Quantifying how AI Panels improve precision
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Beale, Nicholas CL |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Decomposing Discrimination: Causal Mediation Analysis for AI-Driven Credit Decisions
par: Rajamanickam, Duraimurugan
Publié: (2026)
par: Rajamanickam, Duraimurugan
Publié: (2026)
AI Literacy and LLM Engagement in Higher Education: A Cross-National Quantitative Study
par: Hossain, Shahin, et autres
Publié: (2025)
par: Hossain, Shahin, et autres
Publié: (2025)
The Likelihood Ratio Wall: Structural Limits on Accurate Risk Assessment for Rare Violence
par: Pollanen, Marco
Publié: (2026)
par: Pollanen, Marco
Publié: (2026)
Transforming Business with Generative AI: Research, Innovation, Market Deployment and Future Shifts in Business Models
par: Singh, Narotam, et autres
Publié: (2024)
par: Singh, Narotam, et autres
Publié: (2024)
Orthogonality-Constrained Deep Instrumental Variable Model for Causal Effect Estimation
par: Yao, Shunxin
Publié: (2025)
par: Yao, Shunxin
Publié: (2025)
Treatment effects without multicollinearity? Temporal order and the Gram-Schmidt process in causal inference
par: Cross, Robin M., et autres
Publié: (2024)
par: Cross, Robin M., et autres
Publié: (2024)
Optimal Contextual Pricing under Agnostic Non-Lipschitz Demand
par: Xu, Jianyu, et autres
Publié: (2026)
par: Xu, Jianyu, et autres
Publié: (2026)
Functional Clustering of Discount Functions for Behavioral Investor Profiling
par: Porreca, Annamaria, et autres
Publié: (2024)
par: Porreca, Annamaria, et autres
Publié: (2024)
Modeling and Visualization Reasoning for Stakeholders in Education and Industry Integration Systems: Research on Structured Synthetic Dialogue Data Generation Based on NIST Standards
par: Meng, Wei
Publié: (2025)
par: Meng, Wei
Publié: (2025)
Shallow ReLU$^s$ Networks in $L^p$-Type and Sobolev Spaces: Approximation and Path-Norm Controlled Generalization
par: Li, Weizhao, et autres
Publié: (2026)
par: Li, Weizhao, et autres
Publié: (2026)
Convergences and Divergences in the 2024 Judicial Reform in Mexico: A Neural Network Analysis of Transparency, Judicial Autonomy, and Public Acceptance
par: Medel-Ramírez, Carlos
Publié: (2024)
par: Medel-Ramírez, Carlos
Publié: (2024)
From interpretability to inference: an estimation framework for universal approximators
par: Joseph, Andreas
Publié: (2019)
par: Joseph, Andreas
Publié: (2019)
Strategic Counterfactual Modeling of Deep-Target Airstrike Systems via Intervention-Aware Spatio-Causal Graph Networks
par: Meng, Wei
Publié: (2025)
par: Meng, Wei
Publié: (2025)
Urban Spatio-Temporal Foundation Models for Climate-Resilient Housing: Scaling Diffusion Transformers for Disaster Risk Prediction
par: Imanov, Olaf Yunus Laitinen, et autres
Publié: (2026)
par: Imanov, Olaf Yunus Laitinen, et autres
Publié: (2026)
Economic Causal Inference Based on DML Framework: Python Implementation of Binary and Continuous Treatment Variables
par: Yao, Shunxin
Publié: (2025)
par: Yao, Shunxin
Publié: (2025)
Reconstructing Subnational Labor Indicators in Colombia: An Integrated Machine and Deep Learning Approach
par: Vera-Jaramillo, Jaime
Publié: (2025)
par: Vera-Jaramillo, Jaime
Publié: (2025)
Regional and spatial dependence of poverty factors in Thailand, and its use into Bayesian hierarchical regression analysis
par: Gómez-Méndez, Irving, et autres
Publié: (2024)
par: Gómez-Méndez, Irving, et autres
Publié: (2024)
A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
par: Ojeda, Sebastian, et autres
Publié: (2025)
par: Ojeda, Sebastian, et autres
Publié: (2025)
Tweet Influence on Market Trends: Analyzing the Impact of Social Media Sentiment on Biotech Stocks
par: Avila, C. Sarai R.
Publié: (2024)
par: Avila, C. Sarai R.
