Nome e cognome Marco Zaffalon

Funzione Dipartimento tecnologie innovative, Professore

Email marco.zaffalon@supsi.ch

Website http://www.idsia.ch/~zaffalon

Ufficio Polo universitario Lugano, Campus Est, Viganello
Polo universitario Lugano, Campus Est, Via la Santa 1, 6962 Lugano-Viganello

Telefono interno +41586666665

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Formazione Laurea in Scienze dell'Informazione, 110/110 e lode. Dottorato di Ricerca in Matematica Computazionale e Ricerca Operativa.

Esperienze professionali Due anni di esperienza post-laurea nel centro di calcolo di un grande gruppo assicurativo italiano, prima del dottorato. Due anni di consulenza per SGS-Thomson a Milano durante il periodo del dottorato. Nel 1997 viene assunto come post-dottorato presso l'Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA). Nel 2001 diventa ricercatore con contratto a tempo indeterminato. Nel 2009 viene nominato Professore SUPSI e nel 2019 Direttore Scientifico IDSIA. Ha fondato e dirige un gruppo di 30 ricercatori full time nel settore del machine learning probabilistico.

Competenze Data mining, sistemi basati sulla conoscenza, ragionamento incerto, fondamenti teorici e applicazioni della probabilità, in particolare probabilità imprecisa, modelli grafico-probabilistici; applicazioni ambientali, di difesa, mediche, ingegneristiche, business.

Riconoscimenti È autore di 140 articoli internazionali peer-reviewed. È stato Presidente della Società Internazionale di Probabilità Imprecisa. È Senior Area Editor di International Journal of Approximate Reasoning. Ha acquisito oltre 12 milioni di franchi di finanziamenti competitivi per la ricerca.

Articolo di un giornale scientifico 19 Elementi

Azzimonti, L., Corani, G.& Zaffalon, M. (2019) Hierarchical estimation of parameters in Bayesian networks. Computational Statistics and Data Analysis, vol. 137 pp.67-91. » in dettaglio de Campos, C., Scanagatta, M., Corani, G.& Zaffalon, M. (2018) Entropy-based pruning for learning Bayesian networks using BIC. Artificial Intelligence, vol. 260 pp.42-50. » in dettaglio Scanagatta, M., Corani, G., Zaffalon, M., Yoo, J.& Kang, U. (2018) Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets. International Journal of Approximate Reasoning, vol. 95 pp.152-166. » in dettaglio Scanagatta, M., Corani, G., De Campos, C.& Zaffalon, M. (2018) Approximate structure learning for large Bayesian networks. Machine Learning. » in dettaglio Corani, G., Benavoli, A., Demšar, J., Mangili, F.& Zaffalon, M. (2017) Statistical comparison of classifiers through Bayesian hierarchical modelling. Machine Learning. » in dettaglio Benavoli, A., Corani, G., Demšar, J.& Zaffalon, M. (2017) Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. Journal of Machine Learning Research, vol. 18 (77) pp.1-36. » in dettaglio Benavoli, A., Facchini, A.& Zaffalon, M. (2016) Quantum mechanics: The Bayesian theory generalized to the space of Hermitian matrices. Physical Review A, vol. 95 (042106). » in dettaglio De Campos, C., Corani, G., Scanagatta, M., Cuccu, M.& Zaffalon, M. (2015) Learning extended tree augmented naive structures. International Journal of Approximate Reasoning.. » in dettaglio Antonucci, A., De Campos, C., Huber, D.& Zaffalon, M. (2015) Approximate credal network updating by linear programming with applications to decision making. International Journal of Approximate Reasoning, vol. 58 pp.25-38. » in dettaglio Zaffalon, M.& Corani, G. (2014) Comments on “Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks” by Andrés R. Masegosa and Serafín Moral. International Journal of Approximate Reasoning, vol. 55 (7) pp.1597-1600. » in dettaglio Zaffalon, M.& Miranda, E. (2013) Probability and time. Artificial Intelligence, vol. 198 pp.1-51. » in dettaglio Benavoli, A.& Zaffalon, M. (2013) Density-ratio robustness in dynamic state estimation. Mechanical Systems and Signal Processing, vol. 37 (1–2) pp.54-75. » in dettaglio Mauá, D., De Campos, C.& Zaffalon, M. (2013) On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables. Artificial Intelligence, vol. 205 pp.30-38. » in dettaglio Miranda, E.& Zaffalon, M. (2013) Conglomerable coherence. International Journal of Approximate Reasoning, vol. 54 (9) pp.1322-1350. » in dettaglio Corani, G.& Zaffalon, M. (2008) JNCC2: an extension of naive Bayes classifier suited for small and incomplete data sets. Environmental Modelling & Software, vol. 23 (7) pp.960-961. » in dettaglio Corani, G.& Zaffalon, M. (2008) JNCC2: the Java implementation of naive credal classifier 2. Journal of Machine Learning Research, vol. 9 pp.2695-2698. » in dettaglio Corani, G.& Zaffalon, M. (2008) Learning reliable classifiers from small or incomplete data sets: the naive credal classifier 2. Journal of Machine Learning Research, vol. 9 pp.581-621. » in dettaglio Gambardella, L., Mastrolilli, P., Rizzoli, A.& Zaffalon, M. (2002) Managing resource allocation, scheduling and simulation for an intermodal container terminal. JORBEL (Journal of the Belgian Operations Research Society), vol. 40 (3--4) pp.195-209. » in dettaglio Gambardella, L., Mastrolilli, P., Rizzoli, A.& Zaffalon, M. (2001) optimization methodology for intermodal terminal management, An. Journal of Intelligent Manufacturing, vol. 12 (5-6) pp.521-534. » in dettaglio

