Davide Bacciu

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Medförfattare

Alessio MicheliDepartment of Computer Science, University of PisaVerifierad e-postadress på di.unipi.it
Claudio GallicchioAssistant Professor at the Department of Computer Science, University of PisaVerifierad e-postadress på di.unipi.it
Stefano ChessaFull Professor, Department of Computer Science, University of PisaVerifierad e-postadress på di.unipi.it
Alessandro SperdutiUniversity of PadovaVerifierad e-postadress på math.unipd.it
Mauro DragoneAssistant Professor, Heriot-Watt University, Edinburgh, Scotland, UKVerifierad e-postadress på hw.ac.uk
Alessandro SaffiottiProfessor of Computer Science, University or Örebro, SwedenVerifierad e-postadress på aass.oru.se
Marco PoddaPhD Student, University of PisaVerifierad e-postadress på di.unipi.it
Federico ErricaPhD Student, University of PisaVerifierad e-postadress på phd.unipi.it
Claudio VairoISTI-CNRVerifierad e-postadress på isti.cnr.it
Maurizio Di RoccoPostdoc Örebro University, AASS centerVerifierad e-postadress på aass.oru.se
Claudio GennaroISTI-CNR, PisaVerifierad e-postadress på isti.cnr.it
Antonio CartaPhd student @ Università di PisaVerifierad e-postadress på di.unipi.it
Giuseppe AmatoSenior Researcher - ISTI - Consiglio Nazionale delle RicercheVerifierad e-postadress på isti.cnr.it
Sonya ColemanUniversity of UlsterVerifierad e-postadress på ulster.ac.uk
Paolo BarsocchiISTI - CNRVerifierad e-postadress på isti.cnr.it
Federico VozziInstitute of Clinical Physiology - CNRVerifierad e-postadress på ifc.cnr.it
Filippo PalumboInformation Science and Technologies Institute ISTI - CNRVerifierad e-postadress på isti.cnr.it
Ferro E.Consiglio naziomale delle ricercheVerifierad e-postadress på isti.cnr.it
Anjan Kumar RayNational Institute of Technology SikkimVerifierad e-postadress på nitsikkim.ac.in
Daniele CastellanaPhD student at University di PisaVerifierad e-postadress på di.unipi.it

Davide Bacciu

Dipartimento di Informatica, Università di Pisa

Verifierad e-postadress på di.unipi.it - Startsida

Machine Learning Neural Networks Deep Learning Generative Models Learning for Graphs


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
An experimental characterization of reservoir computing in ambient assisted living applications D Bacciu, P Barsocchi, S Chessa, C Gallicchio, A Micheli Neural Computing and Applications 24 (6), 1451-1464, 2014	93	2014
A fair comparison of graph neural networks for graph classification F Errica, M Podda, D Bacciu, A Micheli arXiv preprint arXiv:1912.09893, 2019	55	2019
Internet of robotic things: converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms O Vermesan, A Bröring, E Tragos, M Serrano, D Bacciu, S Chessa, ... River Publishers, 2017	54	2017
Robotic ubiquitous cognitive ecology for smart homes G Amato, D Bacciu, M Broxvall, S Chessa, S Coleman, M Di Rocco, ... Journal of Intelligent & Robotic Systems 80 (1), 57-81, 2015	40	2015
Compositional Generative Mapping for Tree-Structured Data - Part I: Bottom-Up Probabilistic Modeling of Trees D Bacciu, A Micheli, A Sperduti IEEE Transactions on Neural Networks and Learning Systems 23 (12), 1987 - 2002, 2012	36	2012
A gentle introduction to deep learning for graphs D Bacciu, F Errica, A Micheli, M Podda Neural Networks, 2020	32	2020
Learning context-aware mobile robot navigation in home environments D Bacciu, C Gallicchio, A Micheli, M Di Rocco, A Saffiotti IISA 2014, The 5th International Conference on Information, Intelligence …, 2014	30	2014
Contextual graph markov model: A deep and generative approach to graph processing D Bacciu, F Errica, A Micheli International Conference on Machine Learning, 294-303, 2018	29	2018
Adaptive fuzzy-valued service selection D Bacciu, MG Buscemi, L Mkrtchyan Proceedings of the 2010 ACM symposium on applied computing, 2467-2471, 2010	27	2010
Predicting user movements in heterogeneous indoor environments by reservoir computing D Bacciu, C Gallicchio, A Micheli, S Chessa, P Barsocchi Proc. of the IJCAI Workshop on Space, Time and Ambient Intelligence (STAMI …, 2011	24	2011
Competitive repetition suppression (CoRe) clustering: A biologically inspired learning model with application to robust clustering D Bacciu, A Starita IEEE transactions on neural networks 19 (11), 1922-1941, 2008	24	2008
Efficient identification of independence networks using mutual information D Bacciu, TA Etchells, PJG Lisboa, J Whittaker Computational Statistics 28 (2), 621-646, 2013	22	2013
A cognitive robotic ecology approach to self-configuring and evolving AAL systems M Dragone, G Amato, D Bacciu, S Chessa, S Coleman, M Di Rocco, ... Engineering Applications of Artificial Intelligence 45, 269-280, 2015	20	2015
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor M Podda, D Bacciu, A Micheli, R Bellù, G Placidi, L Gagliardi Scientific reports 8 (1), 1-9, 2018	19	2018
Generative kernels for tree-structured data D Bacciu, A Micheli, A Sperduti IEEE transactions on neural networks and learning systems 29 (10), 4932-4946, 2018	19	2018
Compositional generative mapping for tree-structured data—Part II: Topographic projection model D Bacciu, A Micheli, A Sperduti IEEE transactions on neural networks and learning systems 24 (2), 231-247, 2012	19	2012
Learning from humans how to grasp: a data-driven architecture for autonomous grasping with anthropomorphic soft hands C Della Santina, V Arapi, G Averta, F Damiani, G Fiore, A Settimi, ... IEEE Robotics and Automation Letters 4 (2), 1533-1540, 2019	18	2019
A learning system for automatic Berg Balance Scale score estimation D Bacciu, S Chessa, C Gallicchio, A Micheli, L Pedrelli, E Ferro, ... Engineering Applications of Artificial Intelligence 66, 60-74, 2017	18	2017
An experience in using machine learning for short-term predictions in smart transportation systems D Bacciu, A Carta, S Gnesi, L Semini Journal of Logical and Algebraic Methods in Programming 87, 52-66, 2017	18	2017
Smart environments and context-awareness for lifestyle management in a healthy active ageing framework D Bacciu, S Chessa, C Gallicchio, A Micheli, E Ferro, L Fortunati, ... Portuguese Conference on Artificial Intelligence, 54-66, 2015	18	2015

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