Keivan Shariatmadar

According to our database, Keivan Shariatmadar authored at least 19 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

AI-Enhanced Precision in Sport Taekwondo: Increasing Fairness, Speed, and Trust in Competition (FST.ai).

Keivan Shariatmadar, Ahmad Osman

CoRR, July, 2025

Generalized Decision Focused Learning under Imprecise Uncertainty-Theoretical Study.

Keivan Shariatmadar, Neil Yorke-Smith, Ahmad Osman, Fabio Cuzzolin, Hans Hallez, David Moens

CoRR, February, 2025

CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks.

Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez

Neural Networks, 2025

Most likely heteroscedastic Gaussian process via kernel smoothing.

Ghifari Adam Faza, Nasrulloh R. B. S. Loka, Keivan Shariatmadar, Hans Hallez, David Moens

Knowl. Based Syst., 2025

Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification.

Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Random-Set Neural Networks.

Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Generalisation of Total Uncertainty in AI: A Theoretical Study.

Keivan Shariatmadar

CoRR, 2024

Credal Wrapper of Model Averaging for Uncertainty Estimation on Out-Of-Distribution Detection.

Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez

CoRR, 2024

Credal Deep Ensembles for Uncertainty Quantification.

Kaizheng Wang, Fabio Cuzzolin, Shireen Kudukkil Manchingal, Keivan Shariatmadar, David Moens, Hans Hallez

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning.

Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin

CoRR, 2023

2022

Path Planning Problem under non-probabilistic Uncertainty.

Keivan Shariatmadar

CoRR, 2022

An introduction to optimization under uncertainty - A short survey.

Keivan Shariatmadar, Kaizheng Wang, Calvin R. Hubbard, Hans Hallez, David Moens

CoRR, 2022

2020

Design and Calibration of an Instrumented Seat Post to Measure Sitting Loads While Cycling.

Dieltiens Sien, D'hondt Jordi, Marc Juwet, Keivan Shariatmadar, Mark Versteyhe

Sensors, 2020

Numerical Linear Programming under Non-Probabilistic Uncertainty Models - Interval and Fuzzy Sets.

Keivan Shariatmadar, Mark Versteyhe

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020

CMMSE: Linear programming under ϵ-contamination uncertainty.

Keivan Shariatmadar, Matthias De Ryck, Kristof Driesen, Frederik Debrouwere, Mark Versteyhe

Comput. Math. Methods, 2020

Methodology for a Gradual Migration from a Centralized towards a Decentralized Control in AGV Systems.

Matthias De Ryck, Mark Versteyhe, Keivan Shariatmadar

Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020

2019

Linear programming under p-box uncertainty model.

Keivan Shariatmadar, Mark Versteyhe

Proceedings of the 7th International Conference on Control, Mechatronics and Automation, 2019

2012

Constrained optimization problems under uncertainty with coherent lower previsions.

Erik Quaeghebeur, Keivan Shariatmadar, Gert de Cooman

Fuzzy Sets Syst., 2012

Maximin and Maximal Solutions for Linear Programming Problems with Possibilistic Uncertainty.

Erik Quaeghebeur, Nathan Huntley, Keivan Shariatmadar, Gert de Cooman

Proceedings of the Advances in Computational Intelligence, 2012