Tomer Hertz

Email: the...@fhcrc.org
Phone: 206-667-2310

Publications

• Daphna Meroz, Sun-Woo Yoon, Marriette F. Ducatez, Thomas P. Fazrizio, Rihard J Webby, Tomer Hertz* Nir Ben-Tal, Putative amino acid determinants of the emergence of the 2009 influenza A (H1N1) virus in the human population. PNAS U S A. 2011;108(33):13522-7. PMCID: 3158228. PMCID: 3158228. (*corresponding author)
  PNAS editorial feature, Jerusalem Post article . Supp. material
• Tomer Hertz , David Nolan, Ian James, Mina John, Silvana Gaudieri, Elizabeth Phillips, Jim C Huang, Gonzalo Riadi, Simon Mallal and Nebojsa Jojic, Mapping the landscape of host-pathogen co-evolution: HLA class I binding and its relationship with evolutionary conservation in human and viral proteins. J Virol ,85(3):1310-21, 2011. PMCID: 3020499.
  Featured in MSR's 20th anniversary research connections


• Rubi Hammer, Tomer Hertz, Shaul Hochstein and Daphna Weinshall. Category Learning from Equivalence Constraints., Cognitive Processing, 10, 211-232, 2009.


• Dan Tsafrir, Tomer Hertz, Dilma Da Silva and David Wagner. Portably solving file races with hardness amplification, ACM Transactions on Storage (TOS), 4, 2008.


• R. Hammer, A. Bar-Hillel, T. Hertz, D. Weinshall and S. Hochstein. Comparison Processes in Category Learning: From Theory to Behavior, Brain Research, 2008.


• Vladimir Jojic, Tomer Hertz and Nebojsa Jojic. Population Sequencing Using Short Reads: HIV as a Case Study, Pacific Symposium on Biocomputing (PSB), 2008.


• Dan Tsafrir, Tomer Hertz, David Wagner and Dilma Da Silva. Portably Solving File TOCTTOU Races with Hardness Amplification, 6th USENIX Conference on File and Storage Technologies, 2008.


• Rubi Hammer, Tomer Hertz, Shaul Hochstein and Daphna Weinshall. Classification with Positive and Negative Equivalence onstraints: Theory, Computation and Human Experiments, BVAI, 264-276, 2007.


• Tomer Hertz and Chen Yanover. Identifying HLA Supertypes by Learning Distance Functions, European Conference on Computational Biology (ECCB), 2006.


• Tomer Hertz, Aharon Bar Hillel and Daphna Weinshall. Learning a kernel function for classification with small training samples, International Conference on Machine Learning (ICML), 2006.


• Tomer Hertz and Chen Yanover. PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions, BMC Bioinformatics, 7(Suppl 1):S3, 2006.


• Inna Weiner, Tomer Hertz, Israel Nelken and Daphna Weinshall. Analyzing Auditory Neurons by Learning Distance Functions, Advances in Neural Information Processing Systems (NIPS), 2005.


• Chen Yanover and Tomer Hertz. Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions, The Ninth Annual Conference on Research in Computational Biology (RECOMB), 2005.


• A. Bar-Hillel, T. Hertz and D. Weinshall. Object Class Recognition by Boosting a Part-Based Model, Conf. on Computer Vision and Pattern Recognition (CVPR), 2005.


• Aharon Bar-Hillel, Tomer Hertz, Noam Shental and Daphna Weinshall. Learning a Mahalanobis Metric from Equivalence Constraints, Journal of Machine Learning Research, 6, 937--965, 2005.


• A. Bar-Hillel, T. Hertz and D. Weinshall. Efficient learning of relational object class models, International Conference on Computer Vision (ICCV), 2005.


• R. Hammer, T. Hertz, S. Hochstein and D. Weinshall. Category Learning from Equivalence Constraints, XXVII Anuual Meeting of the Cognitive Science Society, Stresa Italy, 2005.


• Tomer Hertz, Aharon Bar-Hillel and Daphna Weinshall. Boosting Margin Based Distance Functions for Clustering, International Conference on Machine Learning (ICML), 2004.


• Tomer Hertz, Aharon Bar-Hillel and Daphna Weinshall. Learning Distance Functions for Image Retrieval, Conf. on Computer Vision and Pattern Recognition (CVPR), 2004.


• N. Shental, A. Zomet, T. Hertz and Y. Weiss. Pairwise clustering and graphical models, Advances in Neural Information Processing Systems (NIPS), 185--192, 2004.


• N. Shental, A. Bar-Hillel, T. Hertz and D. Weinshall. Computing Gaussian mixture models with EM using equivalence constraints, Advances in Neural Information Processing Systems (NIPS), 465--472, 2004.


• T. Hertz, N. Shental, A. Bar-Hillel and D. Weinshall. Enhancing image and video retrieval: learning via equivalence constraints, Conf. on Computer Vision and Pattern Recognition (CVPR), 668--674, 2003.


• Aharon Bar-Hillel, Tomer Hertz, Noam Shental and Daphna Weinshall. Learning distance functions using equivalence relations, International Conference on Machine Learning (ICML), 11--18, 2003.


• N. Shental, A. Zomet, T. Hertz and Y. Weiss. Learning and inferring image segmentations using the GBP Typical Cut, International Conference on Computer Vision (ICCV), 1243--1250, 2003.


• N. Shental, T. Hertz, D. Weinshall and M. Pavel. Adjustment learning and relevant component analysis, European Conf. on Computer Vision (ECCV), 2002.

Thesis