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Is Machine Learning Really Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsideration from Recidivism Prediction Tasks Journal article
Liu, Jianhong, Li, Dianshi Moses. Is Machine Learning Really Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsideration from Recidivism Prediction Tasks[J]. Asian Journal of Criminology, 2024, 19(2), 143-159.
Authors:  Liu, Jianhong;  Li, Dianshi Moses
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.8/1.9 | Submit date：2024/08/05
Black-box Algorithms  Computational Social Science  Explainable Artificial Intelligence  Interpretability Of Algorithms  Recidivism Prediction  
DEFORMMLP: DYNAMIC LARGE-SCALE RECEPTIVE FIELD MLP NETWORKS FOR HUMAN MOTION PREDICTION Conference paper
Huang, Haitao, Pun, Chi Man, Li, Haolun, Liu, Mengqi, Xiong, Jian, Gao, Hao. DEFORMMLP: DYNAMIC LARGE-SCALE RECEPTIVE FIELD MLP NETWORKS FOR HUMAN MOTION PREDICTION[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 5200-5204.
Authors:  Huang, Haitao;  Pun, Chi Man;  Li, Haolun;  Liu, Mengqi;  Xiong, Jian; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/07/04
Three-dimensional Displays  Computational Modeling  Semantics  Benchmark Testing  Signal Processing  Predictive Models  Transformers  Human Motion Prediction  Mlp  Spatiotemporal Modeling  
Learning whom to cooperate with: neurocomputational mechanisms for choosing cooperative partners Journal article
Jin, Tao, Zhang, Shen, Lockwood, Patricia, Vilares, Iris, Wu, Haiyan, Liu, Chao, Ma, Yina. Learning whom to cooperate with: neurocomputational mechanisms for choosing cooperative partners[J]. CEREBRAL CORTEX, 2022, 33(8), 4612-4625.
Authors:  Jin, Tao;  Zhang, Shen;  Lockwood, Patricia;  Vilares, Iris;  Wu, Haiyan; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:2.9/3.7 | Submit date：2023/05/02
Computational Modeling  Cooperation-partner Selection  Multivariate Pattern  Prediction Errors  Vicarious Learning  
Comparative comprehension on the anti-rheumatic Chinese herbal medicine Siegesbeckiae Herba: Combined computational predictions and experimental investigations Journal article
Zhang Q.R., Zhong Z.F., Sang W., Xiong W., Tao H.X., Zhao G.D., Li Z.X., Ma Q.S., Tse A.K.W., Hu Y.J., Yu H., Wang Y.T.. Comparative comprehension on the anti-rheumatic Chinese herbal medicine Siegesbeckiae Herba: Combined computational predictions and experimental investigations[J]. Journal of Ethnopharmacology, 2019, 228, 200-209.
Authors:  Zhang Q.R.;  Zhong Z.F.;  Sang W.;  Xiong W.;  Tao H.X.; et al.
Favorite | TC[WOS]:23 TC[Scopus]:25  IF:4.8/4.8 | Submit date：2018/12/28
Computational Prediction  Difference  Rheumatoid Arthritis  Siegesbeckiae Herba  Similarity