MICHELI, ALESSIO Statistiche
MICHELI, ALESSIO
DIPARTIMENTO DI INFORMATICA
A benchmark dataset for human activity recognition and ambient assisted living
2016-01-01 Amato, Giuseppe; Bacciu, Davide; Chessa, Stefano; Dragone, Mauro; Gallicchio, Claudio; Gennaro, Claudio; Lozano, Hector; Micheli, Alessio; O’Hare, Gregory M. P.; Renteria, Arantxa; Vairo, Claudio
A Bottom-up Hidden Tree Markov Model
2010-01-01 Bacciu, Davide; Micheli, Alessio; A., Sperduti
A cognitive robotic ecology approach to self-configuring and evolving AAL systems
2015-01-01 Dragone, M.; Amato, G.; Bacciu, Davide; Chessa, Stefano; Coleman, S.; Di Rocco, M.; Gallicchio, Claudio; Gennaro, C.; Lozano, H.; Maguire, L.; Mcginnity, M.; Micheli, Alessio; O׳hare, G. M. P.; Renteria, A.; Saffiotti, A.; Vairo, CLAUDIO FRANCESCO; Vance, P.
A Comparative Analysis of SVM and IDNN for Identifying Penguin Activities
2017-01-01 Chessa, Stefano; Micheli, Alessio; Pucci, Rita; Hunter, Jane; Carroll, Gemma; Harcourt, Rob
A Comparative Study of Tree Generative Kernels for Gene Function Prediction
2007-01-01 L., Nicotra; Micheli, Alessio; A., Starita
A computational intelligence method applied to the prediction of polymer glass transition temperatures
2005-01-01 Duce, Celia; Solaro, Roberto; Tine', MARIA ROSARIA; Micheli, Alessio; Starita, Antonina
A Deep Generative Model for Fragment-Based Molecule Generation
2020-01-01 Podda, M; Bacciu, D; Micheli, A
A Deep Graph Network–Enhanced Sampling Approach to Efficiently Explore the Space of Reduced Representations of Proteins
2021-01-01 Errica, F.; Giulini, M.; Bacciu, D.; Menichetti, R.; Micheli, A.; Potestio, R.
A Fair Comparison of Graph Neural Networks for Graph Classification
2020-01-01 Errica, Federico; Podda, Marco; Bacciu, Davide; Micheli, Alessio
A General Framework for Unsupervised Processing of Structured Data
2002-01-01 B., Hammer; Micheli, Alessio; A., Sperduti
A General Framework for Unsupervised Processing of Structured Data
2004-01-01 B., Hammer; Micheli, Alessio; A., Sperduti; M., Strickert
A General Purpose Distributed Learning Model for Robotic Ecologies
2012-01-01 Bacciu, Davide; Chessa, Stefano; Gallicchio, Claudio; A., Lenzi; Micheli, Alessio; Pelagatti, Susanna
A Generative Multiset Kernel for Structured Data
2012-01-01 Bacciu, Davide; Micheli, Alessio; Sperduti, A.
A gentle introduction to deep learning for graphs
2020-01-01 Bacciu, D.; Errica, F.; Micheli, A.; Podda, M.
