Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic ScholarShai Fine
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
showing all ?? records
2010 – today
- 2018
[i3]Elad Hoffer, Shai Fine, Daniel Soudry:
On the Blindspots of Convolutional Networks. CoRR abs/1802.05187 (2018)- [i2]Lena Granovsky, Gabi Shalev, Nancy Yacovzada, Yotam Frank, Shai Fine:
Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks. CoRR abs/1802.07945 (2018) - 2012
- [c20]Maria-Florina Balcan, Avrim Blum, Shai Fine, Yishay Mansour:
Distributed Learning, Communication Complexity and Privacy. COLT 2012: 26.1-26.22 - [i1]Maria-Florina Balcan, Avrim Blum, Shai Fine, Yishay Mansour:
Distributed Learning, Communication Complexity and Privacy. CoRR abs/1204.3514 (2012) - 2011
- [j10]Ehud Aharoni, Shai Fine, Yaara Goldschmidt, Ofer Lavi, Oded Margalit, Michal Rosen-Zvi, Lavi Shpigelman:
Smarter log analysis. IBM Journal of Research and Development 55(5): 10 (2011) - [j9]Dorit Baras, Shai Fine, Laurent Fournier, Dan Geiger, Avi Ziv:
Automatic boosting of cross-product coverage using Bayesian networks. STTT 13(3): 247-261 (2011)
2000 – 2009
- 2009
- [j8]Shai Fine, Laurent Fournier, Avi Ziv:
Using Bayesian networks and virtual coverage to hit hard-to-reach events. STTT 11(4): 291-305 (2009) - 2008
- [j7]Shady Copty, Shai Fine, Shmuel Ur, Elad Yom-Tov, Avi Ziv:
A probabilistic alternative to regression suites. Theor. Comput. Sci. 404(3): 219-234 (2008) - [c19]Dan Goldwasser, Ofer Strichman, Shai Fine:
A Theory-Based Decision Heuristic for DPLL(T). FMCAD 2008: 1-8 - 2007
- [j6]Shai Fine, Yishay Mansour:
Active sampling for multiple output identification. Machine Learning 69(2-3): 213-228 (2007) - 2006
- [j5]Shai Fine, Ari Freund, Itai Jaeger, Yishay Mansour, Yehuda Naveh, Avi Ziv:
Harnessing Machine Learning to Improve the Success Rate of Stimuli Generation. IEEE Trans. Computers 55(11): 1344-1355 (2006) - [c18]
- [c17]
- 2005
- [c16]Shai Fine, Ari Freund, Itai Jaeger, Yehuda Naveh, Avi Ziv, Yishay Mansour:
Harnessing machine learning to improve the success rate of stimuli generation. HLDVT 2005: 112-118 - [c15]Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow:
Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval. SIGIR 2005: 512-519 - [c14]Elad Yom-Tov, David Carmel, Adam Darlow, Dan Pelleg, Shai Errera-Yaakov, Shai Fine:
Juru at TREC 2005: Query Prediction in the Terabyte and the Robust Tracks. TREC 2005 - 2004
- [c13]
- [c12]Markus Braun, Shai Fine, Avi Ziv:
Enhancing the efficiency of Bayesian network based coverage directed test generation. HLDVT 2004: 75-80 - [c11]Shady Copty, Shai Fine, Shmuel Ur, Avi Ziv:
Probabilistic Alternative Regression Suites. ISoLA (Preliminary proceedings) 2004: 89-91 - [c10]Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow, Einat Amitay:
Juru at TREC 2004: Experiments with Prediction of Query Difficulty. TREC 2004 - 2003
- [j4]Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby:
Discriminative Feature Selection via Multiclass Variable Memory Markov Model. EURASIP J. Adv. Sig. Proc. 2003(2): 93-102 (2003) - [c9]
- [c8]Shai Fine, Avi Ziv:
Enhancing the control and efficiency of the covering process [logic verification]. HLDVT 2003: 96-101 - 2002
- [j3]Shai Fine, Ran Gilad-Bachrach, Eli Shamir:
Query by committee, linear separation and random walks. Theor. Comput. Sci. 284(1): 25-51 (2002) - [c7]Shai Fine, George Saon, Ramesh A. Gopinath:
Digit recognition in noisy environments via a sequential GMM/SVM system. ICASSP 2002: 49-52 - [c6]Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby:
Discriminative Feature Selection via Multiclass Variable Memory Markov Model. ICML 2002: 578-585 - 2001
- [j2]Shai Fine, Katya Scheinberg:
Efficient SVM Training Using Low-Rank Kernel Representations. Journal of Machine Learning Research 2: 243-264 (2001) - [c5]Shai Fine, Jirí Navrátil, Ramesh A. Gopinath:
A hybrid GMM/SVM approach to speaker identification. ICASSP 2001: 417-420 - [c4]Shai Fine, Jirí Navrátil, Ramesh A. Gopinath:
Enhancing GMM scores using SVM "hints". INTERSPEECH 2001: 1757-1760 - [c3]Shai Fine, Katya Scheinberg:
Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM. NIPS 2001: 705-711
1990 – 1999
- 1999
- [c2]Ran Bachrach, Shai Fine, Eli Shamir:
Query by Committee, Linear Separation and Random Walks. EuroCOLT 1999: 34-49 - 1998
- [j1]Shai Fine, Yoram Singer, Naftali Tishby:
The Hierarchical Hidden Markov Model: Analysis and Applications. Machine Learning 32(1): 41-62 (1998) - 1997
- [c1]Ran El-Yaniv, Shai Fine, Naftali Tishby:
Agnostic Classification of Markovian Sequences. NIPS 1997: 465-471
Coauthor Index
maintained by 
at 
at 
last updated on 2018-08-15 02:06 CEST by the dblp team
data released under the ODC-BY 1.0 license
see also: Terms of Use | Privacy Policy | Imprint