Chuong B. Do

Affiliations:
  • Umedy, San Francisco, CA USA
  • Coursera, Mountain View, CA USA (former)
  • Stanford University, USA (former)


According to our database1, Chuong B. Do authored at least 21 papers between 2003 and 2020.

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Timeline

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Bibliography

2020
Automated Generation of Learning Paths at Scale.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

2014
Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium).
Ubiquity, 2014

MOOCdb: Developing Standards and Systems to Support MOOC Data Science.
CoRR, 2014

2013
Automated cellular annotation for high-resolution images of adult <i>Caenorhabditis elegans</i>.
Bioinform., 2013

Tuned Models of Peer Assessment in MOOCs.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

2009
Discriminative structured models for biological sequence analysis.
PhD thesis, 2009

Automatic Parameter Learning for Multiple Local Network Alignment.
J. Comput. Biol., 2009

A Classifier-based approach to identify genetic similarities between diseases.
Bioinform., 2009

A majorization-minimization algorithm for (multiple) hyperparameter learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Proximal regularization for online and batch learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Effects of Genetic Divergence in Identifying Ancestral Origin Using HAPAA.
Proceedings of the Research in Computational Molecular Biology, 2008

Automatic Parameter Learning for Multiple Network Alignment.
Proceedings of the Research in Computational Molecular Biology, 2008

Tighter Bounds for Structured Estimation.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A max-margin model for efficient simultaneous alignment and folding of RNA sequences.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

2007
Efficient multiple hyperparameter learning for log-linear models.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
CONTRAlign: Discriminative Training for Protein Sequence Alignment.
Proceedings of the Research in Computational Molecular Biology, 2006

Training Conditional Random Fields for Maximum Labelwise Accuracy.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

CONTRAfold: RNA secondary structure prediction without physics-based models.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2005
Transfer learning for text classification.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
PROBCONS: Probabilistic Consistency-Based Multiple Alignment of Amino Acid Sequences.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Glocal alignment: finding rearrangements during alignment.
Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003


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