22 citations · 67 across the 11 of their papers we have counts for
11 papers
Technomolecular Materials: 3D Printed 2D Nanosheets with Self Patterned Electrodes
Hicham Hamoudi, Sara Iyad Ahmad, Atef Zekri +2
Building on our prior work, where our team transcended self assembled molecular monolayers (SAMs) research from a 2D configuration to 3D structured materials and successfully intro…
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
Tony Tohme, Mohsen Sadr, Kamal Youcef-Toumi +1
We introduce MESSY estimation, a Maximum-Entropy based Stochastic and Symbolic densitY estimation method. The proposed approach recovers probability density functions symbolically…
GSR: A Generalized Symbolic Regression Approach
Tony Tohme, Dehong Liu, Kamal Youcef-Toumi
Identifying the mathematical relationships that best describe a dataset remains a very challenging problem in machine learning, and is known as Symbolic Regression (SR). In contras…
Reliable Neural Networks for Regression Uncertainty Estimation
Tony Tohme, Kevin Vanslette, Kamal Youcef-Toumi
While deep neural networks are highly performant and successful in a wide range of real-world problems, estimating their predictive uncertainty remains a challenging task. To addre…
Instance Semantic Segmentation Benefits from Generative Adversarial Networks
Quang H. Le, Kamal Youcef-Toumi, Dzmitry Tsetserukou +1
In design of instance segmentation networks that reconstruct masks, segmentation is often taken as its literal definition -- assigning each pixel a label. This has led to thinking…
RecyGlide : A Forearm-worn Multi-modal Haptic Display aimed to Improve User VR Immersion
Juan Heredia, Jonathan Tirado, Vladislav Panov +3
Haptic devices have been employed to immerse users in VR environments. In particular, hand and finger haptic devices have been deeply developed. However, this type of device occlud…
A Generalized Bayesian Approach to Model Calibration
Tony Tohme, Kevin Vanslette, Kamal Youcef-Toumi
In model development, model calibration and validation play complementary roles toward learning reliable models. In this article, we expand the Bayesian Validation Metric framework…
Vectorized Uncertainty Propagation and Input Probability Sensitivity Analysis
Kevin Vanslette, Arwa Alanqari, Zeyad Al-awwad +1
In this article we construct a theoretical and computational process for assessing Input Probability Sensitivity Analysis (IPSA) using a Graphics Processing Unit (GPU) enabled tech…
A General Model Validation and Testing Tool
Kevin Vanslette, Tony Tohme, Kamal Youcef-Toumi
We construct and propose the "Bayesian Validation Metric" (BVM) as a general model validation and testing tool. We find the BVM to be capable of representing all of the standard va…
Why Simple Quadrature is just as good as Monte Carlo
Kevin Vanslette, Abdullatif Al Alsheikh, Kamal Youcef-Toumi
We motive and calculate Newton--Cotes quadrature integration variance and compare it directly with Monte Carlo (MC) integration variance. We find an equivalence between determinist…
Finger Grip Force Estimation from Video using Two Stream Approach
Andrey Sartison, Dima Mironov, Kamal Youcef-Toumi +1
Estimation of a hand grip force is essential for the understanding of force pattern during the execution of assembly or disassembly operations. Human demonstration of a correct way…