Confidence-Filtered Relevance (CFR): An Interpretable and Uncertainty-Aware Machine Learning Framework for Naturalness Assessment in Satellite Imagery
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Emam, Ahmed, Roscher, Ribana |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness
par: Emam, Ahmed, et autres
Publié: (2023)
par: Emam, Ahmed, et autres
Publié: (2023)
LC-SLab -- An Object-based Deep Learning Framework for Large-scale Land Cover Classification from Satellite Imagery and Sparse In-situ Labels
par: Leonhardt, Johannes, et autres
Publié: (2025)
par: Leonhardt, Johannes, et autres
Publié: (2025)
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing
par: Najjar, Hiba, et autres
Publié: (2024)
par: Najjar, Hiba, et autres
Publié: (2024)
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning
par: Suurmeijer, Joris, et autres
Publié: (2025)
par: Suurmeijer, Joris, et autres
Publié: (2025)
Better, Not Just More: Data-Centric Machine Learning for Earth Observation
par: Roscher, Ribana, et autres
Publié: (2023)
par: Roscher, Ribana, et autres
Publié: (2023)
BuzzSet v1.0: A Dataset for Pollinator Detection in Field Conditions
par: Emam, Ahmed, et autres
Publié: (2025)
par: Emam, Ahmed, et autres
Publié: (2025)
Imputation Uncertainty in Interpretable Machine Learning Methods
par: Golchian, Pegah, et autres
Publié: (2025)
par: Golchian, Pegah, et autres
Publié: (2025)
Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation
par: Weatherhead, Addison, et autres
Publié: (2025)
par: Weatherhead, Addison, et autres
Publié: (2025)
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery
par: Ailuro, Stefan Maria, et autres
Publié: (2024)
par: Ailuro, Stefan Maria, et autres
Publié: (2024)
Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks
par: Drees, Lukas, et autres
Publié: (2023)
par: Drees, Lukas, et autres
Publié: (2023)
Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
par: Daniels, Mara, et autres
Publié: (2025)
par: Daniels, Mara, et autres
Publié: (2025)
Knowledge-Guided Machine Learning: Illustrating the use of Explainable Boosting Machines to Identify Overshooting Tops in Satellite Imagery
par: Mitchell, Nathan, et autres
Publié: (2025)
par: Mitchell, Nathan, et autres
Publié: (2025)
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
par: Li, Boning, et autres
Publié: (2024)
par: Li, Boning, et autres
Publié: (2024)
Probabilistic Machine Learning for Uncertainty-Aware Diagnosis of Industrial Systems
par: Mohammadi, Arman, et autres
Publié: (2025)
par: Mohammadi, Arman, et autres
Publié: (2025)
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems
par: Kolicic, Benjamin, et autres
Publié: (2024)
par: Kolicic, Benjamin, et autres
Publié: (2024)
Physics-Aware Machine Learning for Seismic and Volcanic Signal Interpretation
par: Thorossian, William
Publié: (2026)
par: Thorossian, William
Publié: (2026)
A Framework for Interpretability in Machine Learning for Medical Imaging
par: Wang, Alan Q., et autres
Publié: (2023)
par: Wang, Alan Q., et autres
Publié: (2023)
Confidence Diagram of Nonparametric Ranking for Uncertainty Assessment in Large Language Models Evaluation
par: Wang, Zebin, et autres
Publié: (2024)
par: Wang, Zebin, et autres
Publié: (2024)
Reward-Relevance-Filtered Linear Offline Reinforcement Learning
par: Zhou, Angela
Publié: (2024)
par: Zhou, Angela
Publié: (2024)
Confidence Aware Inverse Constrained Reinforcement Learning
par: Subramanian, Sriram Ganapathi, et autres
Publié: (2024)
par: Subramanian, Sriram Ganapathi, et autres
Publié: (2024)
Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction
par: Hossain, Emam, et autres
Publié: (2025)
par: Hossain, Emam, et autres
Publié: (2025)
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture
par: Fares, Mohamad Haj, et autres
Publié: (2024)
par: Fares, Mohamad Haj, et autres
Publié: (2024)
SU-ESRGAN: Semantic and Uncertainty-Aware ESRGAN for Super-Resolution of Satellite and Drone Imagery with Fine-Tuning for Cross Domain Evaluation
par: Ramkumar, Prerana
Publié: (2025)
par: Ramkumar, Prerana
Publié: (2025)
Lattice: A Confidence-Gated Hybrid System for Uncertainty-Aware Sequential Prediction with Behavioral Archetypes
par: Bannis, Lorian
Publié: (2026)
par: Bannis, Lorian
Publié: (2026)
Recurrent Confidence Chain: Temporal-Aware Uncertainty Quantification in Large Language Models
par: Mao, Zhenjiang, et autres
Publié: (2026)
par: Mao, Zhenjiang, et autres
Publié: (2026)
Uncertainty in Machine Learning
par: Weytjens, Hans, et autres
Publié: (2025)
par: Weytjens, Hans, et autres
Publié: (2025)
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning
par: Nofshin, Eura, et autres
Publié: (2024)
par: Nofshin, Eura, et autres
Publié: (2024)
Uncertainty-Aware Machine-Learning Framework for Predicting Dislocation Plasticity and Stress-Strain Response in FCC Alloys
par: Luo, Jing, et autres
Publié: (2025)
par: Luo, Jing, et autres
Publié: (2025)
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning
par: Qiu, Xiaoqi, et autres
Publié: (2024)
par: Qiu, Xiaoqi, et autres
Publié: (2024)
An assessment of data-centric methods for label noise identification in remote sensing data sets
par: Kröber, Felix, et autres
Publié: (2026)
par: Kröber, Felix, et autres
Publié: (2026)
Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
par: Bui, Ha Manh, et autres
Publié: (2026)
par: Bui, Ha Manh, et autres
Publié: (2026)
Uncertainty Estimation via Hyperspherical Confidence Mapping
par: Choi, Eunseo, et autres
Publié: (2026)
par: Choi, Eunseo, et autres
Publié: (2026)
Bloom Filter Encoding for Machine Learning
par: Cartmell, John, et autres
Publié: (2025)
par: Cartmell, John, et autres
Publié: (2025)
A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection
par: Subasi, Omer, et autres
Publié: (2024)
par: Subasi, Omer, et autres
Publié: (2024)
Learning Interpretable Models Using Uncertainty Oracles
par: Ghose, Abhishek, et autres
Publié: (2019)
par: Ghose, Abhishek, et autres
Publié: (2019)
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
par: Frauenknecht, Bernd, et autres
Publié: (2026)
par: Frauenknecht, Bernd, et autres
Publié: (2026)
Filtering with Confidence: When Data Augmentation Meets Conformal Prediction
par: Wu, Zixuan, et autres
Publié: (2025)
par: Wu, Zixuan, et autres
Publié: (2025)
Enhancing Machine Learning Performance through Intelligent Data Quality Assessment: An Unsupervised Data-centric Framework
par: Rahal, Manal, et autres
Publié: (2025)
par: Rahal, Manal, et autres
Publié: (2025)
Uncertainty-Aware Graph Structure Learning
par: Han, Shen, et autres
Publié: (2025)
par: Han, Shen, et autres
Publié: (2025)
Using Game Engines and Machine Learning to Create Synthetic Satellite Imagery for a Tabletop Verification Exercise
par: Hoster, Johannes, et autres
Publié: (2024)
par: Hoster, Johannes, et autres
Publié: (2024)
Documents similaires
-
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness
par: Emam, Ahmed, et autres
Publié: (2023) -
LC-SLab -- An Object-based Deep Learning Framework for Large-scale Land Cover Classification from Satellite Imagery and Sparse In-situ Labels
par: Leonhardt, Johannes, et autres
Publié: (2025) -
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing
par: Najjar, Hiba, et autres
Publié: (2024) -
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning
par: Suurmeijer, Joris, et autres
Publié: (2025) -
Better, Not Just More: Data-Centric Machine Learning for Earth Observation
par: Roscher, Ribana, et autres
Publié: (2023)