Articolo in documento di una conferenza 20 Elementi

Corani, G., Benavoli, A.& Zaffalon, M. (2021) Time series forecasting with Gaussian Processes needs priors., pp.103-117. » in dettaglio Huber, D., Cabañas, R., Antonucci, A.& Zaffalon, M. (2020) CREMA: A Java Library for Credal Network Inference. In Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM 2020). PMLR. » in dettaglio Corani, G., Azzimonti, D., Augusto, J.& Zaffalon, M. (2020) Probabilistic reconciliation of hierarchical forecast via Bayes’ rule. » in dettaglio Azzimonti, L., Corani, G.& Zaffalon, M. (2017) Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables., pp.739-744. » in dettaglio Scanagatta, M., Corani, G.& Zaffalon, M. (2017) Improved local search in Bayesian networks structure learning., pp.45-56. » in dettaglio Mangili, F., Bonesana, C., Antonucci, A., Zaffalon, M., Rubegni, E.& Addimando, L. (2016) Adaptive Testing by Bayesian Networks with Application to Language Assessment.. In Abstract Book. » in dettaglio Mangili, F., Bonesana, C., Antonucci, A., Zaffalon, M., Rubegni, E.& Addimando, L. (2016) Adaptive testing by Bayesian networks with application to language assessment. In Proceedings, pp.471-472. » in dettaglio Scanagatta, M., Corani, G., De Campos, C.& Zaffalon, M. (2016) Learning treewidth-bounded bayesian networks with thousands of variables. » in dettaglio Benavoli, A., Facchini, A.& Zaffalon, M. (2016) Quantum rational preferences and desirability. In JMLR Workshop and Conference Proceedings 58. » in dettaglio Mangili, F., Bonesana, C., Antonucci, A., Zaffalon, M., Rubegni, E.& Addimando, L. (2016) Adaptive Testing by Bayesian Networks with Application to Language Assessment.. » in dettaglio Scanagatta, M., De Campos, C., Corani, G.& Zaffalon, M. (2015) Learning Bayesian networks with thousands of variables. » in dettaglio Corani, G., Benavoli, A., Mangili, F.& Zaffalon, M. (2015) Bayesian hypothesis testing in machine learning. In Proc. ECML PKDD 2015 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), pp.199-202. » in dettaglio Benavoli, A., Corani, G., Mangili, F.& Zaffalon, M. (2015) Bayesian nonparametric procedure for comparing algorithms, A. In Proceedings of the 32th International Conference on Machine Learning (ICML 2015), pp.1264-1272. » in dettaglio De Campos, C., Cuccu, M., Corani, G.& Zaffalon, M. (2014) Extended tree augmented naive classifier. In PGM'14: Proceedings of the Seventh European Workshop on Probabilistic Graphical Models. Springer. » in dettaglio Antonucci, A., Huber, D., Zaffalon, M., Luginbühl, P., Chapman, I.& Ladouceur, R. (2013) CREDO: a Military Decision-Support System based on Credal Networks. In Proceedings of the 16th Conference on Information Fusion (FUSION 2013), pp.1942-1949. » in dettaglio Antonucci, A., De Campos, C., Huber, D.& Zaffalon, M. (2013) Approximating credal network inferences by linear programming., pp.13-25. Springer. » in dettaglio Corani, G.& Zaffalon, M. (2009) Lazy naive credal classifier., pp.30-37. ACM. » in dettaglio Corani, G.& Zaffalon, M. (2008) Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications., pp.84-90. Worldcomp. » in dettaglio Corani, G.& Zaffalon, M. (2008) Credal model averaging: an extension of Bayesian model averaging to imprecise probabilities. In Machine Learning and Knowledge Discovery in Databases, pp.257-271. Springer, Berlin / Heidelberg. » in dettaglio Corani, G., Edgar, C., Marshall, I., Wesnes, K.& Zaffalon, M. (2006) Classification of dementia types from cognitive profiles data. In Knowledge Discovery in Databases: PKDD 2006, pp.470-477. Springer. » in dettaglio

