Efficient Saliency Maps for Explainable AI

26 November 2019

Papers citing "Efficient Saliency Maps for Explainable AI"

8 / 8 papers shown

Title
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI Jiaxin Xu Hung Chau Angela Burden TDI 50 0 0 18 Feb 2025
A Novel Explainable Artificial Intelligence Model in Image Classification problem Quoc Hung Cao Hung Truong Thanh Nguyen V. Nguyen Xuan Phong Nguyen VLM 21 5 0 09 Jul 2023
Two-step interpretable modeling of Intensive Care Acquired Infections Giacomo Lancia Meri Varkila O. Cremer C. Spitoni 17 0 0 26 Jan 2023
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations Maximilian Schlüter Gerrit Nolte Alnis Murtovi Bernhard Steffen 21 6 0 19 Jan 2023
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos Tong Wang Qihang Lin Xun Zhou 8 7 0 06 Nov 2022
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions Alexander Pugantsov R. McCreadie 18 0 0 02 Feb 2022
Explaining neural network predictions of material strength Ian Palmer T. Nathan Mundhenk B. J. Gallagher Yong Han 19 2 0 05 Nov 2021
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease Abbas Raza Ali M. Budka 24 5 0 29 Apr 2021