Boaz Lerner

According to our database, Boaz Lerner authored at least 57 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval.

Leah Bar, Boaz Lerner, Nir Darshan, Rami Ben-Ari

CoRR, 2024

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

CoRR, 2024

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, November, 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., March, 2023

Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback.

Boaz Lerner, Nir Darshan, Rami Ben-Ari

CoRR, 2023

2021

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

2020

Utilizing digital traces of mobile phones for understanding social dynamics in urban areas.

Oded Zinman, Boaz Lerner

Pers. Ubiquitous Comput., 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

Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering.

Boaz Lerner, Guy Shiran, Daphna Weinshall

CoRR, 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

Online Cluster Drift Detection for Novelty Detection in Data Streams.

Shon Mendelson, Boaz Lerner

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Domain adaptation from clinical trials data to the tertiary care clinic - Application to ALS.

Ben Hadad, Boaz Lerner

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Inference Graphs for CNN Interpretation.

Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel

Proceedings of the Computer Vision - ECCV 2020, 2020

Local to Global Learning of a Latent Dynamic Bayesian Network.

Dan Halbersberg, Boaz Lerner

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

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

Temporal Modeling of Deterioration Patterns and Clustering for Disease Prediction of ALS Patients.

Dan Halbersberg, Boaz Lerner

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

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 ALS using longitudinal data and long-short term memory-based algorithm.

Aviv Nahon, Boaz Lerner

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns.

Eyal Ben Zion, Boaz Lerner

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation.

Nuaman Asbeh, Boaz Lerner

J. Mach. Learn. Res., 2016

Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview.

Nuaman Asbeh, Boaz Lerner

J. Mach. Learn. Res., 2016

Pairwise Cluster Comparison for Learning Latent Variable Models.

Nuaman Asbeh, Boaz Lerner

Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016

Human Mobility-Pattern Discovery and Next-Place Prediction from GPS Data.

Faina Khoroshevsky, Boaz Lerner

Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2016

Exposing and modeling underlying mechanisms in ALS with machine learning.

Jonathan Gordon, Boaz Lerner

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Learning a Bayesian Network Classifier by Jointly Maximizing Accuracy and Information.

Dan Halbersberg, Boaz Lerner

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2013

Adaptive Thresholding in Structure Learning of a Bayesian Network.

Boaz Lerner, Michal Afek, Rafi Bojmel

Proceedings of the IJCAI 2013, 2013

2012

Learning Latent Variable Models by Pairwise Cluster Comparison.

Nuaman Asbeh, Boaz Lerner

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Learning Bayesian network classifiers by risk minimization.

Roy Kelner, Boaz Lerner

Int. J. Approx. Reason., 2012

2011

Investigation of the K2 Algorithm in Learning Bayesian Network Classifiers.

Boaz Lerner, Roy Malka

Appl. Artif. Intell., 2011

2009

Bayesian Network Structure Learning by Recursive Autonomy Identification.

Raanan Yehezkel, Boaz Lerner

J. Mach. Learn. Res., 2009

2008

Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification.

Boaz Lerner, Hugo Guterman

Proceedings of the Computational Intelligence Paradigms, Innovative Applications, 2008

2007

The Bayesian ARTMAP.

Boaz Vigdor, Boaz Lerner

IEEE Trans. Neural Networks, 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

On the Classification of a Small Imbalanced Cytogenetic Image Database.

Boaz Lerner, Josepha Yeshaya, Lev Koushnir

IEEE ACM Trans. Comput. Biol. Bioinform., 2007

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

Bayesian Class-Matched Multinet Classifier.

Yaniv Gurwicz, Boaz Lerner

Proceedings of the Structural, 2006

Image Classification for Genetic Diagnosis using Fuzzy ARTMAP.

Boaz Lerner, Boaz Vigdor

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Learning Bayesian Networks for Cytogenetic Image Classification.

Boaz Lerner, Roy Malka

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

Bayesian network classification using spline-approximated kernel density estimation.

Yaniv Gurwicz, Boaz Lerner

Pattern Recognit. Lett., 2005

Support vector machine-based image classification for genetic syndrome diagnosis.

Amit David, Boaz Lerner

Pattern Recognit. Lett., 2005

Recursive Autonomy Identification for Bayesian Network Structure Learning.

Raanan Yehezkel, Boaz Lerner

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Classification of fluorescence in situ hybridization images using belief networks.

Roy Malka, Boaz Lerner

Pattern Recognit. Lett., 2004

Bayesian fluorescence in situ hybridisation signal classification.

Boaz Lerner

Artif. Intell. Medicine, 2004

Rapid Spline-based Kernel Density Estimation for Bayesian Networks.

Yaniv Gurwicz, Boaz Lerner

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis.

Amit David, Boaz Lerner

Proceedings of the 17th International Conference on Pattern Recognition, 2004

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

A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics.

Boaz Lerner, Neil D. Lawrence

Neural Comput. Appl., 2001

2000

On the Initialisation of Sammon's Nonlinear Mapping.

Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein

Pattern Anal. Appl., 2000

Automatic Analysis of Fluorescence In-Situ Hybridisation Images.

W. F. Clocksin, Boaz Lerner

Proceedings of the British Machine Vision Conference 2000, 2000

1999

A comparative study of neural network based feature extraction paradigms.

Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein

Pattern Recognit. Lett., 1999

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

Toward a completely automatic neural-network-based human chromosome analysis.

Boaz Lerner

IEEE Trans. Syst. Man Cybern. Part B, 1998

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

1996

Feature extraction by neural network nonlinear mapping for pattern classification.

Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein, Yitzhak Romem

Proceedings of the 13th International Conference on Pattern Recognition, 1996

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

Human chromosome classification using multilayer perceptron neural network.

Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem

Int. J. Neural Syst., 1995

1994

Feature selection and learning curves of a multilayer perceptron chromosome classifier.

Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994