Research output per year
Research output per year
Personal profile
Research interests
Machine learning
Graphical models
Bayesian networks
Precision medicine
Precision agriculture
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Dive into the research topics where Boaz Lerner is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Levodopa responsiveness in Parkinson’s disease: harnessing real-life experience with machine-learning analysis
Djaldetti, R., Hadad, B., Reiner, J., Kharash, B. A. & Lerner, B., 1 Oct 2022, In: Journal of Neural Transmission.Research output: Contribution to journal › Article › peer-review
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Lipid level alteration in human and cellular models of alpha synuclein mutations
Avisar, H., Guardia-Laguarta, C., Surface, M., Papagiannakis, N., Maniati, M., Antonellou, R., Papadimitriou, D., Koros, C., Athanassiadou, A., Przedborski, S., Lerner, B., Stefanis, L., Area-Gomez, E. & Alcalay, R. N., 1 Dec 2022, In: npj Parkinson's Disease. 8, 1, 52.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
SIGN: Statistical Inference Graphs based on probabilistic Network activity interpretation
Konforti, Y., Shpigler, A., Lerner, B. & Hillel, A. B., 1 Jan 2022, (Accepted/In press) In: IEEE Transactions on Pattern Analysis and Machine Intelligence. p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients
Kashi, S., Polak, R. F., Lerner, B., Rokach, L. & Levy-Tzedek, S., 1 Jan 2021, In: IEEE Transactions on Emerging Topics in Computing. 9, 3, p. 1234-1247 14 p.Research output: Contribution to journal › Article › peer-review
Open Access15 Scopus citations -
Lipidomics Prediction of Parkinson's Disease Severity: A Machine-Learning Analysis
Avisar, H., Guardia-Laguarta, C., Area-Gomez, E., Surface, M., Chan, A. K., Alcalay, R. N. & Lerner, B., 2021, In: Journal of Parkinson's Disease. 11, 3, p. 1141-1155 15 p.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Domain adaptation from clinical trials data to the tertiary care clinic - Application to ALS
Hadad, B. & Lerner, B., 1 Dec 2020, Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020. Wani, M. A., Luo, F., Li, X., Dou, D. & Bonchi, F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 539-544 6 p. 9356184Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Inference Graphs for CNN Interpretation
Konforti, Y., Shpigler, A., Lerner, B. & Bar-Hillel, A., 1 Jan 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 69-84 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12370 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier
Halbersberg, D., Wienreb, M. & Lerner, B., 1 May 2020, In: Machine Learning. 109, 5, p. 1039-1099 61 p.Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations -
Local to global learning of a latent dynamic bayesian network
Halbersberg, D. & Lerner, B., 24 Aug 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (eds.). IOS Press BV, p. 2600-2607 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU
Hever, G., Cohen, L., O’Connor, M. F., Matot, I., Lerner, B. & Bitan, Y., 1 Apr 2020, In: Journal of Clinical Monitoring and Computing. 34, 2, p. 339-352 14 p.Research output: Contribution to journal › Article › peer-review
15 Scopus citations
Press / Media
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New Findings from Ben-Gurion University of the Negev in the Area of Health and Medicine Described (Engaging patients in identifying risk factors for ALS)
12/12/22
1 item of Media coverage
Press/Media
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Yazamut360 Entrepreneurship Center Of Ben-Gurion University Launches Oazis Accelerator To Promote New Technologies Originating From The University
Boaz Lerner, Carmel Sofer, Achiya Elyasaf, Gabby Sarusi, Oren Shriki & Jihad El Sana
14/09/20
20 items of Media coverage
Press/Media