Davide Bacciu

发表

An experimental characterization of reservoir computing in ambient assisted living applications

Davide Bacciu, Paolo Barsocchi, Claudio Gallicchio, 2013, Neural Computing and Applications.

A Fair Comparison of Graph Neural Networks for Graph Classification pdf

Davide Bacciu, Alessio Micheli, Federico Errica, 2020, ICLR.

ELM Preference Learning for Physiological Data

Davide Morelli, Davide Bacciu, Michele Colombo, 2017, ESANN.

Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics

Paulo J. G. Lisboa, Davide Bacciu, Antonina Starita, 2008, KES.

ELM Preference Learning for Physiological Data. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. (ESANN'17)

Davide Morelli, Davide Bacciu, Michele Colombo, 2017 .

An Iterative Feature Filter for Sensor Timeseries in Pervasive Computing Applications

Davide Bacciu, 2014, EANN.

Input-Output Hidden Markov Models for trees

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2012, ESANN.

A cognitive robotic ecology approach to self-configuring and evolving AAL systems

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2015, Eng. Appl. Artif. Intell..

A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2016, ISAmI.

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

Davide Bacciu, Antonina Starita, A. Starita, 2007, 2007 International Joint Conference on Neural Networks.

Text Summarization as Tree Transduction by Top-Down TreeLSTM

Davide Bacciu, Antonio Bruno, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Learning From Humans How to Grasp: A Data-Driven Architecture for Autonomous Grasping With Anthropomorphic Soft Hands

Giuseppe Averta, Manuel G. Catalano, Matteo Bianchi, 2019, IEEE Robotics and Automation Letters.

Modeling Bi-directional Tree Contexts by Generative Transductions

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2014, ICONIP.

Predicting User Movements in Heterogeneous Indoor Environments by Reservoir Computing

Stefano Chessa, Davide Bacciu, Paolo Barsocchi, 2011, IJCAI 2011.

A Gentle Introduction to Deep Learning for Graphs

Davide Bacciu, Alessio Micheli, Federico Errica, 2019, Neural Networks.

Bayesian mixtures of Hidden Tree Markov Models for structured data clustering

Davide Bacciu, Daniele Castellana, D. Bacciu, 2019, Neurocomputing.

Deep Tree Transductions - A Short Survey pdf

Davide Bacciu, Antonio Bruno, 2019, INNSBDDL.

Continual Learning with Gated Incremental Memories for sequential data processing

Davide Bacciu, Andrea Cossu, Antonio Carta, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Competitive Repetition Suppression (CoRe) Clustering: A Biologically Inspired Learning Model With Application to Robust Clustering

Davide Bacciu, Antonina Starita, A. Starita, 2008, IEEE Transactions on Neural Networks.

Smart Environments and Context-Awareness for Lifestyle Management in a Healthy Active Ageing Framework

Stefano Chessa, Davide Bacciu, Claudio Gallicchio, 2015, EPIA.

Efficient identification of independence networks using mutual information

Davide Bacciu, Joe Whittaker, Paulo J. G. Lisboa, 2012, Computational Statistics.

Bioinformatics and medicine in the era of deep learning pdf

Paulo J. G. Lisboa, Davide Bacciu, Ruxandra Stoean, 2018, ESANN.

A Generative Multiset Kernel for Structured Data

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2012, ICANN.

Learning context-aware mobile robot navigation in home environments

Alessandro Saffiotti, Davide Bacciu, Claudio Gallicchio, 2014, IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications.

Graph Mixture Density Networks pdf

Davide Bacciu, Alessio Micheli, Federico Errica, 2020, ArXiv.

Italian Machine Learning and Data Mining research: The last years

Fabrizio Riguzzi, Donato Malerba, Davide Bacciu, 2013, Intelligenza Artificiale.

Compositional generative mapping of structured data

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

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

Davide Bacciu, Stefania Gnesi, Laura Semini, 2015, WWV.

Hidden tree Markov networks: Deep and wide learning for structured data

Davide Bacciu, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

A learning system for automatic Berg Balance Scale score estimation

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2017, Eng. Appl. Artif. Intell..

An experience in using machine learning for short-term predictions in smart transportation systems

Davide Bacciu, Stefania Gnesi, Laura Semini, 2017, J. Log. Algebraic Methods Program..

ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs

Davide Bacciu, Raffaello Brondi, Luca Ascari, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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

Davide Bacciu, Loredana Zollo, Antonina Starita, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Edge-based sequential graph generation with recurrent neural networks pdf

Davide Bacciu, Alessio Micheli, Marco Podda, 2020, Neurocomputing.

Tensor Decompositions in Deep Learning

Davide Bacciu, Danilo P. Mandic, D. Mandic, 2020, ESANN.

