Explainable Machine Learning for Scientific Insights and Discoveries

21 May 2019

Papers citing "Explainable Machine Learning for Scientific Insights and Discoveries"

50 / 55 papers shown

Title
Enhancing Monocular Height Estimation via Sparse LiDAR-Guided Correction Jian Song Hongruixuan Chen Naoto Yokoya 29 0 0 11 May 2025
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena Philip Naumann Jacob R. Kauffmann G. Montavon 26 0 0 09 May 2025
Reliable and Efficient Inverse Analysis using Physics-Informed Neural Networks with Distance Functions and Adaptive Weight Tuning Shota Deguchi Mitsuteru Asai PINN AI4CE 81 0 0 25 Apr 2025
SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration M. R Paul Saves P. Palar L. Zuhal oseph Morlier MoE LRM 44 0 0 25 Mar 2025
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 67 28 0 30 Aug 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 38 10 0 27 Jul 2024
A Moonshot for AI Oracles in the Sciences Bryan Kaiser Tailin Wu Maike Sonnewald Colin Thackray Skylar Callis AI4CE 51 0 0 25 Jun 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 56 5 0 02 May 2024
Asset management, condition monitoring and Digital Twins: damage detection and virtual inspection on a reinforced concrete bridge Arnulf Hagen Trond Michael Andersen 18 6 0 16 Apr 2024
A knowledge-driven AutoML architecture C. Cofaru Johan Loeckx 23 0 0 28 Nov 2023
Détection dóbjets célestes dans des images astronomiques par IA explicable O. Parisot Mahmoud Jaziri 14 0 0 17 Nov 2023
Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI Maurizio Titz Sebastian Pütz D. Witthaut 14 13 0 24 Jul 2023
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations Raha Ahmadi Mohammad Javad Rajabi Mohammad Khalooiem Mohammad Sabokrou 24 0 0 04 Jul 2023
Are Data-driven Explanations Robust against Out-of-distribution Data? Tang Li Fengchun Qiao Mengmeng Ma Xiangkai Peng OODD OOD 33 10 0 29 Mar 2023
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks Raluca Jalaboi Ole Winther A. Galimzianova FAtt 13 1 0 23 Feb 2023
Mapping Knowledge Representations to Concepts: A Review and New Perspectives Lars Holmberg P. Davidsson Per Linde 31 1 0 31 Dec 2022
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale Georgia Papacharalampous Hristos Tyralis Anastasios Doulamis N. Doulamis 51 11 0 31 Dec 2022
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 45 17 0 30 Dec 2022
Renormalization in the neural network-quantum field theory correspondence Harold Erbin Vincent Lahoche D. O. Samary 26 7 0 22 Dec 2022
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT Jacopo Teneggi P. Yi Jeremias Sulam 25 3 0 29 Nov 2022
MEGAN: Multi-Explanation Graph Attention Network Jonas Teufel Luca Torresi Patrick Reiser Pascal Friederich 16 8 0 23 Nov 2022
Exploring Self-Attention for Crop-type Classification Explainability Ivica Obadic R. Roscher Dario Augusto Borges Oliveira Xiao Xiang Zhu 22 7 0 24 Oct 2022
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 29 40 0 22 Aug 2022
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting Georgia Papacharalampous Hristos Tyralis AI4CE 27 28 0 17 Jun 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 38 77 0 06 May 2022
Features of the Earth's seasonal hydroclimate: Characterizations and comparisons across the Koppen-Geiger climates and across continents Georgia Papacharalampous Hristos Tyralis Y. Markonis P. Máca M. Hanel BDL 19 0 0 13 Apr 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 28 26 0 22 Mar 2022
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain Ola Hall Mattias Ohlsson Thortseinn Rögnvaldsson 14 8 0 02 Mar 2022
Deep Q-learning: a robust control approach B. Varga Balázs Kulcsár M. Chehreghani OOD 14 9 0 21 Jan 2022
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools Piero Fraternali Federico Milani Rocio Nahime Torres Niccolò Zangrando AAML 30 9 0 17 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 33 20 0 29 Dec 2021
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 28 63 0 21 Dec 2021
Hydroclimatic time series features at multiple time scales Georgia Papacharalampous Hristos Tyralis Y. Markonis M. Hanel AI4TS 17 3 0 02 Dec 2021
Learning quantum dynamics with latent neural ODEs M. Choi Daniel Flam-Shepherd T. Kyaw A. Aspuru‐Guzik BDL AI4CE 18 5 0 20 Oct 2021
Nonperturbative renormalization for the neural network-QFT correspondence Harold Erbin Vincent Lahoche D. O. Samary 18 30 0 03 Aug 2021
On Locality of Local Explanation Models Sahra Ghalebikesabi Lucile Ter-Minassian Karla Diaz-Ordaz Chris Holmes FedML FAtt 13 39 0 24 Jun 2021
Exploring deterministic frequency deviations with explainable AI Johannes Kruse B. Schäfer D. Witthaut 13 15 0 14 Jun 2021
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain Samanta Knapic A. Malhi Rohit Saluja Kary Främling 13 99 0 05 May 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases Md. Abdullah Al Alamin Gias Uddin 26 11 0 03 May 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis D. Tuia R. Roscher Jan Dirk Wegner Nathan Jacobs Xiaoxiang Zhu Gustau Camps-Valls AI4CE 39 68 0 11 Apr 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey A. Sun H. Yoon C. Shih Zhi Zhong AI4CE 23 9 0 10 Apr 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs Harini Suresh Steven R. Gomez K. Nam Arvind Satyanarayan 34 126 0 24 Jan 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 24 142 0 14 Dec 2020
Explanation from Specification Harish Naik Gyorgy Turán XAI 21 0 0 13 Dec 2020
Scientific intuition inspired by machine learning generated hypotheses Pascal Friederich Mario Krenn Isaac Tamblyn Alán Aspuru-Guzik AI4CE 11 34 0 27 Oct 2020
Explainable Empirical Risk Minimization Linli Zhang Georgios Karakasidis Arina Odnoblyudova Leyla Dogruel Alex Jung 19 5 0 03 Sep 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 18 44 0 01 May 2020
Neural Additive Models: Interpretable Machine Learning with Neural Nets Rishabh Agarwal Levi Melnick Nicholas Frosst Xuezhou Zhang Ben Lengerich R. Caruana Geoffrey E. Hinton 38 405 0 29 Apr 2020
Autonomous discovery in the chemical sciences part II: Outlook Connor W. Coley Natalie S. Eyke K. Jensen 21 171 0 30 Mar 2020
Computer-inspired Quantum Experiments Mario Krenn Manuel Erhard A. Zeilinger 11 73 0 23 Feb 2020