Ashkan Ebadi - RankMe

55 papers C 8Journal 44Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	WISDOM: An AI-powered framework for emerging research detection using weak signal analysis and advanced topic modelling. J. Informetrics Ashkan Ebadi, Alain Auger, Yvan Gauthier
2025	J	`jnl`	An Explainable Hybrid AI Framework for Enhanced Tuberculosis and Symptom Detection. CoRR Neel Patel, Alexander Wong, Ashkan Ebadi
2025	J	`jnl`	Decoding Funded Research: Comparative Analysis of Topic Models and Uncovering the Effect of Gender and Geographic Location. CoRR Shirin Tavakoli Kafiabad, Andrea Schiffauerova, Ashkan Ebadi
2025	J	`jnl`	Interpretable Link Prediction in AI-Driven Cancer Research: Uncovering Co-Authorship Patterns. CoRR Shahab Mosallaie, Andrea Schiffauerova, Ashkan Ebadi
2024	C	`conf`	Advancing Energy Monitoring: Deep Learning for Automated Non-Smart Gas Meter Readings. ICMLA Nastaran Enshaei, Stéphane Tremblay, Patrick Paul, Ashkan Ebadi
2024	J	`jnl`	COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring. Sensors E. Zhixuan Zeng, Ashkan Ebadi, Adrian Florea, Alexander Wong
2024	C	`conf`	Deep Few-Shot Network for Protein Family Classification: Bridging the Gap Between Limited Data and High Performance. ICMLA Saeedeh Nasrin Jamali, Yogendra P. Chaubey, Ashkan Ebadi
2024	C	`conf`	Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks. ICMLA Neel Patel, Alexander Wong, Ashkan Ebadi
2024	J	`jnl`	Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks. CoRR Neel Patel, Alexander Wong, Ashkan Ebadi
2024	C	`conf`	Harnessing Machine Learning and Stock Market Techniques for Signal Detection in Underwater Sensing Technologies. ICMLA Ashkan Ebadi, Alain Auger, Yvan Gauthier
2024	J	`jnl`	Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach. CoRR Koosha Shirouyeh, Andrea Schiffauerova, Ashkan Ebadi
2024	J	`jnl`	Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations. CoRR Mohammadmahdi Toobaee, Andrea Schiffauerova, Ashkan Ebadi
2024	J	`jnl`	WISDOM: An AI-powered framework for emerging research detection using weak signal analysis and advanced topic modeling. CoRR Ashkan Ebadi, Alain Auger, Yvan Gauthier
2024	C	`conf`	iPEERS: A Multi-Layered Expert Recommender System for Enhanced Customer Support. ICMLA Ashkan Ebadi
2024	C	`conf`	iTRACE: In-Depth Trends and Root Cause Analysis of Canadian Public Service Employee Survey. ICMLA Ashkan Ebadi
2023	J	`jnl`	COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
2023	J	`jnl`	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 Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
2023	J	`jnl`	Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. Sensors Kai Ma, Siyuan He, Grant Sinha, Ashkan Ebadi, Adrian Florea, Stéphane Tremblay, Alexander Wong, Pengcheng Xi
2023	J	`jnl`	Women and key positions in scientific collaboration networks: analyzing central scientists' profiles in the artificial intelligence ecosystem through a gender lens. Scientometrics Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi
2022	J	`jnl`	A Trustworthy Framework for Medical Image Analysis with Deep Learning. CoRR Kai Ma, Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2022	J	`jnl`	COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos. CoRR Hilda Azimi, Ashkan Ebadi, Jessy Song, Pengcheng Xi, Alexander Wong
2022	J	`jnl`	Detecting Emerging Technologies and their Evolution using Deep Learning and Weak Signal Analysis. CoRR Ashkan Ebadi, Alain Auger, Yvan Gauthier
2022	J	`jnl`	Detecting Emerging Technologies in Artificial Intelligence Scientific Ecosystem Using an Indicator-based Model. CoRR Ali Ghaemmaghami, Andrea Schiffauerova, Ashkan Ebadi
2022	J	`jnl`	Detecting emerging technologies and their evolution using deep learning and weak signal analysis. J. Informetrics Ashkan Ebadi, Alain Auger, Yvan Gauthier
2022	J	`jnl`	Gender-specific patterns in the artificial intelligence scientific ecosystem. J. Informetrics Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi
2022	J	`jnl`	Improving Classification Model Performance on Chest X-Rays through Lung Segmentation. CoRR Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala As'ad, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2022	J	`jnl`	On the evolution of research in hypersonics: application of natural language processing and machine learning. CoRR Ashkan Ebadi, Alain Auger, Yvan Gauthier
