:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Yuan, Da
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computers and Society
Online Access:	https://arxiv.org/abs/2504.09416
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks
by: Piya, Fahmida Liza, et al.
Published: (2024)

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

Evaluating Large Language Model Capabilities in Assessing Spatial Econometrics Research
by: Arbia, Giuseppe, et al.
Published: (2025)

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

A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing
by: Agostini, Gabriel, et al.
Published: (2023)

Integrating Project Spatial Coordinates into Pavement Management Prioritization
by: Hanandeh, Shadi, et al.
Published: (2018)

PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents
by: Yang, Qisen, 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)

Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
by: Zhang, He, et al.
Published: (2023)

Trustworthy Chronic Disease Risk Prediction For Self-Directed Preventive Care via Medical Literature Validation
by: Le, Minh, et al.
Published: (2025)

DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
by: Ke, Zhaoru, et al.
Published: (2024)

Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy
by: Penny-Dimri, Jahan C., et al.
Published: (2025)

The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions
by: Ebrahimi, Maryam, et al.
Published: (2025)

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

Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment
by: Singh, Ashwin, et al.
Published: (2026)

Dual Attention Guided Defense Against Malicious Edits
by: Zhang, Jie, et al.
Published: (2025)

Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach
by: Cheng, Jiabei, et al.
Published: (2025)

"Model Cards for Model Reporting" in 2024: Reclassifying Category of Ethical Considerations in Terms of Trustworthiness and Risk Management
by: Kennedy-Mayo, DeBrae, et al.
Published: (2024)

Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
by: Fasanmade, Adebamigbe, et al.
Published: (2024)

Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning
by: Cao, Meng, et al.
Published: (2024)

Social Determinants of Health Prediction for ICD-9 Code with Reasoning Models
by: Khan, Sharim, et al.
Published: (2025)

The Risks of Recourse in Binary Classification
by: Fokkema, Hidde, et al.
Published: (2023)

Crash Severity Risk Modeling Strategies under Data Imbalance
by: Mamun, Abdullah Al, et al.
Published: (2024)

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study
by: Smolyak, Daniel, et al.
Published: (2024)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
by: Pfohl, Stephen R., et al.
Published: (2024)

Two-Stage Aggregation with Dynamic Local Attention for Irregular Time Series
by: Chen, Xingyu, et al.
Published: (2023)

PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations
by: Mo, Gao, et al.
Published: (2025)

Fairness Risks for Group-conditionally Missing Demographics
by: Jiang, Kaiqi, et al.
Published: (2024)

Extinction Risks from AI: Invisible to Science?
by: Kovarik, Vojtech, et al.
Published: (2024)

The Benefits and Risks of Transductive Approaches for AI Fairness
by: Razzak, Muhammed, et al.
Published: (2024)

Risk Analysis in Customer Relationship Management via Quantile Region Convolutional Neural Network-Long Short-Term Memory and Cross-Attention Mechanism
by: Huang, Yaowen, et al.
Published: (2024)

Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis
by: Liu, Fei, et al.
Published: (2024)

What is Fair? Defining Fairness in Machine Learning for Health
by: Gao, Jianhui, et al.
Published: (2024)

Continuous Pupillography: A Case for Visual Health Ecosystem
by: Younus, Usama, et al.
Published: (2024)

Novel Topological Machine Learning Methodology for Stream-of-Quality Modeling in Smart Manufacturing
by: Lee, Jay, et al.
Published: (2024)

The Impact of Pseudo-Science in Financial Loans Risk Prediction
by: Scarone, Bruno, et al.
Published: (2025)

Dimensional Characterization and Pathway Modeling for Catastrophic AI Risks
by: Chin, Ze Shen
Published: (2025)

DSO: Direct Steering Optimization for Bias Mitigation
by: Paes, Lucas Monteiro, et al.
Published: (2025)

ClimateQ&A: Bridging the gap between climate scientists and the general public
by: De La Calzada, Natalia, et al.
Published: (2024)

How Personality Traits Shape LLM Risk-Taking Behaviour
by: Hartley, John, et al.
Published: (2025)