Capitolo di un libro 5 Elementi

Corani, G., Abellán, J., Masegosa, A., Moral, S.& Zaffalon, M. 2014. Classification. In Introduction to Imprecise Probabilities, Augustin Thomas ,Coolen Frank ,Troffaes Mattias ,De Cooman Gert , pp.261-285. Wiley. » in dettaglio Miranda, E.& Zaffalon, M. 2013. Conglomerable coherent lower previsions. In Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Grzegorzewski Przemysław ,Moewes Christian ,Kruse Rudolf ,Hryniewicz Olgierd ,Berthold Michael R. ,Gil María Ángeles , Advances in Intelligent and Soft Computing, vol. 190, pp.419-427. Springer. » in dettaglio Miranda, E.& Zaffalon, M. 2013. Computing the conglomerable natural extension. In Proceedings of the Eighth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '13), Denoeux Thierry ,Cozman Fabio ,Seidenfeld Teddy ,Destercke Sebastien , pp.255-264. SIPTA. » in dettaglio Corani, G., Antonucci, A.& Zaffalon, M. 2012. Bayesian networks with imprecise probabilities: theory and application to classification. In Data Mining: Foundations and Intelligent Paradigms, Intelligent Systems Reference Library, vol. 23, pp.49-93. Springer, Berlin / Heidelberg. » in dettaglio Corani, G., Rizzoli, A., Salvetti, A.& Zaffalon, M. 2009. Reproducing human decisions in reservoir management: the case of lake lugano. In Information Technologies in Environmental Engineering, pp.252-263. Springer, Berlin / Heidelberg. » in dettaglio

