G. Dror

发表

Hash Kernels

John Langford, Alexander J. Smola, S. V. N. Vishwanathan, 2009, AISTATS.

Result Analysis of the NIPS 2003 Feature Selection Challenge

Steve R. Gunn, Isabelle Guyon, Gideon Dror, 2004, NIPS.

Hash Kernels for Structured Data

John Langford, Alexander J. Smola, S. V. N. Vishwanathan, 2009, J. Mach. Learn. Res..

Upright orientation of man-made objects

D. Cohen-Or, G. Dror, Hongbo Fu, 2008, SIGGRAPH 2008.

Corresponding Author's Institution: Tel-Aviv University

E. Ruppin, I. Meilijson, D. Cohen-Or, 2022 .

Performance Prediction Challenge

I. Guyon, J. Buhmann, G. Dror, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Design and Analysis of the NIPS2003 Challenge

Steve R. Gunn, Isabelle Guyon, Gideon Dror, 2006, Feature Extraction.

Feature Selection Based on the Shapley Value

Eytan Ruppin, Shay B. Cohen, Gideon Dror, 2005, IJCAI.

Unsupervised and transfer learning challenge

David W. Aha, Isabelle Guyon, Vincent Lemaire, 2011, The 2011 International Joint Conference on Neural Networks.

The Yahoo! Music Dataset and KDD-Cup '11

Yehuda Koren, Markus Weimer, Gideon Dror, 2012, KDD Cup.

Large-scale learning of word relatedness with constraints

Evgeniy Gabrilovich, Yehuda Koren, Gideon Dror, 2012, KDD.

Model Selection: Beyond the Bayesian/Frequentist Divide

Isabelle Guyon, Gavin C. Cawley, Gideon Dror, 2010, J. Mach. Learn. Res..

Dynamic Proximity of Spatiotemporal Patterns

G. Dror, D. Horn, 2022 .

SlimPLS: A Method for Feature Selection in Gene Expression-Based Disease Classification

Ron Shamir, Gideon Dror, R. Shamir, 2009, PloS one.

Network-Induced Classi cation Kernels for Gene Expression Pro le Analysis

R. Shamir, G. Dror, Ofer Lavi, 2012 .

Flood forecasting with machine learning models in an operational framework pdf

Yossi Matias, Avinatan Hassidim, Gal Elidan, 2021, Hydrology and Earth System Sciences.

Design , Implementation , and Impact ofMulticast in the ParPar Control NetworkDavid

G. Dror, Er-El, Avi Kavas, 2007 .

On the rainbow connection number of graphs

Yehuda Roditty, Gideon Dror, Arieh Lev, 2017, Ars Comb..

Proceedings of the 2011 International Conference on KDD Cup 2011 - Volume 18

Isabelle Guyon, Marc Boullé, Gideon Dror, 2009 .

Network-induced Classification Kernels for Gene Expression Profile Analysis

Ron Shamir, Gideon Dror, Ofer Lavi, 2012 .

Data-driven enhancement of facial attractiveness

Dani Lischinski, Daniel Cohen-Or, Tommer Leyvand, 2008, ACM Trans. Graph..

I want to answer; who has a question?: Yahoo! answers recommender system

Idan Szpektor, Yehuda Koren, Yoelle Maarek, 2011, KDD.

Accurate identification of alternatively spliced exons using support vector machine

Ron Shamir, Gideon Dror, Rotem Sorek, 2005, Bioinform..

miRNAkey: a software for microRNA deep sequencing analysis

Eran Halperin, Gideon Dror, Noam Shomron, 2010, Bioinform..

Results of the Active Learning Challenge

Isabelle Guyon, Gavin C. Cawley, Vincent Lemaire, 2011, Active Learning and Experimental Design @ AISTATS.

Assessing the number of ancestral alternatively spliced exons in the human genome

R. Shamir, G. Dror, R. Sorek, 2006, BMC Genomics.

Performance Prediction Challenge

J. Buhmann, G. Dror, A. Alamdari, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Feature Selection via Coalitional Game Theory

Eytan Ruppin, Shay B. Cohen, Gideon Dror, 2007, Neural Computation.

Activity of coupled excitatory and inhibitory neural populations with dynamic synapses

Misha Tsodyks, Gideon Dror, M. Tsodyks, 2000, Neurocomputing.

Analysis and modeling of population dynamics in the visual cortex

Misha Tsodyks, Gideon Dror, M. Tsodyks, 1999, Neurocomputing.

Will My Question Be Answered? Predicting "Question Answerability" in Community Question-Answering Sites

Idan Szpektor, Yoelle Maarek, Gideon Dror, 2013, ECML/PKDD.

