Stefano Teso
Studente di dottorato / PhD student
Università degli Studi di Trento,
DISI - Dipartimento di Ingegneria e Scienza dell'Informazione
Gruppo di ricerca
machine Learning and Intelligent OptimizatioN
LION /
machine Learning and Intelligent OptimizatioN
(LION) research group
Informazioni in breve / Quick information
| Email | teso _at_ disi.unitn.it
|
| Indirizzo / Address | DISI - Università di Trento / via Sommarive 14 / I-38100 Trento / ITALY
|
| Telefono / Telephone | Tel: +39.0461.88.3918
|
| Pagina web / Web page |
http://disi.unitn.it/~teso/
|
Breve biografia / Short bio
I was born in Latisana (UD), but lived most of my life in San Dona' di Piave (VE).
I got my bachelor's degree in computer science at the University "Ca'Foscari" of Venice, and my
master's degree in bioinformatics at the University of Trento.
Now I'm a second-year PhD student at the
Department of Information Engineering and Computer Science (DISI) at the University of Trento.
Materiale didattico / Teaching material
Esercizi per il corso di informatica per biotecnologie, 2011: qui.
Temi di ricerca / Research topics and projects
My main interests are:
- Applications of statistical and statistical-relational machine learning
techniques to computational biology / bioinformatics, in particular to the
prediction of protein features (such as disulfide bridges, contacts, functional
sites, etc.)
- Applications of machine learning techniques for learning to recognize
complex patterns of human behavior, and in particular to the prevention of
anomalous and dangerous situations in the instrumented home.
In the past I have worked on global optimization and machine learning techniques
applied to computational biology, with particular focus on the prediction of
the tertiary (3D) structure of proteins from their amino acid sequence.
Pubblicazioni / Publications
- An on/off lattice approach to protein structure prediction from contact maps -- Stefano Teso, Cristina Di Risio, Andrea Passerini, Roberto Battiti, 2010, Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatic (PRIB'10)
- From On-Going to Complete Activity Recognition Exploiting Related Activities -- Carlo Nicolini, Bruno Lepri, Stefano Teso, Andrea Passerini, 2010, in Lecture Notes in Computer Science, Berlin Heidelberg: Springer-Verlag, 2010, p. 26-37. Atti di: Human Behavior Understanding, Istanbul, Turkey, 22nd August 2010
Technical reports
Paola Lecca and Stefano Teso,
Notes on stochastic simulation of chemical kinetics with cycle-leaping, Technical Report for the Microsoft Research - University of Trento Centre for Computational and Systems Biology, TR-19-2008.
Download.
