Analysis and evaluation of explainable artificial intelligence on suicide risk assessment
H Tang, A Miri Rekavandi, D Rooprai, G Dwivedi… - Scientific reports, 2024 - nature.com
This study explores the effectiveness of Explainable Artificial Intelligence (XAI) for predicting
suicide risk from medical tabular data. Given the common challenge of limited datasets in …
suicide risk from medical tabular data. Given the common challenge of limited datasets in …
B-Pose: Bayesian Deep Network for Camera 6-DoF Pose Estimation from RGB Images
AM Rekavandi, F Boussaid… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Camera pose estimation has long relied on geometry-based approaches and sparse 2D-3D
keypoint correspondences. With the advent of deep learning methods, the estimation of …
keypoint correspondences. With the advent of deep learning methods, the estimation of …
Adaptive Sliding Mode Control Based on a Radial Neural Model Applied for an Electric Drive with an Elastic Shaft
External disturbances, uncertainties, and nonlinear behavior are problems that are
commonly encountered by control system designers. In order to save on energy and …
commonly encountered by control system designers. In order to save on energy and …
Towards Adaptive Subspace Detection in Heterogeneous Environment
AM Rekavandi - arXiv preprint arXiv:2401.12469, 2024 - arxiv.org
In this paper, we aim to take one step forward to the scenario where an adaptive subspace
detection framework is required to detect subspace signals in non-stationary environments …
detection framework is required to detect subspace signals in non-stationary environments …