Publications

84 entries « 1 of 2 »

2019

Cosimo, Della Santina; Visar, Arapi; Giuseppe, Averta; Francesca, Damiani; Gaia, Fiore; Alessandro, Settimi; Giuseppe, Catalano Manuel; Davide, Bacciu; Antonio, Bicchi; Matteo, Bianchi

Learning from humans how to grasp: a data-driven architecture for autonomous grasping with anthropomorphic soft hands Journal Article Forthcoming

IEEE Robotics and Automation Letters, Forthcoming.

BibTeX | Tags: convolutional neural network, deep learning, image understanding, machine vision, recurrent neural network, robotics

Davide, Bacciu; Antonio, Bruno

Deep Tree Transductions - A Short Survey Conference Forthcoming

Proceedings of the 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) , Forthcoming.

Abstract | BibTeX | Tags: deep learning, recurrent neural network, structured data processing, tree structured data

2018

Davide, Bacciu; Daniele, Castellana

Bayesian Mixtures of Hidden Tree Markov Models for Structured Data Clustering Journal Article Forthcoming

Neurocomputing (Accepted), Forthcoming.

BibTeX | Tags: graphical models, hidden tree Markov model, structured data processing, tree structured data, unsupervised learning

Arapi, Visar; Santina, Cosimo Della; Bacciu, Davide; Bianchi, Matteo; Bicchi, Antonio

DeepDynamicHand: A deep neural architecture for labeling hand manipulation strategies in video sources exploiting temporal information Journal Article

Frontiers in Neurorobotics, 12 , pp. 86, 2018.

Abstract | Links | BibTeX | Tags: convolutional neural network, deep learning, image understanding, machine vision, recurrent neural network, robotics

Davide, Bacciu; Antonio, Bruno

Text Summarization as Tree Transduction by Top-Down TreeLSTM Conference Forthcoming

Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI'18), IEEE, Forthcoming.

Abstract | Links | BibTeX | Tags: deep learning, deep learning for graphs, neural networks, structured data processing, tree structured data, tree transductions

Davide, Bacciu; Antonio, Carta; Alessandro, Sperduti

Linear Memory Networks Unpublished

2018.

Abstract | Links | BibTeX | Tags: deep learning, recurrent neural network

Marco, Podda; Davide, Bacciu; Alessio, Micheli; Roberto, Bellu; Giulia, Placidi; Luigi, Gagliardi

A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor Journal Article

Nature Scientific Reports, 8 , 2018.

Abstract | Links | BibTeX | Tags: bioinformatics, biomedical data, neural networks, support vector machine

Davide, Bacciu; Daniele, Castellana

Learning Tree Distributions by Hidden Markov Models Workshop

Proceedings of the FLOC 2018 Workshop on Learning and Automata (LearnAut'18), 2018.

Links | BibTeX | Tags: graphical models, hidden tree Markov model, structured data processing, tree structured data

Davide, Bacciu; Michele, Colombo; Davide, Morelli; David, Plans

Randomized neural networks for preference learning with physiological data Journal Article

Neurocomputing, 298 , pp. 9-20, 2018.

Abstract | Links | BibTeX | Tags: activity recognition, biomedical data, Echo state networks, preference learning, randomized networks, reservoir computing

Davide, Bacciu; Federico, Errica; Alessio, Micheli

Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing Conference

Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018.

Links | BibTeX | Tags: deep learning, deep learning for graphs, graph data, hidden tree Markov model, structured data processing

Davide, Bacciu; Andrea, Bongiorno

Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs Conference

Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN 2018) , IEEE, 2018.

Links | BibTeX | Tags: deep learning, Echo state networks, reservoir computing

Davide, Bacciu; Daniele, Castellana

Mixture of Hidden Markov Models as Tree Encoder Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'18), i6doc.com, Louvain-la-Neuve, Belgium, 2018, ISBN: 978-287587047-6.

Abstract | BibTeX | Tags: graphical models, hidden tree Markov model, structured data processing, tree structured data, unsupervised learning

Davide, Bacciu; JG, Lisboa Paulo; D, Martin Jose; Ruxandra, Stoean; Alfredo, Vellido

Bioinformatics and medicine in the era of deep learning Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'18), i6doc.com, Louvain-la-Neuve, Belgium, 2018, ISBN: 978-287587047-6.

Abstract | Links | BibTeX | Tags: bioinformatics, biomedical data, deep learning

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Generative Kernels for Tree-Structured Data Journal Article

Neural Networks and Learning Systems, IEEE Transactions on, 2018, ISSN: 2162-2388 .