Publié: (2024)
Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
par: Lai, Shanyan
Publié: (2025)
par: Lai, Shanyan
Publié: (2025)
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
par: Wibbeke, Jelke, et autres
Publié: (2025)
par: Wibbeke, Jelke, et autres
Publié: (2025)
Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
par: Benitez, Edgar, et autres
Publié: (2024)
par: Benitez, Edgar, et autres
Publié: (2024)
Constant-Target Energy Matching: A Unified Framework for Continuous and Discrete Density Estimation
par: Zeng, Zhijun, et autres
Publié: (2026)
par: Zeng, Zhijun, et autres
Publié: (2026)
Dynamic Pricing with Adversarially-Censored Demands
par: Xu, Jianyu, et autres
Publié: (2025)
par: Xu, Jianyu, et autres
Publié: (2025)
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
par: Troxell, David, et autres
Publié: (2026)
par: Troxell, David, et autres
Publié: (2026)
Probabilistic Digital Twins of Users: Latent Representation Learning with Statistically Validated Semantics
par: David, Daniel
Publié: (2025)
par: David, Daniel
Publié: (2025)
An objective function for order preserving hierarchical clustering
par: Bakkelund, Daniel
Publié: (2021)
par: Bakkelund, Daniel
Publié: (2021)
A longitudinal analysis of misinformation, polarization and toxicity on Bluesky after its public launch
par: Nogara, Gianluca, et autres
Publié: (2025)
par: Nogara, Gianluca, et autres
Publié: (2025)
Multi-layered model-based characterisation of the local-Universe galaxy data from the GAMA survey
par: Dai, Fan, et autres
Publié: (2026)
par: Dai, Fan, et autres
Publié: (2026)
Generalization and Feature Attribution in Machine Learning Models for Crop Yield and Anomaly Prediction in Germany
par: Baatz, Roland
Publié: (2025)
par: Baatz, Roland
Publié: (2025)
Physics-Informed Singular-Value Learning for Cross-Covariances Forecasting in Financial Markets
par: Manolakis, Efstratios, et autres
Publié: (2026)
par: Manolakis, Efstratios, et autres
Publié: (2026)
TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
par: Ferdous, Muhammad Hasan, et autres
Publié: (2025)
par: Ferdous, Muhammad Hasan, et autres
Publié: (2025)
Predicting Traffic Accident Severity with Deep Neural Networks
par: Bibb, Meghan, et autres
Publié: (2025)
par: Bibb, Meghan, et autres
Publié: (2025)
Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias through a Systematic Review
par: Altamirano, Sara, et autres
Publié: (2025)
par: Altamirano, Sara, et autres
Publié: (2025)
Hierarchical Bayesian Knowledge Tracing in Undergraduate Engineering Education
par: Sun, Yiwei
Publié: (2025)
par: Sun, Yiwei
Publié: (2025)
SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction
par: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et autres
Publié: (2026)
par: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et autres
Publié: (2026)
Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
par: Cabral, Rafael, et autres
Publié: (2024)
par: Cabral, Rafael, et autres
Publié: (2024)
CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
par: Feng, Xuchen, et autres
Publié: (2025)
par: Feng, Xuchen, et autres
Publié: (2025)
Modeling the Path of Structural Strategic Deterrence: A Sand Table Simulation and Research Report on China's Military-Industrial Capability System against the United States Based on Rare Earth Supply Disconnection
par: Meng, Wei
Publié: (2025)
par: Meng, Wei
Publié: (2025)
Expert Insight-Based Modeling of Non-Kinetic Strategic Deterrence of Rare Earth Supply Disruption:A Simulation-Driven Systematic Framework
par: Meng, Wei
Publié: (2025)
par: Meng, Wei
Publié: (2025)
Documents similaires
-
Decomposing Discrimination: Causal Mediation Analysis for AI-Driven Credit Decisions
par: Rajamanickam, Duraimurugan
Publié: (2026) -
AI Literacy and LLM Engagement in Higher Education: A Cross-National Quantitative Study
par: Hossain, Shahin, et autres
Publié: (2025) -
The Likelihood Ratio Wall: Structural Limits on Accurate Risk Assessment for Rare Violence
par: Pollanen, Marco
Publié: (2026) -
Transforming Business with Generative AI: Research, Innovation, Market Deployment and Future Shifts in Business Models
par: Singh, Narotam, et autres
Publié: (2024) -
Orthogonality-Constrained Deep Instrumental Variable Model for Causal Effect Estimation
par: Yao, Shunxin
Publié: (2025)