Graph generation by sequential edge prediction

Davide Bacciu, Alessio Micheli, Marco Podda, 2019, ESANN.

Mixture of Hidden Markov Model as Tree Encoder

Davide Bacciu, Daniele Castellana, 2018, ESANN.

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

Davide Bacciu, Vincenzo Gervasi, Giuseppe Prencipe, 2016, FUN.

Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders

Davide Bacciu, Antonio Carta, Andrea Valenti, 2020, ECAI.

Simultaneous clustering and feature ranking by competitive repetition suppressionlearning with application to gene data analysis

Davide Bacciu, Alessio Micheli, Antonina Starita, 2007 .

Exploratory Analysis Dimensionality Reduction

Davide Bacciu, 2013 .

Feature-wise Competitive Repetition Suppression Learning for Gene Data Clustering and Feature Ranking

Davide Bacciu, Alessio Micheli, Antonina Starita, 2007 .

Accelerating the identification of informative reduced representations of proteins with deep learning for graphs pdf

Davide Bacciu, Alessio Micheli, Federico Errica, 2020, ArXiv.

Reliability and human factors in Ambient Assisted Living environments

Stefano Chessa, Davide Bacciu, Claudio Gallicchio, 2017, Journal of Reliable Intelligent Environments.

Adaptive tree kernel by multinomial generative topographic mapping

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2011, The 2011 International Joint Conference on Neural Networks.

Unsupervised Breast Cancer Class Discovery: a Comparative Study on Model-based and Neural Clustering

Davide Bacciu, Antonina Starita, Elia Biganzoli, 2008 .

Probabilistic Modeling in Machine Learning

Paulo J. G. Lisboa, Thomas Villmann, Davide Bacciu, 2015, Handbook of Computational Intelligence.

Patient stratification with competing risks by multivariate Fisher distance

Paulo J. G. Lisboa, Davide Bacciu, Terence A. Etchells, 2009, 2009 International Joint Conference on Neural Networks.

A Fuzzy Approach for Negotiating Quality of Services

Davide Bacciu, Alessio Botta, Hernán C. Melgratti, 2006, TGC.

A reservoir activation kernel for trees

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2016, ESANN.

Augmenting the Distributed Evaluation of Path Queries on Data-Graphs with Information Granules

Davide Bacciu, Alessio Botta, Dan C. Stefanescu, 2007, MLG.

A Deep Generative Model for Fragment-Based Molecule Generation

Davide Bacciu, Alessio Micheli, Marco Podda, 2020, AISTATS.

Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction pdf

Davide Bacciu, Battista Biggio, Francesco Crecchi, 2019, ESANN.

Encoding-based Memory Modules for Recurrent Neural Networks pdf

Davide Bacciu, Alessandro Sperduti, Antonio Carta, 2020, ArXiv.

On the need of machine learning as a service for the internet of things

Stefano Chessa, Davide Bacciu, Claudio Gallicchio, 2017, IML.

ESNigma: efficient feature selection for echo state networks

Davide Bacciu, Alessio Micheli, Filippo Benedetti, 2015, ESANN.

Internet of Robotic Things-Converging Sensing / Actuating , Hypoconnectivity , Artificial Intelligence and IoT Platforms

Stefano Chessa, Alessandro Saffiotti, Davide Bacciu, 2017 .

Adaptive fuzzy-valued service selection

Davide Bacciu, Maria Grazia Buscemi, Lusine Mkrtchyan, 2010, SAC '10.

Competitive Repetition-suppression (CoRe) Learning

Davide Bacciu, Antonina Starita, 2006, ICANN.

Randomized neural networks for preference learning with physiological data

Davide Morelli, Davide Bacciu, Michele Colombo, 2018, Neurocomputing.

Theoretically Expressive and Edge-aware Graph Learning pdf

Davide Bacciu, Alessio Micheli, Federico Errica, 2020, ESANN.

Deep Learning for Graphs

Davide Bacciu, Alessio Micheli, A. Micheli, 2019, INNSBDDL.

Robotic UBIquitous COgnitive Networks (RUBICON)

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2012 .

Reti neurali e linguaggio. Le insidie nascoste di un'algebra delle parole

Davide Bacciu, Davide Bacciu, 2019 .

A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks pdf

Davide Bacciu, Luigi Di Sotto, D. Bacciu, 2019, AI*IA.

Learning Tree Distributions by Hidden Markov Models pdf

Davide Bacciu, Daniele Castellana, 2018, ArXiv.

An ambient intelligence approach for learning in smart robotic environments

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2019, Comput. Intell..

Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory pdf

Davide Bacciu, Alessandro Sperduti, Antonio Carta, 2020, ArXiv.