Abstract | Links | BibTeX | Tags: hidden tree Markov model, kernel methods, structured data processing, tree kernel, tree structured data

2017

Davide, Bacciu

Hidden Tree Markov Networks: Deep and Wide Learning for Structured Data Conference

Proc. of the 2017 IEEE Symposium Series on Computational Intelligence (SSCI'17), IEEE, 2017.

Links | BibTeX | Tags: deep learning, hidden tree Markov model, structured data processing

Davide, Bacciu; Stefano, Chessa; Claudio, Gallicchio; Alessio, Micheli

On the Need of Machine Learning as a Service for the Internet of Things Conference

To appear in the Proc. of the International Conference on Internet of Things and Machine Learning (IML 2017), International Conference Proceedings Series (ICPS) ACM, 2017, ISBN: 978-1-4503-5243-7.

BibTeX | Tags: internet of things, pervasive computing, reservoir computing

Davide, Bacciu; Stefano, Chessa; Claudio, Gallicchio; Alessio, Micheli; Luca, Pedrelli; Erina, Ferro; Luigi, Fortunati; Davide, La Rosa; Filippo, Palumbo; Federico, Vozzi; Oberdan, Parodi

A Learning System for Automatic Berg Balance Scale Score Estimation Journal Article

Engineering Applications of Artificial Intelligence journal, 66 , pp. 60-74, 2017.

Abstract | Links | BibTeX | Tags: ambient assisted living, Echo state networks, multivariate time-series, reservoir computing

Ovidiu, Vermesan; Arne, Broring; Elias, Tragos; Martin, Serrano; Davide, Bacciu; Stefano, Chessa; Claudio, Gallicchio; Alessio, Micheli; Mauro, Dragone; Alessandro, Saffiotti; Pieter, Simoens; Filippo, Cavallo; Roy, Bahr

Internet of Robotic Things - Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms Book Chapter

Vermesan, Ovidiu; Bacquet, Joel (Ed.): Cognitive Hyperconnected Digital Transformation: Internet of Things Intelligence Evolution, Chapter 4, pp. 97-155, River Publishers, 2017, ISBN: 9788793609105.

Links | BibTeX | Tags: internet of things, pervasive computing, reservoir computing |

Filippo, Palumbo; Davide, La Rosa; Erina, Ferro; Davide, Bacciu; Claudio, Gallicchio; Alession, Micheli; Stefano, Chessa; Federico, Vozzi; Oberdan, Parodi

Reliability and human factors in Ambient Assisted Living environments: The DOREMI case study Journal Article

Journal of Reliable Intelligent Environments, 3 (3), pp. 139–157, 2017, ISBN: 2199-4668.

Abstract | Links | BibTeX | Tags: activity recognition, ambient assisted living, biomedical data, pervasive computing, reservoir computing

Davide, Bacciu; Francesco, Crecchi; Davide, Morelli

DropIn: Making Neural Networks Robust to Missing Inputs by Dropout Conference

Proceedings of the 2017 International Joint Conference on Neural Networks (IJCNN 2017) , IEEE, 2017, ISBN: 978-1-5090-6182-2.

Abstract | Links | BibTeX | Tags: ambient assisted living, deep learning, Echo state networks, recurrent neural network, reservoir computing

Davide, Bacciu; Michele, Colombo; Davide, Morelli; David, Plans

ELM Preference Learning for Physiological Data Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'17), i6doc.com, Louvain-la-Neuve, Belgium, 2017, ISBN: 978-2-875870384.

BibTeX | Tags: activity recognition, biomedical data, preference learning, randomized networks

Davide, Bacciu; Antonio, Carta; Stefania, Gnesi; Laura, Semini

An Experience in using Machine Learning for Short-term Predictions in Smart Transportation Systems Journal Article

Journal of Logical and Algebraic Methods in Programming , 87 , pp. 52-66, 2017, ISSN: 2352-2208.

Abstract | Links | BibTeX | Tags: big data, bike sharing system, kernel methods, software engineering, support vector machine

2016

Davide, Bacciu; Stefano, Chessa; Erina, Ferro; Luigi, Fortunati; Claudio, Gallicchio; Davide, La Rosa; Miguel, Llorente; Alessio, Micheli; Filippo, Palumbo; Oberdan, Parodi; Andrea, Valenti; Federico, Vozzi

Detecting socialization events in ageing people: the experienze of the DOREMI project Conference

Proceedings of the IEEE 12th International Conference on Intelligent Environments (IE 2016), , IEEE, UK, London, 2016, ISSN: 2472-7571 .

