Theory of fiber-optic, evanescent-wave spectroscopy and sensors A Messica, A Greenstein, A Katzir Applied optics 35 (13), 2274-2284, 1996 | 300 | 1996 |
Session-based recommendations using item embedding A Greenstein-Messica, L Rokach, M Friedman Proceedings of the 22nd international conference on intelligent user …, 2017 | 56 | 2017 |
Personal price aware multi-seller recommender system: Evidence from eBay A Greenstein-Messica, L Rokach Knowledge-Based Systems 150, 14-26, 2018 | 52 | 2018 |
Fiber-optic evanescent wave sensor for gas detection A Messica, A Greenstein, A Katzir, U Schiessl, M Tacke Optics letters 19 (15), 1167-1169, 1994 | 47 | 1994 |
Mechanically actuated evanescent-wave coupled optical devices A Messica, A Messica US Patent 6,909,824, 2005 | 30 | 2005 |
A hybrid approach for automatic model recommendation R Vainshtein, A Greenstein-Messica, G Katz, B Shapira, L Rokach Proceedings of the 27th ACM International Conference on Information and …, 2018 | 29 | 2018 |
Synaptic runaway in associative networks and the pathogenesis of schizophrenia A Greenstein-Messica, E Ruppin Neural computation 10 (2), 451-465, 1998 | 27 | 1998 |
Product bundle identification using semi-supervised learning H Tzaban, I Guy, A Greenstein-Messica, A Dagan, L Rokach, B Shapira Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 18 | 2020 |
Machine learning and operation research based method for promotion optimization of products with no price elasticity history A Greenstein-Messica, L Rokach Electronic Commerce Research and Applications 40, 100914, 2020 | 16 | 2020 |
Personal‐discount sensitivity prediction for mobile coupon conversion optimization A Greenstein‐Messica, L Rokach, A Shabtai Journal of the Association for Information Science and Technology 68 (8 …, 2017 | 13 | 2017 |
New item consumption prediction using deep learning M Shekasta, G Katz, A Greenstein-Messica, L Rokach, B Shapira arXiv preprint arXiv:1905.01686, 2019 | 6 | 2019 |
Predicting drug characteristics using biomedical text embedding G Shtar, A Greenstein-Messica, E Mazuz, L Rokach, B Shapira BMC bioinformatics 23 (1), 526, 2022 | 1 | 2022 |
Automatic machine learning derived from scholarly big data A Greenstein-Messica, R Vainshtein, G Katz, B Shapira, L Rokach arXiv preprint arXiv:2003.03470, 2020 | 1 | 2020 |
Visual Representation for Capturing Creator Theme in Brand-Creator Marketplace S Duanis, K Gaiger, R Cohen, S Zychlinski, A Greenstein-Messica Proceedings of the 17th ACM Conference on Recommender Systems, 1027-1030, 2023 | | 2023 |
Incorporating Product Price Into Recommender System to Optimize Business Key Performance Indicators (KPIs) A Greenstein-Messica Ben-Gurion University of the Negev, 2019 | | 2019 |
A Hybrid Approach for Automatic Model Recommendation.(2018), 1623--1626 R Vainshtein, A Greenstein-Messica, G Katz, B Shapira, L Rokach | | 2018 |
Discount Sensitivity–Are We All Equal? A Greenstein-Messica, L Rokach, A Shabtai | | |