Ali Tosyali

Assistant Professor

Saunders College of Business

Department of MIS, Marketing and Analytics

2024 Submissions

Invited Article/Publication

Tutun, S., Topuz, K., Tosyali, A., Bhattacherjee, A., & Li, G. (2024). Explainable Artificial Intelligence for Mental Disorder Screening: A Computational Design Science Approach. Journal of Management Information Systems . .

Yu, Y., Baek, J., Tosyali, A., & Jeong, M. (2024). Robust Asymmetric Non-negative Matrix Factorization for Clustering Nodes in Directed Networks. Annals of Operations Research . .

2023 Submissions

Published Conference Proceedings

Tutun, S., Bhattacherjee, A., Topuz, K., Tosyali, A., & Li, G. (2023). MDscan: An Explainable Artificial Intelligence Artifact for Mental Health Screening. European Conference on Information Systems.

Invited Article/Publication

Xie, Y., Wang, T., Jeong, Y., Tosyali, A., & Jeong, M. (2023). True Sparse PCA for Reducing the Number of Essential Sensors in Virtual Metrology. International Journal of Production Research . .

2022 Submissions

Invited Article/Publication

He, S., Hollenbeck, B., Overgoor, G., Proserpio, D., & Tosyali, A. (2022). Detecting fake-review buyers using network structure: Direct evidence from Amazon. Proceedings of the National Academy of Sciences 119. e2211932119.

Tutun, S., Tosyali, A., Sangrody, H., Khasawneh, M., & Johnson, M. (2022). Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence and adaptive neural fuzzy inference system. Journal of Business Analytics . .

Yu, Y., Tosyali, A., Baek, J., & Jeong, M. (2022). A novel similarity-based link prediction approach for transaction networks. IEEE Transactions on Engineering Management . .

Choi, J., Tosyali, A., Kim, B., Lee, H., & Jeong, M. (2022). A Novel Method for Identifying Competitors Using a Financial Transaction Network. IEEE Transactions on Engineering Management 69. 845-860.

2021 Submissions

Invited Article/Publication

Tosyali, A., & Tavakkol, B. (2021). A node-based index for clustering validation of graph data. Annals of Operations Research . .

Tosyali, A., Choi, J., Kim, B., Lee, H., & Jeong, M. (2021). A dynamic graph-based approach to ranking firms for identifying key players using inter-firm transactions. Annals of Operations Research . .

Tosyali, A., Song, R., Guo, W., Abolhassani, A., & Kalamdani, R. (2021). Data-Driven Gantry Health Monitoring and Process Status Identification Based on Texture Extraction. Journal of Computing and Information Science in Engineering . .

2020 Submissions

Published Conference Proceedings

Tavakkol, B., & Tosyali, A. (2020). Density-based clustering validation of uncertain data objects.. Northeast Decision Sciences Institute Annual Meeting.

Invited Article/Publication

Tosyali, A., Kim, J., Choi, J., Kang, Y., & Jeong, M. (2020). New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks. Annals of Operations Research 288. 457-474.

2019 Submissions

Invited Article/Publication

Tosyali, A., Kim, J., Choi, J., & Jeong, M. (2019). Regularized asymmetric nonnegative matrix factorization for clustering in directed networks. Pattern Recognition Letters . .

2018 Submissions

Published Conference Proceedings

Usta, M., & Tosyali, A. (2018). Characterization of Model-Based Uncertainties in Incompressible Turbulent Flows by Machine Learning. ASME International Mechanical Engineering Congress and Exposition.

2016 Submissions

Invited Article/Publication

Rodriguez, A., Tosyali, A., Kim, B., Choi, J., & Lee, J. (2016). Patent clustering and outlier ranking methodologies for attributed patent citation networks for technology opportunity discovery. IEEE Transactions on Engineering Management . .

Sevim, C., Ekiyor, A., & Tosyali, A. (2016). As a supply chain financing source, trade credit and bank credit relationship during financial crises from clustering point of view. International Business Research . .