Abstract | Links | BibTeX | Tags: activity recognition, ambient assisted living, pervasive computing, wireless sensor networks

Davide, Bacciu

Unsupervised feature selection for sensor time-series in pervasive computing applications Journal Article

Neural Computing and Applications, 27 (5), pp. 1077-1091, 2016, ISSN: 1433-3058.

Abstract | Links | BibTeX | Tags: ambient assisted living, Echo state networks, feature selection, multivariate time-series, pervasive computing, structured data processing, wireless sensor networks

Davide, Bacciu; Vincenzo, Gervasi; Giuseppe, Prencipe

An Investigation into Cybernetic Humor, or: Can Machines Laugh? Conference

Proceedings of the 8th International Conference on Fun with Algorithms (FUN'16) , 49 , Leibniz International Proceedings in Informatics (LIPIcs) Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2016, ISSN: 1868-8969.

Abstract | Links | BibTeX | Tags: deep learning, natural language, recurrent neural network, structured data processing

Giuseppe, Amato; Davide, Bacciu; Stefano, Chessa; Mauro, Dragone; Claudio, Gallicchio; Claudio, Gennaro; Hector, Lozano; Alessio, Micheli; Arantxa, Renteria; Claudio, Vairo

A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living Conference

Proceedings of the 7th International Conference on Ambient Intelligence (ISAMI'16), 476 , Advances in Intelligent Systems and Computing Springer, 2016, ISBN: 978-3-319-40113-3.

Abstract | Links | BibTeX | Tags: activity recognition, ambient assisted living, cognitive robotics, Echo state networks, multivariate time-series, robotic ecology, structured data processing, wireless sensor networks

Davide, Bacciu; Claudio, Gallicchio; Alessio, Micheli

A reservoir activation kernel for trees Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'16), i6doc.com, 2016, ISBN: 978-287587027-.

Links | BibTeX | Tags: Echo state networks, kernel methods, reservoir computing, structured data processing, tree kernel, tree structured data

Davide, Bacciu; Antonio, Carta; Stefania, Gnesi; Laura, Semini

Adopting a Machine Learning Approach in the Design of Smart Transportation Systems Online

van der Me, Rob; Shashaj, Ariona (Ed.): ERCIM News Magazine 2016.

Links | BibTeX | Tags: big data, bike sharing system, kernel methods, software engineering, support vector machine

2015

Oberdan, Parodi; Federico, Vozzi; Erina, Ferro; Luigi, Fortunati; Alessio, Micheli; Claudio, Gallicchio; Davide, Bacciu; Stefano, Chessa; Antonio, Ascolese

Preventing cognitive decline, sedentariness and malnutrition: the DOREMI approach Presentation

29.10.2015, (Palermo, October 29-30, 2015).

BibTeX | Tags: activity recognition, ambient assisted living

Giuseppe, Amato; Davide, Bacciu; Mathias, Broxvall; Stefano, Chessa; Sonya, Coleman; Maurizio, Di Rocco; Mauro, Dragone; Claudio, Gallicchio; Claudio, Gennaro; Hector, Lozano; Martin, McGinnity T; Alessio, Micheli; AK, Ray; Arantxa, Renteria; Alessandro, Saffiotti; David, Swords; Claudio, Vairo; Philip, Vance

Robotic Ubiquitous Cognitive Ecology for Smart Homes Journal Article

Journal of Intelligent & Robotic Systems, 80 (1), pp. 57-81, 2015, ISSN: 0921-0296.

Abstract | Links | BibTeX | Tags: activity recognition, ambient assisted living, cognitive robotics, Echo state networks, multivariate time-series, networked robotics, pervasive computing, planning, reservoir computing, robotic ecology, structured data processing, wireless sensor networks

Mauro, Dragone; Giuseppe, Amato; Davide, Bacciu; Stefano, Chessa; Sonya, Coleman; Maurizio, Di Rocco; Claudio, Gallicchio; Claudio, Gennaro; Hector, Lozano; Liam, Maguire; Martin, McGinnity; Alessio, Micheli; M.P., O'Hare Gregory; Arantxa, Renteria; Alessandro, Saffiotti; Claudio, Vairo; Philip, Vance

A Cognitive Robotic Ecology Approach to Self-configuring and Evolving AAL Systems Journal Article

Engineering Applications of Artificial Intelligence, 45 (C), pp. 269–280, 2015, ISSN: 0952-1976.

