An Ensemble Framework for Explainable Geospatial Machine Learning Models
Fuente:
arXiv
Saved in:
| Main Author: | Liu, Lingbo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Predicting Male Domestic Violence Using Explainable Ensemble Learning and Exploratory Data Analysis
by: Jahin, Md Abrar, et al.
Published: (2024)
by: Jahin, Md Abrar, et al.
Published: (2024)
General Geospatial Inference with a Population Dynamics Foundation Model
by: Agarwal, Mohit, et al.
Published: (2024)
by: Agarwal, Mohit, et al.
Published: (2024)
Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine
by: Salih, Ahmed M
Published: (2024)
by: Salih, Ahmed M
Published: (2024)
InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deployment
by: Yusuf, Ibrahim Salihu, et al.
Published: (2025)
by: Yusuf, Ibrahim Salihu, et al.
Published: (2025)
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning
by: Globus-Harris, Ira, et al.
Published: (2024)
by: Globus-Harris, Ira, et al.
Published: (2024)
Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records
by: Hou, Yina, et al.
Published: (2025)
by: Hou, Yina, et al.
Published: (2025)
Geospatial Road Cycling Race Results Data Set
by: Janssens, Bram, et al.
Published: (2024)
by: Janssens, Bram, et al.
Published: (2024)
Towards Explainable Evaluation Metrics for Machine Translation
by: Leiter, Christoph, et al.
Published: (2023)
by: Leiter, Christoph, et al.
Published: (2023)
Beyond AlphaEarth: Toward Human-Centered Geospatial Foundation Models via POI-Guided Contrastive Learning
by: Liu, Junyuan, et al.
Published: (2025)
by: Liu, Junyuan, et al.
Published: (2025)
Geospatial Disparities: A Case Study on Real Estate Prices in Paris
by: Machado, Agathe Fernandes, et al.
Published: (2024)
by: Machado, Agathe Fernandes, et al.
Published: (2024)
SX-GeoTree: Self-eXplaining Geospatial Regression Tree Incorporating the Spatial Similarity of Feature Attributions
by: Kang, Chaogui, et al.
Published: (2025)
by: Kang, Chaogui, et al.
Published: (2025)
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion
by: Lucas, Mary M., et al.
Published: (2024)
by: Lucas, Mary M., et al.
Published: (2024)
A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach
by: Ahmed, Md Sabbir, et al.
Published: (2025)
by: Ahmed, Md Sabbir, et al.
Published: (2025)
Active Geospatial Search for Efficient Tenant Eviction Outreach
by: Sarkar, Anindya, et al.
Published: (2024)
by: Sarkar, Anindya, et al.
Published: (2024)
Towards Public Administration Research Based on Interpretable Machine Learning
by: Liu, Zhanyu, et al.
Published: (2026)
by: Liu, Zhanyu, et al.
Published: (2026)
Counterfactual Fairness Evaluation of Machine Learning Models on Educational Datasets
by: Kim, Woojin, et al.
Published: (2025)
by: Kim, Woojin, et al.
Published: (2025)
The Effect of Enforcing Fairness on Reshaping Explanations in Machine Learning Models
by: Anderson, Joshua Wolff, et al.
Published: (2025)
by: Anderson, Joshua Wolff, et al.
Published: (2025)
Maturity Framework for Enhancing Machine Learning Quality
by: Castelli, Angelantonio, et al.
Published: (2025)
by: Castelli, Angelantonio, et al.
Published: (2025)
MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept
by: Tkáč, Michal, et al.
Published: (2024)
by: Tkáč, Michal, et al.
Published: (2024)
Machine Learning in Epidemiology
by: Wright, Marvin N., et al.
Published: (2026)
by: Wright, Marvin N., et al.
Published: (2026)
Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability
by: Vaeth, Philipp, et al.
Published: (2024)
by: Vaeth, Philipp, et al.
Published: (2024)
OGD4All: A Framework for Accessible Interaction with Geospatial Open Government Data Based on Large Language Models
by: Siebenmann, Michael, et al.
