Impact of Funding on Scientific Output and Collaboration: A Survey of Literature. - Ashkan Ebadi; Andrea Schiffauerova (J. Inf. Knowl. Manag., 2013)

Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada. - Hamidreza Eslami; Ashkan Ebadi; Andrea Schiffauerova (Scientometrics, 2013)

A Computer System for Automatic Evaluation of Researchers' Performance. - Ashkan Ebadi; Andrea Schiffauerova (ISSI, 2015)

How to become an important player in scientific collaboration networks? - Ashkan Ebadi; Andrea Schiffauerova (J. Informetrics, 2015)

Self-Reflective Sentiment Analysis. - Benjamin Shickel; Martin Heesacker; Sherry Benton; Ashkan Ebadi; Paul Nickerson; Parisa Rashidi (CLPsych@HLT-NAACL, 2016)

How to boost scientific production? A statistical analysis of research funding and other influencing factors. - Ashkan Ebadi; Andrea Schiffauerova (Scientometrics, 2016)

iSEER: an intelligent automatic computer system for scientific evaluation of researchers. - Ashkan Ebadi; Andrea Schiffauerova (Scientometrics, 2016)

Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data. - Anis Davoudi; Tezcan Ozrazgat-Baslanti; Ashkan Ebadi; Alberto C. Bursian; Azra Bihorac; Parisa Rashidi (BIBE, 2017)

DisTeam: A decision support tool for surgical team selection. - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (Artif. Intell. Medicine, 2017)

DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. - Benjamin Shickel; Tyler J. Loftus; Tezcan Ozrazgat-Baslanti; Ashkan Ebadi; Azra Bihorac; Parisa Rashidi (CoRR, 2018)

A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time? - Ashkan Ebadi; Patrick James Tighe; Lei Zheng; Parisa Rashidi (CoRR, 2018)

Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics. - Lasith Adhikari; Tezcan Ozrazgat-Baslanti; Paul Thottakkara; Ashkan Ebadi; Amir Motaei; Parisa Rashidi; Xiaolin Li 001; Azra Bihorac (CoRR, 2018)

Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome. - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (CoRR, 2018)

How can Automated Machine Learning Help Business Data Science Teams? - Ashkan Ebadi; Yvan Gauthier; Stéphane Tremblay; Patrick Paul (ICMLA, 2019)

A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time? - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (Soc. Netw. Anal. Min., 2019)

Application of machine learning techniques to assess the trends and alignment of the funded research output. - Ashkan Ebadi; Stéphane Tremblay; Cyril Goutte; Andrea Schiffauerova (J. Informetrics, 2020)

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. - Alexander MacLean; Saad Abbasi; Ashkan Ebadi; Andy Zhao; Maya Pavlova; Hayden Gunraj; Pengcheng Xi; Sonny Kohli; Alexander Wong (DART/FAIR@MICCAI, 2021)

COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics. - Ashkan Ebadi; Pengcheng Xi; Alexander MacLean; Stéphane Tremblay; Sonny Kohli; Alexander Wong (CoRR, 2021)

COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach. - Jianxing Zhang; Pengcheng Xi; Ashkan Ebadi; Hilda Azimi; Stéphane Tremblay; Alexander Wong (CoRR, 2021)

Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology. - Elva Luz Crespo Neira; Ashkan Ebadi; Catherine Beaudry; Andrea Schiffauerova (CoRR, 2021)

NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset. - Ashkan Ebadi; Patrick Paul; Sofia Auer; Stéphane Tremblay (CoRR, 2021)

Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications. - Siyuan He; Pengcheng Xi; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (CoRR, 2021)

Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. - Ashkan Ebadi; Pengcheng Xi; Stéphane Tremblay; Bruce Spencer; Raman Pall; Alexander Wong (Scientometrics, 2021)

