Publications

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2021

Lanciano, Giacomo; Galli, Filippo; Cucinotta, Tommaso; Bacciu, Davide; Passarella, Andrea

Predictive Auto-scaling with OpenStack Monasca Conference Forthcoming

Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2021), Forthcoming.

BibTeX | Tags: cloud computing, pervasive computing, recurrent neural network, Sequential data

Cossu, Andrea; Bacciu, Davide; Carta, Antonio; Gallicchio, Claudio; Lomonaco, Vincenzo

Continual Learning with Echo State Networks Conference Forthcoming

Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021) , Forthcoming.

BibTeX | Tags: Continual learning, Echo state networks, recurrent neural network, Sequential data

Resta, Michele; Monreale, Anna; Bacciu, Davide

Occlusion-based Explanations in Deep Recurrent Models for Biomedical Signals Journal Article Forthcoming

Entropy, Forthcoming, (Special issue on Representation Learning).

Abstract | BibTeX | Tags: biomedical data, explainable AI, recurrent neural network, Sequential data

Cossu, Andrea; Carta, Antonio; Lomonaco, Vincenzo; Bacciu, Davide

Continual Learning for Recurrent Neural Networks: an Empirical Evaluation Journal Article Forthcoming

Neural Networks, Forthcoming.

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

Bacciu, Davide; Sarli, Daniele Di; Gallicchio, Claudio; Micheli, Alessio; Puccinelli, Niccolo

Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition Conference Forthcoming

Proceedings of the 16th International Work Conference on Artificial Neural Networks (IWANN 2021), Forthcoming.

BibTeX | Tags: activity recognition, Echo state networks, recurrent neural network, reservoir computing

Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide

Encoding-based Memory for Recurrent Neural Networks Journal Article

Neurocomputing, 2021.

Abstract | Links | BibTeX | Tags: autoencoder, deep learning, memory networks, recurrent neural network, Sequential data

2020

Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide

Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization Workshop

34th Conference on Neural Information Processing Systems (NeurIPS 2020), Workshop on Beyond BackPropagation: Novel Ideas for Training Neural Architectures, 2020.

Abstract | Links | BibTeX | Tags: deep learning, memory networks, recurrent neural network, Sequential data

Cossu, Andrea; Carta, Antonio; Bacciu, Davide

Continual Learning with Gated Incremental Memories for Sequential Data Processing Conference

Proceedings of the 2020 IEEE World Congress on Computational Intelligence, 2020.

Links | BibTeX | Tags: Continual learning, deep learning, recurrent neural network, Sequential data

Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide

Incremental training of a recurrent neural network exploiting a multi-scale dynamic memory Conference

Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML-PKDD 2020), Springer International Publishing, 2020.

Abstract | BibTeX | Tags: autoencoder, deep learning, memory networks, recurrent neural network

A Deep Generative Model for Fragment-Based Molecule Generation

Podda, Marco; Bacciu, Davide; Micheli, Alessio

A Deep Generative Model for Fragment-Based Molecule Generation Conference

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020) , 2020.

Abstract | Links | BibTeX | Tags: deep learning for graphs, generative model, graph data, molecule generation, recurrent neural network, structured data processing

Deep Learning for Graphs

Bacciu, Davide; Micheli, Alessio

Deep Learning for Graphs Book Chapter

Oneto, Luca; Navarin, Nicolo; Sperduti, Alessandro; Anguita, Davide (Ed.): Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019), 896 , pp. 99-127, Springer International Publishing, 2020, ISBN: 978-3-030-43883-8.

Abstract | Links | BibTeX | Tags: deep learning for graphs, generative model, graph data, molecule generation, recurrent neural network, structured data processing

2019

Sequential Sentence Embeddings for Semantic Similarity

Bacciu, Davide; Carta, Antonio

Sequential Sentence Embeddings for Semantic Similarity Conference

Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI'19), IEEE, 2019.