Report 30 Elementi

Corani, G., Benavoli, A., Demšar, J., Mangili, F.& Zaffalon, M. (2016) Statistical comparison of classifiers through Bayesian hierarchical modelling. IDSIA. » in dettaglio Antonucci, A., De Campos, C.& Zaffalon, M. (2014) Probabilistic Graphical Models. IDSIA. » in dettaglio Zaffalon, M., Corani, G.& Deratani Maua, D. (2012) Evaluating credal classifiers by utility-discounted predictive accuracy. IDSIA. » in dettaglio Antonucci, A.& Zaffalon, M. (2009) Fast Algorithms for robust classification with Bayesian Nets.. IDSIA. » in dettaglio Benavoli, A., Zaffalon, M.& Miranda, E. (2009) Robust filtering through coherent lower previsions. IDSIA. » in dettaglio Piatti, A., Zaffalon, M., Trojani, F.& Hutter, M. (2009) Limits of Learning about a Categorical Latent Variable under Prior Near-Ignorance. IDSIA. » in dettaglio Gert, D., Filip, H., Antonucci, A.& Zaffalon, M. (2009) Epistemic irrelevance in credal networks: the case of imprecise Markov trees. IDSIA. » in dettaglio Corani, G.& Zaffalon, M. (2007) JNCC2: the Java implementation of the Naive Credal Classifier2. IDSIA. » in dettaglio Piatti, A., Zaffalon, M., Trojani, F.& Hutter, M. (2007) Learning about a Categorical Latent Variable under Prior Near-Ignorance. IDSIA. » in dettaglio Corani, G.& Zaffalon, M. (2007) Naive Credal Classifier 2: a robust approach to classification for small and incomplete data sets. IDSIA. » in dettaglio Antonucci, A., Salvetti, A.& Zaffalon, M. (2004) Hazard Assessment of Debris Flows by Credal Networks.. IDSIA. » in dettaglio Zaffalon, M. (2004) Statistical classification with incomplete observations.. IDSIA. » in dettaglio De Cooman, G.& Zaffalon, M. (2003) Updating probabilities with incomplete observations.. IDSIA. » in dettaglio Zaffalon, M.& Hutter, M. (2003) Robust inference of trees.. IDSIA. » in dettaglio Hutter, M.& Zaffalon, M. (2002) Distribution of Mutual Information from Complete and Incomplete Data.. IDSIA. » in dettaglio Zaffalon, M., Wesnes, M.& Keith, P. (2002) Reliable diagnoses of dementia by the naive credal classifier inferred from incomplete cognitive data.. IDSIA. » in dettaglio Zaffalon, M.& Hutter, M. (2002) Robust Feature Selection by Mutual Information Distributions.. IDSIA. » in dettaglio Zaffalon, M., Wesnes, K.& Petrini, O. (2001) Credal classification for dementia screening. IDSIA. » in dettaglio Zaffalon, M. (2001) Robust discovery of tree-dependency structures. IDSIA. » in dettaglio Zaffalon, M. (2000) Statistical inference of the naive credal classifier. IDSIA. » in dettaglio Zaffalon, M. (1999) Fast Computation of the Confidence for the Naive Credal Classifier Defined with Interval Probabilities. IDSIA. » in dettaglio Zaffalon, M. (1999) Efficient Test of Credal Dominance for the Naive Credal Classifier Defined with Interval Probabilities., An. IDSIA. » in dettaglio Fagiuoli, E.& Zaffalon, M. (1999) Tree-Augmented Naive Credal Classifiers . IDSIA. » in dettaglio Zaffalon, M., Gambardella, L.& Taillard, E. (1999) Network Design Approach to the Allocation of Resources in an Intermodal Terminal , A. IDSIA. » in dettaglio Zaffalon, M. (1999) Credal Networks Classification. IDSIA. » in dettaglio Zaffalon, M. (1999) Exact Credal Treatment of Missing Data, with an Application to Classification. IDSIA. » in dettaglio Fagiuoli, E.& Zaffalon, M. (1998) Note about Redundancy in Influence Diagrams , A. IDSIA. » in dettaglio Gambardella, L., Rizzoli, A.& Zaffalon, M. (1998) Simulation and planning of an intermodal container terminal . IDSIA. » in dettaglio Gambardella, L., Rizzoli, A.& Zaffalon, M. (1998) Simulation and planning of an intermodal container terminal. Scuola Universitaria professionale della Svizzera italiana. » in dettaglio Gambardella, L.& Zaffalon, M. (1998) Optimization of Resources in an Intermodal Terminal. IDSIA. » in dettaglio

Progetti di cui è responsabile

Statistical learning and inference on big data with probabilistic graphical models » in dettaglio Robust structure learning of bayesian networks » in dettaglio Utool : a System for evaluation of usecured credits » in dettaglio Learning under near-Ignorance: models and methods » in dettaglio Credal networks made easy » in dettaglio Advancement of credal model averaging for classification » in dettaglio Sviluppo di nuovi algoritmi per l'identificazione di modelli prognostici in pazienti affetti da linf » in dettaglio Computational Identification of Pathways and Genes Involved in Lymphoid Tumors: From DNA Copy Number » in dettaglio Ignorance, caution, and the naive credal classifier » in dettaglio knowledge-Based Decision Support: netzwerke und Imprecise Probability » in dettaglio Computational Identification of Pathways and Genes Involved in Lymphoid Tumors Starting from DNA Cop » in dettaglio Unifying graphical Models by credal Networks: Algorithms ... » in dettaglio Identifizierung von unbekannten Objekten mittels kredaler Klassifizierung » in dettaglio Model averaging methodologies for credible classification » in dettaglio Statistical learning from imperfect observations under prior ignorance » in dettaglio Classification of cognitive profiles » in dettaglio Uncertain Reasoning Under incompleteness » in dettaglio Investigations on the theory and practice of credal classification » in dettaglio

Progetti di cui è membro

OmniProfiler » in dettaglio Multi Model Inference For dealing with Uncertainty in Environ... » in dettaglio Stagend.com: un social network che mette in relazione gli attori della scena musicale indipendente ( » in dettaglio Intelligent INvitro INcubator » in dettaglio Credal Model Averaging For dealing with Uncertainty in Environmental Modelling » in dettaglio Modeling and Numerical Simulation of Carbon Fullerenes and Nanotubes and their Composites - New Team » in dettaglio