Improving Classification Model Performance on Chest X-Rays through Lung Segmentation. - Hilda Azimi; Jianxing Zhang; Pengcheng Xi; Hala As'ad; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (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. - Hilda Azimi; Ashkan Ebadi; Jessy Song; Pengcheng Xi; Alexander Wong (CoRR, 2022)

Women, artificial intelligence, and key positions in collaboration networks: Towards a more equal scientific ecosystem. - Anahita Hajibabaei; Andrea Schiffauerova; Ashkan Ebadi (CoRR, 2022)

Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography. - Kai Ma; Pengcheng Xi; Karim Habashy; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (CoRR, 2022)

On the evolution of research in hypersonics: application of natural language processing and machine learning. - Ashkan Ebadi; Alain Auger; Yvan Gauthier (CoRR, 2022)

Detecting Emerging Technologies in Artificial Intelligence Scientific Ecosystem Using an Indicator-based Model. - Ali Ghaemmaghami; Andrea Schiffauerova; Ashkan Ebadi (CoRR, 2022)

A Trustworthy Framework for Medical Image Analysis with Deep Learning. - Kai Ma; Siyuan He; Pengcheng Xi; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (CoRR, 2022)

Detecting emerging technologies and their evolution using deep learning and weak signal analysis. - Ashkan Ebadi; Alain Auger; Yvan Gauthier (J. Informetrics, 2022)

Gender-specific patterns in the artificial intelligence scientific ecosystem. - Anahita Hajibabaei; Andrea Schiffauerova; Ashkan Ebadi (J. Informetrics, 2022)

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. - Jessy Song; Ashkan Ebadi; Adrian Florea; Pengcheng Xi; Stéphane Tremblay; Alexander Wong (CoRR, 2023)

Women and key positions in scientific collaboration networks: analyzing central scientists' profiles in the artificial intelligence ecosystem through a gender lens. - Anahita Hajibabaei; Andrea Schiffauerova; Ashkan Ebadi (Scientometrics, 2023)

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. - Jessy Song; Ashkan Ebadi; Adrian Florea; Pengcheng Xi; Stéphane Tremblay; Alexander Wong (Sensors, 2023)

Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. - Kai Ma; Siyuan He; Grant Sinha; Ashkan Ebadi; Adrian Florea; Stéphane Tremblay; Alexander Wong; Pengcheng Xi (Sensors, 2023)

iTRACE: In-Depth Trends and Root Cause Analysis of Canadian Public Service Employee Survey. - Ashkan Ebadi (ICMLA, 2024)

iPEERS: A Multi-Layered Expert Recommender System for Enhanced Customer Support. - Ashkan Ebadi (ICMLA, 2024)

Harnessing Machine Learning and Stock Market Techniques for Signal Detection in Underwater Sensing Technologies. - Ashkan Ebadi; Alain Auger; Yvan Gauthier (ICMLA, 2024)

Advancing Energy Monitoring: Deep Learning for Automated Non-Smart Gas Meter Readings. - Nastaran Enshaei; Stéphane Tremblay; Patrick Paul; Ashkan Ebadi (ICMLA, 2024)

Deep Few-Shot Network for Protein Family Classification: Bridging the Gap Between Limited Data and High Performance. - Saeedeh Nasrin Jamali; Yogendra P. Chaubey; Ashkan Ebadi (ICMLA, 2024)

Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks. - Neel Patel; Alexander Wong; Ashkan Ebadi (ICMLA, 2024)

Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations. - Mohammadmahdi Toobaee; Andrea Schiffauerova; Ashkan Ebadi (CoRR, 2024)

Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach. - Koosha Shirouyeh; Andrea Schiffauerova; Ashkan Ebadi (CoRR, 2024)

WISDOM: An AI-powered framework for emerging research detection using weak signal analysis and advanced topic modeling. - Ashkan Ebadi; Alain Auger; Yvan Gauthier (CoRR, 2024)

COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring. - E. Zhixuan Zeng; Ashkan Ebadi; Adrian Florea; Alexander Wong (Sensors, 2024)