UM

Browse/Search Results:  1-10 of 12 Help

Selected(0)Clear Items/Page:    Sort:
Deep Heuristic Evolutionary Regression Model Based on the Fusion of BiGRU and BiLSTM Journal article
Xu,Lixiang, Xu,Wei, Cui,Qingzhe, Li,Mengying, Luo,Bin, Tang,Yuanyan. Deep Heuristic Evolutionary Regression Model Based on the Fusion of BiGRU and BiLSTM[J]. Cognitive Computation, 2023, 15(5), 1672-1686.
Authors:  Xu,Lixiang;  Xu,Wei;  Cui,Qingzhe;  Li,Mengying;  Luo,Bin; et al.
Favorite | TC[WOS]:1 TC[Scopus]:4  IF:4.3/4.0 | Submit date:2023/08/03
Cognitive Computing  Gated Recurrent Neural Network  Group Method Of Data Handling  Long Short-term Memory  Stock Prediction  
An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features Journal article
Li, Jia Wen, Chen, Rong Jun, Barma, Shovan, Chen, Fei, Pun, Sio Hang, Mak, Peng Un, Wang, Lei Jun, Zeng, Xian Xian, Ren, Jin Chang, Zhao, Hui Min. An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features[J]. Cognitive Computation, 2022, 14(6), 2260-2273.
Authors:  Li, Jia Wen;  Chen, Rong Jun;  Barma, Shovan;  Chen, Fei;  Pun, Sio Hang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.3/4.0 | Submit date:2022/12/01
Asymmetric Features  Brain Rhythm Sequencing  Electroencephalography  Emotion Recognition  Symmetrical Channels  
A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine Journal article
Yang, Zhao Xu, Rong, Hai Jun, Wong, Pak Kin, Angelov, Plamen, Vong, Chi Man, Chiu, Chi Wai, Yang, Zhi Xin. A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine[J]. Cognitive Computation, 2022, 14(2), 828-851.
Authors:  Yang, Zhao Xu;  Rong, Hai Jun;  Wong, Pak Kin;  Angelov, Plamen;  Vong, Chi Man; et al.
Favorite | TC[WOS]:15 TC[Scopus]:11  IF:4.3/4.0 | Submit date:2022/05/13
Engine Knock Detection  Multiple Feature Learning  Sample Entropy  Sparse Bayesian Extreme Learning Machine  Variational Mode Decomposition  
Social Group Optimization–Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images Journal article
Nilanjan Dey, V. Rajinikanth, Simon James Fong, M. Shamim Kaiser, Mufti Mahmud. Social Group Optimization–Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images[J]. Cognitive Computation, 2020, 12(5), 1011-1023.
Authors:  Nilanjan Dey;  V. Rajinikanth;  Simon James Fong;  M. Shamim Kaiser;  Mufti Mahmud
Favorite | TC[WOS]:64 TC[Scopus]:88  IF:4.3/4.0 | Submit date:2021/03/09
Covid-19 Infection  Ct Scan Image  Fused Feature Vector  Knn Classifier  Segmentation And Detection Accuracy  
Ensemble p-Laplacian Regularization for Scene Image Recognition Journal article
Ma, Xueqi, Liu, Weifeng, Tao, Dapeng, Zhou, Yicong. Ensemble p-Laplacian Regularization for Scene Image Recognition[J]. Cognitive Computation, 2019, 11(6), 841-854.
Authors:  Ma, Xueqi;  Liu, Weifeng;  Tao, Dapeng;  Zhou, Yicong
Favorite | TC[WOS]:16 TC[Scopus]:20  IF:4.3/4.0 | Submit date:2022/05/17
Ensemble P-laplacian Regularization  Manifold Regularization  Semi-supervised Learning  
Multi-View CNN Feature Aggregation with ELM Auto-Encoder for 3D Shape Recognition Journal article
Yang, Zhi-Xin, Tang, Lulu, Zhang, Kun, Wong, Pak Kin. Multi-View CNN Feature Aggregation with ELM Auto-Encoder for 3D Shape Recognition[J]. COGNITIVE COMPUTATION, 2018, 10(6), 908-921.
Authors:  Yang, Zhi-Xin;  Tang, Lulu;  Zhang, Kun;  Wong, Pak Kin
Favorite | TC[WOS]:38 TC[Scopus]:46  IF:4.3/4.0 | Submit date:2019/01/17
Elm Auto-encoder  Convolutional Neural Networks  3d Shape Recognition  Multi-view Feature Aggregation  
Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation Journal article
Liu, Yan, Vong, Chi Man, Wong, Pak Kin. Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation[J]. COGNITIVE COMPUTATION, 2017, 9(2), 285-294.
Authors:  Liu, Yan;  Vong, Chi Man;  Wong, Pak Kin
Favorite | TC[WOS]:11 TC[Scopus]:14  IF:4.3/4.0 | Submit date:2018/10/30
Re-ranking  Extreme Learning Machine  Scaled Sorted Classification Re-ranking  Statistical Machine Translation  
Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation Journal article
Liu, Y., Vong, C. M., Wong, P. K.. Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation[J]. Cognitive Computation (SCI-E), 2017, 285-294.
Authors:  Liu, Y.;  Vong, C. M.;  Wong, P. K.
Favorite |   IF:4.3/4.0 | Submit date:2022/08/09
Re-ranking  Extreme learning machine  Scaled sorted classification re-ranking  Statistical machine  
An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias Journal article
Wong, Pak Kin, Gao X.H., Wong K.I., Vong C.M.. An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias[J]. Cognitive Computation, 2016, 8(4), 746-756.
Authors:  Wong, Pak Kin;  Gao X.H.;  Wong K.I.;  Vong C.M.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:4.3/4.0 | Submit date:2019/02/13
Extreme Learning Machine  Inductive Bias  Multiclass  Reasoning  
An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias Journal article
Wong, P. K., Gao, X., Wong, K. I., Vong, C. M.. An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias[J]. Cognitive Computation (SCI-E), 2016, 746-756.
Authors:  Wong, P. K.;  Gao, X.;  Wong, K. I.;  Vong, C. M.
Favorite |   IF:4.3/4.0 | Submit date:2022/08/09
Extreme Learning Machine  Inductive Bias  Reasoning  Multiclass