March-June 2005: Machine Learning Group - University of Bruxelles.
January-July 2006: Cognitive Drug Research Ltd., Goring-on-Thames, Berkshire.
I regularly collaborate to prepare proposals submitted to the Swiss National Science Foundation, to the Hasler Foundation and to the Swiss Commission for Technology and Innovation.
2007: Rotary Prize (issued by Rotary Club Como, Italy) as young researcher in the environmental area.
2002: Best Paper Prize won at the International Environmental Modelling and Software Conference (Lugano, Switzerland, 2002).
2011-present: teacher of “Statistica Applicata", (Italian), Bach. of Management Engineering, Scuola Universitaria Professionale della Svizzera Italiana (SUPSI). Main topics: statistical inference and statistical process control.
2008-present: “Uncertain Reasoning and Data Mining", (English), Master of Science in Intelligent Systems, University of Svizzera Italiana. Main topics: Bayesian networks and data mining. Assistant teacher in 2008-2009 and 2009-2010; teacher since 2010-2011 together with prof. Zaffalon.
2006-2008: assistant teacher of “Fundamentals of Systems Analysis", (English), Master of Science in Environmental Engineer (prof. Guariso), Polytechnic of Milan. Main topics: systems theory, simulation and identification.
2000-2005: assistant teacher of “Analisi dei Sistemi", (Italian), Bachelor of Science in Environmental Engineer (prof. Guariso), Polytechnic of Milan. Main topics: systems theory, simulation and identification.
The Naive Credal Classifier2 (NCC2) is an extension of Naive Bayes towards imprecise probabilities, designed to deliver robust classifications even on small or incomplete data sets. NCC2 delivers set-valued classifications (i.e., more than one class), when faced with prior-dependent instances, namely instances whose most probable class varies with the prior used to induce the classifier.
Visit the JNCC2 page for downloading the open-source implementation.
Reviewer for Int. J. of Approximate Reasoning, Computational Statistics and Data Analysis, J. of Machine Learning Research, Artificial Intelligence in Medicine, Atmospheric Environment, Water Resources Management, Env. Modelling and Software, and many others.
Member of the program committee of
PGM '14: European Workshop on Probabilistic Graphical Models
ECAI '14 European Conference on Artificial Intelligence
My Google Scholar page .
[A.15] G. Corani, M.C. Magli, A. Giusti, L. Gianaroli, L. Gambardella, “A Bayesian Network model for predicting pregnancy after in vitro fertilization”, Computers in Biology and Medicine, 2013, 43(11), 1783–-1792. (doi). >>preprint
[A.14] L. Gianaroli, M.C. Magli, L. Gambardella, A. Giusti, C. Grugnetti and G. Corani, “Objective way to support embryo transfer: a probabilistic decision”, Human Reproduction, (2013) 28 (5): 1210-1220. (doi) >>download
[A.11] A. Giusti, P. Taddei, C. Magli, G. Corani, L. Gambardella, L. Gianaroli: "Artificial Defocus for Displaying Markers in Microscopy Z-Stacks". IEEE Transactions on Visualization and Computer Graphics, 17(12), 1757--1764, 2011. (doi).
