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Journal Articles
- 2023
[j29]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: 102684 (2023)- [j28]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): 3783-3797 (2023) - 2021
- [j27]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): 1234-1247 (2021) - 2020
- [j26]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): 1039-1099 (2020) - [j25]Oded Zinman, Boaz Lerner:
Utilizing digital traces of mobile phones for understanding social dynamics in urban areas. Pers. Ubiquitous Comput. 24(4): 535-549 (2020) - 2019
- [j24]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): 501-523 (2019) - 2018
- [j23]Eyal Ben Zion, Boaz Lerner:
Identifying and predicting social lifestyles in people's trajectories by neural networks. EPJ Data Sci. 7(1): 45:1-45:27 (2018) - 2016
- [j22]Nuaman Asbeh, Boaz Lerner:
Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview. J. Mach. Learn. Res. 17: 224:1-224:52 (2016) - [j21]Nuaman Asbeh, Boaz Lerner:
Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation. J. Mach. Learn. Res. 17: 233:1-233:45 (2016) - 2012
- [j20]Roy Kelner, Boaz Lerner:
Learning Bayesian network classifiers by risk minimization. Int. J. Approx. Reason. 53(2): 248-272 (2012) - 2011
- [j19]Boaz Lerner, Roy Malka:
Investigation of the K2 Algorithm in Learning Bayesian Network Classifiers. Appl. Artif. Intell. 25(1): 74-96 (2011) - 2009
- [j18]Raanan Yehezkel, Boaz Lerner:
Bayesian Network Structure Learning by Recursive Autonomy Identification. J. Mach. Learn. Res. 10: 1527-1570 (2009) - 2007
- [j17]Boaz Lerner, Josepha Yeshaya, Lev Koushnir:
On the Classification of a Small Imbalanced Cytogenetic Image Database. IEEE ACM Trans. Comput. Biol. Bioinform. 4(2): 204-215 (2007) - [j16]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): 443-449 (2007) - [j15]Boaz Vigdor, Boaz Lerner:
The Bayesian ARTMAP. IEEE Trans. Neural Networks 18(6): 1628-1644 (2007) - 2006
- [j14]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): 1288-1300 (2006) - 2005
- [j13]Amit David, Boaz Lerner:
Support vector machine-based image classification for genetic syndrome diagnosis. Pattern Recognit. Lett. 26(8): 1029-1038 (2005) - [j12]Yaniv Gurwicz, Boaz Lerner:
Bayesian network classification using spline-approximated kernel density estimation. Pattern Recognit. Lett. 26(11): 1761-1771 (2005) - 2004
- [j11]Boaz Lerner:
Bayesian fluorescence in situ hybridisation signal classification. Artif. Intell. Medicine 30(3): 301-316 (2004) - [j10]Roy Malka, Boaz Lerner:
Classification of fluorescence in situ hybridization images using belief networks. Pattern Recognit. Lett. 25(16): 1777-1785 (2004) - 2001
- [j9]Boaz Lerner, Neil D. Lawrence:
A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics. Neural Comput. Appl. 10(1): 39-47 (2001) - [j8]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): 655-665 (2001) - 2000
- [j7]Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein:
On the Initialisation of Sammon's Nonlinear Mapping. Pattern Anal. Appl. 3(1): 61-68 (2000) - 1999
- [j6]Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein:
A comparative study of neural network based feature extraction paradigms. Pattern Recognit. Lett. 20(1): 7-14 (1999) - 1998
- [j5]Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein, Yitzhak Romem:
On pattern classification with Sammon's nonlinear mapping an experimental study. Pattern Recognit. 31(4): 371-381 (1998) - [j4]Boaz Lerner:
Toward a completely automatic neural-network-based human chromosome analysis. IEEE Trans. Syst. Man Cybern. Part B 28(4): 544-552 (1998) - [j3]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): 2841-2847 (1998) - 1995
- [j2]Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem:
Human chromosome classification using multilayer perceptron neural network. Int. J. Neural Syst. 6(3): 359-370 (1995) - [j1]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): 1673-1683 (1995)
Conference and Workshop Papers
- 2020
- [c23]Dan Halbersberg, Boaz Lerner:
