| Development and validation of a machine learning model to aid discharge processes for inpatient surgical care KC Safavi, T Khaniyev, M Copenhaver, M Seelen, ACZ Langle, J Zanger, ... JAMA network open 2 (12), e1917221-e1917221, 2019 | 56 | 2019 |
| A robust estimation model for surgery durations with temporal, operational, and surgery team effects E Kayış, TT Khaniyev, J Suermondt, K Sylvester Health care management science 18, 222-233, 2015 | 55 | 2015 |
| Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics T Khaniyev, E Kayış, R Güllü European Journal of Operational Research 286 (1), 49-62, 2020 | 30 | 2020 |
| Towards a multidisciplinary teamwork training series for undergraduate engineering students: Development and assessment of two first-year workshops A Hurst, E Jobidon, A Prier, T Khaniyev, C Rennick, R Al-Hammoud, ... 2016 ASEE Annual Conference & Exposition, 2016 | 29 | 2016 |
| Structure detection in mixed-integer programs T Khaniyev, S Elhedhli, FS Erenay INFORMS Journal on Computing 30 (3), 570-587, 2018 | 23 | 2018 |
| Spatial separability in hub location problems with an application to brain connectivity networks T Khaniyev, S Elhedhli, FS Erenay INFORMS Journal on Optimization 2 (4), 320-346, 2020 | 5 | 2020 |
| Data-driven structure detection in optimization: Decomposition, hub location, and brain connectivity T Khaniyev University of Waterloo, 2018 | 3 | 2018 |
| Group-Level Ranking-Based Hubness Analysis of Human Brain Connectome Reveals Significant Interhemispheric Asymmetry and Intraparcel Heterogeneities S Hanalioglu, S Bahadir, I Isikay, P Celtikci, E Celtikci, FC Yeh, KK Oguz, ... Frontiers in Neuroscience 15, 782995, 2021 | 2 | 2021 |
| Predicting intensive care unit discharges of neurosurgery patients: A machine learning modeling A Koc, I Dogan, T Khaniyev, S Hanalioglu Journal of Critical Care 81, 154616, 2024 | | 2024 |
| Rolling Lookahead Learning for Optimal Classification Trees ZB Organ, E Kayış, T Khaniyev arXiv preprint arXiv:2304.10830, 2023 | | 2023 |
| Rolling Lookahead Learning for Optimal Classification Trees Z Batuhan Organ, E Kayış, T Khaniyev arXiv e-prints, arXiv: 2304.10830, 2023 | | 2023 |
| A prescriptive optimization approach to identification of minimal barriers for surgical patients T Khaniyev, MS Copenhaver, KC Safavi, ACZ Langle, KS Starobinski, ... medRxiv, 2023.03. 24.23287694, 2023 | | 2023 |
| Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care T Khaniyev, J Zanger, R Levi American Medical Association (AMA), 2019 | | 2019 |
