BACCIU, DAVIDE Statistiche
BACCIU, DAVIDE
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 causal learning framework for the analysis and interpretation of COVID-19 clinical data
2022-01-01 Ferrari, Elisa; Gargani, Luna; Barbieri, Greta; Ghiadoni, Lorenzo; Faita, Francesco; Bacciu, Davide
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 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 framework for semantic querying of distributed data-graphs via information granules
2007-01-01 Bacciu, Davide; Botta, A; Stefanescu, D.
A Fuzzy Approach for Negotiating Quality of Services
2007-01-01 Bacciu, Davide; Alessio, Botta; Hernan, Melgratti
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 Non-negative Factorization Approach to Node Pooling in Graph Convolutional Neural Networks
2019-01-01 Bacciu, D.; Di Sotto, L.
A Perceptual Learning Model to Discover the Hierarchical Latent Structure of Image Collections
2008-01-01 Bacciu, Davide
A reservoir activation kernel for trees
2016-01-01 Bacciu, Davide; Gallicchio, Claudio; Micheli, Alessio
A RLWPR network for learning the internal model of an anthropomorphic robot arm
2004-01-01 Bacciu, Davide; L., Zollo; E., Guglielmelli; F., Leoni; Starita, Antonina
A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number
2007-01-01 Bacciu, Davide; Starita, Antonina
A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques
2022-01-01 Atzeni, D.; Bacciu, D.; Mazzei, D.; Prencipe, G.
| 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 causal learning framework for the analysis and interpretation of COVID-19 clinical data | 1-gen-2022 | Ferrari, Elisa; Gargani, Luna; Barbieri, Greta; Ghiadoni, Lorenzo; Faita, Francesco; Bacciu, Davide | |
| 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 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 framework for semantic querying of distributed data-graphs via information granules | 1-gen-2007 | Bacciu, Davide; Botta, A; Stefanescu, D. | |
| A Fuzzy Approach for Negotiating Quality of Services | 1-gen-2007 | Bacciu, Davide; Alessio, Botta; Hernan, Melgratti | |
| 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 Non-negative Factorization Approach to Node Pooling in Graph Convolutional Neural Networks | 1-gen-2019 | Bacciu, D.; Di Sotto, L. | |
| A Perceptual Learning Model to Discover the Hierarchical Latent Structure of Image Collections | 1-gen-2008 | Bacciu, Davide | |
| A reservoir activation kernel for trees | 1-gen-2016 | Bacciu, Davide; Gallicchio, Claudio; Micheli, Alessio | |
| A RLWPR network for learning the internal model of an anthropomorphic robot arm | 1-gen-2004 | Bacciu, Davide; L., Zollo; E., Guglielmelli; F., Leoni; Starita, Antonina | |
| A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number | 1-gen-2007 | Bacciu, Davide; Starita, Antonina | |
| A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques | 1-gen-2022 | Atzeni, D.; Bacciu, D.; Mazzei, D.; Prencipe, G. |