activity
20202026
most citedAn Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis

183 citations · 192 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

GeoVision-Enabled Digital Twin for Hybrid Autonomous-Teleoperated Medical Responses

Parham Kebria, Soheil Sabri, Laura J Brattain

Remote medical response systems are increasingly being deployed to support emergency care in disaster-affected and infrastructure-limited environments. Enabled by GeoVision capabil…

cs.AI2023

Leveraging Optimal Transport for Enhanced Offline Reinforcement Learning in Surgical Robotic Environments

Maryam Zare, Parham M. Kebria, Abbas Khosravi

Most Reinforcement Learning (RL) methods are traditionally studied in an active learning setting, where agents directly interact with their environments, observe action outcomes, a…

cs.CR2023★ 4 cited

A Review of Machine Learning-based Security in Cloud Computing

Aptin Babaei, Parham M. Kebria, Mohsen Moradi Dalvand +1

Cloud Computing (CC) is revolutionizing the way IT resources are delivered to users, allowing them to access and manage their systems with increased cost-effectiveness and simplifi…

cs.RO2023★ 1 cited

A Review on Robot Manipulation Methods in Human-Robot Interactions

Haoxu Zhang, Parham M. Kebria, Shady Mohamed +2

Robot manipulation is an important part of human-robot interaction technology. However, traditional pre-programmed methods can only accomplish simple and repetitive tasks. To enabl…

cs.LG2023★ 3 cited

A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges

Maryam Zare, Parham M. Kebria, Abbas Khosravi +1

In recent years, the development of robotics and artificial intelligence (AI) systems has been nothing short of remarkable. As these systems continue to evolve, they are being util…

cs.CV2021★ 1 cited

A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification

Feras Albardi, H M Dipu Kabir, Md Mahbub Islam Bhuiyan +3

This study aims to explore different pre-trained models offered in the Torchvision package which is available in the PyTorch library. And investigate their effectiveness on fine-gr…

eess.IV2020★ 183 cited

An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis

Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan +5

The early and reliable detection of COVID-19 infected patients is essential to prevent and limit its outbreak. The PCR tests for COVID-19 detection are not available in many countr…