Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
-
A unified automated innovization framework using threshold-based clustering
S Mittal, D Kumar, SK Deb. Cited by 5
-
Electric energy demand forecasting with explainable time-series modeling
JY Kim, SB Cho. Cited by 12
-
Voice usability scale: measuring the user experience with voice assistants
DS Zwakman, D Pal, T Triyason, C Arpnikanondt. Cited by 20
-
Cross-media keyphrase prediction: A unified framework with multi-modality multi-head attention and image wordings
Y Wang, J Li, MR Lyu, I King. Cited by 21
-
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules
A Valdivia, E Martínez-Cámara, I Chaturvedi, MV Luzón, E Cambria, et al. Cited by 37
-
Deep neural network feature selection approaches for data-driven prognostic model of aircraft engines
P Khumprom, D Grewell, N Yodo. Cited by 43
-
Data Mining Based Prediction of Malnutrition in Afghan Children
Z Momand, P Mongkolnam, P Kositpanthavong, JH Chan. Cited by 42
-
A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis
TN Pandey, AK Jagadev, S Dehuri, SB Cho. Cited by 49
-
A hybrid flux balance analysis and machine learning pipeline elucidates metabolic adaptation in cyanobacteria
S Vijayakumar, PKSM Rahman, C Angione. Cited by 71
-
What it Thinks is Important is Important: Robustness Transfers through Input Gradients
A Chan, Y Tay, YS Ong. Cited by 56
-
3D-convolutional neural network with generative adversarial network and autoencoder for robust anomaly detection in video surveillance
W Shin, SJ Bu, SB Cho. Cited by 57
-
Poison attacks against text datasets with conditional adversarially regularized autoencoder
A Chan, Y Tay, YS Ong, A Zhang. Cited by 65