Distributed Neural Computation over WSN in Ambient Intelligence

Stefano Chessa, Davide Bacciu, Claudio Gallicchio, 2013, ISAmI.

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

Davide Bacciu, 2015, Neural Computing and Applications.

Convergence Behavior of Competitive Repetition-Suppression Clustering

Davide Bacciu, Antonina Starita, A. Starita, 2007, ICONIP.

Expansive competitive learning for kernel vector quantization

Davide Bacciu, Antonina Starita, 2009, Pattern Recognit. Lett..

Societal Issues in Machine Learning: When Learning from Data is Not Enough

Paulo J. G. Lisboa, Davide Bacciu, Luca Oneto, 2019, ESANN.

DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal Information

Cosimo Della Santina, Matteo Bianchi, Antonio Bicchi, 2018, Front. Neurorobot..

Adaptive Service Selection - A Fuzzy-valued Matchmaking Approach

Davide Bacciu, Maria Grazia Buscemi, Lusine Mkrtchyan, 2009 .

Detecting Socialization Events in Ageing People: The Experience of the DOREMI Project

Stefano Chessa, Davide Bacciu, Claudio Gallicchio, 2016, 2016 12th International Conference on Intelligent Environments (IE).

Generative Kernels for Tree-Structured Data

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2018, IEEE Transactions on Neural Networks and Learning Systems.

FUZZY AGREEMENT FOR NETWORK SERVICE CONTRACTS

Leonardo Badia, Davide Bacciu, Alessio Botta, 2007 .

Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)

Davide Bacciu, Alessandra Retico, Elisa Ferrari, 2019, Artif. Intell. Medicine.

Linear Memory Networks pdf

Davide Bacciu, Alessandro Sperduti, Antonio Carta, 2018, ICANN.

Robotic Ubiquitous Cognitive Ecology for Smart Homes

Stefano Chessa, Alessandro Saffiotti, Davide Bacciu, 2015, Journal of Intelligent & Robotic Systems.

Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models

Davide Bacciu, Daniele Castellana, D. Bacciu, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

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

Davide Bacciu, Stefania Gnesi, Laura Semini, 2016, ERCIM News.

Explaining Deep Graph Networks with Molecular Counterfactuals pdf

Davide Bacciu, Danilo Numeroso, D. Bacciu, 2020, ArXiv.

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

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data

Davide Bacciu, Daniele Castellana, 2020, ESANN.

Suitable Doesn't Mean Attractive. Human-Based Evaluation of Automatically Generated Headlines

Malvina Nissim, Davide Bacciu, Lorenzo De Mattei, 2019, CLiC-it.

IoT European Large-Scale Pilots – Integration, Experimentation and Testing

Alessandro Saffiotti, Davide Bacciu, Claudio Gallicchio, 2017 .

Bottom-Up Generative Modeling of Tree-Structured Data

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2010, ICONIP.

Different Methodologies for Patient Stratification Using Survival Data

Paulo J. G. Lisboa, Ana S. Fernandes, Davide Bacciu, 2009, CIBB.

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

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Discovering Hidden Pathways in Bioinformatics

Paulo J. G. Lisboa, Davide Bacciu, Jonathan M. Garibaldi, 2011, CIBB.

Autoencoder-based Initialization for Recurrent Neural Networks with a Linear Memory

Davide Bacciu, Alessandro Sperduti, Antonio Carta, 2019 .

An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living

Stefano Chessa, Davide Bacciu, Paolo Barsocchi, 2012, WIRN.

Generalising Recursive Neural Models by Tensor Decomposition

Davide Bacciu, Daniele Castellana, D. Bacciu, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Learning from Non-Binary Constituency Trees via Tensor Decomposition pdf

Davide Bacciu, Daniele Castellana, 2020, COLING.

DropIn: Making reservoir computing neural networks robust to missing inputs by dropout

Davide Morelli, Davide Bacciu, Francesco Crecchi, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

An input-output hidden Markov model for tree transductions

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2013, Neurocomputing.

A General Purpose Distributed Learning Model for Robotic Ecologies

Stefano Chessa, Davide Bacciu, Claudio Gallicchio, 2012, SyRoCo.

Clustering of protein expression data: a benchmark of statistical and neural approaches

Paulo J. G. Lisboa, Davide Bacciu, Jonathan M. Garibaldi, 2011, Soft Comput..

Discovering Strategic Behaviors in Multi-Agent Scenarios by Ontology-Driven Mining

Davide Bacciu, Andrea Bellandi, Barbara Furletti, 2008 .

A percentual learning model to discover the hierarchical latent structure of image collections

Davide Bacciu, D. Bacciu, 2008 .

