Publications

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2021

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

Bontempi, Gianluca; Chavarriaga, Ricardo; Canck, Hans De; Girardi, Emanuela; Hoos, Holger; Kilbane-Dawe, Iarla; Ball, Tonio; Nowé, Ann; Sousa, Jose; Bacciu, Davide; Aldinucci, Marco; Domenico, Manlio De; Saffiotti, Alessandro; Maratea, Marco

The CLAIRE COVID-19 initiative: approach, experiences and recommendations Journal Article

Ethics and Information Technology, 2021.

Links | BibTeX | Tags: artificial intelligence, bioinformatics, biomedical data

Andrea Valenti Michele Barsotti, Davide Bacciu ; Ascari, Luca

A Deep Classifier for Upper-Limbs Motor Anticipation Tasks in an Online BCI Setting Journal Article

Bioengineering , 2021.

Links | BibTeX | Tags: autoencoder, biomedical data, deep learning, Sequential data

Bacciu, Davide; Bertoncini, Gioele; Morelli, Davide

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

Neural Computing Applications, 2021.

Links | BibTeX | Tags: biomedical data, data visualization, explainable AI, internet of things, multivariate time-series, self-organizing map

2020

Ronchetti, Matteo; Bacciu, Davide

Generative Tomography Reconstruction Workshop

34th Conference on Neural Information Processing Systems (NeurIPS 2020), Workshop on Deep Learning and Inverse Problems, 2020.

Abstract | Links | BibTeX | Tags: adversarial learning, biomedical data, deep learning, generative model, inverse problems, machine vision

Valenti, Andrea; Barsotti, Michele; Brondi, Raffaello; Bacciu, Davide; Ascari, Luca

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

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 2020.

Abstract | Links | BibTeX | Tags: autoencoder, biomedical data, deep learning, Sequential data

 Biochemical Pathway Robustness Prediction with Graph Neural Networks

Podda, Marco; Micheli, Alessio; Bacciu, Davide; Milazzo, Paolo

Biochemical Pathway Robustness Prediction with Graph Neural Networks Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'20), 2020.

BibTeX | Tags: bioinformatics, biomedical data, deep learning for graphs, structured data processing

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

Ferrari, Elisa; Retico, Alessandra; Bacciu, Davide

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

Artificial Intelligence in Medicine, 103 , 2020.

Abstract | Links | BibTeX | Tags: artificial intelligence, bioinformatics, biomedical data, explainable AI, statistics

2018

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

Randomized neural networks for preference learning with physiological 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; 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

2017

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; 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

2015

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

2012

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

2011

H, Jarman Ian; A, Etchells Terence; Davide, Bacciu; M, Garibaldi John; O, Ellis Ian; JG, Lisboa Paulo

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

Soft Computing-A Fusion of Foundations, Methodologies and Applications, 15 (8), pp. 1459–1469, 2011, ISSN: 1432-7643.

Links | BibTeX | Tags: biomedical data, clustering, neural networks, statistics, unsupervised learning

2010

S, Fernandes Ana; Davide, Bacciu; H, Jarman Ian; A, Etchells Terence; M, Fonseca Jose; JG, Lisboa Paulo

Different Methodologies for Patient Stratification Using Survival Data Conference

Lecture Notes in Computer ScienceComputational Intelligence Methods for Bioinformatics and Biostatistics, 6160 , 2010.

Abstract | Links | BibTeX | Tags: biomedical data, clustering, competitive repetition suppression learning, neural networks, statistics, survival analysis, unsupervised learning

2009

JG, Lisboa Paulo; H, Jarman Ian; A, Etchells Terence; Davide, Bacciu; M, Garibaldi John

Model-based and model-free clustering: a case study of protein expression data for breast cancer Conference

PROCEEDINGS OF THE 2009 UK WORKSHOP ON COMPUTATIONAL INTELLIGENCE, 2009.

BibTeX | Tags: biomedical data, clustering, competitive repetition suppression learning, feature selection, neural networks, unsupervised learning

S, Fernandes Ana; Davide, Bacciu; H, Jarman Ian; A, Etchells Terence; M, Fonseca Jose; Lisboa, Paulo J G

p-Health in Breast Oncology: A Framework for Predictive and Participatory e-Systems Conference

2009 Second International Conference on Developments in eSystems Engineering, IEEE, 2009.

Abstract | Links | BibTeX | Tags: biomedical data, clustering, neural networks

Davide, Bacciu; H, Jarman Ian; A, Etchells Terence; G, Lisboa Paulo J

Patient stratification with competing risks by multivariate Fisher distance Conference

2009 International Joint Conference on Neural Networks, IEEE, 2009.

Abstract | Links | BibTeX | Tags: biomedical data, clustering, competitive repetition suppression learning, generative model, neural networks, statistics, survival analysis, unsupervised learning

2008

Davide, Bacciu

A Perceptual Learning Model to Discover the Hierarchical Latent Structure of Image Collections PhD Thesis

2008.

Abstract | Links | BibTeX | Tags: biomedical data, clustering, competitive repetition suppression learning, feature selection, generative model, graphical models, image understanding, latent topic model, neural networks, statistics, unsupervised learning

Davide, BACCIU; Elia, BIGANZOLI; JG, LISBOA Paulo; Antonina, Starita

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

Proceedings of the 12th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES'08), 5178 , Springer, 2008.

Abstract | Links | BibTeX | Tags: biomedical data, clustering, competitive repetition suppression learning, feature selection, neural networks, statistics, unsupervised learning

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

Davide, Bacciu; Alessio, Micheli; Antonina, Starita

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

Università di Pisa , 2007.

Links | BibTeX | Tags: biomedical data, clustering, competitive repetition suppression learning, feature selection, kernel methods, neural networks

Davide, BACCIU; Alessio, MICHELI; Antonina, STARITA

Simultaneous clustering and feature ranking by competitive repetition suppression learning with application to gene data analysis Conference

Proceedings of the Third International Conference on Computational Intelligence in Medicine and Healthcare (CIMED 2007), 2007.

BibTeX | Tags: biomedical data, clustering, competitive repetition suppression learning, feature selection

2005

J, Cinkelj; M, Mihelj; Davide, Bacciu; M, Jurak; Eugenio, Guglielmelli; A, Toth; J, De Lafonteyne; J, Verschelde; S, Mazzoleni; J, Van Vaerenbergh; D, Ruijter S; M, Munih

Assessment of stroke patients by whole-body isometric force-torque measurements II: software design of the ALLADIN Diagnostic Device Conference

Proceedings of the 3rd European Medical and Biological Engineering Conference, 1 , IFMBE, 2005.

BibTeX | Tags: biomedical data