MLBio+Laboratory Machine Learning in Biomedical Informatics



Blogs

Posted by rangwala

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

  • 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

Preprints coming soon!

Posted by rangwala
  • Sam Blasiak, Ph.D. (2013) wins the Outstanding Graduate Student Award for AY 2013-2014.
  • Azad Naik wins the Outstanding Graduate Teaching Assistant Award for AY 2013-2014.
  • Huzefa Rangwala wins the GMU Faculty Teaching Excellence Award 2014.
Posted by rangwala

Paper Title: FLIP: Active Learning for Relational Network Classification.

Conference: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2014.

Authors: Tanwistha Saha, Huzefa Rangwala and Carlotta Domeniconi

Location: Nancy, France

Acceptance Rate: 115/483 - (23.8%).

Posted by rangwala

Check the link featuring undergraduate student, Anisha's work this Fall.

Posted by rangwala

Four journal article in press.

  1. Protein Function Prediction using Multi-label Ensemble Classification by Guoxian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, and Zhiwen Yu to appear in IEEE Transactions in Computational Biology & Bioinformatics (TCBB)
  2. 16S rRNA Metagenome Clustering and Diversity Estimation using Locality Sensitive Hashing by Zeehasham Rasheed, Huzefa Rangwala and Daniel Barbara to appear in BMC Systems Biology.
Posted by rangwala

Anisha Kolla, B.S. in Computer Science will be working on developing a metagenome clustering algorithm as part of her Fall 2013 OSCAR USRP Fellowship.

Anisha Kolla is a Junior, pursuing her B.S. in Computer Science at George Mason University.
Posted by rangwala

Congratulations to Dr. Sam Blasiak for successfully defending his doctoral thesis titled "Latent Variable Models of Sequence Data for Classification and Discovery".

Posted by rangwala

Title: Classifying Documents within Multiple Databases using Multi-Task Learning.

Authors: Azad Naik, Anveshi Charuvaka and Huzefa Rangwala

Conference: IEEE International Conference on Tools with Artificial Intelligence

Location: Washington, DC

Acceptance Rate: 25% (76/303)

Preprint: Coming Soon

Posted by rangwala

Title: Protein Function Prediction using Dependence Maximization

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

Conference: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013)

Location: Prague, Czech Republic

Acceptance Rate: 25% (111/443)

Preprint: Coming Soon

Posted by rangwala

Title: Relevant Subsequence Detection with Sparse Dictionary Learning

Authors: Sam Blasiak, Huzefa Rangwala and Kathryn Laskey

Conference: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013)

Location: Prague, Czech Republic

Acceptance Rate: 25% (111/443)

Preprint: Coming Soon



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