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2020 – today
- 2023
[j2]Claudia V. Goldman
, Michael Baltaxe, Debejyo Chakraborty, Jorge Arinez, Carlos Escobar Diaz:
Interpreting learning models in manufacturing processes: Towards explainable AI methods to improve trust in classifier predictions. J. Ind. Inf. Integr. 33: 100439 (2023)- [c5]Michael Baltaxe, Tomer Pe'er, Dan Levi:
Polarimetric Imaging for Perception. BMVC 2023: 566-570 - [i2]Michael Baltaxe, Tomer Pe'er, Dan Levi:
Polarimetric Imaging for Perception. CoRR abs/2305.14787 (2023) - 2021
- [c4]Claudia V. Goldman, Michael Baltaxe:
Why are you predicting this class? IV 2021: 415-420 - 2020
- [c3]Claudia V. Goldman, Michael Baltaxe, Debejyo Chakraborty, Jorge Arinez:
Explaining Learning Models in Manufacturing Processes. ISM 2020: 259-268
2010 – 2019
- 2019
- [c2]Michael Baltaxe, Ruben Mergui, Kobi Nistel, Gila Kamhi:
Marker-less Vision-based Detection of Improper Seat Belt Routing. IV 2019: 783-789 - 2018
- [c1]Ariel Telpaz, Michael Baltaxe, Ron M. Hecht, Guy Cohen-Lazry, Asaf Degani, Gila Kamhi:
An Approach for Measurement of Passenger Comfort: Real-Time Classification based on In-Cabin and Exterior Data. ITSC 2018: 223-229 - 2016
- [j1]Michael Baltaxe, Peter Meer, Michael Lindenbaum:
Local Variation as a Statistical Hypothesis Test. Int. J. Comput. Vis. 117(2): 131-141 (2016) - 2015
- [i1]Michael Baltaxe, Peter Meer, Michael Lindenbaum:
Local Variation as a Statistical Hypothesis Test. CoRR abs/1504.06507 (2015)
Coauthor Index
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