Learning with Equivalence Constraints and the Relation to Multiclass Learning. - Aharon Bar-Hillel; Daphna Weinshall (COLT, 2003)

Enhancing Image and Video Retrieval: Learning via Equivalence Constraint. - Tomer Hertz; Noam Shental; Aharon Bar-Hillel; Daphna Weinshall (CVPR (2), 2003)

Learning Distance Functions using Equivalence Relations. - Aharon Bar-Hillel; Tomer Hertz; Noam Shental; Daphna Weinshall (ICML, 2003)

Computing Gaussian Mixture Models with EM Using Equivalence Constraints. - Noam Shental; Aharon Bar-Hillel; Tomer Hertz; Daphna Weinshall (NIPS, 2003)

Learning Distance Functions for Image Retrieval. - Tomer Hertz; Aharon Bar-Hillel; Daphna Weinshall (CVPR (2), 2004)

Boosting margin based distance functions for clustering. - Tomer Hertz; Aharon Bar-Hillel; Daphna Weinshall (ICML, 2004)

Spike Sorting: Bayesian Clustering of Non-Stationary Data. - Aharon Bar-Hillel; Adam Spiro; Eran Stark (NIPS, 2004)

Object Class Recognition by Boosting a Part-Based Model. - Aharon Bar-Hillel; Tomer Hertz; Daphna Weinshall (CVPR (1), 2005)

Efficient Learning of Relational Object Class Models. - Aharon Bar-Hillel; Tomer Hertz; Daphna Weinshall (ICCV, 2005)

Learning a Mahalanobis Metric from Equivalence Constraints. - Aharon Bar-Hillel; Tomer Hertz; Noam Shental; Daphna Weinshall (J. Mach. Learn. Res., 2005)

Learning a kernel function for classification with small training samples. - Tomer Hertz; Aharon Bar-Hillel; Daphna Weinshall (ICML, 2006)

Subordinate class recognition using relational object models. - Aharon Bar-Hillel; Daphna Weinshall (NIPS, 2006)

Learning from weak representations using distance functions and generative models (למידה מיצוגים חלשים באמצעות פונקציות מרחק ומודלים גנרטיביים.). - Aharon Bar-Hillel (2006)

Learning distance function by coding similarity. - Aharon Bar-Hillel; Daphna Weinshall (ICML, 2007)

Workstation capacity tuning using reinforcement learning. - Aharon Bar-Hillel; Amir Di-Nur; Liat Ein-Dor; Ran Gilad-Bachrach; Yossi Ittach (SC, 2007)

Efficient Learning of Relational Object Class Models. - Aharon Bar-Hillel; Daphna Weinshall (Int. J. Comput. Vis., 2008)

Efficient human computation: the distributed labeling problem. - Ran Gilad-Bachrach; Aharon Bar-Hillel; Liat Ein-Dor (KDD Workshop on Human Computation, 2009)

Efficient Human Computation - Ran Gilad-Bachrach; Aharon Bar-Hillel; Liat Ein-Dor (CoRR, 2009)

Part-Based Feature Synthesis for Human Detection. - Aharon Bar-Hillel; Dan Levi; Eyal Krupka; Chen Goldberg (ECCV (4), 2010)

Fusing visual and range imaging for object class recognition. - Aharon Bar-Hillel; Dmitri Hanukaev; Dan Levi (ICCV, 2011)

Off-vehicle evaluation of camera-based pedestrian detection. - Yaniv Alon; Aharon Bar-Hillel (Intelligent Vehicles Symposium, 2012)

Real-time pedestrian detection with deformable part models. - Hyunggi Cho; Paul E. Rybski; Aharon Bar-Hillel; Wende Zhang (Intelligent Vehicles Symposium, 2012)

Fast Multiple-Part Based Object Detection Using KD-Ferns. - Dan Levi; Shai Silberstein; Aharon Bar-Hillel (CVPR, 2013)

Effective Model Representation by Information Bottleneck Principle. - Ron M. Hecht; Elad Noor; Gil Dobry; Yaniv Zigel; Aharon Bar-Hillel; Naftali Tishby (IEEE Trans. Speech Audio Process., 2013)

Discriminative Ferns Ensemble for Hand Pose Recognition. - Eyal Krupka; Alon Vinnikov; Ben Klein; Aharon Bar-Hillel; Daniel Freedman; Simon Stachniak (CVPR, 2014)

Extended Lucas-Kanade Tracking. - Shaul Oron; Aharon Bar-Hillel; Shai Avidan (ECCV (5), 2014)

Recent progress in road and lane detection: a survey. - Aharon Bar-Hillel; Ronen Lerner; Dan Levi; Guy Raz (Mach. Vis. Appl., 2014)

Cognitive workload and vocabulary sparseness: theory and practice. - Ron M. Hecht; Aharon Bar-Hillel; Stas Tiomkin; Hadar Levi; Omer Tsimhoni; Naftali Tishby (INTERSPEECH, 2015)

