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2020 – today
- 2023
[p1]Dvir Ben Or, Michael Kolomenkin, Tanya Osokin, Gil Shabat, Hanan Shteingart:
Deep Learning Quantile Regression for Robustness, Confidence and Planning. Artificial Intelligence and Cybersecurity 2023: 279-289- 2022
- [i4]Hanan Shteingart, Gerben Oostra, Ohad Levinkron, Naama Parush, Gil Shabat, Daniel Aronovich:
Machine Learning Prescriptive Canvas for Optimizing Business Outcomes. CoRR abs/2206.10333 (2022) - [i3]Naama Parush, Ohad Levinkron-Fisch, Hanan Shteingart, Amir Bar Sela, Amir Zilberman, Jake Klein:
A Causal Approach for Business Optimization: Application on an Online Marketplace. CoRR abs/2207.01722 (2022) - 2021
- [i2]Guy Wolf, Gil Shabat, Hanan Shteingart:
Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees. CoRR abs/2111.04033 (2021) - 2020
- [i1]Hanan Shteingart, Eran Marom, Igor Itkin, Gil Shabat, Michael Kolomenkin, Moshe Salhov, Liran Katzir:
Majority Voting and the Condorcet's Jury Theorem. CoRR abs/2002.03153 (2020)
2010 – 2019
- 2014
- [j3]Gianluigi Mongillo
, Hanan Shteingart, Yonatan Loewenstein:
The Misbehavior of Reinforcement Learning. Proc. IEEE 102(4): 528-541 (2014) - [j2]Gianluigi Mongillo, Hanan Shteingart, Yonatan Loewenstein:
Race Against the Machine [Further Thoughts]. Proc. IEEE 102(4): 542-543 (2014) - 2010
- [j1]Hanan Shteingart, Nadav Raichman, Itay Baruchi, Eshel Ben-Jacob:
Wrestling Model of the Repertoire of Activity Propagation Modes in Quadruple Neural Networks. Frontiers Comput. Neurosci. 4: 25 (2010)
Coauthor Index
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