Cover Image

Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance Index

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fernandez, Camila, Chen, Chung Shue, Gaillard, Chen Pierre, Silva, Alonso
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Learning Approach for Survival Analysis
by: Fernandez, Camila, et al.
Published: (2024)

Interaction Concordance Index: Performance Evaluation for Interaction Prediction Methods
by: Pahikkala, Tapio, et al.
Published: (2025)

Integrated Gradient Correlation: a Dataset-wise Attribution Method
by: Lelièvre, Pierre, et al.
Published: (2024)

The Ensemble Inverse Problem: Applications and Methods
by: Huan, Zhengyan, et al.
Published: (2026)

Stop Relying on No-Choice and Do not Repeat the Moves: Optimal, Efficient and Practical Algorithms for Assortment Optimization
by: Saha, Aadirupa, et al.
Published: (2024)

An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes
by: Chen, George H.
Published: (2024)

Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods
by: Qu, Luping, et al.
Published: (2024)

Gradient-Free Score-Based Sampling Methods with Ensembles
by: Riel, Bryan, et al.
Published: (2024)

Structured Prediction in Online Learning
by: Boudart, Pierre, et al.
Published: (2024)

Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
by: Zhang, Zikun, et al.
Published: (2024)

LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
by: Wang, Maonan, et al.
Published: (2024)

Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm
by: Boudart, Pierre, et al.
Published: (2025)

Minimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPs
by: Boudart, Pierre, et al.
Published: (2026)

The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models
by: Alabdallah, Abdallah, et al.
Published: (2022)

An intuitive rearranging of the Yates covariance decomposition for probabilistic verification of forecasts with the Brier score
by: Vieira, Bruno Hebling
Published: (2026)

Minimax Adaptive Online Nonparametric Regression over Besov Spaces
by: Liautaud, Paul, et al.
Published: (2025)

Minimax-optimal and Locally-adaptive Online Nonparametric Regression
by: Liautaud, Paul, et al.
Published: (2024)

High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch
by: Liautaud, Paul, et al.
Published: (2026)

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
by: Zhang, S., et al.
Published: (2024)

Power Ensemble Aggregation for Improved Extreme Event AI Prediction
by: Collard, Julien, et al.
Published: (2025)

ECRTime: Ensemble Integration of Classification and Retrieval for Time Series Classification
by: Zhao, Fan, et al.
Published: (2024)

Enhanced Credit Score Prediction Using Ensemble Deep Learning Model
by: Xing, Qianwen, et al.
Published: (2024)

VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture
by: Wang, Maonan, et al.
Published: (2025)

Heterogeneous Vertiport Selection Optimization for On-Demand Air Taxi Services: A Deep Reinforcement Learning Approach
by: Pang, Aoyu, et al.
Published: (2026)

A Margin-Maximizing Fine-Grained Ensemble Method
by: Yuan, Jinghui, et al.
Published: (2024)

Self-Concordant Perturbations for Linear Bandits
by: Lévy, Lucas, et al.
Published: (2025)

Ensemble Machine Learning and Statistical Procedures for Dynamic Predictions of Time-to-Event Outcomes
by: van Gerwen, Nina, et al.
Published: (2026)

Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models
by: Cheng, Hailing, et al.
Published: (2026)

Multi-Dimensional Model Integrity and Responsibility Assessment Index and Scoring Framework
by: Nguyen, Phuc Truong Loc, et al.
Published: (2026)

MIRA: A Score for Conditional Distribution Accuracy and Model Comparison
by: Sharief, Sammy, et al.
Published: (2026)

ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
by: Ye, Hengyu, et al.
Published: (2024)

A PLS-Integrated LASSO Method with Application in Index Tracking
by: Tang, Shiqin, et al.
Published: (2025)

Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications
by: Chen, Jin, et al.
Published: (2025)

LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
by: Chen, Can, et al.
Published: (2024)

Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit
by: Zhou, Julien, et al.
Published: (2024)

Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning
by: Bajarunas, Kristupas, et al.
Published: (2024)

Electric Vehicle Charging Load Forecasting: An Experimental Comparison of Machine Learning Methods
by: Kyriakopoulos, Iason, et al.
Published: (2025)

Online Markov Decision Processes with Terminal Law Constraints
by: Moreno, Bianca Marin, et al.
Published: (2026)

Online Episodic Convex Reinforcement Learning
by: Moreno, Bianca Marin, et al.
Published: (2025)

LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations
by: Xiao, Pengpeng, et al.
Published: (2024)