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Learning Convolutional Ranking-Score Function by Query Preference Regularization.

, , , , , , and . IDEAL, volume 10585 of Lecture Notes in Computer Science, page 1-8. Springer, (2017)

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An effective genetic algorithm for the flexible job-shop scheduling problem., , and . Expert Syst. Appl., 38 (4): 3563-3573 (2011)Learning Convolutional Ranking-Score Function by Query Preference Regularization., , , , , , and . IDEAL, volume 10585 of Lecture Notes in Computer Science, page 1-8. Springer, (2017)Analyzing the impact of false-accident cyber attacks on traffic flow stability in connected vehicle environment., , , , and . ICCVE, page 616-621. IEEE, (2013)Hybrid multiobjective evolutionary algorithm considering combination timing for multi-type vehicle routing problem with time windows., , , , and . Comput. Ind. Eng., (2022)Scheduling flexible job shop in dynamic environment based on a memetic algorithm., , , and . ICCI*CC, page 407-412. IEEE Computer Society, (2012)Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times., , , , and . Eng. Appl. Artif. Intell., (2024)Expert-Guided Deep Reinforcement Learning for Flexible Job Shop Scheduling Problem., , , , , and . BIC-TA (2), volume 2062 of Communications in Computer and Information Science, page 50-60. Springer, (2023)Lithium-ion battery remaining useful life prediction with Deep Belief Network and Relevance Vector Machine., , , , and . ICPHM, page 7-13. IEEE, (2017)An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem., , , and . Comput. Ind. Eng., 56 (4): 1309-1318 (2009)Extracting and Predicting Taxi Hotspots in Spatiotemporal Dimensions Using Conditional Generative Adversarial Neural Networks., , , , and . IEEE Trans. Veh. Technol., 69 (4): 3680-3692 (2020)