3 citations · 5 across the 24 of their papers we have counts for
6 papers · 1 filter
Robustness Enhancement in Neural Networks with Alpha-Stable Training Noise
Xueqiong Yuan, Jipeng Li, Ercan Engin Kuruoğlu
With the increasing use of deep learning on data collected by non-perfect sensors and in non-perfect environments, the robustness of deep learning systems has become an important i…
Bayesian Neural Networks: A Min-Max Game Framework
Junping Hong, Ercan Engin Kuruoglu
In deep learning, Bayesian neural networks (BNN) provide the role of robustness analysis, and the minimax method is used to be a conservative choice in the traditional Bayesian fie…
Graph Frequency Features of Cancer Gene Co-Expression Networks
Radwa Adel, Ercan Engin Kuruoglu
Complex gene interactions play a significant role in cancer progression, driving cellular behaviors that contribute to tumor growth, invasion, and metastasis. Gene co-expression ne…
Adaptive Spatio-temporal Estimation on the Graph Edges via Line Graph Transformation
Yi Yan, Ercan Engin Kuruoglu
Spatial-temporal estimation of signals on graph edges is challenging because most conventional Graph Signal Processing techniques are defined on the graph nodes. Leveraging the Lin…
From Bandits Model to Deep Deterministic Policy Gradient, Reinforcement Learning with Contextual Information
Zhendong Shi, Xiaoli Wei, Ercan E. Kuruoglu
The problem of how to take the right actions to make profits in sequential process continues to be difficult due to the quick dynamics and a significant amount of uncertainty in ma…
Sequential Monte Carlo Graph Convolutional Network for Dynamic Brain Connectivity
Fengfan Zhao, Ercan Engin Kuruoglu
An increasingly important brain function analysis modality is functional connectivity analysis which regards connections as statistical codependency between the signals of differen…