Boaz Lerner

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 25

Top Topics

Latent Variable Models

Drift Detection

Top Venues

J. Mach. Learn. Res.

Publications

Issar Tzachor, Boaz Lerner, Matan Levy, Michael Green, Tal Berkovitz Shalev, Gavriel Habib, Dvir Samuel, Noam Korngut Zailer, Or Shimshi, Nir Darshan, Rami Ben-Ari
EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition. CoRR (2024)
Hanan Mann, Aharon Bar-Hillel, Raffi Lev-Tzion, Shira Greenfeld, Revital Kariv, Natan Lederman, Eran Matz, Iris Dotan, Dan Turner, Boaz Lerner
Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease. Artif. Intell. Medicine 145 (2023)
Boaz Lerner, Nir Darshan, Rami Ben-Ari
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback. CoRR (2023)
Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
SIGN: Statistical Inference Graphs Based on Probabilistic Network Activity Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
Inference Graphs for CNN Interpretation. CoRR (2021)
Shir Kashi, Ronit Feingold Polak, Boaz Lerner, Lior Rokach, Shelly Levy-Tzedek
A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Dan Halbersberg, Maydan Wienreb, Boaz Lerner
Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier. Mach. Learn. 109 (5) (2020)
Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
Inference Graphs for CNN Interpretation. ECCV (25) (2020)
Boaz Lerner, Guy Shiran, Daphna Weinshall
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering. CoRR (2020)
Ben Hadad, Boaz Lerner
Domain adaptation from clinical trials data to the tertiary care clinic - Application to ALS. ICMLA (2020)
Shon Mendelson, Boaz Lerner
Online Cluster Drift Detection for Novelty Detection in Data Streams. ICMLA (2020)
Dan Halbersberg, Boaz Lerner
Local to Global Learning of a Latent Dynamic Bayesian Network. ECAI (2020)
Dan Halbersberg, Aharon Bar-Hillel, Shon Mendelson, Daniel A. Koster, Lena Karol, Boaz Lerner
Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata. CoRR (2020)
Oded Zinman, Boaz Lerner
Utilizing digital traces of mobile phones for understanding social dynamics in urban areas. Pers. Ubiquitous Comput. 24 (4) (2020)
Eran Toch, Boaz Lerner, Eyal Ben Zion, Irad Ben-Gal
Analyzing large-scale human mobility data: a survey of machine learning methods and applications. Knowl. Inf. Syst. 58 (3) (2019)
Dan Halbersberg, Boaz Lerner
Temporal Modeling of Deterioration Patterns and Clustering for Disease Prediction of ALS Patients. ICMLA (2019)
Aviv Nahon, Boaz Lerner
Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithm. ESANN (2018)
Eyal Ben Zion, Boaz Lerner
Identifying and predicting social lifestyles in people's trajectories by neural networks. EPJ Data Sci. 7 (1) (2018)
Eyal Ben Zion, Boaz Lerner
Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns. ESANN (2017)
Nuaman Asbeh, Boaz Lerner
Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation. J. Mach. Learn. Res. 17 (2016)
Jonathan Gordon, Boaz Lerner
Exposing and modeling underlying mechanisms in ALS with machine learning. ICPR (2016)
Dan Halbersberg, Boaz Lerner
Learning a Bayesian Network Classifier by Jointly Maximizing Accuracy and Information. ECAI (2016)
Nuaman Asbeh, Boaz Lerner
Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview. J. Mach. Learn. Res. 17 (2016)
Faina Khoroshevsky, Boaz Lerner
Human Mobility-Pattern Discovery and Next-Place Prediction from GPS Data. MPRSS (2016)
Nuaman Asbeh, Boaz Lerner
Pairwise Cluster Comparison for Learning Latent Variable Models. CFA@UAI (2016)
Boaz Lerner, Michal Afek, Rafi Bojmel
Adaptive Thresholding in Structure Learning of a Bayesian Network. IJCAI (2013)
Nuaman Asbeh, Boaz Lerner
Learning Latent Variable Models by Pairwise Cluster Comparison. ACML (2012)
Roy Kelner, Boaz Lerner
Learning Bayesian network classifiers by risk minimization. Int. J. Approx. Reason. 53 (2) (2012)
Boaz Lerner, Roy Malka
Investigation of the K2 Algorithm in Learning Bayesian Network Classifiers. Appl. Artif. Intell. 25 (1) (2011)
Raanan Yehezkel, Boaz Lerner
Bayesian Network Structure Learning by Recursive Autonomy Identification. J. Mach. Learn. Res. 10 (2009)
