# :: alessandro antonucci @ idsia ::

### About me

I am a senior researcher of the *Dalle Molle Institute for Artificial Intelligence* (IDSIA), located in Lugano, Switzerland. In particular, I am a member of the Imprecise Probability Group. I am also teach Computational Mathematics at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI). My research interests focus on probability theory, statistics, and data mining. More specifically on theoretical investigations and applications of the theory of imprecise probability.

Most of my work is related to probabilistic graphical models: mainly Bayesian networks and their extensions to imprecise probability, which are called *credal networks*. I am especially interested in the application of these models to classification (this including the multilabel case) and, mostly, the development of knowledge-based decision support systems. Recently, I began to apply these models also to computer vision. At the present moment, I am involved in a research project granted by Armasuisse for the development of knowledge-based systems for military decision making based on credal networks.

Some further information about myself.

- Lecturer of Computational Mathematics at DTI-SUPSI.

- At-large member (former Treasurer and Executive Editor) of the SIPTA society.

- Program Committee member of (among others) ISIPTA (since 2009), UAI (since 2010), IJCAI, AAAI.
- I gave lectures on credal networks for the SIPTA Schools (since 2010), and the IJCAI and AAAI tutorial forums.

Please get a look to my resume for more detailed information about myself and refer to my publications list for insights about my research.

