Saaid Baraty
I am a PhD candidate at
Department of Computer Science of
University of Massachusetts at Boston .
My subfield is
Data Mining and I a member of
Data Mining group .
My advisor is
Professor Dan Simovici .
Topics in Data Mining and Machine Learning that I am interested in are:
- Bayesian Belief Networks.
- Entropy Functions and Partitions.
- Density Based Approaches in Cluster Analysis.
- Instance-Based Learning (Distance-weighted Regression
and Radial Basis Functions methods).
Educations:
- 2004-present:Working on PhD in Computer Science at UMB
- 2001-2003:MS in Computer Science from UMB
- 1993-1998:BS in Computer Science from East Gilan Azad Univ. (Iran)
Scholarships:
- GAANN doctoral fellowships for 2005-2006
- GAANN doctoral fellowships for 2006-2007
- GAANN doctoral fellowships for 2007-2008
- GAANN doctoral fellowships for 2008-2009
Contact Information:
      sbaraty "at" cs.umb.edu
      Tel:   +1 617 287 6445
      Resume/CV (docx)
      Direct Contact:
                Room 90
                Department of Computer Science
                University of Massachusetts at Boston
                100 Morrissey Blvd.
                Boston, MA 02125-3393
                USA
Publications:
-
Structure Inference of Bayesian Networks from Data: A New Approach Based on
Generalized Conditional Entropy, Proceedings of ECG 2008, pp. 337-342,
Sophia Antipolis, France.
( PDF file)
-
Edge Evaluation in Bayesian Network Structures, Proceedings of the
8th Australian Data Mining Conference (AusDM 2009), Australian
Computer Society and ACM, pp. 193-201.
( PDF file)
-
Large Data Sets, Conditional Entropy and the Cooper-Herskovits Bayesian Score,
Proceedings of the Twenty-Third International Florida Artificial Intelligence
Research Society Conference, May 19-21, 2010, Daytona Beach, Florida. AAAI Press 2010.
( PDF file)
-
The Impact of Triangular Inequality Violations on Medoid-Based Clustering, Proceedings
of ISMIS 2011, Warsaw, Poland, June 2011, Lecture Notes in Artificial Intelligence,
LNAI 6804, pp. 280--2898.
-
Evaluating Bayesian Networks by Sampling with Simplified Assumptions, To be published in
the Proceedings of ECG 2012, January 2012, Bordeaux, France
( PDF file)
Teachings:
- CS105:
Introduction to Computer Concepts
      Spring 2008
      Section 1
      Tu/Th 1:00pm-2:15pm
      M-2-205
- CS114L:
Introduction to Java Part I
      Fall 2009
      Section 1
      Tu/Th 5:30pm-6:45pm
      M-1-210
- CS114L:
Introduction to Java Part I
      Spring 2010
      Section 1
      M/W 5:30pm-6:45pm
      W/1/019
- CS114L:
Introduction to Java Part I
      Summer 2010
      Section 1
      Mo/Tu/Th 6:00pm-7:30pm
      M-02-0417
- CS114L:
Introduction to Java Part I
      Fall 2010
      Section 1
      Tu/Th 5:30pm-6:45pm
      M-2-205
- CS114L:
Introduction to Java Part I
      Spring 2011
      Section 1
      M/W 5:30pm-6:45pm
      W-1-020
- CS110/CS119:
Introduction to Computing with Java
      Summer 2011
      Section 1
      Mo/Tu/Th 6:00pm-7:30pm
      M-1-0201
- CS114L:
Introduction to Java Part I
      Fall 2011
      Section 1
      Tu/Th 5:30pm-6:45pm
      M-1-0209