ancora Sembrare Sessione plenaria optimization for machine learning polito Sarabo arabo Nathaniel Ward Dedicare
CCE_16 Title of the doctoral program Computer and control engineering Title of the research activity Sparse and large-scale opt
Borse scudo
Teaching - ArtIStE - Artificial Intelligence In Structural Engineering
Deep learning techniques for micro-launchers branching trajectories optimization - Webthesis
Dermatological image analysis – BIOLAB@PoliTO
ML Optimization Methods and Techniques
Application of a Machine Learning Algorithm for the Structural Optimization of Circular Arches with Different Cross-Sections
PhD student positions | SmartData@PoliTO
PDF) Attack Prevention in IoT through Hybrid Optimization Mechanism and Deep Learning Framework
Machine Learning and optimization: an approach for real-world discrete problems
Challenge: Water leakages detection Proposed by: Team Members: Objectives: Allow water utilities to increase revenues by using a
Optimization of machine learning models for the safeguards verification of spent fuel assemblies - Webthesis
Structural Design and Optimization - ArtIStE - Artificial Intelligence In Structural Engineering
Publications - ArtIStE - Artificial Intelligence In Structural Engineering
Dottorato di ricerca in
PhD in Computer and Control Engineering Research Title: Implementation of Machine Learning Algorithms on Ultra-Low-Power Hardwar
3 questions with Marzia Polito: Performing computer vision tasks at scale with few-shot learning - Amazon Science
SMaLL
ArtIStE - Artificial Intelligence In Structural Engineering - ArtIStE - Artificial Intelligence In Structural Engineering
3 questions with Marzia Polito: Performing computer vision tasks at scale with few-shot learning - Amazon Science
Optimization of an RNA coarse-grained force field with Machine Learning - Webthesis
Artificial Intelligence & High Performance Computing
CARS - Corso di didattica d'eccellenza "Advanced Topics in Energy storage system and electric vehicle drivetrain design" tenuto dal Dr. P. J. Kollmeyer
Training Kernel Neural ODEs with optimal control and Riemannian optimization - Webthesis