Copertina

SX-GeoTree: Self-eXplaining Geospatial Regression Tree Incorporating the Spatial Similarity of Feature Attributions

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kang, Chaogui, Luo, Lijian, Guan, Qingfeng, Liu, Yu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PLM-eXplain: Divide and Conquer the Protein Embedding Space
di: van Eck, Jan, et al.
Pubblicazione: (2025)

An Ensemble Framework for Explainable Geospatial Machine Learning Models
di: Liu, Lingbo
Pubblicazione: (2024)

Spatial-Morphological Modeling for Multi-Attribute Imputation of Urban Blocks
di: Starikov, Vasilii, et al.
Pubblicazione: (2026)

Geospatial Road Cycling Race Results Data Set
di: Janssens, Bram, et al.
Pubblicazione: (2024)

General Geospatial Inference with a Population Dynamics Foundation Model
di: Agarwal, Mohit, et al.
Pubblicazione: (2024)

eXplaining to Learn (eX2L): Regularization Using Contrastive Visual Explanation Pairs for Distribution Shifts
di: Medina, Paulo Mario P., et al.
Pubblicazione: (2026)

The impact of complexity in the built environment on vehicular routing behavior: Insights from an empirical study of taxi mobility in Beijing, China
di: Kang, Chaogui, et al.
Pubblicazione: (2024)

Geospatial Disparities: A Case Study on Real Estate Prices in Paris
di: Machado, Agathe Fernandes, et al.
Pubblicazione: (2024)

InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deployment
di: Yusuf, Ibrahim Salihu, et al.
Pubblicazione: (2025)

Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
di: Haghighat, Parian, et al.
Pubblicazione: (2024)

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
di: Swamy, Vinitra, et al.
Pubblicazione: (2023)

Active Geospatial Search for Efficient Tenant Eviction Outreach
di: Sarkar, Anindya, et al.
Pubblicazione: (2024)

$\texttt{dattri}$: A Library for Efficient Data Attribution
di: Deng, Junwei, et al.
Pubblicazione: (2024)

Feature-free regression kriging
di: Luo, Peng, et al.
Pubblicazione: (2025)

Beyond AlphaEarth: Toward Human-Centered Geospatial Foundation Models via POI-Guided Contrastive Learning
di: Liu, Junyuan, et al.
Pubblicazione: (2025)

Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling
di: Wang, Xiaoyang, et al.
Pubblicazione: (2025)

A Sequentially Fair Mechanism for Multiple Sensitive Attributes
di: Hu, François, et al.
Pubblicazione: (2023)

Metric Similarity and Manifold Learning of Circular Dichroism Spectra of Proteins
di: Marchetti, Gionni
Pubblicazione: (2025)

Reframing Spatial Dependence as Geographic Feature Attribution
di: Chen, Chuan, et al.
Pubblicazione: (2025)

Fair Graph Representation Learning via Sensitive Attribute Disentanglement
di: Zhu, Yuchang, et al.
Pubblicazione: (2024)

Discrimination-free Insurance Pricing with Privatized Sensitive Attributes
di: Zhang, Tianhe, et al.
Pubblicazione: (2025)

Spatially Directional Dual-Attention GAT for Spatial Fluoride Health Risk Modeling
di: Yuan, Da
Pubblicazione: (2025)

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
di: Yu, Shaohan, et al.
Pubblicazione: (2024)

Learning Fair Models without Sensitive Attributes: A Generative Approach
di: Zhu, Huaisheng, et al.
Pubblicazione: (2022)

Regression under demographic parity constraints via unlabeled post-processing
di: Chzhen, Evgenii, et al.
Pubblicazione: (2024)

FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
di: Lai, Yuheng, et al.
Pubblicazione: (2024)

The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics
di: Wang, Yuhao, et al.
Pubblicazione: (2025)

Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings
di: Lince, M. Generali, et al.
Pubblicazione: (2026)

Normalization in Proportional Feature Spaces
di: Benatti, Alexandre, et al.
Pubblicazione: (2024)

Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data
di: Sumiya, Yuta, et al.
Pubblicazione: (2024)

Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes
di: Duong, Manh Khoi, et al.
Pubblicazione: (2024)

Perturbation Effects on Accuracy and Fairness among Similar Individuals
di: Li, Xuran, et al.
Pubblicazione: (2024)

Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems
di: Amin, Mostafa M., et al.
Pubblicazione: (2022)

ASSESS: A Semantic and Structural Evaluation Framework for Statement Similarity
di: Liu, Xiaoyang, et al.
Pubblicazione: (2025)

What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds
di: Bothmann, Ludwig, et al.
Pubblicazione: (2022)

Feature Importance Disparities for Data Bias Investigations
di: Chang, Peter W., et al.
Pubblicazione: (2023)

Fused Gromov-Wasserstein Distance with Feature Selection
di: Lee, Harlin, et al.
Pubblicazione: (2026)

XplainAct: Visualization for Personalized Intervention Insights
di: Zhang, Yanming, et al.
Pubblicazione: (2025)

Personalized Differential Privacy for Ridge Regression
di: Acharya, Krishna, et al.
Pubblicazione: (2024)

Association between built environment characteristics and school run traffic congestion in Beijing, China
di: Kang, Chaogui, et al.
Pubblicazione: (2024)