ANGUITA, DAVIDE

ANGUITA, DAVIDE  

100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi  

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Titolo Data di pubblicazione Autore(i) File
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications 1-gen-2007 Anguita, Davide; Ghio, Alessandro; Pischiutta, S.; Ridella, Sandro
A Heuristic Approach to Model Selection for Online Support Vector Machines 1-gen-2013 Anguita, Davide; Ghio, Alessandro; Lawal, ISAH ABDULLAHI; Oneto, Luca
A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator 1-gen-2015 Vahdat, Mehrnoosh; Oneto, Luca; Anguita, Davide; Funk, Mathias; Rauterberg, Matthias
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator 1-gen-2014 Vahdat, Mehrnoosh; Oneto, Luca; Ghio, Alessandro; Donzellini, Giuliano; Anguita, Davide; Funk, Mathias; Rauterberg, Matthias
A Learning Machine for Resource Limited Adaptive Hardware 1-gen-2007 Anguita, Davide; Ghio, Alessandro; Pischiutta, S.
A Learning Machine with a Bit-Based Hypothesis Space 1-gen-2013 Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Ridella, Sandro
A Learning-Machine Based Method for the Simulation of Combustion Process in Automotive I.C. Engines 1-gen-2003 Anguita, Davide; F., Rivieccio; M., Canova; P., Casoli; A., Gambarotta
A manufacturing value modeling methodology (MVMM): A value mapping and assessment framework for sustainable manufacturing 1-gen-2017 Demartini, Melissa; Orlandi, Ilenia; Tonelli, Flavio; Anguita, Davide
A New Method for Multiclass Support Vector Machines 1-gen-2004 Anguita, Davide; Ridella, Sandro; D., Sterpi
A New Transputer based Architecture for massive parallel computing systems 1-gen-1992 Anguita, Davide; F., Pagano; G., Parodi; Zunino, Rodolfo
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers 1-gen-2013 Anguita, Davide; Ghio, Alessandro; Oneto, Luca; J. L., Reyes Ortiz; Ridella, Sandro
A prediction of ship motions with a Support Vector Machine 1-gen-2002 Anguita, Davide; R., Necrisi; D., Sterpi; D., Tozzi
A Public Domain Dataset for Human Activity Recognition using Smartphones 1-gen-2013 Anguita, Davide; Ghio, Alessandro; Oneto, Luca; X., Parra; J. L., Reyes Ortiz
A Support Vector Machine Classifier from a Bit-Constrained, Sparse and Localized Hypothesis Space 1-gen-2013 Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Ridella, Sandro
A VLSI friendly algorithm for support vector machines 1-gen-1999 Anguita, Davide; A., Boni; Ridella, Sandro
Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT 1-gen-2021 D'Amato, V.; Volta, E.; Oneto, L.; Volpe, G.; Camurri, A.; Anguita, D.
Advanced analytics for train delay prediction systems by including exogenous weather data 1-gen-2016 Oneto, Luca; Fumeo, Emanuele; Clerico, Giorgio; Canepa, Renzo; Papa, Federico; Dambra, Carlo; Mazzino, Nadia; Anguita, Davide
Advances in Learning Analytics and Educational Data Mining 1-gen-2015 Vahdat, Mehrnoosh; Ghio, Alessandro; Oneto, Luca; Anguita, Davide; Funk, Mathias; Rauterberg, Matthias
Advances in learning with kernels: Theory and practice in a world of growing constraints 1-gen-2016 Oneto, Luca; Navarin, Nicolò; Donini, Michele; Aiolli, Fabio; Anguita, Davide
AN INNOVATIVE TECHNIQUE FOR THE AERODYNAMIC DESIGN OF TURBINE BLADE PROFILES USING ARTIFICIAL INTELLIGENCE 1-gen-2003 Anguita, Davide; Cravero, Carlo; C., Filz; F., Rivieccio