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Naama Tepper
Naama Tepper
OriginAI
Verified email at originai.co
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Cited by
Cited by
Year
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
3852020
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
3572016
Predicting metabolic engineering knockout strategies for chemical production: accounting for competing pathways
N Tepper, T Shlomi
Bioinformatics 26 (4), 536-543, 2010
2742010
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
932013
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
542018
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
402019
Context-based personalized summarization of missed messages
L Leiba, I Ronen, N Tepper
US Patent 10,574,613, 2020
362020
Computational design of auxotrophy-dependent microbial biosensors for combinatorial metabolic engineering experiments
N Tepper, T Shlomi
PloS one 6 (1), e16274, 2011
302011
Efficient modeling of MS/MS data for metabolic flux analysis
N Tepper, T Shlomi
PLoS One 10 (7), e0130213, 2015
192015
Expected group chat segment duration
JF Brunn, RMH Dickens, J Dunne, EA Geyer, LS Harpur, B Jiang, ...
US Patent 10,541,822, 2020
142020
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
132020
Not enough data
A Anaby-Tavor, B Carmeli, E Goldbraich, A Kantor, G Kour, S Shlomov, ...
Deep learning to the rescue, 2019
132019
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
82013
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
62018
Anat Hashavit
N Tepper
Maya Barnea, Inbal Ronen, and Lior Leiba.“Collabot: Personalized Group Chat …, 2018
52018
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
51911
Expected group chat segment duration
JF Brunn, RMH Dickens, J Dunne, EA Geyer, LS Harpur, B Jiang, ...
US Patent 11,057,230, 2021
42021
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
22022
Correction: Efficient Modeling of MS/MS Data for Metabolic Flux Analysis
N Tepper, T Shlomi
Plos one 10 (9), e0138630, 2015
12015
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
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