Shai Fine

According to our database, Shai Fine authored at least 41 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Predicting Adolescent Suicide Risk From Cellphone Usage Data and Self-Report Assessments.

Maya Stemmer, Shira Barzilay, Itamar Efrati, Talia Friedman, Lior Carmi, Mishael Zohar, Anat Brunstein Klomek, Alan Apter, Shai Fine

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

DiaSet: An Annotated Dataset of Arabic Conversations.

Abraham Israeli, Aviv Naaman, Guy Maduel, Rawaa Makhoul, Dana Qaraeen, Amir Ejmail, Dina Lisnanskey, Julian Jubran, Shai Fine, Kfir Bar

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Variational Inference via Rényi Bound Optimization and Multiple-Source Adaptation.

Dana Zalman (Oshri), Shai Fine

Entropy, October, 2023

Multiple-Source Adaptation Using Variational Rényi Bound Optimization.

Dana Oshri Zalman, Shai Fine

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

MoEAtt: A Deep Mixture of Experts Model using Attention-based Routing Gate.

Gal Blecher, Shai Fine

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Variational Inference via Rényi Upper-Lower Bound Optimization.

Dana Oshri Zalman, Shai Fine

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

The IDC System for Sentiment Classification and Sarcasm Detection in Arabic.

Abraham Israeli, Yotam Nahum, Shai Fine, Kfir Bar

Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021

Pairwise Margin Maximization for Deep Neural Networks.

Berry Weinstein, Shai Fine, Yacov Hel-Or

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Discrete Latent Variables Discovery and Structure Learning in Mixed Bayesian Networks.

Aviv Peled, Shai Fine

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Margin-Based Regularization and Selective Sampling in Deep Neural Networks.

Berry Weinstein, Shai Fine, Yacov Hel-Or

CoRR, 2020

2019

Selective sampling for accelerating training of deep neural networks.

Berry Weinstein, Shai Fine, Yacov Hel-Or

CoRR, 2019

2018

Characterizing patient compliance over six months in remote digital trials of Parkinson's and Huntington disease.

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

BMC Medical Informatics Decis. Mak., 2018

Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks.

Lena Granovsky, Gabi Shalev, Nancy Yacovzada, Yotam Frank, Shai Fine

CoRR, 2018

On the Blindspots of Convolutional Networks.

Elad Hoffer, Shai Fine, Daniel Soudry

CoRR, 2018

2012

Distributed Learning, Communication Complexity and Privacy.

Maria-Florina Balcan, Avrim Blum, Shai Fine, Yishay Mansour

Proceedings of the COLT 2012, 2012

2011

Automatic boosting of cross-product coverage using Bayesian networks.

Dorit Baras, Shai Fine, Laurent Fournier, Dan Geiger, Avi Ziv

Int. J. Softw. Tools Technol. Transf., 2011

Smarter log analysis.

Ehud Aharoni, Shai Fine, Yaara Goldschmidt, Ofer Lavi, Oded Margalit, Michal Rosen-Zvi, Lavi Shpigelman

IBM J. Res. Dev., 2011

2009

Using Bayesian networks and virtual coverage to hit hard-to-reach events.

Shai Fine, Laurent Fournier, Avi Ziv

Int. J. Softw. Tools Technol. Transf., 2009

2008

A probabilistic alternative to regression suites.

Shady Copty, Shai Fine, Shmuel Ur, Elad Yom-Tov, Avi Ziv

Theor. Comput. Sci., 2008

A Theory-Based Decision Heuristic for DPLL(T).

Dan Goldwasser, Ofer Strichman, Shai Fine

Proceedings of the Formal Methods in Computer-Aided Design, 2008

2007

Active sampling for multiple output identification.

Shai Fine, Yishay Mansour

Mach. Learn., 2007

2006

Harnessing Machine Learning to Improve the Success Rate of Stimuli Generation.

Shai Fine, Ari Freund, Itai Jaeger, Yishay Mansour, Yehuda Naveh, Avi Ziv

IEEE Trans. Computers, 2006

Combining Multiple Heuristics.

Tzur Sayag, Shai Fine, Yishay Mansour

Proceedings of the STACS 2006, 2006

2005

Juru at TREC 2005: Query Prediction in the Terabyte and the Robust Tracks.

Elad Yom-Tov, David Carmel, Adam Darlow, Dan Pelleg, Shai Errera-Yaakov, Shai Fine

Proceedings of the Fourteenth Text REtrieval Conference, 2005

Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval.

Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

2004

Juru at TREC 2004: Experiments with Prediction of Query Difficulty.

Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow, Einat Amitay

Proceedings of the Thirteenth Text REtrieval Conference, 2004

Probabilistic Alternative Regression Suites.

Shady Copty, Shai Fine, Shmuel Ur, Avi Ziv

Proceedings of the International Symposium on Leveraging Applications of Formal Methods, 2004

Enhancing the efficiency of Bayesian network based coverage directed test generation.

Markus Braun, Shai Fine, Avi Ziv

Proceedings of the Ninth IEEE International High-Level Design Validation and Test Workshop 2004, 2004

Probabilistic regression suites for functional verification.

Shai Fine, Shmuel Ur, Avi Ziv

Proceedings of the 41th Design Automation Conference, 2004

2003

Discriminative Feature Selection via Multiclass Variable Memory Markov Model.

Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby

EURASIP J. Adv. Signal Process., 2003

Enhancing the control and efficiency of the covering process [logic verification].

Shai Fine, Avi Ziv

Proceedings of the Eighth IEEE International High-Level Design Validation and Test Workshop 2003, 2003

Coverage directed test generation for functional verification using bayesian networks.

Shai Fine, Avi Ziv

Proceedings of the 40th Design Automation Conference, 2003

2002

Query by committee, linear separation and random walks.

Shai Fine, Ran Gilad-Bachrach, Eli Shamir

Theor. Comput. Sci., 2002

Digit recognition in noisy environments via a sequential GMM/SVM system.

Shai Fine, George Saon, Ramesh A. Gopinath

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Efficient SVM Training Using Low-Rank Kernel Representations.

Shai Fine, Katya Scheinberg

J. Mach. Learn. Res., 2001

Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM.

Shai Fine, Katya Scheinberg

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Enhancing GMM scores using SVM "hints".

Shai Fine, Jirí Navrátil, Ramesh A. Gopinath

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

A hybrid GMM/SVM approach to speaker identification.

Shai Fine, Jirí Navrátil, Ramesh A. Gopinath

Proceedings of the IEEE International Conference on Acoustics, 2001

1999

Knowledge acquistion in statistical learning theory (רכישת מידע בתורת הלמידה הסטטיסטית.).

Shai Fine

PhD thesis, 1999

1998

The Hierarchical Hidden Markov Model: Analysis and Applications.

Shai Fine, Yoram Singer, Naftali Tishby

Mach. Learn., 1998

1997

Agnostic Classification of Markovian Sequences.

Ran El-Yaniv, Shai Fine, Naftali Tishby

Proceedings of the Advances in Neural Information Processing Systems 10, 1997