Mucahit Cevik
Mucahit Cevik
Toronto Metropolitan University
Verified email at - Homepage
Cited by
Cited by
Benefits, harms, and cost-effectiveness of supplemental ultrasonography screening for women with dense breasts
BL Sprague, NK Stout, C Schechter, NT Van Ravesteyn, M Cevik, ...
Annals of internal medicine 162 (3), 157-166, 2015
Benefits, harms, and costs for breast cancer screening after US implementation of digital mammography
NK Stout, SJ Lee, CB Schechter, K Kerlikowske, O Alagoz, D Berry, ...
Journal of the National Cancer Institute 106 (6), dju092, 2014
Comparative effectiveness of combined digital mammography and tomosynthesis screening for women with dense breasts
CI Lee, M Cevik, O Alagoz, BL Sprague, ANA Tosteson, DL Miglioretti, ...
Radiology 274 (3), 772-780, 2015
The University of Wisconsin breast cancer epidemiology simulation model: an update
O Alagoz, MA Ergun, M Cevik, BL Sprague, DG Fryback, RE Gangnon, ...
Medical decision making 38 (1_suppl), 99S-111S, 2018
Explainable boosted linear regression for time series forecasting
I Ilic, B Görgülü, M Cevik, MG Baydoğan
Pattern Recognition 120, 108144, 2021
Analysis of mammography screening policies under resource constraints
M Cevik, T Ayer, O Alagoz, BL Sprague
Production and Operations Management 27 (5), 949-972, 2018
Combinatorial Benders cuts for decomposing IMRT fluence maps using rectangular apertures
ZC Taşkın, M Cevik
Computers & Operations Research 40 (9), 2178-2186, 2013
A deep reinforcement learning approach for the meal delivery problem
H Jahanshahi, A Bozanta, M Cevik, EM Kavuk, A Tosun, SB Sonuc, ...
Knowledge-Based Systems 243, 108489, 2022
Evaluation of interpretability methods for multivariate time series forecasting
O Ozyegen, I Ilic, M Cevik
Applied Intelligence, 1-17, 2022
Mixed-integer linear programming models for the paint waste management problem
J Wang, M Cevik, SH Amin, AA Parsaee
Transportation Research Part E: Logistics and Transportation Review 151, 102343, 2021
Using active learning for speeding up calibration in simulation models
M Cevik, MA Ergun, NK Stout, A Trentham-Dietz, M Craven, O Alagoz
Medical Decision Making 36 (5), 581-593, 2016
A BERT-based transfer learning approach to text classification on software requirements specifications
D Kici, G Malik, M Cevik, D Parikh, A Başar
Canadian Conference on AI, 2021
Using ProtoPNet for Interpretable Alzheimer’s Disease Classification
S Mohammadjafari, M Cevik, M Thanabalasingam, A Basar
Canadian Conference on AI, 2021
Courier routing and assignment for food delivery service using reinforcement learning
A Bozanta, M Cevik, C Kavaklioglu, EM Kavuk, A Tosun, SB Sonuc, ...
Computers & Industrial Engineering 164, 107871, 2022
Machine learning-based radio coverage prediction in urban environments
S Mohammadjafari, S Roginsky, E Kavurmacioglu, M Cevik, J Ethier, ...
IEEE Transactions on Network and Service Management 17 (4), 2117-2130, 2020
DABT: A dependency-aware bug triaging method
H Jahanshahi, K Chhabra, M Cevik, A Baþar
Proceedings of the 25th International Conference on Evaluation and …, 2021
Word-level text highlighting of medical texts for telehealth services
O Ozyegen, D Kabe, M Cevik
Artificial Intelligence in Medicine 127, 102284, 2022
Comparing CISNET breast cancer models using the maximum clinical incidence reduction methodology
JJ van den Broek, NT van Ravesteyn, JS Mandelblatt, M Cevik, ...
Medical Decision Making 38 (1_suppl), 112S-125S, 2018
An empirical study on using CNNs for fast radio signal prediction
O Ozyegen, S Mohammadjafari, M Cevik, K El Mokhtari, J Ethier, A Basar
SN Computer Science 3 (2), 131, 2022
Order dispatching for an ultra-fast delivery service via deep reinforcement learning
EM Kavuk, A Tosun, M Cevik, A Bozanta, SB Sonuç, M Tutuncu, B Kosucu, ...
Applied Intelligence, 1-26, 2022
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