SCIENTIFIC TALKS
Invited Talks
Learning Bayesian Network skeletons with high-dimensional and large-sample size data, Invited Lecture at Kings College, London, 21 February 2012
Bayesian network structure learning for high-dimensions and large samples, Invited Lecture at Computing for Graphical models, Royal Statistical Society, London, 16 December 2011
Unsupervised and Semi-Supervised Image Clustering by Multi-resolution Probabilistic Learning, Istituto di Scienza e Tecnologie dell'Informazione, CNR, Pisa, 16 February 2010
Understanding Visual Content: A Multi-resolution Neuro-Probabilistic Approach, Invited Seminar, IMT Lucca Job Market, 3rd June 2009
A Perceptual Learning Model to Discover the Hierarchical Latent Structure of Image Collections, E. R. Caianiello Invited Lecture at WIRN'09, Vietri sul Mare (SA), 29 May 2009
A Multilayered Latent Aspect Model for Multimodal Image Collections, Invited Seminar, HCI Colloquium, University of Heidelberg, 19 March 2009
Probabilistic Generative Models for Machine Vision, Invited Seminar, Università di Padova, 05 March 2009
A Perceptual Learning Model to Discover the Hierarchical Latent Structure of Image Collections, Invited Seminar, Liverpool John Moores University, November 2008
TALKS AT International Conferences and Workshops
Input-Output Hidden Markov Models for Trees, ESANN'12, 25th April 2012
Predicting user movements in heterogeneous indoor environments by reservoir computing, STAMI'11, July 2011
Bottom-up Generative Modeling of Tree-Structured Data, ICONIP'10, November 2010
Compositional Generative Mapping of Structured Data, IJCNN'10 - WCCI'10, July 2010
Are Model-based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics, KES'08, September 2008
Convergence Behavior of Competitive-Repetition Suppression Clustering, ICONIP'07, November 2007
A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number: IJCNN'07, August 2007
Simultaneous Clustering and Feature Ranking by Competitive Repetition Suppression Learning with Application to Gene Data: CIMED'07, July 2007
Fuzzy Agreement for Network Service Contracts: CIEF'07, July 2007
A fuzzy approach for negotiating quality of services: TCG'06, November 2006
Competitive Repetition Suppression Learning: ICANN'06, September 2006
Research Seminars
Repetita Iuvant? Constructive and destructive effects of redundancy and repetition in art, biology and computer science: CSE Seminars, IMT Lucca, May 2006