Integrating bi-directional contexts in a generative kernel for trees

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Augmenting Recurrent Neural Networks Resilience by Dropout

Davide Bacciu, Francesco Crecchi, D. Bacciu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Self-sustaining Learning for Robotic Ecologies

Alessandro Saffiotti, Davide Bacciu, Claudio Gallicchio, 2012, SENSORNETS.

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

Davide Bacciu, Alessio Micheli, Federico Errica, 2018, ICML.

Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders pdf

Davide Bacciu, Antonio Carta, Andrea Valenti, 2020, ArXiv.

Sequential Sentence Embeddings for Semantic Similarity

Davide Bacciu, Antonio Carta, D. Bacciu, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Modeling Edge Features with Deep Bayesian Graph Networks

Davide Bacciu, Alessio Micheli, Federico Errica, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

K-plex cover pooling for graph neural networks

Davide Bacciu, Roberto Grossi, Alessio Conte, 2021, Data Mining and Knowledge Discovery.

Calliope - A Polyphonic Music Transformer pdf

Davide Bacciu, Andrea Valenti, Stefano Berti, 2021, ESANN.

A tensor framework for learning in structured domains

Davide Bacciu, Daniele Castellana, D. Bacciu, 2021, Neurocomputing.

TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2021, 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS).

Predictive auto-scaling with OpenStack Monasca

Davide Bacciu, Tommaso Cucinotta, Andrea Passarella, 2021, UCC.

Is Class-Incremental Enough for Continual Learning? pdf

Davide Bacciu, Davide Maltoni, Vincenzo Lomonaco, 2021, Frontiers in Artificial Intelligence.

Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals

Davide Bacciu, Anna Monreale, Michele Resta, 2021, Entropy.

Ex-Model: Continual Learning from a Stream of Trained Models pdf

Davide Bacciu, Vincenzo Lomonaco, Andrea Cossu, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks

Davide Bacciu, Danilo Numeroso, D. Bacciu, 2021, IEEE International Joint Conference on Neural Network.

A causal learning framework for the analysis and interpretation of COVID-19 clinical data pdf

Davide Bacciu, Francesco Faita, Lorenzo Ghiadoni, 2021, ArXiv.

Inductive learning for product assortment graph completion pdf

Davide Bacciu, Marco Trincavelli, Haris Dukic, 2021, ESANN.

Continual Learning for Recurrent Neural Networks: an Empirical Evaluation

Davide Bacciu, Vincenzo Lomonaco, Andrea Cossu, 2021, Neural Networks.

Context-Aware Graph Convolutional Autoencoder

Davide Bacciu, Asma Sattar, D. Bacciu, 2021, IWANN.

Graph Mixture Density Networks

Davide Bacciu, Alessio Micheli, Federico Errica, 2021, ICML.

Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation

Davide Bacciu, Marco Podda, D. Bacciu, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Distilled Replay: Overcoming Forgetting through Synthetic Samples pdf

Davide Bacciu, Vincenzo Lomonaco, Andrea Cossu, 2021, ArXiv.

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

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2021, IWANN.

Federated Reservoir Computing Neural Networks

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification pdf

Davide Bacciu, Federico Errica, Andrea Cossu, 2021, ArXiv.

Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data

Davide Morelli, Davide Bacciu, Gioele Bertoncini, 2021, Neural Computing and Applications.

Dependable Integration Concepts for Human-Centric AI-Based Systems

Davide Bacciu, Eric Armengaud, Georg Macher, 2021, SAFECOMP Workshops.

Continual Learning with Echo State Networks pdf

Davide Bacciu, Claudio Gallicchio, Vincenzo Lomonaco, 2021, ESANN.

Supporting Privacy Preservation by Distributed and Federated Learning on the Edge

Davide Bacciu, Patrizio Dazzi, Alberto Gotta, 2021, ERCIM News.

Encoding-based memory for recurrent neural networks

Davide Bacciu, Alessandro Sperduti, Antonio Carta, 2021, Neurocomputing.

Avalanche: an End-to-End Library for Continual Learning

Simone Calderara, Davide Bacciu, Simone Scardapane, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss pdf

Davide Bacciu, Elisa Ferrari, D. Bacciu, 2021, ArXiv.

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

Davide Bacciu, Alessio Micheli, Marco Podda, 2018, Scientific Reports.

Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs

Davide Bacciu, D. Bacciu, Andrea Bongiorno, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

RANKING BY COMPETITIVE REPETITION SUPPRESSION LEARNING WITH APPLICATION TO GENE DATA ANALYSIS

Davide Bacciu, Alessio Micheli, Antonina Starita, 2007 .

A framework for semantic querying of distributed data-graphs via information granules

Davide Bacciu, Alessio Botta, Dan C. Stefanescu, 2007 .