A learning system for automatic Berg Balance Scale score estimation
2017-01-01 Bacciu, Davide; Chessa, Stefano; Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca; Ferro, Erina; Fortunati, Luigi; La Rosa, Davide; Palumbo, Filippo; Vozzi, Federico; Parodi, Oberdan
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor
2018-01-01 Podda, Marco; Bacciu, Davide; Micheli, Alessio; Bellù, Roberto; Placidi, Giulia; Gagliardi, Luigi
A Markovian Characterization of Redundancy in Echo State Networks by PCA
2010-01-01 Gallicchio, Claudio; Micheli, Alessio
A New Neural Network Model for Contextual Processing of Graphs
2006-01-01 Micheli, Alessio; A. S., Sestito
A Novel Approach to QSPR/QSAR Based on Neural Networks for Structures
2003-01-01 Bianucci, ANNA MARIA PAOLA; Micheli, Alessio; Sperduti, A; Starita, Antonina
A Preliminary Application of Echo State Networks to Emotion Recognition
2014-01-01 Gallicchio, Claudio; Micheli, Alessio
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A benchmark dataset for human activity recognition and ambient assisted living | 1-gen-2016 | Amato, Giuseppe; Bacciu, Davide; Chessa, Stefano; Dragone, Mauro; Gallicchio, Claudio; Gennaro, Claudio; Lozano, Hector; Micheli, Alessio; O’Hare, Gregory M. P.; Renteria, Arantxa; Vairo, Claudio | |
A Bottom-up Hidden Tree Markov Model | 1-gen-2010 | Bacciu, Davide; Micheli, Alessio; A., Sperduti | |
A cognitive robotic ecology approach to self-configuring and evolving AAL systems | 1-gen-2015 | Dragone, M.; Amato, G.; Bacciu, Davide; Chessa, Stefano; Coleman, S.; Di Rocco, M.; Gallicchio, Claudio; Gennaro, C.; Lozano, H.; Maguire, L.; Mcginnity, M.; Micheli, Alessio; O׳hare, G. M. P.; Renteria, A.; Saffiotti, A.; Vairo, CLAUDIO FRANCESCO; Vance, P. | |
A Comparative Analysis of SVM and IDNN for Identifying Penguin Activities | 1-gen-2017 | Chessa, Stefano; Micheli, Alessio; Pucci, Rita; Hunter, Jane; Carroll, Gemma; Harcourt, Rob | |
A Comparative Study of Tree Generative Kernels for Gene Function Prediction | 1-gen-2007 | L., Nicotra; Micheli, Alessio; A., Starita | |
A computational intelligence method applied to the prediction of polymer glass transition temperatures | 1-gen-2005 | Duce, Celia; Solaro, Roberto; Tine', MARIA ROSARIA; Micheli, Alessio; Starita, Antonina | |
A Deep Generative Model for Fragment-Based Molecule Generation | 1-gen-2020 | Podda, M; Bacciu, D; Micheli, A | |
A Deep Graph Network–Enhanced Sampling Approach to Efficiently Explore the Space of Reduced Representations of Proteins | 1-gen-2021 | Errica, F.; Giulini, M.; Bacciu, D.; Menichetti, R.; Micheli, A.; Potestio, R. | |
A Fair Comparison of Graph Neural Networks for Graph Classification | 1-gen-2020 | Errica, Federico; Podda, Marco; Bacciu, Davide; Micheli, Alessio | |
A General Framework for Unsupervised Processing of Structured Data | 1-gen-2002 | B., Hammer; Micheli, Alessio; A., Sperduti | |
A General Framework for Unsupervised Processing of Structured Data | 1-gen-2004 | B., Hammer; Micheli, Alessio; A., Sperduti; M., Strickert | |
A General Purpose Distributed Learning Model for Robotic Ecologies | 1-gen-2012 | Bacciu, Davide; Chessa, Stefano; Gallicchio, Claudio; A., Lenzi; Micheli, Alessio; Pelagatti, Susanna | |
A Generative Multiset Kernel for Structured Data | 1-gen-2012 | Bacciu, Davide; Micheli, Alessio; Sperduti, A. | |
A gentle introduction to deep learning for graphs | 1-gen-2020 | Bacciu, D.; Errica, F.; Micheli, A.; Podda, M. | |
A learning system for automatic Berg Balance Scale score estimation | 1-gen-2017 | Bacciu, Davide; Chessa, Stefano; Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca; Ferro, Erina; Fortunati, Luigi; La Rosa, Davide; Palumbo, Filippo; Vozzi, Federico; Parodi, Oberdan | |
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor | 1-gen-2018 | Podda, Marco; Bacciu, Davide; Micheli, Alessio; Bellù, Roberto; Placidi, Giulia; Gagliardi, Luigi | |
A Markovian Characterization of Redundancy in Echo State Networks by PCA | 1-gen-2010 | Gallicchio, Claudio; Micheli, Alessio | |
A New Neural Network Model for Contextual Processing of Graphs | 1-gen-2006 | Micheli, Alessio; A. S., Sestito | |
A Novel Approach to QSPR/QSAR Based on Neural Networks for Structures | 1-gen-2003 | Bianucci, ANNA MARIA PAOLA; Micheli, Alessio; Sperduti, A; Starita, Antonina | |
A Preliminary Application of Echo State Networks to Emotion Recognition | 1-gen-2014 | Gallicchio, Claudio; Micheli, Alessio |