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Shai Fine
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2020 – today
- 2024
- [c28]Abraham Israeli, Aviv Naaman, Guy Maduel, Rawaa Makhoul, Dana Qaraeen, Amir Ejmail, Dina Lisnanskey, Julian Jubran, Shai Fine, Kfir Bar:
DiaSet: An Annotated Dataset of Arabic Conversations. LREC/COLING 2024: 4865-4876 - [c27]Maya Stemmer, Shira Barzilay, Itamar Efrati, Talia Friedman, Lior Carmi, Mishael Zohar, Anat Brunstein Klomek, Alan Apter, Shai Fine:
Predicting Adolescent Suicide Risk From Cellphone Usage Data and Self-Report Assessments. HICSS 2024: 3656-3665 - 2023
- [j12]Dana Zalman (Oshri), Shai Fine
:
Variational Inference via Rényi Bound Optimization and Multiple-Source Adaptation. Entropy 25(10): 1468 (2023) - [c26]Gal Blecher, Shai Fine:
MoEAtt: A Deep Mixture of Experts Model using Attention-based Routing Gate. ICMLA 2023: 1018-1024 - [c25]Dana Oshri Zalman, Shai Fine:
Multiple-Source Adaptation Using Variational Rényi Bound Optimization. ECML/PKDD (5) 2023: 326-340 - 2022
- [c24]Dana Oshri Zalman, Shai Fine:
Variational Inference via Rényi Upper-Lower Bound Optimization. ICMLA 2022: 819-824 - 2021
- [c23]Aviv Peled, Shai Fine:
Discrete Latent Variables Discovery and Structure Learning in Mixed Bayesian Networks. ICMLA 2021: 248-255 - [c22]Berry Weinstein, Shai Fine, Yacov Hel-Or:
Pairwise Margin Maximization for Deep Neural Networks. ICMLA 2021: 263-270 - [c21]Abraham Israeli, Yotam Nahum, Shai Fine, Kfir Bar:
The IDC System for Sentiment Classification and Sarcasm Detection in Arabic. WANLP 2021: 370-375 - [i6]Berry Weinstein, Shai Fine, Yacov Hel-Or:
Pairwise Margin Maximization for Deep Neural Networks. CoRR abs/2110.04519 (2021) - 2020
- [i5]Berry Weinstein, Shai Fine, Yacov Hel-Or:
Margin-Based Regularization and Selective Sampling in Deep Neural Networks. CoRR abs/2009.06011 (2020)
2010 – 2019
- 2019
- [i4]Berry Weinstein, Shai Fine, Yacov Hel-Or:
Selective sampling for accelerating training of deep neural networks. CoRR abs/1911.06996 (2019) - 2018
- [j11]Shani Cohen
Characterizing patient compliance over six months in remote digital trials of Parkinson's and Huntington disease. BMC Medical Informatics Decis. Mak. 18(1): 138:1-138:10 (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
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
Smarter log analysis. IBM J. Res. Dev. 55(5): 10 (2011) - [j9]Dorit Baras, Shai Fine, Laurent Fournier, Dan Geiger, Avi Ziv:
Automatic boosting of cross-product coverage using Bayesian networks. Int. J. Softw. Tools Technol. Transf. 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. Int. J. Softw. Tools Technol. Transf. 11(4): 291-305 (2009) - 2008
- [j7]Shady Copty, Shai Fine, Shmuel Ur, Elad Yom-Tov
A probabilistic alternative to regression suites. Theor. Comput. Sci. 404(3): 219-234 (2008) - [c19]Dan Goldwasser, Ofer Strichman
A Theory-Based Decision Heuristic for DPLL(T). FMCAD 2008: 1-8 - 2007
- [j6]Shai Fine, Yishay Mansour:
Active sampling for multiple output identification. Mach. Learn. 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]Shai Fine, Yishay Mansour:
Active Sampling for Multiple Output Identification. COLT 2006: 620-634 - [c17]Tzur Sayag, Shai Fine, Yishay Mansour:
Combining Multiple Heuristics. STACS 2006: 242-253 - 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
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]Shai Fine, Shmuel Ur, Avi Ziv:
Probabilistic regression suites for functional verification. DAC 2004: 49-54 - [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. Signal Process. 2003(2): 93-102 (2003) - [c9]Shai Fine, Avi Ziv:
Coverage directed test generation for functional verification using bayesian networks. DAC 2003: 286-291 - [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
Query by committee, linear separation and random walks. Theor. Comput. Sci. 284(1): 25-51 (2002) - [c7]Shai Fine, George Saon
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. J. Mach. Learn. Res. 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
- [b1]Shai Fine:
Knowledge acquistion in statistical learning theory (רכישת מידע בתורת הלמידה הסטטיסטית.). Hebrew University of Jerusalem, Israel, 1999 - [c2]Ran Bachrach
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. Mach. Learn. 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
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last updated on 2024-10-07 22:23 CEST by the dblp team
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