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Mohammad T. Khasawneh
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2020 – today
- 2024
- [j27]Asala N. Erekat, Mohammad T. Khasawneh:
S3LR: Novel feature selection approach for Microarray-Based breast cancer recurrence prediction. Expert Syst. Appl. 241: 122457 (2024) - [j26]Asala N. Erekat, Mohammad T. Khasawneh:
Corrigendum to "S3LR: Novel feature selection approach for microarray-based breast cancer recurrence prediction" [Expert Syst. Appl. 241 (2024) 122457]. Expert Syst. Appl. 249: 123639 (2024) - [j25]Khaled Mosaed Almassar, Mohammad T. Khasawneh:
Using IoT and AI to replenish household food supplies: A systematic review. J. Smart Cities Soc. 3(1): 23-62 (2024) - [j24]Oyekanmi O. Olatunde, Kehinde S. Oyetunde, Jihun Han, Mohammad T. Khasawneh, Hyunsoo Yoon:
Multiclass classification of Alzheimer's disease prodromal stages using sequential feature embeddings and regularized multikernel support vector machine. NeuroImage 304: 120929 (2024) - 2023
- [j23]Tanvir Ibna Kaisar, Kais Zaman, Mohammad T. Khasawneh:
A new approach to probabilistic classification based on Gaussian process and support vector machine. Comput. Ind. Eng. 186: 109719 (2023) - [j22]Khalid Y. Aram, Sarah S. Lam, Mohammad T. Khasawneh:
Cost-sensitive max-margin feature selection for SVM using alternated sorting method genetic algorithm. Knowl. Based Syst. 267: 110421 (2023) - 2022
- [j21]Abbas Safaei, Mohammad T. Khasawneh:
Possibility Extent and Possible Alternatives Preorder Type-2 Fuzzy Analytical Hierarchy Process (PE&PAP-AHP) to improve pharmaceutical R&D productivity. Appl. Soft Comput. 131: 109770 (2022) - [j20]Mai Abdulla, Mohammad T. Khasawneh:
Integration of aggressive bound tightening and Mixed Integer Programming for Cost-sensitive feature selection in medical diagnosis. Expert Syst. Appl. 187: 115902 (2022) - [j19]Khalid Y. Aram, Sarah S. Lam, Mohammad T. Khasawneh:
Linear Cost-sensitive Max-margin Embedded Feature Selection for SVM. Expert Syst. Appl. 197: 116683 (2022) - [j18]Laith Abu Lekham, Yong Wang, Ellen Hey, Mohammad T. Khasawneh:
Multi-criteria text mining model for COVID-19 testing reasons and symptoms and temporal predictive model for COVID-19 test results in rural communities. Neural Comput. Appl. 34(10): 7523-7536 (2022) - [j17]Laith Abu Lekham, Yong Wang, Ellen Hey, Mohammad T. Khasawneh:
Multi-label text mining to identify reasons for appointments to drive population health analytics at a primary care setting. Neural Comput. Appl. 34(17): 14971-15005 (2022) - [c5]Mohammad T. Khasawneh, Patrick H. Madden:
What's So Hard About (Mixed-Size) Placement? ISPD 2022: 57-64 - 2021
- [j16]Lu He, Sreenath Chalil Madathil, Greg Servis, Mohammad T. Khasawneh:
Neural network-based multi-task learning for inpatient flow classification and length of stay prediction. Appl. Soft Comput. 108: 107483 (2021) - [j15]Farouq Halawa, Sreenath Chalil Madathil, Mohammad T. Khasawneh:
Multi-objective unequal area pod-structured healthcare facility layout problem with daylight requirements. Comput. Ind. Eng. 162: 107722 (2021) - [j14]Farouq Halawa, Sreenath Chalil Madathil, Mohammad T. Khasawneh:
Integrated framework of process mining and simulation-optimization for pod structured clinical layout design. Expert Syst. Appl. 185: 115696 (2021) - 2020
- [j13]Mai Abdulla, Mohammad T. Khasawneh:
