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Keivan Shariatmadar
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Journal Articles
- 2020
- [j4]Keivan Shariatmadar, Matthias De Ryck, Kristof Driesen, Frederik Debrouwere, Mark Versteyhe:
CMMSE: Linear programming under ϵ-contamination uncertainty. Comput. Math. Methods 2(2) (2020) - [j3]Keivan Shariatmadar, Mark Versteyhe:
Numerical Linear Programming under Non-Probabilistic Uncertainty Models - Interval and Fuzzy Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28(3): 469-495 (2020) - [j2]Dieltiens Sien, D'hondt Jordi, Marc Juwet, Keivan Shariatmadar, Mark Versteyhe:
Design and Calibration of an Instrumented Seat Post to Measure Sitting Loads While Cycling. Sensors 20(5): 1384 (2020) - 2012
- [j1]Erik Quaeghebeur, Keivan Shariatmadar, Gert de Cooman:
Constrained optimization problems under uncertainty with coherent lower previsions. Fuzzy Sets Syst. 206: 74-88 (2012)
Conference and Workshop Papers
- 2020
- [c3]Matthias De Ryck, Mark Versteyhe, Keivan Shariatmadar:
Methodology for a Gradual Migration from a Centralized towards a Decentralized Control in AGV Systems. ICMRE 2020: 110-114 - 2019
- [c2]Keivan Shariatmadar, Mark Versteyhe:
Linear programming under p-box uncertainty model. ICCMA 2019: 84-89 - 2012
- [c1]Erik Quaeghebeur, Nathan Huntley, Keivan Shariatmadar, Gert de Cooman:
Maximin and Maximal Solutions for Linear Programming Problems with Possibilistic Uncertainty. IPMU (3) 2012: 430-439
Informal and Other Publications
- 2024
- [i6]Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez:
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks. CoRR abs/2401.05043 (2024) - [i5]Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez:
Credal Wrapper of Model Averaging for Uncertainty Estimation on Out-Of-Distribution Detection. CoRR abs/2405.15047 (2024) - [i4]Keivan Shariatmadar:
Generalisation of Total Uncertainty in AI: A Theoretical Study. CoRR abs/2408.00946 (2024) - 2023
- [i3]Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin:
Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning. CoRR abs/2307.05772 (2023) - 2022
- [i2]Keivan Shariatmadar, Kaizheng Wang, Calvin R. Hubbard, Hans Hallez, David Moens:
An introduction to optimization under uncertainty - A short survey. CoRR abs/2212.00862 (2022) - [i1]Keivan Shariatmadar:
Path Planning Problem under non-probabilistic Uncertainty. CoRR abs/2212.01388 (2022)
Coauthor Index
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