15 citations · 17 across the 9 of their papers we have counts for
5 papers · 1 filter
Enhanced Agriculture-informed Neural Network by Domain Knowledge
Ci Lin, Futong Li, Rose Chong-Wu +2
Accurate prediction of nitrous oxide (N2O) emissions from agriculture is important for assessing environmental impacts and supporting sustainable farming. However, prediction remai…
Preserving Temporal Dynamics in Time Series Generation
Ci Lin, Futong Li, Tet Yeap +1
Time-series data augmentation plays a crucial role in regression-oriented forecasting tasks, where limited data restricts the performance of deep learning models. While Generative…
DeepDefense: Robust Learning via Layer-Wise Gradient-Feature Alignment
Ci Lin, Tet Yeap, Iluju Kiringa
Deep neural networks are known to be vulnerable to adversarial perturbations, which are small, carefully crafted inputs that lead to incorrect predictions. In this paper, we propos…
Robust Bidirectional Associative Memory via Regularization Inspired by the Subspace Rotation Algorithm
Ci Lin, Tet Yeap, Iluju Kiringa
Bidirectional Associative Memory (BAM) trained with Bidirectional Backpropagation (B-BP) often suffers from poor robustness and high sensitivity to noise and adversarial attacks. T…
Exploring Deep Anomaly Detection Methods Based on Capsule Net
Xiaoyan Li, Iluju Kiringa, Tet Yeap +2
In this paper, we develop and explore deep anomaly detection techniques based on the capsule network (CapsNet) for image data. Being able to encoding intrinsic spatial relationship…