Feature selection and learning curves of a multilayer perceptron chromosome classifier. - Boaz Lerner; Hugo Guterman; Its'hak Dinstein; Yitzhak Romem (ICPR (2), 1994)

Human chromosome classification using multilayer perceptron neural network. - Boaz Lerner; Hugo Guterman; Its'hak Dinstein; Yitzhak Romem (Int. J. Neural Syst., 1995)

Medial axis transform-based features and a neural network for human chromosome classification. - Boaz Lerner; Hugo Guterman; Its'hak Dinstein; Yitzhak Romem (Pattern Recognit., 1995)

Feature extraction by neural network nonlinear mapping for pattern classification. - Boaz Lerner; Hugo Guterman; Mayer E. Aladjem; Its'hak Dinstein; Yitzhak Romem (ICPR, 1996)

On pattern classification with Sammon's nonlinear mapping an experimental study. - Boaz Lerner; Hugo Guterman; Mayer E. Aladjem; Its'hak Dinstein; Yitzhak Romem (Pattern Recognit., 1998)

Toward a completely automatic neural-network-based human chromosome analysis. - Boaz Lerner (IEEE Trans. Syst. Man Cybern. Part B, 1998)

A classification-driven partially occluded object segmentation (CPOOS) method with application to chromosome analysis. - Boaz Lerner; Hugo Guterman; Its'hak Dinstein (IEEE Trans. Signal Process., 1998)

A comparative study of neural network based feature extraction paradigms. - Boaz Lerner; Hugo Guterman; Mayer E. Aladjem; Its'hak Dinstein (Pattern Recognit. Lett., 1999)

Automatic Analysis of Fluorescence In-Situ Hybridisation Images. - W. F. Clocksin; Boaz Lerner (BMVC, 2000)

On the Initialisation of Sammon's Nonlinear Mapping. - Boaz Lerner; Hugo Guterman; Mayer E. Aladjem; Its'hak Dinstein (Pattern Anal. Appl., 2000)

A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics. - Boaz Lerner; Neil D. Lawrence (Neural Comput. Appl., 2001)

Feature representation and signal classification in fluorescence in-situ hybridization image analysis. - Boaz Lerner; William F. Clocksin; Seema Dhanjal; Maj A. Hultén; Christopher M. Bishop (IEEE Trans. Syst. Man Cybern. Part A, 2001)

Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis. - Amit David; Boaz Lerner (ICPR (3), 2004)

Rapid Spline-based Kernel Density Estimation for Bayesian Networks. - Yaniv Gurwicz; Boaz Lerner (ICPR (3), 2004)

Bayesian fluorescence in situ hybridisation signal classification. - Boaz Lerner (Artif. Intell. Medicine, 2004)

Classification of fluorescence in situ hybridization images using belief networks. - Roy Malka; Boaz Lerner (Pattern Recognit. Lett., 2004)

Recursive Autonomy Identification for Bayesian Network Structure Learning. - Raanan Yehezkel; Boaz Lerner (AISTATS, 2005)

Support vector machine-based image classification for genetic syndrome diagnosis. - Amit David; Boaz Lerner (Pattern Recognit. Lett., 2005)

Bayesian network classification using spline-approximated kernel density estimation. - Yaniv Gurwicz; Boaz Lerner (Pattern Recognit. Lett., 2005)

Learning Bayesian Networks for Cytogenetic Image Classification. - Boaz Lerner; Roy Malka (ICPR (2), 2006)

Image Classification for Genetic Diagnosis using Fuzzy ARTMAP. - Boaz Lerner; Boaz Vigdor (ICPR (3), 2006)

Bayesian Class-Matched Multinet Classifier. - Yaniv Gurwicz; Boaz Lerner (SSPR/SPR, 2006)

Accurate and Fast Off and Online Fuzzy ARTMAP-Based Image Classification With Application to Genetic Abnormality Diagnosis. - Boaz Vigdor; Boaz Lerner (IEEE Trans. Neural Networks, 2006)

On the Classification of a Small Imbalanced Cytogenetic Image Database. - Boaz Lerner; Josepha Yeshaya; Lev Koushnir (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

