Publications

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2020

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

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

Davide, Bacciu; Antonina, Starita

Expansive competitive learning for kernel vector quantization Journal Article

Pattern Recognition Letters, 30 (6), pp. 641–651, 2009, ISSN: 0167-8655.

Links | BibTeX | Tags: clustering, competitive repetition suppression learning, kernel methods, neural networks, statistics, unsupervised learning

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

Davide, Bacciu; Antonina, Starita

Convergence Behavior of Competitive Repetition-Suppression Clustering Conference

Neural Information Processing, Lecture Notes in Computer Science, 4984 , Springer, 2008.

Abstract | Links | BibTeX | Tags: clustering, competitive repetition suppression learning, 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