Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience

7 February 2022

Papers citing "Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience"

21 / 21 papers shown

Title
Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-being Esperança Amengual-Alcover Antoni Jaume-i-Capó Miquel Miró-Nicolau Gabriel Moyà Alcover Antonia Paniza-Fullana 37 0 0 11 Apr 2025
Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences Anushka Narayanan Karianne J. Bergen 31 1 0 22 Oct 2024
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves Alessandro Lovo Amaury Lancelin Corentin Herbert Freddy Bouchet AI4CE 28 0 0 01 Oct 2024
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications Tom Beucler Arthur Grundner Sara Shamekh Peter Ukkonen Matthew Chantry Ryan Lagerquist 48 0 0 04 Aug 2024
Applications of Explainable artificial intelligence in Earth system science Feini Huang Shijie Jiang Lu Li Yongkun Zhang Ye Zhang Ruqing Zhang Qingliang Li Danxi Li Wei Shangguan Yongjiu Dai 38 2 0 12 Jun 2024
Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks Michail Mamalakis Antonios Mamalakis Ingrid Agartz L. Morch-Johnsen Graham K Murray J. Suckling Pietro Lio' 56 1 0 16 May 2024
Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts Kinya Toride Matthew Newman Andrew Hoell A. Capotondi Jakob Schlör Dillon Amaya 30 0 0 23 Apr 2024
Interpretable Machine Learning for Weather and Climate Prediction: A Survey Ruyi Yang Jingyu Hu Zihao Li Jianli Mu Tingzhao Yu Jiangjiang Xia Xuhong Li Aritra Dasgupta Haoyi Xiong AI4CE 31 4 0 24 Mar 2024
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Kenfack 23 4 0 28 Nov 2023
Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations Datasets Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover XAI 42 11 0 03 Nov 2023
Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations Da Fan S. Greybush David John Gagne E. Clothiaux 14 1 0 24 Oct 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources J. Willard C. Varadharajan X. Jia Vipin Kumar AI4TS 22 3 0 18 Aug 2023
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges Karan Jakhar Yifei Guan R. Mojgani A. Chattopadhyay P. Hassanzadeh AI4Cl AI4CE 22 14 0 08 Jun 2023
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models Ian E. Nielsen Ravichandran Ramachandran N. Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool AAML FAtt 41 7 0 15 Mar 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 46 38 0 01 Mar 2023
A novel approach to generate datasets with XAI ground truth to evaluate image models Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 22 4 0 11 Feb 2023
Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches Jose González-Abad Jorge Baño-Medina José Manuel Gutiérrez Llorente 19 14 0 03 Feb 2023
Lazy Estimation of Variable Importance for Large Neural Networks Yue Gao Abby Stevens Rebecca Willett Garvesh Raskutti 41 4 0 19 Jul 2022
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics Mariana C. A. Clare Maike Sonnewald Redouane Lguensat Julie Deshayes Venkatramani Balaji BDL 26 31 0 30 Apr 2022
Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data A. H. Nielsen Alexandros Iosifidis H. Karstoft AI4Cl AI4CE 22 6 0 10 Feb 2022
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset Antonios Mamalakis I. Ebert‐Uphoff E. Barnes OOD 28 75 0 18 Mar 2021