I received my BS. in Management and Production Engineering (2004) and my MSc. in Management, Economics and Industrial Engineering (2007) from Politecnico di Milano working on applications of Artificial Intelligence to production systems.
After working for a couple of years as a BPR analyst for a Fair Trade organisation, I moved to the University of Edinburgh where I received my MSc. (with distinction) in Artificial Intelligence (2010).
I am currently pursuing my PhD in Computer Vision at Istituto Italiano di Tecnologia (PAVIS Dept.). My main research interests lie in the development of Bayesian Nonparametric Models for Computer Vision applications and for mining high-frequency streaming data.
Journal Papers and Contributions
R. B. Aldridge, M. Zanotto, L. Ballerini, R. B. Fisher and J. L. Rees, Using multi-dimensional scaling (MDS) and hierarchical clustering, novices can sub-classify basal cell carcinomas (BCCs) in a similar manner to experienced dermatologists, Journal of Investigative Dermatology, 132, S70-S70, September 2012. (42nd Annual Meeting of the European-Society-for-Dermatological-Research (ESDR) Abstract)
R. B. Aldridge, M. Zanotto, L. Ballerini, R. B. Fisher and J. L. Rees, The 'ABCD' mnemonic does not function as a useful guide in assisting novices with the diagnosis of melanoma, British Journal of Dermatology, 165(1s), 55-56, July 2011. (91st Annual Meeting of the British Association of the Dermatologists Abstract)
R. B. Aldridge, M. Zanotto, L. Ballerini, R. B. Fisher and J. L. Rees, Novice Identiﬁcation of Melanoma: Not Quite as Straightforward as the ABCDs, Acta Dermato-Venereologica, 91(2), 125–130, March 2011.
Papers In Conferences
M. Zanotto, L. Bazzani, M. Cristani, V. Murino, Online Bayesian Nonparametrics for Group Detection, BMVC 2012, Giuldford, UK; http://dx.doi.org/10.5244/C.26.111
M. Zanotto, L. Ballerini, R. B. Aldridge, R. B. Fisher and J. L. Rees, Visual Cues Do Not Improve Skin Lesion ABC(D) Grading, Proceedings of SPIE 7966, 79660U (2011); doi:10.1117/12.878115 .
J. Cassina, M. Taisch, M. Zanotto and M. Gerosa Proposal for a Methodology for the Development of Predictive Maintenance Decision Support Systems Based on Artiﬁcial Intelligence, Proceedings of Maintenance Management 2007, Rome, September 2007.
M. Zanotto, V. Murino, Fast Variational Inference for Dirichlet Process Mixture Models, Bayesian Nonparametrics Methods: Hope or Hype - NIPS 2011 Wks, Sierra Nevada, Spain.
Papers In Collections
J. Cassina, M. Taisch, M. Zanotto and M. Gerosa Proposal for a Methodology for the Development of Predictive Maintenance Decision Support Systems Based on Artiﬁcial Intelligence, in Recent Advances in Maintenance and Infrastructure Management, R.D. Cigolini, A.V. Deshmukh, L. Fedele and S.A. McComb (Editors), Springer, 2009.