[A.9] G.Corani, M. Zaffalon “JNCC2: The Java Implementation Of Naive Credal Classifier 2 ”, Journal of Machine Learning Research (Track on Open Source Software), 9, 2695--2698, 2008. >> download
[A.8] G.Corani, M. Zaffalon “ Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2 ”, Journal of Machine Learning Research, 9, 581--621, 2008. >> download
[A.7] G.Corani, M. Gatto “ Structural Risk Minimization: a robust method for density-dependence detection and model selection ”, Ecography, 30(3), 400–416, 2007. >> download
[A.6] M. Bianchi, G.Corani, G. Guariso, C. Pinto “ Prediction of ungulates abundances through local linear algorithms ”, Environmental Modelling and Software, 21(10), 1508-1511, 2006 >>download
[A.5] G.Corani, M. Gatto “VC-Dimension and Structural Risk Minimization for the Analysis of Nonlinear Ecological Models”, Applied Mathematics and Computation, 176(1), 166-176, 2006 >>download
[A.3] G.Corani, G.Guariso “Coupling fuzzy modelling and neural networks for river flood prediction”, IEEE Transactions on Men, Systems and Cybernetics part C, 35(3), 382-391, 2005. >>download
[A.2] G.Corani, G.Guariso “An application of pruning in the design of neural networks for real time flood forecasting”, Neural Computing & Applications, 14, 66-77, 2005. >>download
G.Corani “Air quality prediction in Milan: neural networks, pruned
neural networks and lazy learning”, Ecological Modelling, 185, 513-529,
[C.34] A. E. Rizzoli, R. Rudel, A. Forster, G. Corani, F. Cellina, L.Pampuri, R. Guidi and A. Baldassari (2014) Investigating mobility styles using smartphones: advantages and limitations according to a ﬁeld study in Southern Switzerland, Proc. iEMSs 14 (7th International Congress on Environmental Modelling and Software). >>downloadA. Benavoli, F. Mangili, G. Corani, M. Zaffalon, F. Ruggeri (2014). A Bayesian Wilcoxon signed-rank test based on the Dirichlet process, Proc. ICML 14 (International Conference on Machine Learning 2014). Acceptance rate: 22% >>download
[C.33] A. Benavoli, F. Mangili, G. Corani, M. Zaffalon, F. Ruggeri (2014). A Bayesian Wilcoxon signed-rank test based on the Dirichlet process, Proc. ICML 14 (International Conference on Machine Learning 2014). Acceptance rate: 22% >>download
[C.32] Antonucci A., Corani G., Maua D., Gabaglio S. (2013). An Ensemble of Bayesian Networks for Multilabel Classification, Proc. IJCAI 13 (23rd Int. Joint Conf. on Artificial Intelligence), 1220--1225. Acceptance rate: 28% >>download
[C.31] Corani, G., Mignatti, A. (2013). Credal model averaging of logistic regression for modeling the distribution of marmot burrows. In Cozman, F., Denoeux, T., Destercke, S., Seidenfeld, T. (Eds), Proc ISIPTA '13 (the Eighth International Symposium on Imprecise Probability: Theories and Applications). >>preprint
[C.30] A. Antonucci, G. Corani, S. Gabaglio, Active Learning by the Naive Credal Classifier, In Cano, A., Gomez-Olmedo,M., Nielsen,T. (Eds), Proc. of the 6th European Workshop on Probabilistic Graphical Models (PGM 2012), pp. 3--10. >>preprint
[C.29] G.Corani, C.Magli, A.Giusti, L. Gianaroli and L. Gambardella, A Bayesian Network model for predicting the outcome of in vitro fertilization. In Cano, A., Gomez-Olmedo,M., Nielsen,T. (Eds), Proc. of the 6th European Workshop on Probabilistic Graphical Models (PGM 2012), pp. 75--82. >>preprint
[C.28] G. Corani, A. Antonucci, and R. De Rosa, "Compression-based AODE classifiers", Proc. 20th European Conference on Artificial Intelligence (ECAI 2012), pp.264--269 . Acceptance rate: 28% >>preprint >>slides
[C.27] A. Mignatti, G. Corani, A. E. Rizzoli, "Credal Model Averaging: dealing robustly with model uncertainty on small data sets", Proc. 6th International Congress on Environmental Modelling and Software (iEMSs 2012). >>preprint
[C.26] C. Magli, G. Corani, A. Giusti, E. Castelletti, L. Gambardella and L. Gianaroli, "A prognostic model for multiple-embryo transfers", Proc. of the Annual Meeting of the European Society on Human Reproduction and Embryology (ESHRE 2012), published in Human Reproduction (Supplement: Abstract book), vol 27, suppl 2, 2012. (doi)
[C.25] A. Antonucci, M. Cattaneo, G. Corani, "Likelihood-Based Robust Classification with Bayesian Networks", Proc. of IPMU '12 , (14th Intern. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems), Communications in Computer and Information Science, 2012, Volume 299, Part 5, 491-500. (doi)
[C.24] A. Antonucci, M. Cattaneo, G. Corani, "Likelihood-Based Naive Credal Classifier", Proc. of ISIPTA '11 , (7th Intern. Symposium on Imprecise Probability: Theories and Applications), pages 21--30. >>download
[C.23] Marco Zaffalon, Giorgio Corani, Denis Mauá, "Utility-Based Accuracy Measures to Empirically Evaluate Credal Classifiers", Proc. of ISIPTA '11, (7th Intern. Symposium on Imprecise Probability: Theories and Applications), pages 401--410. >>download
[C.22] A. Giusti, C. Magli, G. Corani, L. Gambardella, L. Gianaroli, “Observing the 3-Dimensional Morphology of 4-Cell Embryos using Computer Analysis of Image Z-Stacks”, Proceedings of the Annual Meeting of the European Society on Human Reproduction and Embryology (ESHRE 2011), published in Human Reproduction (Supplement: Abstract book), vol.26, 2011.