Abstract | Links | BibTeX | Tags: autoencoder, deep learning, memory networks, natural language, recurrent neural network

Cafagna, Michele; De Mattei, Lorenzo ; Bacciu, Davide; Nissim, Malvina

Suitable doesn’t mean attractive. Human-based evaluation of automatically generated headlines Conference

Proceedings of the 6th Italian Conference on Computational Linguistics (CLiC-it 2019), 2481 , AI*IA series CEUR, 2019.

Abstract | Links | BibTeX | Tags: natural language, recurrent neural network, text generation

Bacciu, Davide; Carta, Antonio; Sperduti, Alessandro

Linear Memory Networks Conference

Proceedings of the 28th International Conference on Artificial Neural Networks (ICANN 2019), , 11727 , Lecture Notes in Computer Science Springer-Verlag, 2019.

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

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

An Ambient Intelligence Approach for Learning in Smart Robotic Environments Journal Article

Computational Intelligence, 2019, (Early View (Online Version of Record before inclusion in an issue) ).

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

Augmenting Recurrent Neural Networks Resilience by Dropout

Bacciu, Davide; Crecchi, Francesco

Augmenting Recurrent Neural Networks Resilience by Dropout Journal Article

IEEE Transactions on Neural Networs and Learning Systems, 2019.

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

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

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

IEEE Robotics and Automation Letters, pp. 1-8, 2019, ISSN: 2377-3766, (Also accepted for presentation at ICRA 2019).

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

Deep Tree Transductions - A Short Survey

Davide, Bacciu; Antonio, Bruno

Deep Tree Transductions - A Short Survey Conference

Proceedings of the 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) , Recent Advances in Big Data and Deep Learning Springer International Publishing, 2019.

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

2018

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

2017

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

2016

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

2014

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

2013

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

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

2012

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

Davide, BACCIU; Mathias, Broxvall; Sonya, Coleman; Mauro, Dragone; Claudio, Gallicchio; Claudio, Gennaro; Roberto, Guzman; Raul, Lopez; Hector, Lozano-Peiteado; AK, Ray; Arantxa, Renteria; Alessandro, Saffiotti; Claudio, Vairo

Self-Sustaining Learning for Robotic Ecologies Conference

Proceedings of the 1st International Conference on Sensor Networks, SENSORNETS 2012, 2012.

Abstract | BibTeX | Tags: activity recognition, ambient assisted living, cognitive robotics, planning, recurrent neural network, reservoir computing, robotic ecology, wireless sensor networks

2011

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

Predicting User Movements in Heterogeneous Indoor Environments by Reservoir Computing Conference

Proceedings of the IJCAI Workshop on Space, Time and Ambient Intelligence (STAMI), 2011.

Links | BibTeX | Tags: activity recognition, ambient assisted living, Echo state networks, indoor user movement forecasting, multivariate time-series, pervasive computing, recurrent neural network, reservoir computing, structured data processing, wireless sensor networks

2007

Davide, Bacciu; Antonina, Starita

A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number Conference

2007 International Joint Conference on Neural Networks, IEEE, 2007.

Abstract | Links | BibTeX | Tags: biomedical data, clustering, competitive repetition suppression learning, recurrent neural network, statistics, unsupervised learning

2006

Davide, Bacciu; Antonina, Starita

Competitive Repetition-suppression (CoRe) Learning Conference

ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 1, Lecture Notes in Computer Science, 4131 , Springer Verlag, 2006.

Abstract | Links | BibTeX | Tags: clustering, competitive repetition suppression learning, recurrent neural network, unsupervised learning

2004

Davide, Bacciu; Loredana, Zollo; Eugenio, Guglielmelli; Fabio, Leoni; Antonina, Starita

A RLWPR network for learning the internal model of an anthropomorphic robot arm Conference

Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1 , IEEE, 2004.

Abstract | Links | BibTeX | Tags: recurrent neural network

2003

Davide, Bacciu

Neural Architectures for Learning the Internal Model of an Anthropomorphic Robot Arm Masters Thesis

M.Sc. Thesis in Computer Science, Universita' di Pisa, 2003, (In Italian).

BibTeX | Tags: cognitive robotics, recurrent neural network