Links | BibTeX | Tags: ambient assisted living, cognitive robotics, Echo state networks, multivariate time-series, pervasive computing, planning, reservoir computing, robotic ecology, wireless sensor networks

Davide, Bacciu; J.G., Lisboa Paulo; Alessandro, Sperduti; Thomas, Villmann

Probabilistic Modeling in Machine Learning Incollection

Kacprzyk, Janusz ; Pedrycz, Witold (Ed.): pp. 545–575, Springer Berlin Heidelberg, Berlin, Heidelberg, 2015, ISBN: 978-3-662-43505-2.

Links | BibTeX | Tags: Bayesian networks, generative model, graphical models, hidden Markov models

Davide, Bacciu; Stefano, Chessa; Claudio, Gallicchio; Alessio, Micheli; Erina, Ferro; Luigi, Fortunati; Filippo, Palumbo; Oberdan, Parodi; Federico, Vozzi; Sten, Hanke; Johannes, Kropf; Karl, Kreiner

Smart environments and context-awareness for lifestyle management in a healthy active ageing framework Conference

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9273 , Springer Verlag, 2015.

Links | BibTeX | Tags: activity recognition, ambient assisted living, biomedical data, multivariate time-series, pervasive computing, wireless sensor networks

Davide, Bacciu; Filippo, Benedetti; Alessio, Micheli

ESNigma: efficient feature selection for Echo State Networks Conference

Proceedings of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'15), i6doc.com publ., 2015.

Abstract | Links | BibTeX | Tags: Echo state networks, feature selection, multivariate time-series, pervasive computing, reservoir computing, structured data processing, wireless sensor networks

Davide, Bacciu; Stefania, Gnesi; Laura, Semini

Using a Machine Learning Approach to Implement and Evaluate Product Line Features Conference

Proceedings 11th International Workshop on Automated Specification and Verification of Web Systems, WWV 2015, 188 , Electronic Proceedings in Theoretical Computer Science (EPTCS) 2015.

Abstract | Links | BibTeX | Tags: big data, bike sharing system, kernel methods, software engineering, support vector machine

2014

Davide, Bacciu; Paolo, Barsocchi; Stefano, Chessa; Claudio, Gallicchio; Alessio, Micheli

An experimental characterization of reservoir computing in ambient assisted living applications Journal Article

Neural Computing and Applications, 24 (6), pp. 1451-1464, 2014, ISSN: 0941-0643.

Abstract | Links | BibTeX | Tags: ambient assisted living, Echo state networks, indoor user movement forecasting, reservoir computing, wireless sensor networks

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Modeling Bi-directional Tree Contexts by Generative Transductions Conference

Neural Information Processing, 8834 , Springer International Publishing, 2014.

Abstract | Links | BibTeX | Tags: generative model, graphical models, hidden tree Markov model, kernel methods, tree kernel, tree structured data

Davide, Bacciu; Claudio, Gallicchio; Alessio, Micheli; Maurizio, Di Rocco; Alessandro, Saffiotti

Learning context-aware mobile robot navigation in home environments Conference

Proceedings of the 5th International Conference on Information, Intelligence, Systems and Applications (IISA 2014), IEEE, 2014, ISBN: 9781479961702.

Abstract | Links | BibTeX | Tags: ambient assisted living, Echo state networks, feature selection, multivariate time-series, pervasive computing, planning, recurrent neural network, reservoir computing, robotic ecology, wireless sensor networks

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Integrating bi-directional contexts in a generative kernel for trees Conference

Neural Networks (IJCNN), 2014 International Joint Conference on, IEEE, 2014.

Links | BibTeX | Tags: generative model, graphical models, hidden tree Markov model, kernel methods, structured data processing, tree kernel, tree structured data, tree transductions

Davide, Bacciu

An Iterative Feature Filter for Sensor Timeseries in Pervasive Computing Applications Conference

Communications in Computer and Information ScienceEngineering Applications of Neural Networks, 459 , Springer International Publishing, 2014.

Abstract | Links | BibTeX | Tags: ambient assisted living, feature selection, multivariate time-series, pervasive computing, structured data processing, unsupervised learning, wireless sensor networks

2013

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Compositional Generative Mapping for Tree-Structured Data - Part II: Topographic Projection Model Journal Article

Neural Networks and Learning Systems, IEEE Transactions on, 24 (2), pp. 231 -247, 2013, ISSN: 2162-237X.