[C.21] A. Giusti, G. Corani, L. Gambardella, C. Magli and L. Gianaroli, "3D Localization of Pronuclei of Human Zygotes Using Textures from Multiple Focal Planes", Proc. of the Medical Image Computing and Computer-Assisted Intervention (MICCAI 2010), Lecture Notes in Computer Science, 2010, Volume 6362/2010, pages 488-495. (acceptance rate: 32%). >>preprint
[C.20] G. Corani, A. Giusti, D. Migliore, and J. Schmidhuber, "Robust Texture Recognition Using Credal Classifiers.", Proc. of the British Machine Vision Conference 2010 (BMVC 2010), pages 78.1-78.10. (acceptance rate: 34%). >>download
[C.19] G. Corani, A. Benavoli, "Restricting the IDM for classification: Good and evil of epsilon", Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems, (IPMU 2010), Part 1, pages 328--337.
[C.18] A. Giusti, G. Corani, L. Gambardella, C. Magli and L. Gianaroli, "Blastomere Segmentation and 3D Morphology Measurements
of Early Embryos from Hoffman Modulation Contrast Image Stacks", IEEE International Symposium on Biomedical Imaging (ISBI) 2010.
[C.17] A. Giusti, G. Corani, L. Gambardella, C. Magli and L. Gianaroli “Lighting-Aware Segmentation of Microscopy Images for In
Vitro Fertilization”, Proc. of International Symposium on Visual Computing (ISVC) 2009, Las Vegas, Springer LNCS vol. 5875/2009, 576--585.
[C.16] A. Giusti, G. Corani, L. Gambardella, C. Magli and L. Gianaroli “Segmentation of Human Zygotes in Hoffman Modulation
Contrast Images”, Proc. of Medical Image Understanding and Analysis (MIUA), 2009, 189--193
[C.14] G. Corani, C. De Campos, S. Yi, “A Tree Augmented Classifier Based on Extreme Imprecise
Dirichlet Model”, Proc. 6th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 09), 89--98, Durham, 2009
[C.13] G.Corani, A. Rizzoli, A. Salvetti, M. Zaffalon “Reproducing human decisions in reservoir
management: the case of lake Lugano”, Proc. of the 4th International ICSC Symposium on Information
Technologies in Environmental Engineering, Thessaloniki, pages 252--263, 2009
[C.12] G.Corani, M. Zaffalon “Credal Model Averaging: an
Extension of Bayesian Model Averaging to Imprecise Probabilities, Proc. ECML PKDD '08 (European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), pages 257--271 (acceptance rate: 20%)
[C.11] G.Corani, M. Zaffalon “Naive Credal Classifier 2:
an Extension of Naive Bayes for Delivering Robust Classifications”, Proc. DMIN'08 (Int. Conf. on Data Mining), Las Vegas, July 2008
[C.10] M. Bianchi, G.Corani, G. Guariso “PM10 forecasting
with a local linear approachs”, Proc. Advanced Atmospheric Aerosol Symposium, Milano, 215-221, 2006
[C.9] Giorgio Corani, Chris Edgar, Isabelle Marshall, Keith Wesnes and Marco Zaffalon
“Classification of dementia types from cognitive profiles data”,
Proc. ECML PKDD '06 (European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), pages 470--477 (acceptance rate: 25%).
