Jacob Sanderson

According to our database, Jacob Sanderson authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks.

Jacob Sanderson, Hua Mao, Wai Lok Woo

IEEE Trans. Artif. Intell., October, 2025

DiPACE: Diverse, Plausible and Actionable Counterfactual Explanations.

Jacob Sanderson, Hua Mao, Wai Lok Woo

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

2024

Explainable Deep Semantic Segmentation for Flood Inundation Mapping with Class Activation Mapping Techniques.

Jacob Sanderson, Hua Mao, Naruephorn Tengtrairat, Raid Rafi Omar Al-Nima, Wai Lok Woo

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Optimal Fusion of Multispectral Optical and SAR Images for Flood Inundation Mapping through Explainable Deep Learning.

Jacob Sanderson, Hua Mao, Mohammed A. M. Abdullah, Raid Rafi Omar Al-Nima, Wai Lok Woo

Inf., 2023