### Publications

- De Campos, C., Antonucci, A. (2015). Imprecision in Machine Learning and AI. [ pdf ]
- Antonucci, A., Scanagatta, M., Mauà, D., de Campos, C.P. (2015). Early classification of time series by hidden Markov models with set-valued parameters . In . Proceedings of the NIPS Time Series Workshop 2015. [ pdf ]
- Mauá, D.D., Antonucci, A., de Campos, C.P. (2015). Hidden Markov models with set-valued parameters.
*Neurocomputing*. [ pdf ] - Cabañas, R., Antonucci, A., Cano, A., Gómez-Olmedo, M. (2015). Variable elimination for interval-valued influence diagrams. In
*Proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty*. [ pdf ] - Antonucci, A., Corani, G. (2015). The multilabel naive credal classifier. In
*ISIPTA '15: Proceedings of the Ninth International Symposium on Imprecise Probability: Theories and Applications*. SIPTA. [ pdf ] - De Bock, J., de Campos, C.P., Antonucci, A. (2014). Global sensitivity analysis for MAP inference in graphical models. In
*Advances in Neural Information Processing Systems 27 (NIPS 2014)*. [ pdf ] - Corani, G., Antonucci, A., Mauá, D.D., Gabaglio, S. (2014). Trading off speed and accuracy in multilabel classification. In van der Gaag, L.C., Feelders, A. (Eds.),
*PGM '14: Proceedings of the Seventh European Workshop on Probabilistic Graphical Models*. Lecture Notes in Artificial Intelligence, Springer, 145-159. [ pdf ] - Mauá, D.D., de Campos, C.P., Benavoli, A., Antonucci, A. (2014). Probabilistic inference in credal networks: new complexity results.
*Journal of Artificial Intelligence Research***50**, 603-637. [ pdf ] - Antonucci, A., de Campos, C.P., Zaffalon, M., Huber, D. (accepted for publication). Approximate credal network updating by linear programming with applications to decision making.
*International Journal of Approximate Reasoning*. [ pdf ] - Mauá, D.D., de Campos, C.P., Antonucci, A. (2014). Hidden Markov models with imprecisely specified parameters. In
*Proceedings of the Brazilian Conference on Intelligent Systems*. [ pdf ] - Antonucci, A., de Rosa, R., Giusti, A., Cuzzolin, F. (2015). Robust classification of multivariate time series by imprecise hidden Markov models.
*International Journal of Approximate Reasoning***56**, 249-263. [ pdf ] - Antonucci, A., Karlsson, A., Sundgren, D. (2014). Decision making with hierarchical credal sets. In Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (Eds.),
*Information Processing and Management of Uncertainty in Knowledge-Based Systems*. Communications in Computer and Information Science, Springer, 456-465. [ pdf ] - Mauá, D.D., de Campos, C.P., Benavoli, A., Antonucci, A. (2013). On the Complexity of Strong and Epistemic Credal Networks. In
*Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence*., 391-400. [ pdf ] - Antonucci, A., Corani, G., Mauá, D.D., Gabaglio, S. (2013). An Ensemble of Bayesian Networks for Multilabel Classification. In
*Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI-13)*. [ pdf ] - 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)*. [ pdf ] - Antonucci, A., de Rosa, R., Giusti, A., Cuzzolin, F. (2013). Temporal data classification by imprecise dynamical models. In Cozman, F., Denoeux, T., Destercke, S., Seidenfeld, T. (Eds.),
*ISIPTA '13: Proceedings of the Eighth International Symposium on Imprecise Probability: Theories and Applications*. SIPTA. [ pdf ] - Antonucci, A., de Campos, C.P., Huber, D., Zaffalon, M. (2013). Approximating credal network inferences by linear programming. In van der Gaag, L. C. (Eds.),
*Proceedings of the 12th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty*. Lecture Notes in Artificial Intelligence, Springer, 13-25. [ pdf ] - Corani, G., Antonucci, A., de Rosa, R. (2012). Compression-based AODE classifiers. In De Raedt, L., Bessiere, C., Dubois, D., Doherty, P., Frasconi, P., Heintz, F., Lucas, P.J.F. (Eds.),
*Proceedings 20th European Conference on Artificial Intelligence (ECAI 2012)*. Frontiers in Artificial Intelligence and Applications, IOS Press, 264-269. [ pdf ] - Antonucci, A., Corani, G., Gabaglio, S. (2012). Active Learning by the Naive Credal Classifier. In Cano, A., Gómez-Olmedo, M., Nielsen, T.D. (Eds.),
*Proceeding of the sixth European Workshop on Probabilistic Graphical Models (PGM 2012)*., 3-10. [ pdf ] - Antonucci, A., Cattaneo, M., Corani, G. (2012). Likelihood-Based Robust Classification with Bayesian Networks. In Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M.
and Matarazzo, B., Yager, R.R. (Eds.),
*Advances in Computational Intelligence*. Communications in Computer and Information Science, Springer, 491-500. [ pdf ] - Antonucci, A. (2012). An Interval-Valued Dissimilarity Measure for Belief Functions Based
on Credal Semantics. In Denoeux, T., Masson M.H. (Eds.),
*Belief Functions: Theory and Applications - Proceedings of the 2nd International Conference on Belief Functions, Compi\`egne, France, 9-11 May 2012*. Advances in Soft Computing, Springer, 37-44. [ pdf ] - Antonucci, A., de Campos, C.P. (2011). Decision Making by Credal Nets. In
*Proceedings of the International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC 2011)*. IEEE, 201-204. [ pdf ] - Antonucci, A. (2011). The Imprecise Noisy-OR Gate. In
*FUSION 2011: Proceedings of the 14th International Conference on Information Fusion*. IEEE, 709-715. [ pdf ] - Antonucci, A., de Rosa, R., Giusti, A. (2011). Action Recognition by Imprecise Hidden Markov Models. In
*Proceedings of the 2011 International Conference on Image Processing, Computer Vision and Pattern Recognition, IPCV 2011*. CSREA Press, 474-478. [ pdf ] - Antonucci, A., Cattaneo, M., Corani, G. (2011). The Naive Hierarchical Credal Classifier. In
*ISIPTA '11: Proceedings of the seventh International Symposium on Imprecise Probability: Theories and Applications*. SIPTA, 21-30. [ pdf ] - Benavoli, A., Antonucci, A. (2010). Aggregating Imprecise Probabilistic Knowledge: application to Zadeh's
paradox and sensor networks.
*International Journal of Approximate Reasoning***51**, 1014-1028. [ pdf ] - De Cooman, G., Hermans, F., Antonucci, A., Zaffalon, M. (2010). Epistemic irrelevance in credal nets: the case of imprecise Markov
trees.