[C.8] G.Corani, M. Gatto “An application of Structural Risk Minimization to the selection of ecological models”, 16th IFAC World Conference, Prague, July 2005
[C.7] “Fuzzy modelling of basin state and Neural
Networks for flood forecasting”, 2nd International Environmental
Modelling and Software Society Conference, Osnabruck, June 2004.
M. Cecchetti, G. Corani, G. Guariso, “Artificial Neural Networks
Prediction of PM10 in the Milan area”, 2nd International Environmental
Modelling and Software Society Conference, Osnabruck, June 2004. >>download
[C.5] S. Barazzetta, G. Corani, “First results on the prediction of PM10 in Milan: the Air Sentinel project”, 9th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Garmish, May 2004.
[C.4] L.Bolognini, G. Corani, C. Faggioni, G.
Guariso, “Neural networks forecast of ozone pollution in Milan”, 8th
Int. Conference on Engineering Applications of Neural
Networks, Malaga, September 2003.
[C.3] S. Castelli, G. Corani, G. Guariso, “Structural identification of multivariate neural networks for rainfall runoff modeling”, 13th IFAC Symposium on System Identification, Rotterdam, August 2003
[C.2] 5. S. Barazzetta, G.Corani, G. Guariso, “A Neural Emission-Receptor Model for Ozone Reduction Planning”, 1st International Environmental Modelling and Software Society Conference, Lugano, 2002. This paper has been awarded with the “Best Paper Prize” of the Conference. >>download
[C.1] A.Castelletti, G.Corani, E.Weber, A. Rizzoli, R.Soncini Sessa: “A reinforcement learning approach for the operational management of a water system” IFAC Workshop on Modeling and Control in Environmental Issues. Yokohama, August 2001. >>preprint
[B.2] G.Corani, A. Antonucci, M. Zaffalon, “Bayesian Networks with Imprecise Probabilities: Theory and Application to Classification”, Ch. 4 of the book Data Mining: Foundations and Intelligent Paradigms , editors: D.E. Holmes, L.C. Jain, pages 49--93, 2012. >> chapter preprint
[B.1] R. Bellasio, R. Bianconi, G. Corani, G.
Maffeis, M. Molari and N. Quaranta, “SINERGIE, A Decision Support
System for Environmental Emergencies Management”, in "Environmental
Sciences and Environmental Computing - Volume II”. E-book edited
by “The Envirocomp Institute”. 2005
[F.1] A. Castelletti, G. Corani, “Q-Learning for
water system management”, Master Degree Thesis in Environmental
Engineering, Politecnico di Milano, Tutor: Prof. R. Soncini Sessa, 1999.
G. Corani, “Environmental modelling via learning-from-data techniques”,
PhD Thesis in Information Engineering, Politecnico di Milano, Tutor:
Prof. G. Guariso, 2005.
[D.1] G.Corani, M. Gatto “ Comments on: -Model Complexity Control for Regression Using VC
Generalization Bounds [IEEE Transaction on Neural Networks, 10(5), 1999]- ”,
Dipartimento Elettronica ed Informazione, Politenico di Milano, Internal Report 2006.54
[E.1] G. Corani G. Guariso, “Efficienza e
robustezza nella previsione di piene fluviali basata su reti neurali”,
L'acqua, 6 -2002, pag. 45-54.
[E.2] G. Corani,
G. Guariso, “Il contributo dell'informatica ambientale: misure e
modelli per la pianificazione delle risorse fisiche”, Territorio,
3-2002, pag. 18-27
[E.3] A. Castelletti, G.
Corani, E. Weber, A. Rizzoli, R. Soncini Sessa: “Q-learning nella
gestione dei laghi regolati”, Automazione e Strumentazione, 7-2001,