100 Morrissey Blvd.
Science Building S-3-090
Boston, MA 02125-3393 USA

Email: rvetro'at'cs.umb.edu

Rosanne Vetro

Data Mining Research Group
Department of Computer Science
University of Massachusetts Boston

I received a Ph.D. degree and a M.S. degree in Computer Science from the University of Massachusetts Boston. I also received a B.S. degree in Computer Science from the Federal University of Rio de Janeiro.

My research area is machine learning and data mining with application to bioinformatics, multimedia content, and optimization. My research interests also include studying and applying transformations to dissimilarity spaces that can improve the performance of classifiers and clustering algorithms.

In the past, I had worked as a team leader in the Research and Development Engineering Department of TV Globo - a Brazilian broadcast company - and also held a visiting researcher position at the Tokyo Science & Technical Research Labs of NHK - a Japanese broadcast company. As part of my work at NHK, I contributed to the development of the ISO/IEC MPEG-7 International Standard.

Curriculum Vitae

My Curriculum Vitae contains both academic and industry information.


R. Vetro, R. Farhoodi, R. Kotla, N. Haspel, D. Weisman, J. Rosen, D. Simovici, "TIDE: Inter-chromosomal Translocation and Insertion Detection using Embeddings", 2014 IEEE International Conference on Big Data, Washington DC, USA, Oct 27-30 2014.

D. Simovici, R. Vetro, K. Hua, "Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining", 15th Conference on Knowledge Extraction and Management - EGC 2015, Luxembourg, Jan 27-30 2015. (Submitted)

R. Vetro, N. Haspel, D. Simovici, "Characterizing Intermediate Conformations in Protein Conformational Space", Ninth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics - CIBB, Houston, USA, July 12-14 2012.

R. Vetro, D. A. Simovici, W. Ding "Entropy Quad-Trees for High Complexity Regions Detection", International Journal of Software Science and Computational Intelligence (IJSSCI), in press, 2011.

R. Vetro, D. Simovici, "Entropic Quadtrees and Mining Mars Craters", ICDM 2010, Berlin, Germany, July 12-14 2010.

R. Vetro, W. Ding, D. Simovici, "Mining for High Complexity Regions Using Entropy and Box Counting Dimension Quad-Trees", 9th IEEE International Conference on Cognitive Informatics, Beijing, China, July 07-09 2010. (Best Paper Award)

D. Simovici, D. Pletea, R. Vetro, "Information-Theoretical Mining of Determining Sets for Partially Defined Functions", 40th International Symposium on Multiple-Valued Logic, Barcelona, Spain, May 26-28 2010.

D. Simovici, D. Pletea, R. Vetro, "Mining Determining Sets for Partially Defined Functions", Advances in Data Mining - 9th Industrial Conference on Data Mining, ICDM 2009, Leipzig, Germany. LNAI 5633 pp.353-360.(Springer)

Thinking Algorithms

sublinear.info is a wikified list of open problems in sublinear algorithms

Please contact me if any questions or comments.