Published: (2025)
by: Siebenmann, Michael, et al.
Published: (2025)
Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
by: Fasanmade, Adebamigbe, et al.
Published: (2024)
by: Fasanmade, Adebamigbe, et al.
Published: (2024)
Novel Topological Machine Learning Methodology for Stream-of-Quality Modeling in Smart Manufacturing
by: Lee, Jay, et al.
Published: (2024)
by: Lee, Jay, et al.
Published: (2024)
Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer
by: Pilgram, Lisa, et al.
Published: (2025)
by: Pilgram, Lisa, et al.
Published: (2025)
Stronger Baseline Models -- A Key Requirement for Aligning Machine Learning Research with Clinical Utility
by: Wolfrath, Nathan, et al.
Published: (2024)
by: Wolfrath, Nathan, et al.
Published: (2024)
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
by: Liu, Mingxuan, et al.
Published: (2024)
by: Liu, Mingxuan, et al.
Published: (2024)
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
by: Zanna, Khadija, et al.
Published: (2024)
by: Zanna, Khadija, et al.
Published: (2024)
Investigating Role of Personal Factors in Shaping Responses to Active Shooter Incident using Machine Learning
by: Liu, Ruying, et al.
Published: (2025)
by: Liu, Ruying, et al.
Published: (2025)
Non-Determinism and the Lawlessness of Machine Learning Code
by: Cooper, A. Feder, et al.
Published: (2022)
by: Cooper, A. Feder, et al.
Published: (2022)
Insights From Insurance for Fair Machine Learning
by: Fröhlich, Christian, et al.
Published: (2023)
by: Fröhlich, Christian, et al.
Published: (2023)
Bushfire Severity Modelling and Future Trend Prediction Across Australia: Integrating Remote Sensing and Machine Learning
by: Partheepan, Shouthiri, et al.
Published: (2024)
by: Partheepan, Shouthiri, et al.
Published: (2024)
Diagnosing Psychiatric Patients: Can Large Language and Machine Learning Models Perform Effectively in Emergency Cases?
by: Ahammed, Abu Shad, et al.
Published: (2025)
by: Ahammed, Abu Shad, et al.
Published: (2025)
Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach
by: Adlouni, Mohammed Ali El, et al.
Published: (2025)
by: Adlouni, Mohammed Ali El, et al.
Published: (2025)
Evaluating Fair Feature Selection in Machine Learning for Healthcare
by: Zawad, Md Rahat Shahriar, et al.
Published: (2024)
by: Zawad, Md Rahat Shahriar, et al.
Published: (2024)
Understanding Disparities in Post Hoc Machine Learning Explanation
by: Mhasawade, Vishwali, et al.
Published: (2024)
by: Mhasawade, Vishwali, et al.
Published: (2024)
Best Practices for Responsible Machine Learning in Credit Scoring
by: Valdrighi, Giovani, et al.
Published: (2024)
by: Valdrighi, Giovani, et al.
Published: (2024)
What is Fair? Defining Fairness in Machine Learning for Health
by: Gao, Jianhui, et al.
Published: (2024)
by: Gao, Jianhui, et al.
Published: (2024)
Identities are not Interchangeable: The Problem of Overgeneralization in Fair Machine Learning
by: Wang, Angelina
Published: (2025)
by: Wang, Angelina
Published: (2025)
Debiasing Machine Learning Models by Using Weakly Supervised Learning
by: Brotto, Renan D. B., et al.
Published: (2024)
by: Brotto, Renan D. B., et al.
Published: (2024)
Similar Items
-
Predicting Male Domestic Violence Using Explainable Ensemble Learning and Exploratory Data Analysis
by: Jahin, Md Abrar, et al.
Published: (2024) -
General Geospatial Inference with a Population Dynamics Foundation Model
by: Agarwal, Mohit, et al.
Published: (2024) -
Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine
by: Salih, Ahmed M
Published: (2024) -
InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deployment
by: Yusuf, Ibrahim Salihu, et al.
Published: (2025) -
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning
by: Globus-Harris, Ira, et al.
Published: (2024)