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Books and Theses
- 2014
[b1]Samuel J. Blasiak:
Latent Variable Models of Sequence Data for Classification and Discovery. George Mason University, Fairfax, Virginia, USA, 2014
Conference and Workshop Papers
- 2015
- [c6]Yao Liu, Sam Blasiak, Weijun Xiao, Zhenhua Li, Songqing Chen:
A Quantitative Study of Video Duplicate Levels in YouTube. PAM 2015: 235-248 - 2013
- [c5]Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey:
Relevant Subsequence Detection with Sparse Dictionary Learning. ECML/PKDD (1) 2013: 401-416 - [c4]Samuel J. Blasiak, Huzefa Rangwala, Sithu Sudarsan:
Joint Segmentation and Clustering in Text Corpuses. SDM 2013: 485-493 - 2012
- [c3]Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey:
A Family of Feed-Forward Models for Protein Sequence Classification. ECML/PKDD (2) 2012: 419-434 - [c2]Samuel J. Blasiak, Huzefa Rangwala, Kathryn B. Laskey:
Beam Methods for the Profile Hidden Markov Model. SDM 2012: 331-342 - 2011
- [c1]Sam Blasiak, Huzefa Rangwala:
A Hidden Markov Model Variant for Sequence Classification. IJCAI 2011: 1192-1197
Informal and Other Publications
- 2021
- [i1]Baris Sumengen, Anand Rajagopalan, Gui Citovsky, David Simcha, Olivier Bachem, Pradipta Mitra, Sam Blasiak, Mason Liang, Sanjiv Kumar:
Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets. CoRR abs/2105.11653 (2021)
Coauthor Index
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