Segmentation and Classification of Dot and Non-Dot-Like Fluorescence in situ Hybridization Signals for Automated Detection of Cytogenetic Abnormalities. - Boaz Lerner; Lev Koushnir; Josepha Yeshaya (IEEE Trans. Inf. Technol. Biomed., 2007)

The Bayesian ARTMAP. - Boaz Vigdor; Boaz Lerner (IEEE Trans. Neural Networks, 2007)

Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification. - Boaz Lerner; Hugo Guterman (Computational Intelligence Paradigms, 2008)

Bayesian Network Structure Learning by Recursive Autonomy Identification. - Raanan Yehezkel; Boaz Lerner (J. Mach. Learn. Res., 2009)

Investigation of the K2 Algorithm in Learning Bayesian Network Classifiers. - Boaz Lerner; Roy Malka (Appl. Artif. Intell., 2011)

Learning Bayesian network classifiers by risk minimization. - Roy Kelner; Boaz Lerner (Int. J. Approx. Reason., 2012)

Learning Latent Variable Models by Pairwise Cluster Comparison. - Nuaman Asbeh; Boaz Lerner (ACML, 2012)

Adaptive Thresholding in Structure Learning of a Bayesian Network. - Boaz Lerner; Michal Afek; Rafi Bojmel (IJCAI, 2013)

Learning a Bayesian Network Classifier by Jointly Maximizing Accuracy and Information. - Dan Halbersberg; Boaz Lerner (ECAI, 2016)

Exposing and modeling underlying mechanisms in ALS with machine learning. - Jonathan Gordon 002; Boaz Lerner (ICPR, 2016)

Human Mobility-Pattern Discovery and Next-Place Prediction from GPS Data. - Faina Khoroshevsky; Boaz Lerner (MPRSS, 2016)

Pairwise Cluster Comparison for Learning Latent Variable Models. - Nuaman Asbeh; Boaz Lerner (CFA@UAI, 2016)

Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview. - Nuaman Asbeh; Boaz Lerner (J. Mach. Learn. Res., 2016)

Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation. - Nuaman Asbeh; Boaz Lerner (J. Mach. Learn. Res., 2016)

Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns. - Eyal Ben Zion; Boaz Lerner (ESANN, 2017)

Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithm. - Aviv Nahon; Boaz Lerner (ESANN, 2018)

Identifying and predicting social lifestyles in people's trajectories by neural networks. - Eyal Ben Zion; Boaz Lerner (EPJ Data Sci., 2018)

Temporal Modeling of Deterioration Patterns and Clustering for Disease Prediction of ALS Patients. - Dan Halbersberg; Boaz Lerner (ICMLA, 2019)

Analyzing large-scale human mobility data: a survey of machine learning methods and applications. - Eran Toch; Boaz Lerner; Eyal Ben Zion; Irad Ben-Gal (Knowl. Inf. Syst., 2019)

Local to Global Learning of a Latent Dynamic Bayesian Network. - Dan Halbersberg; Boaz Lerner (ECAI, 2020)

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

Domain adaptation from clinical trials data to the tertiary care clinic - Application to ALS. - Ben Hadad; Boaz Lerner (ICMLA, 2020)

Online Cluster Drift Detection for Novelty Detection in Data Streams. - Shon Mendelson; Boaz Lerner (ICMLA, 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)

Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering. - Boaz Lerner; Guy Shiran; Daphna Weinshall (CoRR, 2020)

Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier. - Dan Halbersberg; Maydan Wienreb; Boaz Lerner (Mach. Learn., 2020)

Utilizing digital traces of mobile phones for understanding social dynamics in urban areas. - Oded Zinman; Boaz Lerner (Pers. Ubiquitous Comput., 2020)

A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients. - Shir Kashi; Ronit Feingold Polak; Boaz Lerner; Lior Rokach; Shelly Levy-Tzedek (IEEE Trans. Emerg. Top. Comput., 2021)

Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback. - Boaz Lerner; Nir Darshan; Rami Ben-Ari (CoRR, 2023)

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)

EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition. - 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 (ICLR, 2025)

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval. - Leah Bar; Boaz Lerner; Nir Darshan; Rami Ben-Ari (Trans. Mach. Learn. Res., 2025)