News

Title : Transductive Multi-label Ensemble Classification for Protein Function Prediction.

Authors: Guoxian Yu, Carlotta Domeniconi, Huzefa Rangwala , Guoji Zhang and Zhiwen Yu

Conference: 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , Beijing, China.

Acceptance Rate: XXX out of 755.

Partly Funded by: NSF 0905117

Preprint: Coming Soon.

Title: Improving network response times using social information.

Authors: Sharath Hiremagalore, Chen Liang, Angelos Stavrou and Huzefa Rangwala

Abstract & Citation Information: http://www.cs.gmu.edu/~hrangwal/node/380

Journal: Social Network Analysis and Mining (Springer)

Link to the article: http://dx.doi.org/10.1007/s13278-012-0065-9

Preprint [Coming Soon!]

More Accolades for Eric & Marvin!

• Won $1000 scholarship for participating in the Siemens Science Fair Regional Competition at Georgia Tech University.
• Received honorable mention for submission to Poster on the Hill 2012 event.

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Congratulations to Dr. Nuttachat Wisittipanit for successfully defending his thesis.

Nuttachat will be joining Chulalongkorn University in Thailand as a faculty member beginning Fall 2012.

Co-advised by Huzefa Rangwala & Patrick Gillevet .

Thesis: Machine Learning Approach for Profiling Human Microbiome.

Sam Blasiak & Zeehasham Rasheed have been awarded fellowships to attend SIAM SDM 2012.

Besides presenting their recent work, they will participate in doctoral symposium at the conference.

Panel related to career opportunities was organized as part of ICDE 2012, thanks to a NSF award from III .

Panelist Information: http://www.icde12.org/Site/?page_id=476

Scholarship Awardees: http://www.icde12.org/Site/?page_id=505

Date Location Presentation Feb 2, 2012 Computer Science, University of Maryland Baltimore County. An Integrated Machine Learning Framework for Analyzing Protein-Ligand Interaction Data. March 9, 2012 Genomics, Mount Sinai School of Medicine Computational Framework for Analyzing Metagenomes. March 21, 2012 Computer and Information Science, Temple University

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Follow the link for source code for TAC-ELM v1.0: http://www.cs.gmu.edu/~mlbio/TAC-ELM.

Authors: Zeehasham Rasheed and Huzefa Rangwala.

License: GNU GPL.

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