B. Lerner

发表

Feature representation and signal classification in fluorescence in-situ hybridization image analysis

W. F. Clocksin, Christopher M. Bishop, Boaz Lerner, 2001, IEEE Trans. Syst. Man Cybern. Part A.

GELFISH – Graphical environment for labelling fluorescence in‐situ hybridization images

S Dhanjal, B Lerner, M A Hultén, 2001, Journal of microscopy.

Feature representation for the automatic analysis of fluorescence in-situ hybridization images

B. Lerner, W. Clocksin, S. Dhanjal, 1999 .

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

Neil D. Lawrence, Boaz Lerner, B. Lerner, 2001, Neural Computing & Applications.

Reinforcement Learning for Risk-Sensitive Agents Introduction to Artificial Inteligence : Final Project

B. Lerner, Y. Katz, Itamar Winter, 2018 .

Insights into Amyotrophic Lateral Sclerosis from a Machine Learning Perspective

Jonathan Gordon, Boaz Lerner, B. Lerner, 2019, Journal of clinical medicine.

On the Classification of a Small Imbalanced Cytogenetic Image Database

B. Lerner, J. Yeshaya, L. Koushnir, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

On the Classification of a Small Imbalanced Cytogenetic Image Database

Boaz Lerner, Josepha Yeshaya, Lev Koushnir, 2007, IEEE ACM Trans. Comput. Biol. Bioinform..

Lipid level alteration in human and cellular models of alpha synuclein mutations

B. Lerner, L. Stefanis, S. Przedborski, 2022, NPJ Parkinson's disease.

Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach

Jung-Hsien Chiang, Devin C. Koestler, Celine Vens, 2018, Scientific Reports.

Levodopa responsiveness in Parkinson’s disease: harnessing real-life experience with machine-learning analysis

Ben S. Hadad, B. Lerner, R. Djaldetti, 2022, Journal of Neural Transmission.

Online Cluster Drift Detection for Novelty Detection in Data Streams

B. Lerner, Shon Mendelson, 2020, 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA).

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

Boaz Lerner, Faina Khoroshevsky, B. Lerner, 2016, MPRSS.

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

Hugo Guterman, Boaz Lerner, B. Lerner, 2008, Computational Intelligence Paradigms.

Segmentation and Classification of Dot and Non-Dot-Like Fluorescence in situ Hybridization Signals for Automated Detection of Cytogenetic Abnormalities

Boaz Lerner, Josepha Yeshaya, Lev Koushnir, 2007, IEEE Transactions on Information Technology in Biomedicine.

Accurate and Fast Off and Online Fuzzy ARTMAP-Based Image Classification With Application to Genetic Abnormality Diagnosis

Boaz Lerner, Boaz Vigdor, B. Lerner, 2006, IEEE Transactions on Neural Networks.

Structure‐based identification of catalytic residues

Boaz Lerner, Ran Yahalom, Dan Reshef, 2011, Proteins.

Feature extraction by neural network nonlinear mapping for pattern classification

Its'hak Dinstein, Hugo Guterman, Mayer Aladjem, 1996, Proceedings of 13th International Conference on Pattern Recognition.

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

Boaz Lerner, Nuaman Asbeh, B. Lerner, 2012, J. Mach. Learn. Res..

Pairwise Cluster Comparison for Learning Latent Variable Models

Boaz Lerner, Nuaman Asbeh, B. Lerner, 2016, CFA@UAI.

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

Boaz Lerner, Nuaman Asbeh, B. Lerner, 2012, J. Mach. Learn. Res..

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

Daphna Weinshall, Boaz Lerner, Guy Shiran, 2020, ArXiv.

The Bayesian ARTMAP

Boaz Lerner, Boaz Vigdor, B. Lerner, 2007, IEEE Transactions on Neural Networks.

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

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

Bayesian network classification using spline-approximated kernel density estimation

Boaz Lerner, Yaniv Gurwicz, B. Lerner, 2005, Pattern Recognit. Lett..

