Kunal Sarkhel, B.S. in Computer Science and Mathematics is working on developing a topic model for analyzing career related data.
Thanks to OSCAR for supporting his project.
Title: Predicting Clinical Phenotype using OTU-based Metagenome Representation
Authors: Nathan LaPierre and Huzefa Rangwala
Workshop: Biological Data Mining and its Applications in Healthcare of the IEEE International Conference on Data Mining (ICDM'15)
Location: Atlantic City, NJ
Dates: November, 2015.
Congratulations to Anveshi for successfully completing his Ph.D. defense!
Title: Recommending Temporally Relevant News Content From Implicit Feedback Data
Authors: Nikhil Muralidhar, Huzefa Rangwala and Sam Han
Conference: 2015 IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
Dates: November 2015
Are you interested in large scale hierarchical classification ?
Check out our program: HierCost: https://cs.gmu.edu/~mlbio/HierCost/
Details and Citation Information:
"HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive Learning". Anveshi Charuvaka and Huzefa Rangwala Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015, Porto, Portugal.
- Ph.D. Students:
- Anveshi Charuvaka (Ph.D. in CS, August 2015) , Data Scientist at GE in San Ramon, CA.
- Tanwistha Saha (Ph.D. in CS, November 2014) , Advanced Analytics Development and Deployment Engineer at Intel Corporation in Portland, Oregon
- Sam Blasiak (Ph.D. in CS, August 2013) , Software Engineer at Google in New York, NY
- Zeehasham Rasheed (Ph.D. in CS, April 2013) , Data Scientist at AOL in Herndon, VA
- M.S. Thesis Students:
Oral Defense of Doctoral Dissertation: Regularized Learning in Multiple Tasks with Relationships
Tuesday, August 25, 2015
Web Application for CS Curricula Evaluation Available here: http://edmine.cs.gmu.edu
Refer to the Paper (Presented at IEEE ICER 2015) attached for details on the algorithm and evaluation.
This research was conducted by undergraduate student Michel Jean Rouly in collaboration with Professors Rangwala and Johri.
Rouly will join startup in DC - RallyHealth, Inc.
Azad's paper on ranking-based approach for hierarchical classification accepted at IEEE DSAA-SMTDS 2015
Title: A Ranking-based approach for Hierarchical Classification
Authors: Azad Naik and Huzefa Rangwala
Conference: IEEE DSAA SMTDS 2015
Location: Paris, France