Publications

Here you can find a consolidated (a.k.a. slowly updated) list of my publications. A frequently updated (and possibly noisy) list of works is available on my Google Scholar profile.

Please find below a short list of highlight publications for my recent activity.

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ECGAN: generative adversarial network for electrocardiography

Simone, Lorenzo; Bacciu, Davide

ECGAN: generative adversarial network for electrocardiography Conference

Proceedings of Artificial Intelligence In Medicine 2023 (AIME 2023), 2023.

BibTeX

Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios

Caro, Valerio De; Danzinger, Herbert; Gallicchio, Claudio; Könczöl, Clemens; Lomonaco, Vincenzo; Marmpena, Mina; Marpena, Mina; Politi, Sevasti; Veledar, Omar; Bacciu, Davide

Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios Conference

Proceedings of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, 2023.

Abstract | BibTeX

Deep Graph Networks for Drug Repurposing with Multi-Protein Targets

Bacciu, Davide; Errica, Federico; Gravina, Alessio; Madeddu, Lorenzo; Podda, Marco; Stilo, Giovanni

Deep Graph Networks for Drug Repurposing with Multi-Protein Targets Journal Article

In: IEEE Transactions on Emerging Topics in Computing, 2023, 2023.

Links | BibTeX

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

Ferrari, Elisa; Gargani, Luna; Barbieri, Greta; Ghiadoni, Lorenzo; Faita, Francesco; Bacciu, Davide

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

In: Plos One, vol. 17, no. 5, 2022.

Abstract | Links | BibTeX

Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes

Bacciu, Davide; Morelli, Davide; Pandelea, Vlad

Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes Journal Article

In: IEEE Transactions on Neural Networks and Learning Systems, pp. 1-8, 2022.

Links | BibTeX

Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with Deep Graph Networks

Gravina, Alessio; Wilson, Jennifer L.; Bacciu, Davide; Grimes, Kevin J.; Priami, Corrado

Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with Deep Graph Networks Journal Article

In: Plos Computational Biology, vol. 18, no. 5, 2022.

Abstract | Links | BibTeX

Deep Learning in Biology and Medicine

Bacciu, Davide; Lisboa, Paulo J. G.; Vellido, Alfredo

Deep Learning in Biology and Medicine Book

World Scientific Publisher, 2022, ISBN: 978-1-80061-093-4.

Abstract | Links | BibTeX

 Occlusion-based Explanations in Deep Recurrent Models for Biomedical Signals

Resta, Michele; Monreale, Anna; Bacciu, Davide

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

In: Entropy, vol. 23, no. 8, pp. 1064, 2021, (Special issue on Representation Learning).

Abstract | Links | BibTeX

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

Ferrari, Elisa; Bacciu, Davide

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

Online on Arxiv, 2021.

Abstract | Links | BibTeX

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

In: Ethics and Information Technology, 2021.

Links | BibTeX

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

Michele Barsotti Andrea Valenti, Davide Bacciu; Ascari, Luca

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

In: Bioengineering , 2021.

Links | BibTeX

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

Bacciu, Davide; Bertoncini, Gioele; Morelli, Davide

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

In: Neural Computing Applications, 2021.

Links | BibTeX

Generative Tomography Reconstruction

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

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

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

 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

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

In: Artificial Intelligence in Medicine, vol. 103, 2020.

Abstract | Links | BibTeX

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

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

In: Nature Scientific Reports, vol. 8, 2018.

Abstract | Links | BibTeX

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

In: Neurocomputing, vol. 298, pp. 9-20, 2018.

Abstract | Links | BibTeX

Bioinformatics and medicine in the era of deep 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

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

In: Journal of Reliable Intelligent Environments, vol. 3, no. 3, pp. 139–157, 2017, ISBN: 2199-4668.

Abstract | Links | BibTeX

ELM Preference Learning for Physiological Data

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

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), vol. 9273, Springer Verlag, 2015.

Links | BibTeX

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, vol. 7548, 2012.

Abstract | Links | BibTeX

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

In: Soft Computing-A Fusion of Foundations, Methodologies and Applications, vol. 15, no. 8, pp. 1459–1469, 2011, ISSN: 1432-7643.

Links | BibTeX

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, vol. 6160, 2010.

Abstract | Links | BibTeX

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

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

Patient stratification with competing risks by multivariate Fisher distance

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

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

Davide, Bacciu

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

2008.

Abstract | Links | BibTeX

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), vol. 5178, Springer, 2008.

Abstract | Links | BibTeX

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

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

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

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

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

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, vol. 1, IFMBE, 2005.

BibTeX