UM

Browse/Search Results:  1-10 of 60 Help

Selected(0)Clear Items/Page:    Sort:
Learning cognitive embedding using signed knowledge interaction graph Journal article
Huo, Yujia, Wong, Derek F., Ni, Lionel M., Chao, Lidia S., Zhang, Jing, Zuo, Xin. Learning cognitive embedding using signed knowledge interaction graph[J]. Knowledge-Based Systems, 2021, 229, 107327.
Authors:  Huo, Yujia;  Wong, Derek F.;  Ni, Lionel M.;  Chao, Lidia S.;  Zhang, Jing; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:7.2/7.4 | Submit date:2021/12/08
Knowledge Representation  Representation Learning  Signed Interaction Graph  
Trajectories of COVID-19 vaccine intentions among U.S. adults: The role of race and ethnicity Journal article
Niño, M., Hearne, B., Cai, T.. Trajectories of COVID-19 vaccine intentions among U.S. adults: The role of race and ethnicity[J]. SSM-Population Health, 2021, NA-NA.
Authors:  Niño, M.;  Hearne, B.;  Cai, T.
Favorite |   IF:3.6/3.9 | Submit date:2022/06/22
COVID-19  Vaccine intentions  Race Racism  Infectious diseases  
Energy efficient behavioural trends in residential sectors for low-income cultural background: A case-study of slums in Chittagong, Bangladesh Conference paper
Uddin, M. N., Anwer, Shahnawaz, Wei, Hsi Hsien, Chi, Hung Lin, Ni, Meng, Tamanna, N.. Energy efficient behavioural trends in residential sectors for low-income cultural background: A case-study of slums in Chittagong, Bangladesh[C]:Association of Researchers in Construction Management, 2021, 774-783.
Authors:  Uddin, M. N.;  Anwer, Shahnawaz;  Wei, Hsi Hsien;  Chi, Hung Lin;  Ni, Meng; et al.
Favorite | TC[Scopus]:1 | Submit date:2022/05/13
Energy Efficiency  Residential  Slums  Statistical Analysis  
HeTROPY: Explainable learning diagnostics via heterogeneous maximum-entropy and multi-spatial knowledge representation Journal article
Huo,Yujia, Wong,Derek F., Ni,Lionel M., Chao,Lidia S., Zhang,Jing. HeTROPY: Explainable learning diagnostics via heterogeneous maximum-entropy and multi-spatial knowledge representation[J]. Knowledge-Based Systems, 2020, 207, 106389.
Authors:  Huo,Yujia;  Wong,Derek F.;  Ni,Lionel M.;  Chao,Lidia S.;  Zhang,Jing
Favorite | TC[WOS]:10 TC[Scopus]:11  IF:7.2/7.4 | Submit date:2021/03/11
Causal Reasoning  Knowledge Representation  Learning Diagnostics  Relation Prediction  
HeTROPY: Explainable Learning Diagnostics Via Heterogeneous Maximum-Entropy and Multi-Spatial Knowledge Representation Journal article
Huo, Y., Wong, F., Ni, M., Chao, S., Zhang, J.. HeTROPY: Explainable Learning Diagnostics Via Heterogeneous Maximum-Entropy and Multi-Spatial Knowledge Representation[J]. Knowledge-Based Systems, 2020, 1-10.
Authors:  Huo, Y.;  Wong, F.;  Ni, M.;  Chao, S.;  Zhang, J.
Favorite |   IF:7.2/7.4 | Submit date:2022/08/08
Causal Reasoning  Knowledge Representation  Learning Diagnostics  Relation Prediction  
Knowledge Modeling via Contextualized Representations for LSTM-based Personalized Exercise Recommendation Journal article
Huo, Y., Wong, F., Chao, S., Ni, M., Zhang, J.. Knowledge Modeling via Contextualized Representations for LSTM-based Personalized Exercise Recommendation[J]. Information Sciences, 2020, 266-278.
Authors:  Huo, Y.;  Wong, F.;  Chao, S.;  Ni, M.;  Zhang, J.
Favorite |   IF:0/0 | Submit date:2022/08/08
Personalized learning  Knowledge tracing  LSTM  Context representation  Exercise recommendation  
Knowledge modeling via contextualized representations for LSTM-based personalized exercise recommendation Journal article
Huo,Yujia, Wong,Derek F., Ni,Lionel M., Chao,Lidia S., Zhang,Jing. Knowledge modeling via contextualized representations for LSTM-based personalized exercise recommendation[J]. INFORMATION SCIENCES, 2020, 523, 266-278.
Authors:  Huo,Yujia;  Wong,Derek F.;  Ni,Lionel M.;  Chao,Lidia S.;  Zhang,Jing
Favorite | TC[WOS]:46 TC[Scopus]:71  IF:0/0 | Submit date:2021/03/11
Context Representation  Exercise Recommendation  Knowledge Tracing  Lstm  Personalized Learning  
A Novel Scheme Based on the Diffusion to Edge Detection Journal article
He, Yuesheng, Ni, Lionel M.. A Novel Scheme Based on the Diffusion to Edge Detection[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 28(4), 1613-1624.
Authors:  He, Yuesheng;  Ni, Lionel M.
Favorite | TC[WOS]:17 TC[Scopus]:23  IF:10.8/12.1 | Submit date:2019/01/17
Image Processing  Diffusion  Edge Detection  Sobolev Space  Bessel Potential  
Towards Personalized Learning Through Class Contextual Factors-Based Exercise Recommendation Conference paper
Huo, Yujia, Xiao, Jiang, Ni, Lionel M.. Towards Personalized Learning Through Class Contextual Factors-Based Exercise Recommendation[C], 2019, 85-92.
Authors:  Huo, Yujia;  Xiao, Jiang;  Ni, Lionel M.
Favorite | TC[WOS]:9 TC[Scopus]:12 | Submit date:2022/04/15
Attribute-based Recommendation  Learning Remediation  Performance Prediction  Personalized Learning  Q-matrix  Recommender Systems  
Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit Conference paper
He, Bing, Zhang, Dian, Liu, Siyuan, Liu, Hao, Han, Dawei, Ni, Lionel M.. Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit[C], 2019, 1387-1396.
Authors:  He, Bing;  Zhang, Dian;  Liu, Siyuan;  Liu, Hao;  Han, Dawei; et al.
Favorite | TC[WOS]:9 TC[Scopus]:14 | Submit date:2022/04/15
Company Profit  Driver Behavior Profiling  Personalized Insurance Pricing  Trajectory Data Mining