Shai Fine

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 15

Top Topics

Selective Sampling

Structure Learning

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

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)
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)
Gal Blecher, Shai Fine
MoEAtt: A Deep Mixture of Experts Model using Attention-based Routing Gate. ICMLA (2023)
Dana Zalman (Oshri), Shai Fine
Variational Inference via Rényi Bound Optimization and Multiple-Source Adaptation. Entropy 25 (10) (2023)
Dana Oshri Zalman, Shai Fine
Multiple-Source Adaptation Using Variational Rényi Bound Optimization. ECML/PKDD (5) (2023)
Dana Oshri Zalman, Shai Fine
Variational Inference via Rényi Upper-Lower Bound Optimization. ICMLA (2022)
Berry Weinstein, Shai Fine, Yacov Hel-Or
Pairwise Margin Maximization for Deep Neural Networks. ICMLA (2021)
Abraham Israeli, Yotam Nahum, Shai Fine, Kfir Bar
The IDC System for Sentiment Classification and Sarcasm Detection in Arabic. WANLP (2021)
Berry Weinstein, Shai Fine, Yacov Hel-Or
Pairwise Margin Maximization for Deep Neural Networks. CoRR (2021)
Aviv Peled, Shai Fine
Discrete Latent Variables Discovery and Structure Learning in Mixed Bayesian Networks. ICMLA (2021)
Berry Weinstein, Shai Fine, Yacov Hel-Or
Margin-Based Regularization and Selective Sampling in Deep Neural Networks. CoRR (2020)
Berry Weinstein, Shai Fine, Yacov Hel-Or
Selective sampling for accelerating training of deep neural networks. CoRR (2019)
Lena Granovsky, Gabi Shalev, Nancy Yacovzada, Yotam Frank, Shai Fine
Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks. CoRR (2018)
Shani Cohen, Zeev Waks, Jordan J. Elm, Mark Forrest Gordon, Igor D. Grachev, Leehee Navon-Perry, Shai Fine, Iris Grossman, Spyros Papapetropoulos, Juha-Matti Savola
Characterizing patient compliance over six months in remote digital trials of Parkinson's and Huntington disease. BMC Medical Informatics Decis. Mak. 18 (1) (2018)
Elad Hoffer, Shai Fine, Daniel Soudry
On the Blindspots of Convolutional Networks. CoRR (2018)
Maria-Florina Balcan, Avrim Blum, Shai Fine, Yishay Mansour
Distributed Learning, Communication Complexity and Privacy. COLT (2012)
Maria-Florina Balcan, Avrim Blum, Shai Fine, Yishay Mansour
Distributed Learning, Communication Complexity and Privacy CoRR (2012)
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) (2011)
Ehud Aharoni, Shai Fine, Yaara Goldschmidt, Ofer Lavi, Oded Margalit, Michal Rosen-Zvi, Lavi Shpigelman
Smarter log analysis. IBM J. Res. Dev. 55 (5) (2011)
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) (2009)
Shady Copty, Shai Fine, Shmuel Ur, Elad Yom-Tov, Avi Ziv
A probabilistic alternative to regression suites. Theor. Comput. Sci. 404 (3) (2008)
Dan Goldwasser, Ofer Strichman, Shai Fine
A Theory-Based Decision Heuristic for DPLL(T). FMCAD (2008)
Shai Fine, Yishay Mansour
Active sampling for multiple output identification. Mach. Learn. 69 (2-3) (2007)
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) (2006)
Shai Fine, Yishay Mansour
Active Sampling for Multiple Output Identification. COLT (2006)
Tzur Sayag, Shai Fine, Yishay Mansour
Combining Multiple Heuristics. STACS (2006)
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)
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)
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)
Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow, Einat Amitay
Juru at TREC 2004: Experiments with Prediction of Query Difficulty. TREC (2004)
Shai Fine, Shmuel Ur, Avi Ziv
Probabilistic regression suites for functional verification. DAC (2004)
Markus Braun, Shai Fine, Avi Ziv
Enhancing the efficiency of Bayesian network based coverage directed test generation. HLDVT (2004)
Shady Copty, Shai Fine, Shmuel Ur, Avi Ziv
Probabilistic Alternative Regression Suites. ISoLA (Preliminary proceedings) (2004)
Shai Fine, Avi Ziv
Coverage directed test generation for functional verification using bayesian networks. DAC (2003)
Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby
Discriminative Feature Selection via Multiclass Variable Memory Markov Model. EURASIP J. Adv. Signal Process. 2003 (2) (2003)
Shai Fine, Avi Ziv
Enhancing the control and efficiency of the covering process [logic verification]. HLDVT (2003)
Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby
Discriminative Feature Selection via Multiclass Variable Memory Markov Model. ICML (2002)
Shai Fine, George Saon, Ramesh A. Gopinath
Digit recognition in noisy environments via a sequential GMM/SVM system. ICASSP (2002)
Shai Fine, Ran Gilad-Bachrach, Eli Shamir
Query by committee, linear separation and random walks. Theor. Comput. Sci. 284 (1) (2002)
Shai Fine, Katya Scheinberg
Efficient SVM Training Using Low-Rank Kernel Representations. J. Mach. Learn. Res. 2 (2001)
Shai Fine, Katya Scheinberg
Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM. NIPS (2001)
Shai Fine, Jirí Navrátil, Ramesh A. Gopinath
A hybrid GMM/SVM approach to speaker identification. ICASSP (2001)
Shai Fine, Jirí Navrátil, Ramesh A. Gopinath
Enhancing GMM scores using SVM "hints". INTERSPEECH (2001)
Ran Bachrach, Shai Fine, Eli Shamir
Query by Committee, Linear Separation and Random Walks. EuroCOLT (1999)
Shai Fine, Yoram Singer, Naftali Tishby
The Hierarchical Hidden Markov Model: Analysis and Applications. Mach. Learn. 32 (1) (1998)
Ran El-Yaniv, Shai Fine, Naftali Tishby
Agnostic Classification of Markovian Sequences. NIPS (1997)