Interpretability of Machine Learning: Recent Advances and Future Prospects

30 April 2023

Papers citing "Interpretability of Machine Learning: Recent Advances and Future Prospects"

6 / 6 papers shown

Title
AI-ming backwards: Vanishing archaeological landscapes in Mesopotamia and automatic detection of sites on CORONA imageryPLoS ONE (PLoS ONE), 2025 Alessandro Pistola V. Orrù N. Marchetti M. Roccetti 88 0 0 17 Jul 2025
Visualizing Machine Learning Models for Enhanced Financial Decision-Making and Risk Management Priyam Ganguly Ramakrishna Garine Isha Mukherjee 157 3 0 24 Feb 2025
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling Rikab Gambhir Athis Osathapan Jesse Thaler 213 3 0 13 Mar 2024
Learning Concept-Based Causal Transition and Symbolic Reasoning for Visual PlanningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Yilue Qian Peiyu Yu Ying Nian Wu Yao Su Wei Wang Lifeng Fan LRM 320 3 0 05 Oct 2023
FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation Dhruv Pai Andres Carranza Rylan Schaeffer Arnuv Tandon Oluwasanmi Koyejo AAML 169 2 0 20 Jul 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 2.3K 19,614 0 16 Feb 2016