Image de couverture de livre

DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Urrea-Castaño, Arantxa, Segura-Kunsagi, Nicolás, Suárez-Díaz, Juan Luis, Montes, Rosana, Herrera, Francisco
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence I.2
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SeNeDiF-OOD: Semantic Nested Dichotomy Fusion for Out-of-Distribution Detection Methodology in Open-World Classification. A Case Study on Monument Style Classification
par: Antequera-Sánchez, Ignacio, et autres
Publié: (2026)

DROID: Dual Representation for Out-of-Scope Intent Detection
par: Rashwan, Wael, et autres
Publié: (2025)

Deep Learning methodology for the identification of wood species using high-resolution macroscopic images
par: Herrera-Poyatos, David, et autres
Publié: (2024)

DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
par: Wagner, Felix, et autres
Publié: (2025)

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
par: Rasmussen, Nicholas R., et autres
Publié: (2026)

SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation
par: Udayangani, Nimeshika, et autres
Publié: (2025)

Revisiting Energy-Based Model for Out-of-Distribution Detection
par: Wu, Yifan, et autres
Publié: (2024)

Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
par: Hahn, Yannik, et autres
Publié: (2025)

How Language Models Process Out-of-Distribution Inputs: A Two-Pathway Framework
par: Saghir, Hamidreza
Publié: (2026)

Local Diagnostics of Continuous Normalizing Flow for Out-of-Distribution Detection
par: Cao, Xinwei, et autres
Publié: (2026)

RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
par: Barnard, Amanda S
Publié: (2026)

Leveraging Intermediate Representations for Better Out-of-Distribution Detection
par: Guglielmo, Gianluca, et autres
Publié: (2025)

On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
par: Martinez-Seras, Aitor, et autres
Publié: (2024)

Ranked Activation Shift for Post-Hoc Out-of-Distribution Detection
par: Guglielmo, Gianluca, et autres
Publié: (2026)

Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity
par: Ammar, Mouïn Ben, et autres
Publié: (2024)

A Hybrid Deep Learning and Model-Checking Framework for Accurate Brain Tumor Detection and Validation
par: Elfatimi, Elhoucine, et autres
Publié: (2024)

Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
par: Yao, Tianjun, et autres
Publié: (2025)

Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets
par: Paredes, Carlos A. Durán, et autres
Publié: (2026)

Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
par: Poyatos, Javier, et autres
Publié: (2023)

D3R-Net: Dual-Domain Denoising Reconstruction Network for Robust Industrial Anomaly Detection
par: Filatov, Dmytro, et autres
Publié: (2026)

Aligning Validation with Deployment in Spatial Prediction: Target-Weighted Cross-Validation
par: Brenning, Alexander, et autres
Publié: (2026)

ObfusQAte: A Proposed Framework to Evaluate LLM Robustness on Obfuscated Factual Question Answering
par: Ghosh, Shubhra, et autres
Publié: (2025)

Shallow Robustness, Deep Vulnerabilities: Multi-Turn Evaluation of Medical LLMs
par: Manczak, Blazej, et autres
Publié: (2025)

Towards a Robust Framework for Multimodal Hate Detection: A Study on Video vs. Image-based Content
par: Koushik, Girish A., et autres
Publié: (2025)

A Two-Stage, Object-Centric Deep Learning Framework for Robust Exam Cheating Detection
par: Le, Van-Truong, et autres
Publié: (2026)

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
par: Zhang, Xu, et autres
Publié: (2025)

Measuring Robustness of Speech Recognition from MEG Signals Under Distribution Shift
par: Chien, Sheng-You, et autres
Publié: (2026)

ViQAgent: Zero-Shot Video Question Answering via Agent with Open-Vocabulary Grounding Validation
par: Montes, Tony, et autres
Publié: (2025)

Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
par: Zhou, Zhiping, et autres
Publié: (2024)

RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms
par: Roque, Luis, et autres
Publié: (2024)

A Novel Dataset for Flood Detection Robust to Seasonal Changes in Satellite Imagery
par: Jang, Youngsun, et autres
Publié: (2025)

A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
par: Di Teodoro, Giulia, et autres
Publié: (2023)

LLM-Assisted Formalization Enables Deterministic Detection of Statutory Inconsistency in the Internal Revenue Code
par: Yadamsuren, Borchuluun, et autres
Publié: (2025)

Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms
par: Avery, Katherine, et autres
Publié: (2025)

Autono: A ReAct-Based Highly Robust Autonomous Agent Framework
par: Wu, Zihao
Publié: (2025)

Out-of-Distribution Detection via Channelwise Feature Aggregation in Neural Network-Based Receivers
par: Tuononen, Marko, et autres
Publié: (2025)

QoSGMAA: A Robust Multi-Order Graph Attention and Adversarial Framework for Sparse QoS Prediction
par: Du, Guanchen, et autres
Publié: (2025)

Distilled HuBERT for Mobile Speech Emotion Recognition: A Cross-Corpus Validation Study
par: Ismail, Saifelden M.
Publié: (2025)

YOLO-APD: Enhancing YOLOv8 for Robust Pedestrian Detection on Complex Road Geometries
par: Joctum, Aquino, et autres
Publié: (2025)

ATANT: An Evaluation Framework for AI Continuity
par: Tanguturi, Samuel Sameer
Publié: (2026)