Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Wanpracha A. Chaovalitwongse"'
Autor:
Phawis Thammasorn, Stephanie K. Schaub, Daniel S. Hippe, Matthew B. Spraker, Jan C. Peeken, Landon S. Wootton, Paul E. Kinahan, Stephanie E. Combs, Wanpracha A. Chaovalitwongse, Matthew J. Nyflot
Publikováno v:
IEEE Access, Vol 10, Pp 8005-8020 (2022)
State-of-the-art deep survival prediction approaches expand network parameters to accommodate performance over a fine discretization of output time. For medical applications where data are limited, the regression-based Deepsurv approach is more advan
Externí odkaz:
https://doaj.org/article/c12a178c8534438380a3c36935a723ef
Publikováno v:
Engineering, Vol 7, Iss 4, Pp 435-447 (2021)
The normal operation of aircraft and flights can be affected by various unpredictable factors, such as severe weather, airport closure, and corrective maintenance, leading to disruption of the planned schedule. When a disruption occurs, the airline o
Externí odkaz:
https://doaj.org/article/5d9d5cf85ab2493fbf4cdc2e0f2ab8cd
Autor:
Matthew J. Nyflot, Wanpracha Art Chaovalitwongse, Eric C. Ford, Daniel S. Hippe, Matthew B. Spraker, Phawis Thammasorn, Stephanie E. Combs, L. Wootton, Jan C. Peeken
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:586-600
Multi-view classification with limited sample size and data augmentation is a very common machine learning (ML) problem in medicine. With limited data, a triplet network approach for two-stage representation learning has been proposed. However, effec
Publikováno v:
IEEE Transactions on Big Data. 7:819-831
The sudden and spontaneous occurrence of epileptic seizures can impose a significant burden on patients with epilepsy. If seizure onset can be prospectively predicted, it could greatly improve the life of patients with epilepsy and also open new ther
Publikováno v:
Engineering, Vol 7, Iss 4, Pp 435-447 (2021)
The normal operation of aircraft and flights can be affected by various unpredictable factors, such as severe weather, airport closure, and corrective maintenance, leading to disruption of the planned schedule. When a disruption occurs, the airline o
Publikováno v:
Frontiers of Engineering Management. 7:1-26
The airline industry is a representative industry with high cost and low profitability. Therefore, airlines should carefully plan their schedules to ensure that overall profit is maximized. We review the literature on airline planning and scheduling
Publikováno v:
INFORMS Journal on Computing. 32:182-198
Feature selection is at the heart of machine learning, and it is effective at facilitating data interpretability and improving prediction performance by defying the curse of dimensionality. Group feature selection is often used to reveal relationship
Publikováno v:
International Journal of Pharma Medicine and Biological Sciences. 9:96-101
Publikováno v:
IEEE Transactions on Evolutionary Computation. 23:718-731
A comprehensive learning particle swarm optimizer (CLPSO) embedded with local search (LS) is proposed to pursue higher optimization performance by taking the advantages of CLPSO’s strong global search capability and LS’s fast convergence ability.
Publikováno v:
Optimization Letters. 14:521-533
This paper presents a new mathematical programming model and a solution approach for a special class of graph partitioning problem. The problem studied here is in the context of distributed web search, in which a very large world-wide-web graph is pa