Chaos in neural networks with dynamic synapses

Misha Tsodyks, Gideon Dror, M. Tsodyks, 2000, Neurocomputing.

Classification of Moving Targets Based on Motion and Appearance

Ehud Rivlin, Michael Rudzsky, Gideon Dror, 2003, BMVC.

Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge

Isabelle Guyon, Gavin C. Cawley, Gideon Dror, 2008, Neural Networks.

Predicting web searcher satisfaction with existing community-based answers

Evgeniy Gabrilovich, Eugene Agichtein, Idan Szpektor, 2011, SIGIR.

Upright orientation of man-made objects

Daniel Cohen-Or, Alla Sheffer, Hongbo Fu, 2008, ACM Trans. Graph..

Web-Scale Media Recommendation Systems

Yehuda Koren, Gideon Dror, Noam Koenigstein, 2012, Proceedings of the IEEE.

Cross-modal distillation for flood extent mapping

Adi Gerzi Rosenthal, G. Dror, Varun Gulshan, 2023, Environmental Data Science.

A note: some results in step domination of trees

Yehuda Roditty, Gideon Dror, Arieh Lev, 2004, Discret. Math..

From query to question in one click: suggesting synthetic questions to searchers

Idan Szpektor, Yoelle Maarek, Gideon Dror, 2013, WWW.

Modeling attacks on physical unclonable functions

Srinivas Devadas, Frank Sehnke, Jan Sölter, 2010, CCS '10.

PUF Modeling Attacks on Simulated and Silicon Data

Srinivas Devadas, Frank Sehnke, Jan Sölter, 2013, IEEE Transactions on Information Forensics and Security.

Churn prediction in new users of Yahoo! answers

Idan Szpektor, Dan Pelleg, Gideon Dror, 2012, WWW.

Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy

Yehuda Koren, Gideon Dror, Noam Koenigstein, 2011, RecSys '11.

Is Pinocchio's Nose Long or His Head Small? Learning Shape Distances for Classification

Yaacov Ritov, Gideon Dror, Daniel Gill, 2007, ISVC.

Facial Attractiveness: Beauty and the Machine

Eytan Ruppin, Gideon Dror, Yael Eisenthal, 2006, Neural Computation.

Gene Expression of Caenorhabditis elegans Neurons Carries Information on Their Synaptic Connectivity

Isaac Meilijson, Eytan Ruppin, Gideon Dror, 2006, PLoS Comput. Biol..

Dynamic proximity of spatio-temporal sequences

Gideon Dror, David Horn, Brigitte Quenet, 2004, IEEE Transactions on Neural Networks.

Learning from the past: answering new questions with past answers

Idan Szpektor, Yoelle Maarek, Anna Shtok, 2012, WWW.

Identifying Developmental Dysgraphia Characteristics Utilizing Handwriting Classification Methods

Sara Rosenblum, Gideon Dror, G. Dror, 2017, IEEE Transactions on Human-Machine Systems.

Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database

Isabelle Guyon, Marc Boullé, Vincent Lemaire, 2009, SKDD.

Network-Induced Classification Kernels for Gene Expression Profile Analysis

G. Dror, Ofer Lavi, Ron Shamir, 2012, J. Comput. Biol..

Agnostic Learning vs. Prior Knowledge Challenge

G. Dror, G. Cawley, Amir Saffari, 2007, 2007 International Joint Conference on Neural Networks.

Recommendations : Modeling Music Ratings with Temporal Dynamics and Item Taxonomy

Y. Koren, G. Dror, Noam Koenigstein, 2011 .

Vertex reconstructing neural network at the ZEUS central tracking detector

G. Dror, E. Etzion, 2000, hep-ex/0011062.

ICML2011 Unsupervised and Transfer Learning Workshop

Isabelle Guyon, Daniel L. Silver, Vincent Lemaire, 2011, ICML Unsupervised and Transfer Learning.

Online Submission ID : 178 Data-Driven Enhancement of Facial Attractiveness

D. Cohen-Or, G. Dror, Tommer Leyvand, 2007 .

A Humanlike Predictor of Facial Attractiveness

Daniel Cohen-Or, Eytan Ruppin, Tommer Leyvand, 2006, NIPS.

Digital face beautification

Dani Lischinski, Daniel Cohen-Or, Tommer Leyvand, 2006, SIGGRAPH '06.

miRNAkey: a software for microRNA deep sequencing analysis

E. Halperin, G. Dror, N. Shomron, 2010, Bioinform..

Design and analysis of the WCCI 2010 active learning challenge

Isabelle Guyon, Gavin C. Cawley, Vincent Lemaire, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge

G. Dror, G. Cawley, Amir Saffari, 2008, Neural Networks.