2022	J	`jnl`	Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography. CoRR Kai Ma, Pengcheng Xi, Karim Habashy, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2022	J	`jnl`	Women, artificial intelligence, and key positions in collaboration networks: Towards a more equal scientific ecosystem. CoRR Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi
2021	J	`jnl`	COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach. CoRR Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stéphane Tremblay, Alexander Wong
2021	J	`jnl`	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. CoRR Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
2021	—	`conf`	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. DART/FAIR@MICCAI Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
2021	J	`jnl`	COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics. CoRR Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong
2021	J	`jnl`	Gender-Specific Patterns in the Artificial Intelligence Scientific Ecosystem. CoRR Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi
2021	J	`jnl`	Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology. CoRR Elva Luz Crespo Neira, Ashkan Ebadi, Catherine Beaudry, Andrea Schiffauerova
2021	J	`jnl`	NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset. CoRR Ashkan Ebadi, Patrick Paul, Sofia Auer, Stéphane Tremblay
2021	J	`jnl`	Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications. CoRR Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2021	J	`jnl`	Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. Scientometrics Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
2020	J	`jnl`	Application of machine learning techniques to assess the trends and alignment of the funded research output. J. Informetrics Ashkan Ebadi, Stéphane Tremblay, Cyril Goutte, Andrea Schiffauerova
2020	J	`jnl`	Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. CoRR Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
2019	J	`jnl`	A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time? Soc. Netw. Anal. Min. Ashkan Ebadi, Patrick James Tighe, Lei Zhang, Parisa Rashidi
2019	C	`conf`	How can Automated Machine Learning Help Business Data Science Teams? ICMLA Ashkan Ebadi, Yvan Gauthier, Stéphane Tremblay, Patrick Paul
2018	J	`jnl`	A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time? CoRR Ashkan Ebadi, Patrick James Tighe, Lei Zheng, Parisa Rashidi
2018	J	`jnl`	DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. CoRR Benjamin Shickel, Tyler J. Loftus, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Azra Bihorac, Parisa Rashidi
2018	J	`jnl`	Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome. CoRR Ashkan Ebadi, Patrick James Tighe, Lei Zhang, Parisa Rashidi
2018	J	`jnl`	Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics. CoRR Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara, Ashkan Ebadi, Amir Motaei, Parisa Rashidi, Xiaolin Li, Azra Bihorac
2017	C	`conf`	Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data. BIBE Anis Davoudi, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Alberto C. Bursian, Azra Bihorac, Parisa Rashidi
2017	J	`jnl`	DisTeam: A decision support tool for surgical team selection. Artif. Intell. Medicine Ashkan Ebadi, Patrick James Tighe, Lei Zhang, Parisa Rashidi
2016	J	`jnl`	How to boost scientific production? A statistical analysis of research funding and other influencing factors. Scientometrics Ashkan Ebadi, Andrea Schiffauerova
2016	—	`conf`	Self-Reflective Sentiment Analysis. CLPsych@HLT-NAACL Benjamin Shickel, Martin Heesacker, Sherry Benton, Ashkan Ebadi, Paul Nickerson, Parisa Rashidi
2016	J	`jnl`	iSEER: an intelligent automatic computer system for scientific evaluation of researchers. Scientometrics Ashkan Ebadi, Andrea Schiffauerova
2015	—	`conf`	A Computer System for Automatic Evaluation of Researchers' Performance. ISSI Ashkan Ebadi, Andrea Schiffauerova
2015	J	`jnl`	How to become an important player in scientific collaboration networks? J. Informetrics Ashkan Ebadi, Andrea Schiffauerova
2013	J	`jnl`	Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada. Scientometrics Hamidreza Eslami, Ashkan Ebadi, Andrea Schiffauerova
2013	J	`jnl`	Impact of Funding on Scientific Output and Collaboration: A Survey of Literature. J. Inf. Knowl. Manag. Ashkan Ebadi, Andrea Schiffauerova