*International Journal of Approximate Reasoning***51**, 1029-1052. [ pdf ] - Antonucci, A., Cuzzolin, F. (2010). Credal Sets Approximation by Lower Probabilities: Application to
Credal Networks. In Hüllermeier, E., Kruse, R., Hoffmann, F. (Eds.),
*Computational Intelligence for Knowledge-Based Systems Design, 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings*. Lecture Notes in Computer Science, Springer, 716-725. [ pdf ] - Antonucci, A., Piatti, A. (2009). Modeling unreliable observations in Bayesian networks by credal networks. In Godo, L., Pugliese, A. (Eds.),
*Scalable Uncertainty Management, Third International Conference, SUM 2009, Washington, DC, USA, September 28-30, 2009. Proceedings*. Lecture Notes in Computer Science, Springer, 28-39. [ pdf ] - Piatti, A., Antonucci, A., Zaffalon, M. (2010). Building knowledge-based expert systems: a tutorial. [ pdf ]
- Antonucci, A., Benavoli, A., Zaffalon, M., de Cooman, G., Hermans, F. (2009). Multiple model tracking by imprecise Markov trees. In
*FUSION 2009: Proceedings of the 12th International Conference on Information Fusion*. IEEE. [ pdf ] - Benavoli, A., Antonucci, A. (2009). Aggregating Imprecise Probabilistic Knowledge. In Augustin, T., Coolen, F., Moral, S., Troffaes, M.C.M. (Eds.),
*ISIPTA '09: Proceedings of the Sixth International Symposium on Imprecise Probability: Theories and Applications*. SIPTA, 31-40. [ pdf ] - De Cooman, G., Hermans, F., Antonucci, A., Zaffalon, M. (2009). Epistemic irrelevance in credal networks: the case of imprecise Markov
trees. In Augustin, T., Coolen, F., Moral, S., Troffaes, M.C.M. (Eds.),
*ISIPTA '09: Proceedings of the Sixth International Symposium on Imprecise Probability: Theories and Applications*. SIPTA, 149-158. [ pdf ] - Antonucci, A., Yi, S., de Campos, C.P., Zaffalon, M. (2010). Generalized loopy 2U: a new algorithm for approximate inference in
credal networks.
*International Journal of Approximate Reasoning***55**, 474-484. [ pdf ] - Antonucci, A., Brühlmann, R., Piatti, A., Zaffalon, M. (2009). Credal networks for military identification problems.
*International Journal of Approximate Reasoning***50**, 666-679. [ pdf ] - Salvetti, A., Antonucci, A., Zaffalon, M. (2008). Spatially distributed identification of debris flow source areas
by credal networks. In Sànchez-Marrè, M., Béjar, J., Comas, J., Rizzoli, A.
E., Guariso, G. (Eds.),
*iEMSs 2008: International Congress on Environmental Modelling and Software Integrating Sciences and Information Technology for Environmental Assessment and Decision Making (Transactions of the 4th Biennial Meeting of the International Environmental Modelling and Software Society)*. iEMSs, 380-387. [ pdf ] - Antonucci, A., Zaffalon, M. (2008). Decision-Theoretic Specification of Credal Networks: A Unified Language
for Uncertain Modeling with Sets of Bayesian Networks.
*International Journal of Approximate Reasoning***49**, 345-361. [ pdf ] - Antonucci, A., Zaffalon, M., Yi, S., de Campos, C.P. (2008). Generalized loopy 2U: a new algorithm for approximate inference in
credal networks. In Jaeger, M., Nielsen, T. D. (Eds.),
*PGM'08: Proceedings of the Fourth European Workshop on Probabilistic Graphical Models*., 17-24. [ pdf ] - Antonucci, A., Salvetti, A., Zaffalon, M. (2007). Credal networks for hazard assessment of debris flows. [ pdf ]
- Antonucci, A., Piatti, A., Zaffalon, M. (2007). Credal networks for operational risk measurement and management. In Apolloni, B., Howlett, R. J., Jain, L. C. (Eds.),
*Proceedings of the 11th International Conference on Knowledge-Based and Intelligent Information \& Engineering Systems: KES2007, Lectures Notes in Computer Science*. Springer, 604-611. [ pdf ] - Antonucci, A., Brühlmann, R., Piatti, A., Zaffalon, M. (2007). Credal networks for military identification problems. In de Cooman, G, Vejnarová, J., Zaffalon, M. (Eds.),
*ISIPTA '07: Proceedings of the fifth International Symposium on on Imprecise Probability: Theories and Applications*. Action M Agency, 1-10. [ pdf ] - Antonucci, A., Zaffalon, M. (2007). Fast algorithms for robust classification with Bayesian nets.
*International Journal of Approximate Reasoning***44**, 200-223. [ pdf ] - Antonucci, A., Zaffalon, M. (2006). Locally specified credal networks. In Studený, M., Vomlel, J. (Eds.),
*PGM'06: Proceedings of the third European Workshop on Probabilistic Graphical Models*. Action M Agency, 25-34. [ pdf ] - Antonucci, A., Zaffalon, M., Ide, J.S., Cozman, F.G. (2006). Binarization Algorithms for Approximate Updating in Credal Nets. In Penserini, L., Peppas, P., Perini, A. (Eds.),
*STAIRS'06: Proceedings of the third European Starting AI Researcher Symposium*. IOS Press, 120-131. [ pdf ] - Antonucci, A., Zaffalon, M. (2006). Equivalence between Bayesian and credal nets on an updating problem. In Lawry, J., Miranda, E., Bugarin, A., Li, S., Gil, M.
A., Grzegorzewski, P., Hryniewicz, O. (Eds.),
*Proceedings of third international conference on Soft Methods in Probability and Statistics (SMPS-2006)*. Springer, 223-230. [ pdf ] - Antonucci, A., Zaffalon, M. (2005). Fast algorithms for robust classification with Bayesian nets. In Cozman, F. G., Nau, R., Seidenfeld, T. (Eds.),
*Proceedings of the fourth International Symposium on Imprecise Probabilities and Their Applications (ISIPTA'06)*. SIPTA, 11-20. [ pdf ] - Antonucci, A., Salvetti, A., Zaffalon, M. (2004). Assessing debris flow hazard by credal nets. In Lopez-Diaz, M., Gil, M. A., Grzegorzewski, P., Hryniewicz,
O., Lawry, J. (Eds.),
*Proceedings of the Second International Conference on Soft Methods in Probability and Statistics (SMPS-2004) - Soft Methodology and Random Information Systems*. Springer, 125-132. [ pdf ] - Antonucci, A., Salvetti, A., Zaffalon, M. (2004). Hazard assessment of debris flows by credal networks. In Pahl-Wostl, C., Schmidt, S., Rizzoli, A. E., Jakeman, A.
J. (Eds.),
*iEMSs 2004: Complexity and Integrated Resources Management, Transactions of the 2nd Biennial Meeting of the International Environmental Modelling and Software Society*. iEMSs, 98-103. [ pdf ] - Antonucci, A. (2008). Imprecise Probabilistic Graphical Models: Equivalent Representations, Inference Algorithms and Applications. [ pdf ]

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