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Logo Ateneo
   
Manfredotti Cristina Elena
cristina

 

Ciclo: XXII

Indirizzo Mail: cristina.manfredotti@disco.unimib.it

Telefono: 02 6448 7918

Stanza: 1002

Titolo ricerca: Modeling and Inference with Relational Dynamic Bayesian Networks.


Currently Post Doctoral fellow at University of Regina, SK Canada.

My new home page is available at: http://www2.cs.uregina.ca/~manfredc/

Curriculum Vitae
Seminari / Talks:
- Ph-D Proposal - Ph-D Proposal  (29/01/2008)
Materiale Didattico/Teaching Material
Publications

 

  • E. Fersini, C. Manfredotti, E. Messina, F. Archetti, Combining Gene Expression Profies and Drug Activity Patterns Analysis: A Relational Clustering Approach, accepted for publication in Journal of Mathematical Modeling and Algorithms.
  • C. Manfredotti, D. Fleet, E. Messina, Relations to improve Multi-Target Tracking in an Activity Recognition System, 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP-09), 3 December 2009.

  • C. Manfredotti, E. Messina, Relational Dynamic Bayesian Networks to improve Multi-Target Tracking, Advanced Concepts for Intelligent Vision Systems (ACIVS), October, 2009.

  • C. Manfredotti, E. Messina, D. Fleet, Relations as Context to improve Multi Target Tracking and Activity Recognition, First International Workshop on Logic-Based Interpretation of Context: Modeling and Applications, September, 2009.

  • C. Manfredotti, Modeling and Inference with RDBNs, Canadian Artificial Intelligence Conference, Graduated Student Symposium, May, 2009.
  • C. Manfredotti, E. Messina, F. Archetti.Improving Multiple Traget Tracking with RDBNs AIROWinter 2009, International Conference of the Italian Operations Research Society, January, 2009.
  • E. Fersini, C. Manfredotti, E. Messina, F. Archetti. Relational Clustering for Gene Expression Profiles and Drug Activity Pattern Analysis, SysBioHealth symposium, Milan, October, 2007.
  • E. Fersini, C. Manfredotti, E. Messina. Relational K-means for gene expression profiles and drugactivity patterns analysis, AIRO 2007, XXXVIII Annual Conference of the Italian Operations Research Society, September, 2007.
  • C. Manfredotti, F. Archetti. Anomaly detection in traffic video surveillance: a multiple hypotesis Markov chain approach, AIRO 2006, XXXVII Annual Conference of the Italian Operations ResearchSociety, September, 2006.
  • F. Archetti, C. Manfredotti, E. Messina and D. G. Sorrenti, Foreground-to-ghost Discrimination in Single-difference Pre-processing, Advanced Concepts for Intelligent Vision Systems (ACIVS),September, 2006.
  • F. Archetti, C. Manfredotti, M. Matteucci, E. Messina, D. G. Sorrenti, Parallel first-order Markov Chain for on-line Anomaly Detection in traffic video surveillance, IET Conference on Crime andSecurity: the Technical Fight, June, 2006.

 

Approfondimenti
  • Per informazioni

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