Browsing byAuthorLiu, T

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 94 to 113 of 155< previous   next >
Issue DateTitleAuthor(s)
2018-06-15Network modeling of microRNA-mRNA interactions in neuroblastoma tumorigenesis identifies miR-204 as a direct inhibitor of MYCNOoi, CY; Carter, DR; Liu, B; Mayoh, C; Beckers, A; Lalwani, A; Nagy, Z; De Brouwer, S; Decaesteker, B; Hung, TT; Norris, MD; Haber, M; Liu, T; De Preter, K; Speleman, F; Cheung, BB; Marshall, GM
2015-10-01No Reference Quality Assessment for Multiply-Distorted Images Based on an Improved Bag-of-Words ModelLu, Y; Xie, F; Liu, T; Jiang, Z; Tao, D
2018-10-26NOS.E: A New Fast Response Electronic Nose Health Monitoring SystemZhang, W; Liu, T; Zhang, M; Zhang, Y; Li, H; Ueland, M; Forbes, SL; Rosalind Wang, X; Su, SW
2019-03-01A novel data pre-processing method for odour detection and identification systemZhang, W; Liu, T; Ye, L; Ueland, M; Forbes, SL; Su, SW
2019-11-01A novel multi-odour identification by electronic nose using non-parametric modelling-based feature extraction and time-series classificationLiu, T; Zhang, W; Ye, L; Ueland, M; Forbes, SL; Su, SW
2019-03-15A novel orthogonalized fractional order filtered-x normalized least mean squares algorithm for feedforward vibration rejectionYin, W; Wei, Y; Liu, T; Wang, Y
2022-12-01Occurrence of nitrite-dependent anaerobic methane oxidation bacteria in the continental shelf sedimentsCheng, J; You, H; Tian, M; Kuang, S; Liu, S; Chen, H; Li, X; Liu, H; Liu, T
2018-05-01On better exploring and exploiting task relationships in multitask learning: Joint model and feature learningLi, Y; Tian, X; Liu, T; Tao, D
2017-11-06On compressing deep models by low rank and sparse decompositionYu, X; Liu, T; Wang, X; Tao, D
2020-09-25On the learnability of quantum neural networksDu, Y; Hsieh, M-H; Liu, T; You, S; Tao, D
2021-01-01One-shot neural architecture search via novelty driven samplingZhang, M; Li, H; Pan, S; Liu, T; Su, S
2016-01-01Optimal mode selection with uplink data rate maximization for D2D-aided underlaying cellular networksSun, J; Liu, T; Wang, X; Xing, C; Xiao, H; Vasilakos, AV; Zhang, Z
2021-04Orthogonal Deep Neural Networks.Li, S; Jia, K; Wen, Y; Liu, T; Tao, D
2022-11-01Polarization Selective Partial Reflective Decoupling Layers for Mutual Coupling Reduction of Two Closely Spaced Dual-Polarized AntennasZhao, G; Liu, T; Jiang, J; Zhao, L; Huang, GL; Lin, W
2012-04-02Predicting the development of mild cognitive impairment: A new use of pattern recognitionCui, Y; Sachdev, PS; Lipnicki, DM; Jin, JS; Luo, S; Zhu, W; Kochan, NA; Reppermund, S; Liu, T; Trollor, JN; Brodaty, H; Wen, W
2023-02-26Preparation and Characterization of Polylactic Acid/Nano Hydroxyapatite/Nano Hydroxyapatite/Human Acellular Amniotic Membrane (PLA/nHAp/HAAM) Hybrid Scaffold for Bone Tissue Defect Repair.Jia, Z; Ma, H; Liu, J; Yan, X; Liu, T; Cheng, YY; Li, X; Wu, S; Zhang, J; Song, K
2021Probabilistic Margins for Instance Reweighting in Adversarial TrainingWang, Q; Liu, F; Han, B; Liu, T; Gong, C; Niu, G; Zhuo, M; Sugiyama, M
2021-01-01Probabilistic Margins for Instance Reweighting in Adversarial TrainingWang, Q; Liu, F; Han, B; Liu, T; Gong, C; Niu, G; Zhou, M; Sugiyama, M
2022-08-01Quantum Differentially Private Sparse Regression LearningDu, Y; Hsieh, MH; Liu, T; You, S; Tao, D
2020-07-23Quantum Differentially Private Sparse Regression LearningDu, Y; Hsieh, M-H; Liu, T; You, S; Tao, D