4 papers
Functional Liu Regression for Scalar-on-Functional Models in High-Dimensional Settings
Shaista Ashraf, Stephen Becker, Farrukh Javed +1
This study develops a functional Liu-type shrinkage estimator (fLiu) for scalar-on-function regression in the presence of strong multicollinearity and high-dimensional functional p…
Adaptive Norm-Based Regularization for Neural Networks
Muhammad Qasim, Farrukh Javed
In this paper, we study norm-based regularization methods for neural networks. We compare existing penalization approaches and introduce two regularization strategies that extend c…
Partition-Based Functional Ridge Regression for High-Dimensional Data
Shaista Ashraf, Ismail Shah, Farrukh Javed
This paper proposes a partition-based functional ridge regression framework to address multicollinearity, overfitting, and interpretability in high-dimensional functional linear mo…
Beyond Accuracy: Reliability and Uncertainty Estimation in Convolutional Neural Networks
Sanne Ruijs, Alina Kosiakova, Farrukh Javed
Deep neural networks (DNNs) have become integral to a wide range of scientific and practical applications due to their flexibility and strong predictive performance. Despite their…