Ashkan Ebadi
Orcid: 0000-0002-4542-9105
According to our database1,
Ashkan Ebadi
authored at least 41 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring.
Sensors, March, 2024
WISDOM: An AI-powered framework for emerging research detection using weak signal analysis and advanced topic modeling.
CoRR, 2024
Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach.
CoRR, 2024
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks.
CoRR, 2024
Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations.
CoRR, 2024
2023
Sensors, October, 2023
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound.
Sensors, March, 2023
Women and key positions in scientific collaboration networks: analyzing central scientists' profiles in the artificial intelligence ecosystem through a gender lens.
Scientometrics, February, 2023
COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images.
CoRR, 2023
2022
J. Informetrics, 2022
Detecting emerging technologies and their evolution using deep learning and weak signal analysis.
J. Informetrics, 2022
Detecting Emerging Technologies in Artificial Intelligence Scientific Ecosystem Using an Indicator-based Model.
CoRR, 2022
On the evolution of research in hypersonics: application of natural language processing and machine learning.
CoRR, 2022
Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography.
CoRR, 2022
Women, artificial intelligence, and key positions in collaboration networks: Towards a more equal scientific ecosystem.
CoRR, 2022
COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos.
CoRR, 2022
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation.
CoRR, 2022
2021
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing.
Scientometrics, 2021
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications.
CoRR, 2021
Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology.
CoRR, 2021
CoRR, 2021
COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics.
CoRR, 2021
COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
2020
Application of machine learning techniques to assess the trends and alignment of the funded research output.
J. Informetrics, 2020
2019
A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time?
Soc. Netw. Anal. Min., 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome.
CoRR, 2018
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics.
CoRR, 2018
A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time?
CoRR, 2018
CoRR, 2018
2017
Artif. Intell. Medicine, 2017
Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017
2016
iSEER: an intelligent automatic computer system for scientific evaluation of researchers.
Scientometrics, 2016
How to boost scientific production? A statistical analysis of research funding and other influencing factors.
Scientometrics, 2016
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016
2015
J. Informetrics, 2015
A Computer System for Automatic Evaluation of Researchers' Performance.
Proceedings of the 15th International Conference on Scientometrics and Informetrics, Istanbul, Turkey, June 29, 2015
2013
Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada.
Scientometrics, 2013
J. Inf. Knowl. Manag., 2013