Locally Orderless Tracking. - Shaul Oron; Aharon Bar-Hillel; Dan Levi; Shai Avidan (Int. J. Comput. Vis., 2015)

Real-time tracking-with-detection for coping with viewpoint change. - Shaul Oron; Aharon Bar-Hillel; Shai Avidan (Mach. Vis. Appl., 2015)

Convolutional Tables Ensemble: classification in microseconds. - Aharon Bar-Hillel; Eyal Krupka; Noam Bloom (CoRR, 2016)

Toward Realistic Hands Gesture Interface: Keeping it Simple for Developers and Machines. - Eyal Krupka; Kfir Karmon; Noam Bloom; Daniel Freedman; Ilya Gurvich; Aviv Hurvitz; Ido Leichter; Yoni Smolin; Yuval Tzairi; Alon Vinnikov; Aharon Bar-Hillel (CHI, 2017)

Leaf counting: Multiple scale regression and detection using deep CNNs. - Yotam Itzhaky; Guy Farjon; Faina Khoroshevsky; Alon Shpigler; Aharon Bar-Hillel (BMVC, 2018)

Input-Dependably Feature-Map Pruning. - Atalya Waissman; Aharon Bar-Hillel (ICANN (1), 2018)

Learning a High-Precision Robotic Assembly Task Using Pose Estimation from Simulated Depth Images. - Yuval Litvak; Armin Biess; Aharon Bar-Hillel (CoRR, 2018)

Information Constrained Control for Visual Detection of Important Areas. - Ron M. Hecht; Ariel Telpaz; Gila Kamhi; Aharon Bar-Hillel; Naftali Tishby (ICASSP, 2019)

Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images. - Yuval Litvak; Armin Biess; Aharon Bar-Hillel (ICRA, 2019)

Information Constrained Control Analysis of Eye Gaze Distribution Under Workload. - Ron M. Hecht; Aharon Bar-Hillel; Ariel Telpaz; Omer Tsimhoni; Naftali Tishby (IEEE Trans. Hum. Mach. Syst., 2019)

Modeling the Effect of Driver's Eye Gaze Pattern Under Workload: Gaussian Mixture Approach. - Ron M. Hecht; Ariel Telpaz; Gila Kamhi; Omer Tsimhoni; Aharon Bar-Hillel; Naftali Tishby (CogSci, 2020)

Phenotyping Problems of Parts-per-Object Count. - Faina Khoroshevsky; Stanislav Khoroshevsky; Oshry Markovich; Orit Granitz; Aharon Bar-Hillel (ECCV Workshops (6), 2020)

Inference Graphs for CNN Interpretation. - Yael Konforti; Alon Shpigler; Boaz Lerner; Aharon Bar-Hillel (ECCV (25), 2020)

Detection in Agricultural Contexts: Are We Close to Human Level? - Omer Wosner; Guy Farjon; Faina Khoroshevsky; Lena Karol; Oshry Markovich; Daniel A. Koster; Aharon Bar-Hillel (ECCV Workshops (6), 2020)

Length phenotyping with interest point detection. - Adar Vit; Guy Shani; Aharon Bar-Hillel (Comput. Electron. Agric., 2020)

Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata. - Dan Halbersberg; Aharon Bar-Hillel; Shon Mendelson; Daniel A. Koster; Lena Karol; Boaz Lerner (CoRR, 2020)

Object detection in agricultural contexts: A multiple resolution benchmark and comparison to human. - Omer Wosner; Guy Farjon; Aharon Bar-Hillel (Comput. Electron. Agric., 2021)

Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems via a Single Deep Neural Network. - Faina Khoroshevsky; Stanislav Khoroshevsky; Aharon Bar-Hillel (Remote. Sens., 2021)

Sparse Hierarchical Table Ensemble-A Deep Learning Alternative for Tabular Data. - Guy Farjon; Aharon Bar-Hillel (IEEE Access, 2022)

SIGN: Statistical Inference Graphs Based on Probabilistic Network Activity Interpretation. - Yael Konforti; Alon Shpigler; Boaz Lerner; Aharon Bar-Hillel (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease. - Hanan Mann; Aharon Bar-Hillel; Raffi Lev-Tzion; Shira Greenfeld; Revital Kariv; Natan Lederman; Eran Matz; Iris Dotan; Dan Turner; Boaz Lerner (Artif. Intell. Medicine, 2023)

A CNN-based framework for estimation of root length, diameter, and color from in situ minirhizotron images. - Faina Khoroshevsky; Kaining Zhou; Aharon Bar-Hillel; Ofer Hadar; Shimon Rachmilevitch; Jhonathan E. Ephrath; Naftali Lazarovitch; Yael Edan (Comput. Electron. Agric., 2024)

Deep Convolutional Tables: Deep Learning Without Convolutions. - Shay Dekel; Yosi Keller; Aharon Bar-Hillel (IEEE Trans. Neural Networks Learn. Syst., 2024)