Links | BibTeX | Tags: generative topographic mapping, hidden Markov models, hidden tree Markov model, self-organizing map, tree structured data

Davide, Bacciu; A, Etchells Terence; JG, Lisboa Paulo; Joe, Whittaker

Efficient identification of independence networks using mutual information Journal Article

Computational Statistics, 28 (2), pp. 621-646, 2013, ISSN: 0943-4062.

Links | BibTeX | Tags: Bayesian networks, graphical models, mutual information, PC algorithm

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

An input–output hidden Markov model for tree transductions Journal Article

Neurocomputing, 112 , pp. 34–46, 2013, ISSN: 0925-2312.

Links | BibTeX | Tags: hidden Markov models, hidden tree Markov model, structured data processing, tree transductions

Nicola, Di Mauro; Paolo, Frasconi; Fabrizio, Angiulli; Davide, Bacciu; de Marco, Gemmis; Floriana, Esposito; Nicola, Fanizzi; Stefano, Ferilli; Marco, Gori; A, Lisi Francesca; others,

Italian Machine Learning and Data Mining research: The last years Journal Article

Intelligenza Artificiale, 7 (2), pp. 77–89, 2013.

Links | BibTeX | Tags: graphical models, recurrent neural network, structured data processing

Davide, Bacciu; Claudio, Gallicchio; Alessandro, Lenzi; Stefano, Chessa; Alessio, Micheli; Susanna, Pelagatti; Claudio, Vairo

Distributed Neural Computation over WSN in Ambient Intelligence Conference

Advances in Intelligent Systems and Computing - Ambient Intelligence - Software and Applications, 219 , Springer Verlag, 2013.

Links | BibTeX | Tags: ambient assisted living, Echo state networks, multivariate time-series, pervasive computing, reservoir computing, wireless sensor networks

Davide, Bacciu; Stefano, CHESSA; Claudio, Gallicchio; Alessio, MICHELI; Paolo, Barsocchi

An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living Conference

Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 19 , Springer, 2013.

Links | BibTeX | Tags: Echo state networks, indoor user movement forecasting, pervasive computing, recurrent neural network, reservoir computing, structured data processing, wireless sensor networks

2012

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Compositional Generative Mapping for Tree-Structured Data; Part I: Bottom-Up Probabilistic Modeling of Trees Journal Article

Neural Networks and Learning Systems, IEEE Transactions on, 23 (12), pp. 1987 -2002, 2012, ISSN: 2162-237X.

Links | BibTeX | Tags: hidden Markov models, hidden tree Markov model, tree structured data

Davide, Bacciu; Stefano, Chessa; Claudio, Gallicchio; Alessandro, Lenzi; Alessio, Micheli; Susanna, Pelagatti

A General Purpose Distributed Learning Model for Robotic Ecologies Conference

Robot Control - 10th IFAC Symposium on Robot Control, 10 , ELSEVIER SCIENCE BV, 2012.

Abstract | Links | BibTeX | Tags: distributed learning, multivariate time-series, pervasive computing, recurrent neural network, reservoir computing, robotic ecology, wireless sensor networks

G, Lisboa Paulo J; H, Jarman Ian; A, Etchells Terence; J, Chambers Simon; Davide, Bacciu; Joe, Whittaker; M, Garibaldi Jon; Sandra, Ortega-Martorell; Alfredo, Vellido; O, Ellis Ian

Discovering Hidden Pathways in Bioinformatics Conference

Lecture Notes in Computer ScienceComputational Intelligence Methods for Bioinformatics and Biostatistics, 7548 , 2012.

Abstract | Links | BibTeX | Tags: Bayesian networks, biomedical data, graphical models, mutual information, PC algorithm

Same, Abdel-Naby; Giuseppe, Amato; Davide, Bacciu; Mathias, Broxvall; Stefano, Chessa; Sonya, Coleman; Maurizio, Di Rocco; Mauro, Dragone; Claudio, Gallicchio; Claudio, Gennaro; Roberto, Guzman; Raul, Lopez; Hector, Lozano; Liam, Maguire; Martin, McGinnity T; Alessio, Micheli; MP, O'Hare Greg; Federico, Pecora; AK, Ray; Arantxa, Renteria; Alessandro, Saffiotti; David, Swords; Claudio, Vairo

Robotic UBIquitous COgnitive Networks Presentation

01.01.2012.

BibTeX | Tags: cognitive robotics, pervasive computing, planning, robotic ecology

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