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ORCIDTomer Hertz
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Books and Theses
- 2006
[b1]Tomer Hertz:
Learning distance functions : algorithms and applications (למידת פונקציות מרחק.). Hebrew University of Jerusalem, Israel, 2006
Journal Articles
- 2020
- [j7]Maria Littmann
, Katharina Selig, Liel Cohen-Lavi, Yotam Frank, Peter Hönigschmid, Evans Kataka, Anja Mösch, Kun Qian, Avihai Ron, Sebastian Schmid, Adam Sorbie, Liran Szlak, Ayana Dagan-Wiener, Nir Ben-Tal, Masha Y. Niv, Daniel Razansky, Björn W. Schuller, Donna P. Ankerst, Tomer Hertz, Burkhard Rost:
Validity of machine learning in biology and medicine increased through collaborations across fields of expertise. Nat. Mach. Intell. 2(1): 18-24 (2020) - 2015
- [j6]Paul Thatcher Edlefsen, Morgane Rolland, Tomer Hertz, Sodsai Tovanabutra, Andrew J. Gartland, Allan C. deCamp, Craig A. Magaret, Hasan Ahmed, Raphael Gottardo, Michal Juraska, Connor McCoy, Brendan B. Larsen, Eric Sanders-Buell, Chris Carrico, Sergey Menis, Meera Bose, Miguel A. Arroyo, Robert J. O'Connell, Sorachai Nitayaphan, Punnee Pitisuttithum, Jaranit Kaewkungwal, Supachai Rerks-Ngarm, Merlin L. Robb, Tatsiana Kirys, Ivelin Georgiev, Peter D. Kwong, Konrad Scheffler, Sergei L. Kosakovsky Pond, Jonathan M. Carlson, Nelson Michael, William R. Schief, James I. Mullins, Jerome H. Kim, Peter B. Gilbert:
: Comprehensive Sieve Analysis of Breakthrough HIV-1 Sequences in the RV144 Vaccine Efficacy Trial. PLoS Comput. Biol. 11(2) (2015) - 2009
- [j5]Rubi Hammer, Tomer Hertz, Shaul Hochstein, Daphna Weinshall:
Category learning from equivalence constraints. Cogn. Process. 10(3): 211-232 (2009) - 2008
- [j4]Dan Tsafrir, Tomer Hertz, David A. Wagner, Dilma Da Silva:
Portably solving file races with hardness amplification. ACM Trans. Storage 4(3): 9:1-9:30 (2008) - 2007
- [j3]Tomer Hertz, Chen Yanover:
Identifying HLA supertypes by learning distance functions. Bioinform. 23(2): 148-155 (2007) - 2006
- [j2]Tomer Hertz, Chen Yanover:
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions. BMC Bioinform. 7(S-1) (2006) - 2005
- [j1]Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall:
Learning a Mahalanobis Metric from Equivalence Constraints. J. Mach. Learn. Res. 6: 937-965 (2005)
Conference and Workshop Papers
- 2011
- [c17]Dan He, Pratima Kunwar, Eleazar Eskin, Helen Horton, Peter B. Gilbert, Tomer Hertz:
Using HLA binding prediction algorithms for epitope mapping in HIV vaccine clinical trials. BCB 2011: 594-601 - 2008
- [c16]Dan Tsafrir, Tomer Hertz, David A. Wagner, Dilma Da Silva:
Portably Solving File TOCTTOU Races with Hardness Amplification. FAST 2008: 189-206 - [c15]Vladimir Jojic, Tomer Hertz, Nebojsa Jojic:
Population Sequencing Using Short Reads: HIV as a Case Study. Pacific Symposium on Biocomputing 2008: 114-125 - 2007
- [c14]Rubi Hammer, Tomer Hertz, Shaul Hochstein, Daphna Weinshall:
Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments. BVAI 2007: 264-276 - 2006
- [c13]Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall:
Learning a kernel function for classification with small training samples. ICML 2006: 401-408 - 2005
- [c12]Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall:
Object Class Recognition by Boosting a Part-Based Model. CVPR (1) 2005: 702-709 - [c11]Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall:
Efficient Learning of Relational Object Class Models. ICCV 2005: 1762-1769 - [c10]Inna Weiner, Tomer Hertz, Israel Nelken, Daphna Weinshall:
Analyzing Auditory Neurons by Learning Distance Functions. NIPS 2005: 1481-1488 - [c9]Chen Yanover, Tomer Hertz:
Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions. RECOMB 2005: 456-471 - 2004
- [c8]Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall:
Learning Distance Functions for Image Retrieval. CVPR (2) 2004: 570-577 - [c7]Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall:
Boosting margin based distance functions for clustering. ICML 2004 - 2003
- [c6]Tomer Hertz, Noam Shental, Aharon Bar-Hillel, Daphna Weinshall:
Enhancing Image and Video Retrieval: Learning via Equivalence Constraint. CVPR (2) 2003: 668-674 - [c5]Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss:
Learning and Inferring Image Segmentations using the GBP Typical Cut Algorithm. ICCV 2003: 1243-1250 - [c4]Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall:
Learning Distance Functions using Equivalence Relations. ICML 2003: 11-18 - [c3]Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss:
Pairwise Clustering and Graphical Models. NIPS 2003: 185-192 - [c2]Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall:
Computing Gaussian Mixture Models with EM Using Equivalence Constraints. NIPS 2003: 465-472 - 2002
- [c1]Noam Shental, Tomer Hertz, Daphna Weinshall, Misha Pavel:
Adjustment Learning and Relevant Component Analysis. ECCV (4) 2002: 776-792
Coauthor Index
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