G-Forest: An ensemble method for cost-sensitive feature selection in gene expression microarrays. Artif. Intell. Medicine 108: 101941 (2020) - [j12]Mohammed Aladeemy, Linda Adwan, Amy Booth, Mohammad T. Khasawneh, Srikanth Poranki:
New feature selection methods based on opposition-based learning and self-adaptive cohort intelligence for predicting patient no-shows. Appl. Soft Comput. 86 (2020) - [j11]Mandana Rezaeiahari, Mohammad T. Khasawneh:
Simulation optimization approach for patient scheduling at destination medical centers. Expert Syst. Appl. 140 (2020) - [j10]Xiaodan Wu, Juan Li, Mohammad T. Khasawneh:
Rule-based task assignment and scheduling of medical examinations for heterogeneous MRI machines. J. Simulation 14(3): 189-203 (2020) - [c4]Mohammad T. Khasawneh, Patrick H. Madden:
Hill Climbing with Trees: Detail Placement for Large Windows. ISPD 2020: 9-16
2010 – 2019
- 2019
- [j9]Lu He, Sreenath Chalil Madathil, Amrita Oberoi, Greg Servis, Mohammad T. Khasawneh:
A systematic review of research design and modeling techniques in inpatient bed management. Comput. Ind. Eng. 127: 451-466 (2019) - [j8]Dana Bani-Hani, Mohammad T. Khasawneh:
A Recursive General Regression Neural Network (R-GRNN) Oracle for classification problems. Expert Syst. Appl. 135: 273-286 (2019) - [j7]Zhan-Ting Gao, Xiaojun Shan, Silei Shan, Mohammad T. Khasawneh:
Staffing optimisation in standardised care management processes. J. Oper. Res. Soc. 70(3): 459-471 (2019) - [j6]Xiaodan Wu, Rongrong Xu, Juan Li, Mohammad T. Khasawneh:
A simulation study of bed allocation to reduce blocking probability in emergency departments: A case study in China. J. Oper. Res. Soc. 70(8): 1376-1390 (2019) - [c3]Mohammad T. Khasawneh, Patrick H. Madden:
HydraRoute: A Novel Approach to Circuit Routing. ACM Great Lakes Symposium on VLSI 2019: 177-182 - 2017
- [j5]Salih Tutun, Mohammad T. Khasawneh, Jun Zhuang:
New framework that uses patterns and relations to understand terrorist behaviors. Expert Syst. Appl. 78: 358-375 (2017) - [j4]Mohammed Aladeemy, Salih Tutun, Mohammad T. Khasawneh:
A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence. Expert Syst. Appl. 88: 118-131 (2017) - 2015
- [j3]Bichen Zheng, Jinghe Zhang, Sang Won Yoon, Sarah S. Lam, Mohammad T. Khasawneh, Srikanth Poranki:
Predictive modeling of hospital readmissions using metaheuristics and data mining. Expert Syst. Appl. 42(20): 7110-7120 (2015) - 2014
- [j2]Xiao-Dan Wu, Mohammad T. Khasawneh, Dian-Min Yue, Ya-Nan Chu, Zhan-Ting Gao:
A simulation study of outpatient scheduling with multiple providers and a single device. Int. J. Comput. Intell. Syst. 7(sup2): 15-25 (2014) - 2013
- [c2]Wen Cao, Meng Jiang, Ying Han, Mohammad T. Khasawneh:
Ergonomic Assessment of Patient Barrow Lifting Technique Using Digital Human Modeling. HCI (23) 2013: 20-29
2000 – 2009
- 2007
- [c1]Bharat Upadrasta, Mohammad T. Khasawneh, Sarah S. Lam:
Advanced Technology Training for Operating the Microlithography Panel Printer. HCI (12) 2007: 998-1007 - 2004
- [j1]Shannon R. Bowling, Mohammad T. Khasawneh, Sittichai Kaewkuekool, Byung Rae Cho:
A Markovian approach to determining optimum process target levels for a multi-stage serial production system. Eur. J. Oper. Res. 159(3): 636-650 (2004)
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last updated on 2024-12-11 20:46 CET by the dblp team
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