15 citations · 17 across the 9 of their papers we have counts for
10 papers
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…
Obligation-Producing Actions
Kalonji Kalala, Iluju Kiringa, Tet Yeap
This paper proposes a Situation Calculus solution to the frame problem for obligation-producing actions, which are actions that create obligations on the part of the agent that per…
Robust Auto-associative Memory via Convolutional Restricted Hopfield Networks
Ci Lin, Tet Yeap, Iluju Kiringa
Associative memory models play a fundamental role in pattern retrieval, but their performance often degrades under adversarial perturbations and severe input corruptions. Existing…
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…
Specifying an Obligation Taxonomy in the Non-Markovian Situation Calculus
Kalonji Kalala, Iluju Kiringa, Tet Yeap
Over more than three decades, the Situation Calculus has established itself as an elegant, powerful, and concise formalism for specifying dynamical domains as well as for reasoning…
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…
The Conceptual Integration Modeling Framework: Abstracting from the Multidimensional Model
Flavio Rizzolo, Iluju Kiringa, Rachel Pottinger +1
Data warehouses are overwhelmingly built through a bottom-up process, which starts with the identification of sources, continues with the extraction and transformation of data from…
Matching Dependencies with Arbitrary Attribute Values: Semantics, Query Answering and Integrity Constraints
Jaffer Gardezi, Leopoldo Bertossi, Iluju Kiringa
Matching dependencies (MDs) were introduced to specify the identification or matching of certain attribute values in pairs of database tuples when some similarity conditions are sa…