Cover Image

Driving down Poisson error can offset classification error in clinical tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Delahunt, Charles B., Mehanian, Courosh, Horning, Matthew P.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning 68T01 I.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance
by: Delahunt, Charles B., et al.
Published: (2026)

ECG-FM: An Open Electrocardiogram Foundation Model
by: McKeen, Kaden, et al.
Published: (2024)

Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models
by: d'Amato, Claudia, et al.
Published: (2025)

Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity
by: Huang, Ningyuan, et al.
Published: (2025)

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case
by: Leyli-Abadi, Milad, et al.
Published: (2025)

A ZeNN architecture to avoid the Gaussian trap
by: Carvalho, Luís, et al.
Published: (2025)

Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning
by: Bellinger, Colin, et al.
Published: (2023)

On the Invariants of Softmax Attention
by: Lee, Wonsuk
Published: (2026)

Achieving Distributive Justice in Federated Learning via Uncertainty Quantification
by: Carey, Alycia, et al.
Published: (2025)

Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphs
by: Diliso, Ivan, et al.
Published: (2026)

ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks
by: Zhang, Yu, et al.
Published: (2026)

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
by: Shafieinejad, Masoumeh, et al.
Published: (2026)

Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness
by: Pala, Riccardo, et al.
Published: (2024)

Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes
by: Bian, Yijun, et al.
Published: (2024)

Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
by: Bian, Yijun, et al.
Published: (2024)

Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Act
by: Arda, Sinan
Published: (2024)

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms
by: Capdevielle, Tomás, et al.
Published: (2025)

A Theoretical Framework for Adaptive Utility-Weighted Benchmarking
by: Waggoner, Philip
Published: (2026)

From Language Models to Practical Self-Improving Computer Agents
by: Sheng, Alex
Published: (2024)

A Taxonomy of Omnicidal Futures Involving Artificial Intelligence
by: Critch, Andrew, et al.
Published: (2025)

Interpretability Guarantees with Merlin-Arthur Classifiers
by: Wäldchen, Stephan, et al.
Published: (2022)

March Madness Tournament Predictions Model: A Mathematical Modeling Approach
by: McIver, Christian, et al.
Published: (2025)

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews
by: Okpala, Izunna, et al.
Published: (2025)

Softly Constrained Denoisers for Diffusion Models Applied to Partial Differential Equations
by: Yeom-Song, Victor M., et al.
Published: (2025)

Intelligent Routing for Sparse Demand Forecasting: A Comparative Evaluation of Selection Strategies
by: Zhang, Qiwen
Published: (2025)

Intelligence as Computation
by: Brock, Oliver
Published: (2024)

Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach
by: Nguyen, Minh-Duong, et al.
Published: (2025)

Quantifying Behavioral Dissimilarity Between Mathematical Expressions
by: Mežnar, Sebastian, et al.
Published: (2024)

Evaluating the Application of SOLID Principles in Modern AI Framework Architectures
by: Shrestha, Jonesh
Published: (2025)

A Hormetic Approach to the Value-Loading Problem: Preventing the Paperclip Apocalypse?
by: Henry, Nathan I. N., et al.
Published: (2024)

Instilling Organisational Values in Firefighters through Simulation-Based Training
by: Osman, Nardine, et al.
Published: (2025)

Value-Aware Multiagent Systems
by: Osman, Nardine
Published: (2025)

Deploying Large Language Models With Retrieval Augmented Generation
by: Prabhune, Sonal, et al.
Published: (2024)

Heckerthoughts
by: Heckerman, David
Published: (2023)

Charting the Future of Scholarly Knowledge with AI: A Community Perspective
by: Jiomekong, Azanzi, et al.
Published: (2025)

Attack Selection Reduces Safety in Concentrated AI Control Settings against Trusted Monitoring
by: Schaeffer, Joachim, et al.
Published: (2026)

Compressible Softmax-Attended Language under Incompressible Attention
by: Lee, Wonsuk
Published: (2026)

Vibe-Creation: The Epistemology of Human-AI Emergent Cognition
by: Levin, Ilya
Published: (2026)

Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
by: Kajitsuka, Tokio, et al.
Published: (2023)

The Right Prompts for the Job: Repair Code-Review Defects with Large Language Model
by: Zhao, Zelin, et al.
Published: (2023)