MLBio+Laboratory Machine Learning in Biomedical Informatics



Blogs

Posted by rangwala

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:

Posted by rangwala

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%

Posted by rangwala

Title : Approximate Block Coordinate Descent for Large Scale Hierarchical Classification

Authors: Anveshi Charuvaka and Huzefa Rangwala

Conference: The 30th ACM/SIGAPP Symposium On Applied Computing

Location: Salamanca, Spain

Dates: April 13 - 17, 2015

Abstract:

Posted by rangwala

Title: Predicting Preference Tags to Improve Item Recommendation.

Authors: Tanwistha Saha, Huzefa Rangwala and Carlotta Domeniconi .

Conference: SIAM International Conference in Data Mining (SDM 2015)

Venue: Vancouver, Canada

Dates: April 28-May 2, 2015.

Preprint: Coming Soon.

Abstract:

Posted by rangwala

Congratulations to Tanwistha Saha for defending her doctoral thesis titled "Learning in Relational Networks".

Tanwistha will be joining Intel in Portland, Oregon in December 2014.

Posted by rangwala

Title: Convex Multi-task Relationship Learning using Hinge Loss

Authors: Anveshi Charuvaka and Huzefa Rangwala

Conference: IEEE Symposium on Computational Intelligence and Data Mining

Location: Florida

Date: Dec 2014.

Abstract:

Multi-task learning improves generalization performance by learning several related tasks
jointly. Several methods have been proposed for multi-task learning in recent years. Many
methods make strong assumptions about symmetric task relationships while some are able to

Posted by rangwala

Huzefa Rangwala (Computer Science Department), Aditya Johri (Applied Information Technology Department), and Jaime Lester (Higher Education Program) received $766K from the National Science Foundation for their project, "BIGDATA: IA: DKA: Collaborative Research: Learning Data Analytics: Providing Actionable Insights to Increase College Student Success."

This project is in collaboration with the University of Minnesota.

Posted by rangwala

Each year, George Mason University selects three faculty members who show exceptional promise in their disciplines to receive the Mason Emerging Researcher, Scholar, Creator Award.

Posted by rangwala

Huzefa was the 2014 GMU Teaching Excellence Award winner.

Check out Huzefa's online teaching portfolio with student names redacted associated with this award.

Posted by rangwala

Three papers accepted (in press) for publishing in IEEE/ACM Transactions on on Computational Biology and Bioinformatics (TCBB)

  • Predicting Protein Functions using Multiple Kernels by Guoxian Yu, Huzefa Rangwala , Carlotta Domeniconi, Guoji Zhang and Zili Zhang
  • Classifying protein sequences using regularized multi-task learning by Anveshi Charuvaka and Huzefa Rangwala
  • Protein Function Prediction with Incomplete Annotations by Guoxian Yu, Huzefa Rangwala ,Carlotta Domeniconi, Guoji Zhang and Zhiwen Yu


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