Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
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On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking
A Gupta, B Da, Y Yuan, YS Ong. Cited by 12
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Evolutionary multitasking across single and multi-objective formulations for improved problem solving
B Da, A Gupta, YS Ong, L Feng. Cited by 51
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Landscape synergy in evolutionary multitasking
A Gupta, YS Ong, B Da, L Feng, SD Handoko. Cited by 58
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Cancer Markers Selection Using Network-Based Cox Regression: A Methodological and Computational Practice
A Iuliano, A Occhipinti, C Angelini, ID Feis, P Lió. Cited by 22
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Multiobjective Multifactorial Optimization in Evolutionary Multitasking
A Gupta, YS Ong, L Feng, KC Tan. Cited by 468
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Gene-set activity toolbox (GAT): A platform for microarray-based cancer diagnosis using an integrative gene-set analysis approach
W Engchuan, A Meechai, S Tongsima, N Doungpan, JH Chan. Cited by 7
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Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking
YS Ong, A Gupta. Cited by 254
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Semi-automatic construction of thyroid cancer intervention corpus from biomedical abstracts
W Kongburan, P Padungweang, W Krathu, JH Chan. Cited by 9
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The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking
B Da, A Gupta, YS Ong, L Feng. Cited by 13
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Towards Evolutionary Multitasking: A New Paradigm in Evolutionary Computation
YS Ong. Cited by 27
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Evolutionary multitasking in bi-level optimization
A Gupta, J Mańdziuk, YS Ong. Cited by 117
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Texture and color feature based WLS framework aided skin cancer classification using MSVM and ELM
D Choudhury, A Naug, S Ghosh. Cited by 26