UM

Browse/Search Results:  1-5 of 5 Help

Selected(0)Clear Items/Page:    Sort:
Disease-specific resting-state EEG network variations in schizophrenia revealed by the contrastive machine learning Journal article
Li, Fali, Wang, Guangying, Jiang, Lin, Yao, Dezhong, Xu, Peng, Ma, Xuntai, Dong, Debo, He, Baoming. Disease-specific resting-state EEG network variations in schizophrenia revealed by the contrastive machine learning[J]. Brain Research Bulletin, 2023, 202, 110744.
Authors:  Li, Fali;  Wang, Guangying;  Jiang, Lin;  Yao, Dezhong;  Xu, Peng; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:3.5/3.6 | Submit date:2023/09/22
Contrastive Variational Autoencoders  Disease-specific Network Patterns  Network Disconnectivity  Schizophrenia  
Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation Conference paper
Liu,Wei, U,Leong Hou, Liang,Shangsong, Zhu,Huaijie, Yu,Jianxing, Liu,Yubao, Yin,Jian. Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation[C]:Springer Science and Business Media Deutschland GmbH, 2023, 563-573.
Authors:  Liu,Wei;  U,Leong Hou;  Liang,Shangsong;  Zhu,Huaijie;  Yu,Jianxing; et al.
Favorite | TC[Scopus]:2 | Submit date:2023/08/03
Collaborative Filtering  Implicit Feedback  Recommendation  Variational Autoencoders  
Embedding 3D models in offline physical environments Journal article
Egemen Ertugrul, Han Zhang, Fang Zhu, Ping Lu, Ping Li, Bin Sheng, Enhua Wu. Embedding 3D models in offline physical environments[J]. COMPUTER ANIMATION AND VIRTUAL WORLDS, 2020, 31(4-5), e1959.
Authors:  Egemen Ertugrul;  Han Zhang;  Fang Zhu;  Ping Lu;  Ping Li; et al.
Favorite | TC[WOS]:11 TC[Scopus]:15  IF:0.9/1.1 | Submit date:2021/12/06
3d Data Compression  Augmented Reality  Autoencoders  Human–computer Interaction  Robotics And Vision  Ubiquitous Computing  Volume Rendering  
Multiscale Superpixel-Based Hyperspectral Image Classification Using Recurrent Neural Networks with Stacked Autoencoders Journal article
Shi,Cheng, Pun,Chi Man. Multiscale Superpixel-Based Hyperspectral Image Classification Using Recurrent Neural Networks with Stacked Autoencoders[J]. IEEE Transactions on Multimedia, 2020, 22(2), 487-501.
Authors:  Shi,Cheng;  Pun,Chi Man
Favorite | TC[WOS]:63 TC[Scopus]:67  IF:8.4/8.0 | Submit date:2021/03/11
Hyperspectral Image Classification  Local And nonLocal Similarities  Recurrent Neural Networks  Stacked Autoencoders  
Data selection via semi-supervised recursive autoencoders for SMT domain adaptation Conference paper
Lu Y., Wong D.F., Chao L.S., Wang L.. Data selection via semi-supervised recursive autoencoders for SMT domain adaptation[C], 2014, 13-23.
Authors:  Lu Y.;  Wong D.F.;  Chao L.S.;  Wang L.
Favorite | TC[WOS]:2 TC[Scopus]:1 | Submit date:2018/12/24
Data Selection  Domain Adaptation  Recursive Autoencoders  Semi-supervise  Statistical Machine Translation