Boaz Lerner - RankMe

61 papers A* 2A 4B 4C 4Journal 36Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval. Trans. Mach. Learn. Res. Leah Bar, Boaz Lerner, Nir Darshan, Rami Ben-Ari
2025	A*	`conf`	EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition. ICLR 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
2024	J	`jnl`	Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval. CoRR Leah Bar, Boaz Lerner, Nir Darshan, Rami Ben-Ari
2024	J	`jnl`	EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition. CoRR 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
2023	J	`jnl`	Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback. CoRR Boaz Lerner, Nir Darshan, Rami Ben-Ari
2023	J	`jnl`	Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease. Artif. Intell. Medicine Hanan Mann, Aharon Bar-Hillel, Raffi Lev-Tzion, Shira Greenfeld, Revital Kariv, Natan Lederman, Eran Matz, Iris Dotan, Dan Turner, Boaz Lerner
2023	J	`jnl`	SIGN: Statistical Inference Graphs Based on Probabilistic Network Activity Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
2021	J	`jnl`	A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients. IEEE Trans. Emerg. Top. Comput. Shir Kashi, Ronit Feingold Polak, Boaz Lerner, Lior Rokach, Shelly Levy-Tzedek
2021	J	`jnl`	Inference Graphs for CNN Interpretation. CoRR Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
2020	J	`jnl`	Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering. CoRR Boaz Lerner, Guy Shiran, Daphna Weinshall
2020	C	`conf`	Domain adaptation from clinical trials data to the tertiary care clinic - Application to ALS. ICMLA Ben Hadad, Boaz Lerner
2020	—	`conf`	Inference Graphs for CNN Interpretation. ECCV (25) Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
2020	J	`jnl`	Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier. Mach. Learn. Dan Halbersberg, Maydan Wienreb, Boaz Lerner
2020	A	`conf`	Local to Global Learning of a Latent Dynamic Bayesian Network. ECAI Dan Halbersberg, Boaz Lerner
2020	C	`conf`	Online Cluster Drift Detection for Novelty Detection in Data Streams. ICMLA Shon Mendelson, Boaz Lerner
2020	J	`jnl`	Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata. CoRR Dan Halbersberg, Aharon Bar-Hillel, Shon Mendelson, Daniel A. Koster, Lena Karol, Boaz Lerner
2020	J	`jnl`	Utilizing digital traces of mobile phones for understanding social dynamics in urban areas. Pers. Ubiquitous Comput. Oded Zinman, Boaz Lerner
2019	J	`jnl`	Analyzing large-scale human mobility data: a survey of machine learning methods and applications. Knowl. Inf. Syst. Eran Toch, Boaz Lerner, Eyal Ben Zion, Irad Ben-Gal
2019	C	`conf`	Temporal Modeling of Deterioration Patterns and Clustering for Disease Prediction of ALS Patients. ICMLA Dan Halbersberg, Boaz Lerner
2018	J	`jnl`	Identifying and predicting social lifestyles in people's trajectories by neural networks. EPJ Data Sci. Eyal Ben Zion, Boaz Lerner
2018	B	`conf`	Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithm. ESANN Aviv Nahon, Boaz Lerner
2017	B	`conf`	Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns. ESANN Eyal Ben Zion, Boaz Lerner
2016	B	`conf`	Exposing and modeling underlying mechanisms in ALS with machine learning. ICPR Jonathan Gordon, Boaz Lerner
2016	—	`conf`	Human Mobility-Pattern Discovery and Next-Place Prediction from GPS Data. MPRSS Faina Khoroshevsky, Boaz Lerner
2016	J	`jnl`	Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview. J. Mach. Learn. Res. Nuaman Asbeh, Boaz Lerner
2016	J	`jnl`	Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation. J. Mach. Learn. Res. Nuaman Asbeh, Boaz Lerner
2016	A	`conf`	Learning a Bayesian Network Classifier by Jointly Maximizing Accuracy and Information. ECAI Dan Halbersberg, Boaz Lerner
2016	—	`conf`	Pairwise Cluster Comparison for Learning Latent Variable Models. CFA@UAI Nuaman Asbeh, Boaz Lerner
2013	A*	`conf`	Adaptive Thresholding in Structure Learning of a Bayesian Network. IJCAI Boaz Lerner, Michal Afek, Rafi Bojmel
2012	J	`jnl`	Learning Bayesian network classifiers by risk minimization. Int. J. Approx. Reason. Roy Kelner, Boaz Lerner
2012	C	`conf`	Learning Latent Variable Models by Pairwise Cluster Comparison. ACML Nuaman Asbeh, Boaz Lerner
