Publications

COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics
Ebadi, A., Xi, P., MacLean, A., Tremblay, S., Kohli, S., & Wong, A.
arXiv preprint arXiv:2103.10003. (2021)

Gender-Specific Patterns in the Artificial Intelligence Scientific Ecosystem
Hajibabaei, A., Schiffauerova, A., & Ebadi, A.
arXiv preprint arXiv:2106.01446. (2021)

COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach
Zhang, J., Xi, P., Ebadi, A., Azimi, H., Tremblay, S., & Wong, A.
arXiv preprint arXiv:2105.01710. (2021)

Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology
Neira, E. L. C., Ebadi, A., Beaudry, C., & Schiffauerova, A.
arXiv preprint arXiv:2106.02110. (2021)

Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing
Ebadi, A., Xi, P., Tremblay, S., Spencer, B., Pall, R., & Wong, A.
Scientometrics, 126(1), 725-739. (2021)

Application of machine learning techniques to assess the trends and alignment of the funded research output
Ebadi, A., Tremblay, S., Goutte, C., & Schiffauerova, A.
Journal of Informetrics, 14(2), 101018. (2020)

COVID-19 Detection from Chest X-Ray Images Using Deep Convolutional Neural Networks with Weights Imprinting Approach
As’ad, H., Azimi, H., Xi, P., Ebadi, A., Tremblay, S., & Wong, A.
Journal of Computational Vision and Imaging Systems, 6(1), 1-3. (2020)

How can automated machine learning help business data science teams?
Ebadi, A., Gauthier, Y., Tremblay, S., & Paul, P.
In 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) (pp. 1186-1191). (2019)

A quest for the structure of intra-and postoperative surgical team networks: does the small-world property evolve over time?
Ebadi, A., Tighe, P. J., Zhang, L., & Rashidi, P.
Social Network Analysis and Mining, 9(1), 7. (2019)

MySurgeryRisk: development and validation of a machine-learning risk algorithm for major complications and death after surgery
Bihorac, A., Ozrazgat-Baslanti, T., Ebadi, A., Motaei, A., Madkour, M., Pardalos, P. M., … & Momcilovic, P.
Annals of surgery, 269(4), 652. (2019)

Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients’ Outcome
Ebadi, A., Tighe, P. J., Zhang, L., & Rashidi, P.
arXiv preprint arXiv:1812.07129. (2018)

Delirium prediction using machine learning models on predictive electronic health records data
Davoudi, A., Ozrazgat-Baslanti, T., Ebadi, A., Bursian, A. C., Bihorac, A., & Rashidi, P.
In 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 568-573). (2017)

Unsupervised Machine Learning Analysis of Urinary Transcriptome Reveals Distinct Genotypic Clustering in Surgical Sepsis
Lysak, N., Ebadi, A., Bandyopadhyay, S., Ozrazgat-Baslanti, T., Sautina, L., Lopez, M. C., … & Bihorac, A.
Journal of the American College of Surgeons, 225(4), S66-S67. (2017)

Ensemble classification of Alzheimer’s disease and mild cognitive impairment based on complex graph measures from diffusion tensor images
Ebadi, A., Dalboni da Rocha, J. L., Nagaraju, D. B., Tovar-Moll, F., Bramati, I., Coutinho, G., … & Rashidi, P.
Frontiers in neuroscience, 11, 56. (2017)

DisTeam: A decision support tool for surgical team selection
Ebadi, A., Tighe, P. J., Zhang, L., & Rashidi, P.
Artificial intelligence in medicine, 76, 16-26. (2017)

A hybrid multi-criteria hotel recommender system using explicit and implicit feedbacks
Ebadi, A., & Krzyzak, A.
International Journal of Computer and Information Engineering, 10(8), 1377-1385. (2016)

iSEER: an intelligent automatic computer system for scientific evaluation of researchers
Ebadi, A., & Schiffauerova, A.
Scientometrics, 107(2), 477-498. (2016)

Self-reflective sentiment analysis
Shickel, B., Heesacker, M., Benton, S., Ebadi, A., Nickerson, P., & Rashidi, P.
In Proceedings of the Third Workshop on Computational Linguistics and Clinical Psychology (pp. 23-32). (2016)

How to boost scientific production? A statistical analysis of research funding and other influencing factors
Ebadi, A., & Schiffauerova, A.
Scientometrics, 106(3), 1093-1116. (2016)

How to become an important player in scientific collaboration networks?
Ebadi, A., & Schiffauerova, A.
Journal of Informetrics, 9(4), 809-825. (2015)

How to receive more funding for your research? Get connected to the right people!
Ebadi, A., & Schiffauerova, A.
PloS one, 10(7), e0133061. (2015)

A network perspective of academiaindustry nanotechnology collaboration: A comparison of Canada and the United States
Moazami, A., Ebadi, A., & Schiffauerova, A.
Collnet Journal of Scientometrics and Information Management, 9(2), 263-293. (2015)

On the relation between the small world structure and scientific activities
Ebadi, A., & Schiffauerova, A.
PloS one, 9(4), 10(3), e0121129. (2015)

Analyzing Scientific Activities of the Top Ten Canadian Universities
Ebadi, A., & Schiffauerova, A.
Collnet Journal of Scientometrics and Information Management, 9(1), 93-106. (2015)

How the export volume is affected by determinant factors in a developing country
Ebadi, A., & Ebadi, A.
Research in World Economy, 6(1), 143-150. (2015)

Impact of funding on scientific output and collaboration: A survey of literature
Ebadi, A., & Schiffauerova, A.
Journal of Information & Knowledge Management, 12(04), 1350037. (2013)

Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada
Eslami, H., Ebadi, A., & Schiffauerova, A.
Scientometrics, 97(1), 99-119. (2013)

For a complete list of publication, you may either check my Google Scholar profile or see the CV section.