| Do not have enough data? Deep learning to the rescue! A Anaby-Tavor, B Carmeli, E Goldbraich, A Kantor, G Kour, S Shlomov, ... Proceedings of the AAAI conference on artificial intelligence 34 (05), 7383-7390, 2020 | 384 | 2020 |
| Sugar synthesis from CO2 in Escherichia coli N Antonovsky, S Gleizer, E Noor, Y Zohar, E Herz, U Barenholz, ... Cell 166 (1), 115-125, 2016 | 357 | 2016 |
| Predicting metabolic engineering knockout strategies for chemical production: accounting for competing pathways N Tepper, T Shlomi Bioinformatics 26 (4), 536-543, 2010 | 274 | 2010 |
| Steady-state metabolite concentrations reflect a balance between maximizing enzyme efficiency and minimizing total metabolite load N Tepper, E Noor, D Amador-Noguez, HS Haraldsdóttir, R Milo, ... PloS one 8 (9), e75370, 2013 | 93 | 2013 |
| Collabot: Personalized group chat summarization N Tepper, A Hashavit, M Barnea, I Ronen, L Leiba Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 54 | 2018 |
| Grouping messages based on temporal and multi-feature similarity JF Brunn, D Dulaney, A Dewar, EA Geyer, B Jiang, R Dickens, ... US Patent App. 15/791,200, 2019 | 40 | 2019 |
| Context-based personalized summarization of missed messages L Leiba, I Ronen, N Tepper US Patent 10,574,613, 2020 | 36 | 2020 |
| Computational design of auxotrophy-dependent microbial biosensors for combinatorial metabolic engineering experiments N Tepper, T Shlomi PloS one 6 (1), e16274, 2011 | 30 | 2011 |
| Efficient modeling of MS/MS data for metabolic flux analysis N Tepper, T Shlomi PLoS One 10 (7), e0130213, 2015 | 19 | 2015 |
| Expected group chat segment duration JF Brunn, RMH Dickens, J Dunne, EA Geyer, LS Harpur, B Jiang, ... US Patent 10,541,822, 2020 | 14 | 2020 |
| Balancing via generation for multi-class text classification improvement N Tepper, E Goldbraich, N Zwerdling, G Kour, AA Tavor, B Carmeli Findings of the Association for Computational Linguistics: EMNLP 2020, 1440-1452, 2020 | 13 | 2020 |
| Not enough data A Anaby-Tavor, B Carmeli, E Goldbraich, A Kantor, G Kour, S Shlomov, ... Deep learning to the rescue, 2019 | 13 | 2019 |
| An integrated computational approach for metabolic flux analysis coupled with inference of tandem-MS collisional fragments N Tepper, T Shlomi Bioinformatics 29 (23), 3045-3052, 2013 | 8 | 2013 |
| Implicit user modeling in group chat A Hashavit, N Tepper, I Ronen, L Leiba, ADN Cohen Adjunct Publication of the 26th Conference on User Modeling, Adaptation and …, 2018 | 6 | 2018 |
| Anat Hashavit N Tepper Maya Barnea, Inbal Ronen, and Lior Leiba.“Collabot: Personalized Group Chat …, 2018 | 5 | 2018 |
| Not Enough Data? Deep Learning to the Rescue! arXiv 2019 A Anaby-Tavor, B Carmeli, E Goldbraich, A Kantor, G Kour, S Shlomov, ... arXiv preprint arXiv:1911.03118, 1911 | 5 | 1911 |
| Expected group chat segment duration JF Brunn, RMH Dickens, J Dunne, EA Geyer, LS Harpur, B Jiang, ... US Patent 11,057,230, 2021 | 4 | 2021 |
| Language-model-based data augmentation method for textual classification tasks with little data A Kantor, AA Tavor, B Carmeli, E Goldbraich, G Kour, S Shlomov, ... US Patent 11,526,667, 2022 | 1 | 2022 |
| Correction: Efficient Modeling of MS/MS Data for Metabolic Flux Analysis N Tepper, T Shlomi Plos one 10 (9), e0138630, 2015 | 1 | 2015 |
| Dataset balancing via quality-controlled sample generation N Tepper, E Goldbraich, B Carmeli, N Zwerdling, G Kour, AA Tavor US Patent 11,797,516, 2023 | | 2023 |
Tomer ShlomiProfessor of Computer Science and Biology, Technion在 cs.technion.ac.il 的电子邮件经过验证
