Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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Deep Learning for Graph Anomaly Detection
H Qiao, H Tong, B An, I King, C Aggarwal, G Pang
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Decoding Market Dynamics: Variational Quantum Circuit in Stock Prediction
BC Sahoo, SK Satapathy, SB Cho, S Mishra
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Corrigendum to''Surrogate models for seismic and pushover response prediction of steel special moment resisting frames''[Eng. Struct., 314 (2024) 118307]
D Samadian, IB Muhit, A Occhipinti, J Fayaz, N Dawood
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Comparative evaluation of deep learning techniques for multistage Alzheimer's prediction from magnetic resonance images
P Gupta, P Nahak, V Kumar, DK Pratihar, K Deb
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A Feature Engineering Approach to Improve Clustering-Based Persona Generation
T Wongabut, U Ninrutsirikun, C Nukoolkit, P Lavangnananda, K Warasup, et al.
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A FUSION MODEL FOR STOCK MARKET PREDICTION USING PROPHET AND LONG SHORT-TERM MEMORY NEURAL NETWORKS
S Mishra, N Manjunathan, P Singh, SK Satapathy, SB Cho, SN Mohanty
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Traffic prediction by graph transformer embedded with subgraphs
HJ Moon, SB Cho. Cited by 2
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Enhancing deep learning for demand forecasting to address large data gaps
C Riachy, M He, S Joneidy, S Qin, T Payne, G Boulton, A Occhipinti, et al. Cited by 18
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Deep graph anomaly detection: A survey and new perspectives
H Qiao, H Tong, B An, I King, C Aggarwal, G Pang. Cited by 85
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Multi-modal Hierarchical Clustering Network for Cancer Subtype Identification of Multi-omics Data
F Lin, J Xu, Y Ren, J Chen, I King, Z Xu
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FinSIR: Financial SIR-GCN for Market-Aware Stock Recommendation
BG Lim, J Liu, HJJ Ong, JA Chan, RRP Tan, I King, K Ikeda
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PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
Z Meng, Q Wang, D Zhiyang, S Zixing, Z Zhou, I King, P Zhao