activity
20202023
most citedUncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection

104 citations · 106 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Constrained Proximal Policy Optimization

Chengbin Xuan, Feng Zhang, Faliang Yin +1

The problem of constrained reinforcement learning (CRL) holds significant importance as it provides a framework for addressing critical safety satisfaction concerns in the field of…

cs.LG2023

Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction

Jingxin Li, Toktam Mahmoodi, Hak-Keung Lam

Although federated learning has achieved many breakthroughs recently, the heterogeneous nature of the learning environment greatly limits its performance and hinders its real-world…

eess.SY2022★ 1 cited

Fuzzy-based Robust Precision Consensus Tracking for Uncertain Networked Systems with Cooperative-Antagonistic Interactions

Amorey Lewis

In bipartite consensus tracking (BCT) tasks for nonlinear multiagent systems, stochastic disturbances and actuator faults are regarded as essential factors that hamper effective co…

eess.IV2021★ 104 cited

UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection

Moloud Abdar, Soorena Salari, Sina Qahremani +7

The COVID-19 (Coronavirus disease 2019) pandemic has become a major global threat to human health and well-being. Thus, the development of computer-aided detection (CAD) systems th…

eess.SP2020★ 1 cited

Channel Assignment in Uplink Wireless Communication using Machine Learning Approach

Guangyu Jia, Zhaohui Yang, Hak-Keung Lam +2

This letter investigates a channel assignment problem in uplink wireless communication systems. Our goal is to maximize the sum rate of all users subject to integer channel assignm…