MICHELI, ALESSIO Statistiche

MICHELI, ALESSIO  

DIPARTIMENTO DI INFORMATICA  

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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