. Quantifying the figures of merit of MAC architectures for Deep Learning Accelerators. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018

29 October 2018

[img] Antonio Cipolletta. A CoSimulation Framework for Assessment of Power Knobs in Deep-Learning Accelerators. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018

[img] Nicolo' Morando. Design of a distributed control unit for reconfigurable CNN accelerators. Rel. Andrea Calimera, Valerio Tenace. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018

[img] Adriele Burco. Exploring Neural-symbolic Integration Architectures for Computer Vision. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2018

[img] Alessio Burrello. One-shot Learning for Seizure Detection and Identification of Epileptogenic Brain Regions from Long-time Human iEEG Recording with End-to-end Binary Operations. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2018

14 December 2018

Francesco Vaiana. Architectural design of a configurable hardware accelerator for neural network processing. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018

[img] Alessandro Costantini. Convolutional Neural Networks-based recognition pipeline for Robot Manipulation. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018

Flavio Ponzina. Hardware Aware Optimization of Embedded Convolutional Neural Networks. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018

[img] Fabio Castagno. Key Management Unit for RISC-V Secure Processor. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2018

18 December 2019

[img] Giuseppe Calderoni. Hardware acceleration for AI, robust pose estimation and neural networks. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2019

27 March 2020

Yimaier Dilimureti. Characterization of Software Libraries on Embedded Cores. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2020

[img] Alessandro Tempia Calvino. Implementation of Algorithms for Synthesis of Digital Circuits. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2020

Simone Antonio Iammarino. Optimization of Neural Networks on Microcontrollers. Rel. Andrea Calimera, Valentino Peluso. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2020

1 April 2020

Rehan Razzaque Rajput. Machine Learning for the generation of vias in Integrated Circuits. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2020

28 July 2020

Francesco Ricci. Training and Optimization of Neural Networks for Embedded Systems. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2020

23 October 2020

[img] Ahmed Gamaleldin Abdelhamid Ba Hussein. Design & optimization method of custom HW accelerators. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2020

Riccardo Alidori. Hardware support for a novel variable precision floating point format in a scientific computing environment. Rel. Andrea Calimera, Andrea Bocco. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2020

16 April 2021

Giorgio Palmieri. A Decoupled Access-Execute Reconfigurable Systolic Architecture. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2021

27 July 2021

Mario Zurlo. Feasibility study of machine learning capabilities integration into the microcontroller of the new generation of ABB circuit breakers. Rel. Andrea Calimera, Antonello Antoniazzi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2021

26 October 2021

Emanuele Dri. Automatising defect management tasks for app developers: a Machine Learning approach. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science and Engineering, 2021

[img] Lorenzo De Nisi. Large-scale video scene retrieval through Transformer Encoder. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science and Engineering, 2021

17 December 2021

[img] Erich Malan. OPTIMIZATION OF CONVOLUTIONAL NEURAL NETWORKS TRAINING FOR FEDERATED LEARNING ON EMBEDDED SYSTEMS. Rel. Andrea Calimera, Valentino Peluso. Politecnico di Torino, Corso di laurea magistrale in Data Science and Engineering, 2021

[img] Nicole Dai Pra. A Python-based Hardware Generation Framework for Tensor Systolic Accelerators. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021

13 April 2022

[img] Ivan Murabito. DEEP LEARNING AT THE EDGE Optimizations of object detection models for embedded devices. Rel. Andrea Calimera, Antonio Defina. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2022

Lucrezia Dimatera. Development of a portable predictive model for the real-time estimation of Pulmonary Ventilation. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science and Engineering, 2022

[img] Davide Emanuele Miceli. Image Recognition Benchmark with Different Embedded Solutions: Google TPU, RockChip NPU, NVIDIA GPU. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science and Engineering, 2022

29 July 2022

[img] Giacomo Zema. Assessing Feasibility and Performance of Real-Time Semantic Segmentation in an Industrial IoT use case. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science and Engineering, 2022

[img] Pedro Antonio Hernandez Zamarron. Data Selection via Semantic Similarity for Resource-Efficient Transfer Learning of Image Classifiers. Rel. Andrea Calimera, Valentino Peluso. Politecnico di Torino, Corso di laurea magistrale in Data Science and Engineering, 2022

Ruben Berteletti. Evaluating Algorithmic Optimization Strategies for Training CNNs Under Resource Constraints. Rel. Andrea Calimera, Valentino Peluso. Politecnico di Torino, Corso di laurea magistrale in Data Science and Engineering, 2022

[img] Edoardo Fantolino. Evaluation of Active Learning for Anomaly Detection in Images. Rel. Andrea Calimera, Valentino Peluso. Politecnico di Torino, Corso di laurea magistrale in Data Science and Engineering, 2022

[img] Sara Bodo. Implementation of an AI-based monitoring system to proactively identify and analyze performances decay of AI models. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science and Engineering, 2022

This list was generated on Fri Sep 23 22:50:21 2022 CEST.