Rapid spline-based kernel density estimation for Bayesian networks

Boaz Lerner, Yaniv Gurwicz, B. Lerner, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Adaptive Thresholding in Structure Learning of a Bayesian Network

Boaz Lerner, Michal Afek, Rafi Bojmel, 2013, IJCAI.

SIGN: Statistical Inference Graphs Based on Probabilistic Network Activity Interpretation

B. Lerner, Aharon Bar-Hillel, Yael Konforti, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On pattern classification with Sammon's nonlinear mapping an experimental study

Its'hak Dinstein, Hugo Guterman, Mayer Aladjem, 1998, Pattern Recognit..

Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata pdf

Boaz Lerner, Aharon Bar-Hillel, Lena Karol, 2020, ArXiv.

Lipidomics Prediction of Parkinson's Disease Severity: A Machine-Learning Analysis.

B. Lerner, E. Area-Gomez, C. Guardia-Laguarta, 2021, Journal of Parkinson's disease.

A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients

Lior Rokach, Boaz Lerner, Shir Kashi, 2020, IEEE Transactions on Emerging Topics in Computing.

Inference Graphs for CNN Interpretation

Boaz Lerner, Aharon Bar-Hillel, Yael Konforti, 2021, ECCV.

Cycle-Time Key Factor Identification and Prediction in Semiconductor Manufacturing Using Machine Learning and Data Mining

Gad Rabinowitz, Boaz Lerner, Michael Hassoun, 2011, IEEE Transactions on Semiconductor Manufacturing.

Learning Bayesian network classifiers by risk minimization

Roy Kelner, Boaz Lerner, B. Lerner, 2012, Int. J. Approx. Reason..

Bayesian Class-Matched Multinet Classifier

Boaz Lerner, Yaniv Gurwicz, B. Lerner, 2006, SSPR/SPR.

On the Initialisation of Sammon’s Nonlinear Mapping

Its'hak Dinstein, Hugo Guterman, Mayer Aladjem, 2000, Pattern Analysis & Applications.

Analyzing large-scale human mobility data: a survey of machine learning methods and applications

Eran Toch, Irad Ben-Gal, Boaz Lerner, 2019, Knowledge and Information Systems.

Bayesian Network Structure Learning by Recursive Autonomy Identification

B. Lerner, Raanan Yehezkel, 2009, J. Mach. Learn. Res..

Identifying and predicting social lifestyles in people’s trajectories by neural networks

Eyal Ben Zion, B. Lerner, 2018, EPJ Data Science.

Automatic signal classification in fluorescence in situ hybridization images.

S Dhanjal, B Lerner, M A Hultén, 2001, Cytometry.

A comparative study of neural network based feature extraction paradigms

Its'hak Dinstein, Hugo Guterman, Mayer Aladjem, 1999, Pattern Recognit. Lett..

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

Boaz Lerner, Oded Zinman, B. Lerner, 2019, Personal and Ubiquitous Computing.

Analyzing large-scale human mobility data: a survey of machine learning methods and applications

B. Lerner, Eran Toch, I. Ben-Gal, 2018, Knowledge and Information Systems.

Localization and magnetic moment estimation of a ferromagnetic target by simulated annealing

Arie Sheinker, Nizan Salomonski, Boris Ginzburg, 2007 .

Image Classification for Genetic Diagnosis using Fuzzy ARTMAP

Boaz Lerner, Boaz Vigdor, B. Lerner, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU

B. Lerner, I. Matot, Yuval Bitan, 2019, Journal of Clinical Monitoring and Computing.

Local to Global Learning of a Latent Dynamic Bayesian Network

Boaz Lerner, Dan Halbersberg, B. Lerner, 2020, ECAI.

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

Ben S. Hadad, B. Lerner, 2020, 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA).

INVESTIGATION OF THE K2 ALGORITHM IN LEARNING BAYESIAN NETWORK CLASSIFIERS

B. Lerner, R. Malka, 2011, Appl. Artif. Intell..