Publications, recent and not so recent

• Hash kernels
  Q. Shi, J. Paterson, G. Dror, A. Smola, J. Langford(2008)
  Accepted to AISTATS 2009.
• Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
  I. Guyon, A. Saffari, G. Dror and G. Cawley (2008),
  Neural Networks 21(2) 544-550.
• A Machine Learning Predictor of Facial Attractiveness Revealing Human-like Psychophysical Biases
  A. Kagian, G. Dror, T. Leyvand, D. CohenOr, E. Ruppin (2008),
  Vision Research 48 235-243.
  
• Upright orientation of man-made objects
  H. Fu, G. Dror, E. Sheffer, D. Cohen Or
  ACM SIGGRAPH 2008.
• Data-Driven Enhancement of Facial Attractiveness
  T. Leyvand, G. Dror, D. Cohen-Or, D. Lischinski
  ACM SIGGRAPH 2008.
• Is Pinocchio’s Nose Long or His Head Small? Learning Shape Distances for Classification
  D. Gill, Y. Ritov, G. Dror (2007)
  Best paper award at ISVC 2007.
• The Genetic Properties of Neurons Carry Significant Information on their Synaptic Connectivity in the C. elegans Nervous System
  A. Kaufman, G. Dror, E. Ruppin, Isaac Malechson (2006)
  PLOS Computational Biology 122, e167, doi:10.1371.
• Benchmark datasets and game result summary, presented at the Multi-level Inference workshop
  I. Guyon, A. Saffari, G. Dror, G. Cawley, O. Guyon , (2006)
  presented at the Multi-level Inference workshop, NIPS2006.
• A Humanlike Predictor of Facial Attractiveness A. Kagian, G. Dror, T. Leyvand, D. Cohen Or, E. Ruppin, (2006)
  Presented at NIPS2006.
• Playing the Game of Feature Selection
  S. Cohen, G. Dror, E. Ruppin (2006)
  Neural Computation 19, 1939-1961.
• Assessing the fraction of alternatively spliced exons in the human genome
  R. Sorek, G. Dror, R. Shamir (2006)
  BMC Genomics 7, 273.
• Facial Attractiveness: Beauty and the Machine
  Yael Eisenthal, Gideon Dror, Eytan Ruppin (2006)
  Neural Computation 18(1), 119 - 142.
• Accurate Identification of Alternatively Spliced Exons using Support Vector Machine.
  Gideon Dror, Rotem Sorek, Ron Shamir (2005)
  Bioinformatics, 21(7), 897-901.
• A note: Some results in step domination of trees.
  Gideon Dror, Arieh Lev, Yehuda Roditty (2004)
  Discrete Mathematics 289 137-144.
• Using a neural network approach for muon reconstruction triggering
  Erez Etzion, Halina Abramowicz, Yan Benhammou, Gideon Dror, David Horn, Lorne Levinson, Ran Livneh (2004)
  Nuclear Instruments and Methods in Physics Research, A217, 265, 223.
• Dynamic Proximity of Spatiotemporal Sequences - extended version
  David Horn, Gideon Dror, Brigitte Quenet (2004)
  IEEE trans. on neural networks 15, 1002 .
• Analysis of Spatiotemporal Patterns in a Model of Olfaction.
  Orit Kliper, David Horn, Brigitte Quenet, Gideon Dror (2004)
  Neurocomputing, 58-60 1027-1032.
• Modeling Neural Spatiotemporal Behavior.
  David Horn, Brigitte Quenet, Gideon Dror, Orit Kliper (2003)
  Neurocomputing, 52-54, 799-804.
• Dynamic Proximity of Spatiotemporal Patterns
  David Horn, Gideon Dror, Brigitte Quenet (2003)
  presented at IJCNN03.
• Classification of Moving Targets Based on Motion and Appearance
  U.Bogomolov, G.Dror, S.Lepchev, E.Rivlin, M. Rudzsky (2003)
  Machine Vision and Applications
• Vertex Reconstructing Neural Network at the ZEUS Central Tracking Detector
  Gideon Dror, Erez Etzion (2000)
  Presented at ACAT2000 .
• Momentum Reconstruction and Triggering in the ATLAS Detector
  Gideon Dror, Erez Etzion (2000)
  Presented at ACAT2000.
• Chaos in neural networks with dynamic synapses
  Gideon Dror, Misha Tsodyks (2000)
  Neurocomputing 32-33, 365-370.
• Activity of coupled excitatory and inhibitory neural populations with dynamic synapses.
  Gideon Dror, Misha Tsodyks (2000)
  Neurocomputing 32-33, 359-364.
• Vertex reconstruction of ep interactions with the ZEUS Central Tracking Detector.
  Gideon Dror, Halina Abramowicz and David Horn
  presented at AIHENP99.
• Momentum reconstruction of particles in the forward muon trigger system of the ATLAS detector.
  Gideon Dror, Halina Abramowicz and David Horn (2000)
  presented at AIHENP99.
  
• Analysis and modeling of population dynamics in the visual cortex.
  Gideon Dror, Misha Tsodyks
  Neurocomputing 26-27, (1999) 361-366.
• Vertex identification in high energy physics experiments.
  Gideon Dror, Halina Abramovicz,David Horn (1998)
  The proceedings of NIPS98.

Books

• Design and Analysis of the NIPS2003 Challenge (I. Guyon, S. Gunn, A. Ben Hur, and G. Dror) in Feature Extraction: Foundations and Applications Eds. I. Guyon, S. Gunn, M. Nikravesh, L. Zadeh, Springer Verlag.

Older Publications - High Energy Physics

Notice that on the following publication, I published under the name 'Lana'.

• Cluster algorithm for vertex models
  H.G. Evertz, G. Lana and M. Marcu
  Phys. Rev. Lett. 70: 875, 1993.
• Instability of bubbles near the hadron quark-gluon-plasma phase transition
  G. Lana and B. Svetitsky
  in B. Muller and M. Fried editors, Proceedings of the workshop on QCD vacuum structure and its applications, 1993.
• Instability of bubbles in the quark-gluon-plasma
  G. Lana and B. Svetitsky
  Phys. Rev. Lett. B 285,251, 1992.
• Cluster algorithm for a solid-on-solid model with constraints
  M. Hasenbuch, G. Lana, M. Marcu and K. Pinn
  Phys. Rev. B 285:251, 1992.
• t-Expansion Calculation of the SU(3) Axial and Tensor Glueballs
  D. Horn and G. Lana
  Phys. Rev. D44, 2846, 1991.
• Masses in Periodic QED
  G. Lana
  Phys. Rev. D38, 1954, 1988.
• Scaling in Periodic QED
  D. Horn, G. Lana and D. Schreiber
  Phys. Rev. D36, 3218, 1988.

gideon dror