Local to Global Learning of a Latent Dynamic Bayesian Network. ECAI 2020: 2600-2607 - [c22]Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel:
Inference Graphs for CNN Interpretation. ECCV (25) 2020: 69-84 - [c21]Shon Mendelson, Boaz Lerner:
Online Cluster Drift Detection for Novelty Detection in Data Streams. ICMLA 2020: 171-178 - [c20]Ben Hadad, Boaz Lerner:
Domain adaptation from clinical trials data to the tertiary care clinic - Application to ALS. ICMLA 2020: 539-544 - 2019
- [c19]Dan Halbersberg, Boaz Lerner:
Temporal Modeling of Deterioration Patterns and Clustering for Disease Prediction of ALS Patients. ICMLA 2019: 62-68 - 2018
- [c18]Aviv Nahon, Boaz Lerner:
Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithm. ESANN 2018 - 2017
- [c17]Eyal Ben Zion, Boaz Lerner:
Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns. ESANN 2017 - 2016
- [c16]Dan Halbersberg, Boaz Lerner:
Learning a Bayesian Network Classifier by Jointly Maximizing Accuracy and Information. ECAI 2016: 1638-1639 - [c15]Jonathan Gordon, Boaz Lerner:
Exposing and modeling underlying mechanisms in ALS with machine learning. ICPR 2016: 2168-2173 - [c14]Faina Khoroshevsky, Boaz Lerner:
Human Mobility-Pattern Discovery and Next-Place Prediction from GPS Data. MPRSS 2016: 24-35 - [c13]Nuaman Asbeh, Boaz Lerner:
Pairwise Cluster Comparison for Learning Latent Variable Models. CFA@UAI 2016: 29-38 - 2013
- [c12]Boaz Lerner, Michal Afek, Rafi Bojmel:
Adaptive Thresholding in Structure Learning of a Bayesian Network. IJCAI 2013: 1458-1464 - 2012
- [c11]Nuaman Asbeh, Boaz Lerner:
Learning Latent Variable Models by Pairwise Cluster Comparison. ACML 2012: 33-48 - 2006
- [c10]Boaz Lerner, Boaz Vigdor:
Image Classification for Genetic Diagnosis using Fuzzy ARTMAP. ICPR (3) 2006: 362-365 - [c9]Boaz Lerner, Roy Malka:
Learning Bayesian Networks for Cytogenetic Image Classification. ICPR (2) 2006: 772-775 - [c8]Yaniv Gurwicz, Boaz Lerner:
Bayesian Class-Matched Multinet Classifier. SSPR/SPR 2006: 145-153 - [c7]Raanan Yehezkel, Boaz Lerner:
Bayesian Network Structure Learning by Recursive Autonomy Identification. SSPR/SPR 2006: 154-162 - 2005
- [c6]Raanan Yehezkel, Boaz Lerner:
Recursive Autonomy Identification for Bayesian Network Structure Learning. AISTATS 2005: 429-436 - 2004
- [c5]Amit David, Boaz Lerner:
Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis. ICPR (3) 2004: 490-493 - [c4]Yaniv Gurwicz, Boaz Lerner:
Rapid Spline-based Kernel Density Estimation for Bayesian Networks. ICPR (3) 2004: 700-703 - 2000
- [c3]W. F. Clocksin, Boaz Lerner:
Automatic Analysis of Fluorescence In-Situ Hybridisation Images. BMVC 2000: 1-9 - 1996
- [c2]Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein, Yitzhak Romem:
Feature extraction by neural network nonlinear mapping for pattern classification. ICPR 1996: 320-324 - 1994
- [c1]Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem:
Feature selection and learning curves of a multilayer perceptron chromosome classifier. ICPR (2) 1994: 497-499
Parts in Books or Collections
- 2008
- [p1]Boaz Lerner, Hugo Guterman:
Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification. Computational Intelligence Paradigms 2008: 77-107
Informal and Other Publications
- 2024
- [i5]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 abs/2405.18065 (2024) - 2023
- [i4]Boaz Lerner, Nir Darshan, Rami Ben-Ari:
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback. CoRR abs/2312.11078 (2023) - 2021
- [i3]Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel:
Inference Graphs for CNN Interpretation. CoRR abs/2110.10568 (2021) - 2020
- [i2]Dan Halbersberg, Aharon Bar-Hillel, Shon Mendelson, Daniel A. Koster, Lena Karol, Boaz Lerner:
Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata. CoRR abs/2004.00303 (2020) - [i1]Boaz Lerner, Guy Shiran, Daphna Weinshall:
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering. CoRR abs/2012.00504 (2020)
Coauthor Index
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last updated on 2024-09-13 01:39 CEST by the dblp team
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