Boaz Lerner

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Boaz Lerner

 https://orcid.org/0000-0003-0165-3663
1994 …2024

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  • 2023

    Predicting IBD years before diagnosis using routine blood tests

    Lev-Zion, R., Dolev, A. S., Greenfeld, S., Kariv, R., Ledderman, N., Matz, E., Dotan, I., Kopylov, U., Turner, D. & Lerner, B., 2023, (Accepted/In press) 18th Congress of European Crohn's and Colitis Organisation (ECCO), Copenhagen, Denmark.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Predicting pediatric IBD years before diagnosis using routine blood tests

    Lev-Zion, R., Dolev, A. S., Greenfeld, S., Kariv, R., Ledderman, N., Matz, E., Dotan, I., Kopylov, U., Turner, D. & Lerner, B., 2023, (Accepted/In press) ESPGHAN Congress in Vienna.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2020

    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, p. 539-544 6 p. 9356184. (Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    5 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

    Open Access
    4 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

    2 Scopus citations

  • Online Cluster Drift Detection for Novelty Detection in Data Streams

    Mendelson, S. & 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, p. 171-178 8 p. 9356392

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    7 Scopus citations
  • 2019

    Temporal modeling of deterioration patterns and clustering for disease prediction of ALS patients

    Halbersberg, D. & Lerner, B., 1 Dec 2019, Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019. Wani, M. A., Khoshgoftaar, T. M., Wang, D., Wang, H. & Seliya, N. (eds.). Institute of Electrical and Electronics Engineers, p. 62-68 7 p. 8999319

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    7 Scopus citations
  • 2018

    Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithm

    Nahon, A. & Lerner, B., 1 Jan 2018, ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, p. 609-614 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations
  • 2017

    Human mobility-pattern discovery and next-place prediction from GPS data

    Khoroshevsky, F. & Lerner, B., 1 Jan 2017, Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction - 4th IAPR TC 9 Workshop, MPRSS 2016, Revised Selected Papers. Scherer, S. & Schwenker, F. (eds.). Springer Verlag, p. 24-35 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10183 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    16 Scopus citations

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

    Zion, E. B. & Lerner, B., 1 Jan 2017, ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, p. 459-464 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Scopus citations
  • 2016

    Exposing and modeling underlying mechanisms in ALS with machine learning

    Gordon, J. & Lerner, B., 1 Jan 2016, 2016 23rd International Conference on Pattern Recognition, ICPR 2016. Institute of Electrical and Electronics Engineers, p. 2168-2173 6 p. 7899957. (Proceedings - International Conference on Pattern Recognition; vol. 0).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Learning a Bayesian network classifier by jointly maximizing accuracy and information

    Halbersberg, D. & Lerner, B., 1 Jan 2016, Frontiers in Artificial Intelligence and Applications. Kaminka, G. A., Fox, M., Bouquet, P., Hullermeier, E., Dignum, V., Dignum, F. & van Harmelen, F. (eds.). IOS Press BV, Vol. 285. p. 1638-1639 2 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations
  • 2013

    Adaptive thresholding in structure learning of a Bayesian network

    Lerner, B., Afek, M. & Bojmel, R., 1 Dec 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1458-1464 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Adaptive thresholding in structure learning of a Bayesian network

    Lerner, B., Afek, M. & Bojmel, R., 1 Dec 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1458-1464 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Scopus citations
  • 2011

    Machine learning in predicting and explaining failure using class-imbalanced fab data

    Belyavin, H. & Lerner, B., 1 Jan 2011, 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings. Krause, T., Spath, D. & Ilg, R. (eds.). Fraunhofer-Verlag

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Trading between classification accuracy and information in production

    Wienreb, M., Lerner, B. & Rabinowitz, G., 1 Jan 2011, 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings. Krause, T., Spath, D. & Ilg, R. (eds.). Fraunhofer-Verlag

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2009

    Data mining for cycle time key factor identification and prediction in semiconductor manufacturing

    Meidan, Y., Lerner, B., Hassoun, M. & Rabinowitz, G., 1 Jan 2009, Proceedings of the 13th IFAC Symposium on Information Control Problems in Manufacturing, INCOM'09. 4 PART 1 ed. IFAC Secretariat, p. 217-222 6 p. (IFAC Proceedings Volumes (IFAC-PapersOnline); vol. 42, no. 4 PART 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    5 Scopus citations
  • 2006

    Bayesian class-matched multinet classifier

    Gurwicz, Y. & Lerner, B., 1 Jan 2006, Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Proceedings. Springer Verlag, p. 145-153 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4109 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    12 Scopus citations

  • Bayesian network structure learning by recursive autonomy identification

    Yehezkel, R. & Lerner, B., 1 Jan 2006, Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Proceedings. Springer Verlag, p. 154-162 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4109 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations

  • Image classification for genetic diagnosis using fuzzy ARTMAP

    Lerner, B. & Vigdor, B., 1 Dec 2006, Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006. Vol. 3. p. 362-365 4 p. 1699540

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Learning bayesian networks for cytogenetic image classification

    Lerner, B. & Malka, R., 1 Dec 2006, Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006. Vol. 2. p. 772-775 4 p. 1699319

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    2 Scopus citations
  • 2005

    Recursive autonomy identification for Bayesian network structure learning

    Yehezkel, R. & Lerner, B., 1 Dec 2005, AISTATS 2005 - Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics. p. 429-436 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Scopus citations
  • 2004

    Signal discrimination using a support vector machine for genetic syndrome diagnosis

    David, A. & Lerner, B., 20 Dec 2004, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Kittler, J., Petrou, M. & Nixon, M. (eds.). Vol. 3. p. 490-493 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations
  • 1996

    Feature extraction by neural network nonlinear mapping for pattern classification

    Lerner, B., Guterman, H., Aladjem, M., Dinstein, I. & Romem, Y., 1 Jan 1996, Track D: Parallel and Connectionist Systems. Institute of Electrical and Electronics Engineers, p. 320-324 5 p. 547438. (Proceedings - International Conference on Pattern Recognition; vol. 4).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    24 Scopus citations
  • 1994

    Feature selection and chromosome classification using a multilayer perceptron neural network

    Lerner, B., Levinstein, M., Rosenberg, B., Guterman, H., Dinstein, I. & Romem, Y., 1 Jan 1994, IEEE International Conference on Neural Networks - Conference Proceedings. Institute of Electrical and Electronics Engineers, p. 3540-3545 6 p. (IEEE International Conference on Neural Networks - Conference Proceedings; vol. 6).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    50 Scopus citations

  • LEARNING-CURVES AND OPTIMIZATION OF A MULTILAYER PERCEPTRON NEURAL-NETWORK FOR CHROMOSOME CLASSIFICATION

    LERNER, B., GUTERMAN, H., DINSTEIN, I. & ROMEM, Y., 1994, WORLD CONGRESS ON NEURAL NETWORKS-SAN DIEGO, - 1994 INTERNATIONAL NEURAL NETWORK SOCIETY ANNUAL MEETING, VOL 3. p. C248-C253

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review