A min-min max-min selective algorihtm for grid task scheduling K Etminani, M Naghibzadeh 2007 3rd IEEE/IFIP International Conference in Central Asia on Internet, 1-7, 2007 | 289 | 2007 |
A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET K Etminani, A Soliman, A Davidsson, JR Chang, B Martínez-Sanchis, ... European journal of nuclear medicine and molecular imaging, 1-22, 2022 | 59 | 2022 |
A mobile application for managing diabetic patients’ nutrition: a food recommender system S Norouzi, AK Ghalibaf, S Sistani, V Banazadeh, F Keykhaei, ... Archives of Iranian medicine 21 (10), 466-472, 2018 | 47 | 2018 |
Web usage mining: Discovery of the users' navigational patterns using SOM K Etminani, AR Delui, NR Yanehsari, M Rouhani 2009 First International Conference on Networked Digital Technologies, 224-249, 2009 | 46 | 2009 |
An optimal procedure for minimizing total weighted resource tardiness penalty costs in the resource-constrained project scheduling problem M Ranjbar, M Khalilzadeh, F Kianfar, K Etminani Computers & Industrial Engineering 62 (1), 264-270, 2012 | 41 | 2012 |
Epidemiological characteristics and trend of incidence of human brucellosis in Razavi Khorasan province S Hashtarkhani, M Akbari, L Jarahi, K Etminani Medical journal of Mashhad university of medical sciences 58 (9), 531-538, 2015 | 38 | 2015 |
Web Usage Mining: users' navigational patterns extraction from web logs using ant-based clustering method. K Etminani, MR Akbarzadeh-Totonchi, NR Yanehsari IFSA/EUSFLAT Conf., 396-401, 2009 | 36 | 2009 |
Knowledge-graph-based explainable AI: A systematic review E Rajabi, K Etminani Journal of Information Science, 01655515221112844, 2022 | 33 | 2022 |
How behavior change strategies are used to design digital interventions to improve medication adherence and blood pressure among patients with hypertension: systematic review K Etminani, A Tao Engström, C Göransson, A Sant’Anna, S Nowaczyk Journal of medical Internet research 22 (4), e17201, 2020 | 32 | 2020 |
DemocraticOP: A democratic way of aggregating Bayesian network parameters K Etminani, M Naghibzadeh, JM Peña International Journal of Approximate Reasoning 54 (5), 602-614, 2013 | 20 | 2013 |
Deep learning prediction models based on EHR trajectories: A systematic review A Amirahmadi, M Ohlsson, K Etminani Journal of biomedical informatics, 104430, 2023 | 19 | 2023 |
Evaluation of the role of TAX, HBZ, and HTLV-1 proviral load on the survival of ATLL patients MM Akbarin, A Shirdel, A Bari, ST Mohaddes, H Rafatpanah, EG Karimani, ... Blood research 52 (2), 106, 2017 | 17 | 2017 |
Overlapped ontology partitioning based on semantic similarity measures K Etminani, AR Delui, M Naghibzadeh 2010 5th International Symposium on Telecommunications, 1013-1018, 2010 | 17 | 2010 |
Determination of the most important risk factors of gestational diabetes in Iran by group analytical hierarchy process M Abbasi, ZM Khorasani, K Etminani, R Rahmanvand International Journal of Reproductive BioMedicine 15 (2), 109, 2017 | 16 | 2017 |
A hybrid min-min max-min algorithm with improved performance K Etminani, M Naghibzadeh, NR Yanehsari Department of Computer Engineering, University of Mashad, 2009 | 16 | 2009 |
Predictive model for survival in patients with gastric cancer L Goshayeshi, B Hoseini, Z Yousefli, A Khooie, K Etminani, ... Electronic physician 9 (12), 6035, 2017 | 13 | 2017 |
Food recommender systems for diabetic patients: a narrative review S Norouzi, M Nematy, H Zabolinezhad, S Sistani, K Etminani Reviews in Clinical Medicine 4 (3), 128-130, 2017 | 13 | 2017 |
A Min-Min Max-Min Selective Algorihtm for Grid Task Scheduling. Internet, 2007. ICI 2007. 3rd IEEE K Etminani, M Naghibzadeh IFIP International Conference in Central Asia on, 2007 | 13 | 2007 |
What users’ musical preference on Twitter reveals about psychological disorders SZ Alavijeh, F Zarrinkalam, Z Noorian, A Mehrpour, K Etminani Information Processing & Management 60 (3), 103269, 2023 | 11 | 2023 |
A study of input variable selection to artificial neural network for predicting hospital inpatient flows S Rasouli, H Tabesh, K Etminani British Journal of Applied Science & Technology 18 (4), 1-8, 2016 | 11 | 2016 |