Boaz Vigdor, Boaz Lerner
The Bayesian ARTMAP. IEEE Trans. Neural Networks 18 (6) (2007)
Boaz Lerner, Josepha Yeshaya, Lev Koushnir
On the Classification of a Small Imbalanced Cytogenetic Image Database. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (2) (2007)
Boaz Lerner, Lev Koushnir, Josepha Yeshaya
Segmentation and Classification of Dot and Non-Dot-Like Fluorescence in situ Hybridization Signals for Automated Detection of Cytogenetic Abnormalities. IEEE Trans. Inf. Technol. Biomed. 11 (4) (2007)
Boaz Lerner, Roy Malka
Learning Bayesian Networks for Cytogenetic Image Classification. ICPR (2) (2006)
Raanan Yehezkel, Boaz Lerner
Bayesian Network Structure Learning by Recursive Autonomy Identification. SSPR/SPR (2006)
Yaniv Gurwicz, Boaz Lerner
Bayesian Class-Matched Multinet Classifier. SSPR/SPR (2006)
Boaz Vigdor, Boaz Lerner
Accurate and Fast Off and Online Fuzzy ARTMAP-Based Image Classification With Application to Genetic Abnormality Diagnosis. IEEE Trans. Neural Networks 17 (5) (2006)
Boaz Lerner, Boaz Vigdor
Image Classification for Genetic Diagnosis using Fuzzy ARTMAP. ICPR (3) (2006)
Raanan Yehezkel, Boaz Lerner
Recursive Autonomy Identification for Bayesian Network Structure Learning. AISTATS (2005)
Yaniv Gurwicz, Boaz Lerner
Bayesian network classification using spline-approximated kernel density estimation. Pattern Recognit. Lett. 26 (11) (2005)
Amit David, Boaz Lerner
Support vector machine-based image classification for genetic syndrome diagnosis. Pattern Recognit. Lett. 26 (8) (2005)
Roy Malka, Boaz Lerner
Classification of fluorescence in situ hybridization images using belief networks. Pattern Recognit. Lett. 25 (16) (2004)
Boaz Lerner
Bayesian fluorescence in situ hybridisation signal classification. Artif. Intell. Medicine 30 (3) (2004)
Amit David, Boaz Lerner
Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis. ICPR (3) (2004)
Yaniv Gurwicz, Boaz Lerner
Rapid Spline-based Kernel Density Estimation for Bayesian Networks. ICPR (3) (2004)
Boaz Lerner, William F. Clocksin, Seema Dhanjal, Maj A. Hultén, Christopher M. Bishop
Feature representation and signal classification in fluorescence in-situ hybridization image analysis. IEEE Trans. Syst. Man Cybern. Part A 31 (6) (2001)
Boaz Lerner, Neil D. Lawrence
A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics. Neural Comput. Appl. 10 (1) (2001)
Boaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak Dinstein
On the Initialisation of Sammon's Nonlinear Mapping. Pattern Anal. Appl. 3 (1) (2000)
W. F. Clocksin, Boaz Lerner
Automatic Analysis of Fluorescence In-Situ Hybridisation Images. BMVC (2000)
Boaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak Dinstein
A comparative study of neural network based feature extraction paradigms. Pattern Recognit. Lett. 20 (1) (1999)
Boaz Lerner, Hugo Guterman, Its'hak Dinstein
A classification-driven partially occluded object segmentation (CPOOS) method with application to chromosome analysis. IEEE Trans. Signal Process. 46 (10) (1998)
Boaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak Dinstein, Yitzhak Romem
On pattern classification with Sammon's nonlinear mapping an experimental study. Pattern Recognit. 31 (4) (1998)
Boaz Lerner
Toward a completely automatic neural-network-based human chromosome analysis. IEEE Trans. Syst. Man Cybern. Part B 28 (4) (1998)
Boaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak Dinstein, Yitzhak Romem
Feature extraction by neural network nonlinear mapping for pattern classification. ICPR (1996)
Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem
Medial axis transform-based features and a neural network for human chromosome classification. Pattern Recognit. 28 (11) (1995)
Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem
Human chromosome classification using multilayer perceptron neural network. Int. J. Neural Syst. 6 (3) (1995)
Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem
Feature selection and learning curves of a multilayer perceptron chromosome classifier. ICPR (2) (1994)