Ahmad Alwosheel

An artificial neural network based approach to investigate travellers’ decision rules

Sander van Cranenburgh, Ahmad Alwosheel, Ahmad Alwosheel, 2019, Transportation Research Part C: Emerging Technologies.

A Two-Step Framework for Unsupervised Speaker Segmentation Using BIC and Artificial Neural Network

Ahmad Alwosheel, Ahmed Alqaraawi, 2015 .

‘Computer says no’ is not enough: Using prototypical examples to diagnose artificial neural networks for discrete choice analysis

Caspar G. Chorus, Ahmad Alwosheel, Sander van Cranenburgh, 2019 .

Towards efficient heart rate variability estimation in artifact-induced Photoplethysmography signals

Ahmad Alwosheel, Amr Alasaad, Ahmed Alqaraawi, 2016, 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

Unsupervised Reciter Recognition Using Gaussian Mixture Models

Ahmad Alwosheel, Ahmed Alqaraawi, 2016 .

Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis

Caspar G. Chorus, Sander van Cranenburgh, Ahmad Alwosheel, 2018, Journal of Choice Modelling.

Artificial Neural Networks as a means to accommodate decision rules in choice models

Caspar G. Chorus, Sander van Cranenburgh, Ahmad Alwosheel, 2017 .

Heart rate variability estimation in photoplethysmography signals using Bayesian learning approach

Ahmad Alwosheel, Amr Alasaad, Ahmed Alqaraawi, 2016, Healthcare technology letters.

Why did you predict that? Towards explainable artificial neural networks for travel demand analysis

Caspar G. Chorus, Ahmad Alwosheel, Sander van Cranenburgh, 2021, Transportation Research Part C: Emerging Technologies.