MLBio+Laboratory Machine Learning in Biomedical Informatics



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Updated: 6 days 8 hours ago

Congrats to Anveshi

Tue, 08/25/2015 - 15:38

Congratulations to Anveshi for successfully completing his Ph.D. defense!

Nikhil's paper accepted at IEEE ICTAI 2015

Tue, 08/25/2015 - 15:37

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)

Location: Italy

Dates: November 2015

Releasing our source code for Large Scale Hierarchical Classification: HierCost

Fri, 08/14/2015 - 10:29

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.

What are the lab Alumni upto ?

Wed, 08/12/2015 - 14:53
  1. 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
  2. M.S. Thesis Students:

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Tuesday Aug 25 11:30 AM in Engineering 4801 join us for Anveshi's Ph.D. defense

Wed, 08/12/2015 - 14:27

Oral Defense of Doctoral Dissertation: Regularized Learning in Multiple Tasks with Relationships

Tuesday, August 25, 2015
11:30am–1:30pm

ENGR 4801
Anveshi Charuvaka

Abstract

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Undergraduate student Rouly releases web application for evaluating CS curricula

Wed, 08/12/2015 - 14:20

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

Wed, 08/12/2015 - 14:07

Title: A Ranking-based approach for Hierarchical Classification

Authors: Azad Naik and Huzefa Rangwala

Conference: IEEE DSAA SMTDS 2015

Location: Paris, France

Preprint Attached

Anveshi's paper on Cost-Sensitive Learning and Hierarchical Classification Accepted at ECML 2015

Wed, 06/03/2015 - 21:01

Title : HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive Learning

Authors: Anveshi Charuvaka and Huzefa Rangwala

Conference: ECML PKDD 2015

Location: Porto, Portugal
Dates: Sep 7-11, 2015

Acceptance Rate: 23.2%

Abstract:

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Michel's paper accepted at ICER 2015

Wed, 06/03/2015 - 20:56

Title : What Are We Teaching? Automated Evaluation of CS Curricula Content Using Topic Modeling

Authors: Jean Michel Rouly, Huzefa Rangwala and Aditya Johri

Conference: The eleventh annual ACM International Computing Education Research (ICER) Conference

Location: Omaha, Nebraska

Dates: Aug 9-13, 2015.

Acceptance Rate: 26%

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