2011	J	`jnl`	Investigation of the K2 Algorithm in Learning Bayesian Network Classifiers. Appl. Artif. Intell. Boaz Lerner, Roy Malka
2009	J	`jnl`	Bayesian Network Structure Learning by Recursive Autonomy Identification. J. Mach. Learn. Res. Raanan Yehezkel, Boaz Lerner
2008	—	`ch.`	Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification. Computational Intelligence Paradigms Boaz Lerner, Hugo Guterman
2007	J	`jnl`	On the Classification of a Small Imbalanced Cytogenetic Image Database. IEEE ACM Trans. Comput. Biol. Bioinform. Boaz Lerner, Josepha Yeshaya, Lev Koushnir
2007	J	`jnl`	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. Boaz Lerner, Lev Koushnir, Josepha Yeshaya
2007	J	`jnl`	The Bayesian ARTMAP. IEEE Trans. Neural Networks Boaz Vigdor, Boaz Lerner
2006	J	`jnl`	Accurate and Fast Off and Online Fuzzy ARTMAP-Based Image Classification With Application to Genetic Abnormality Diagnosis. IEEE Trans. Neural Networks Boaz Vigdor, Boaz Lerner
2006	—	`conf`	Bayesian Class-Matched Multinet Classifier. SSPR/SPR Yaniv Gurwicz, Boaz Lerner
2006	—	`conf`	Bayesian Network Structure Learning by Recursive Autonomy Identification. SSPR/SPR Raanan Yehezkel, Boaz Lerner
2006	—	`conf`	Image Classification for Genetic Diagnosis using Fuzzy ARTMAP. ICPR (3) Boaz Lerner, Boaz Vigdor
2006	—	`conf`	Learning Bayesian Networks for Cytogenetic Image Classification. ICPR (2) Boaz Lerner, Roy Malka
2005	J	`jnl`	Bayesian network classification using spline-approximated kernel density estimation. Pattern Recognit. Lett. Yaniv Gurwicz, Boaz Lerner
2005	A	`conf`	Recursive Autonomy Identification for Bayesian Network Structure Learning. AISTATS Raanan Yehezkel, Boaz Lerner
2005	J	`jnl`	Support vector machine-based image classification for genetic syndrome diagnosis. Pattern Recognit. Lett. Amit David, Boaz Lerner
2004	J	`jnl`	Bayesian fluorescence in situ hybridisation signal classification. Artif. Intell. Medicine Boaz Lerner
2004	J	`jnl`	Classification of fluorescence in situ hybridization images using belief networks. Pattern Recognit. Lett. Roy Malka, Boaz Lerner
2004	—	`conf`	Rapid Spline-based Kernel Density Estimation for Bayesian Networks. ICPR (3) Yaniv Gurwicz, Boaz Lerner
2004	—	`conf`	Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis. ICPR (3) Amit David, Boaz Lerner
2001	J	`jnl`	A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics. Neural Comput. Appl. Boaz Lerner, Neil D. Lawrence
2001	J	`jnl`	Feature representation and signal classification in fluorescence in-situ hybridization image analysis. IEEE Trans. Syst. Man Cybern. Part A Boaz Lerner, William F. Clocksin, Seema Dhanjal, Maj A. Hultén, Christopher M. Bishop
2000	A	`conf`	Automatic Analysis of Fluorescence In-Situ Hybridisation Images. BMVC W. F. Clocksin, Boaz Lerner
2000	J	`jnl`	On the Initialisation of Sammon's Nonlinear Mapping. Pattern Anal. Appl. Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein
1999	J	`jnl`	A comparative study of neural network based feature extraction paradigms. Pattern Recognit. Lett. Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein
1998	J	`jnl`	A classification-driven partially occluded object segmentation (CPOOS) method with application to chromosome analysis. IEEE Trans. Signal Process. Boaz Lerner, Hugo Guterman, Its'hak Dinstein
1998	J	`jnl`	On pattern classification with Sammon's nonlinear mapping an experimental study. Pattern Recognit. Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein, Yitzhak Romem
1998	J	`jnl`	Toward a completely automatic neural-network-based human chromosome analysis. IEEE Trans. Syst. Man Cybern. Part B Boaz Lerner
1996	B	`conf`	Feature extraction by neural network nonlinear mapping for pattern classification. ICPR Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein, Yitzhak Romem
1995	J	`jnl`	Human chromosome classification using multilayer perceptron neural network. Int. J. Neural Syst. Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem
1995	J	`jnl`	Medial axis transform-based features and a neural network for human chromosome classification. Pattern Recognit. Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem
1994	—	`conf`	Feature selection and learning curves of a multilayer perceptron chromosome classifier. ICPR (2) Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem