Image de couverture de livre

A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	King, Ryan, Krueger, Conrad, Veselka, Ethan, Yang, Tianbao, Mortazavi, Bobak J.
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

An Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data
par: King, Ryan, et autres
Publié: (2024)

Memory-Efficient Continual Learning with CLIP Models
par: King, Ryan, et autres
Publié: (2026)

ArterialNet: Reconstructing Arterial Blood Pressure Waveform with Wearable Pulsatile Signals, a Cohort-Aware Approach
par: Huang, Sicong, et autres
Publié: (2024)

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays
par: Yi, Chenlang, et autres
Publié: (2025)

Modeling variable guide efficiency in pooled CRISPR screens with ContrastiveVI+
par: Weinberger, Ethan, et autres
Publié: (2024)

MIMIC-Sepsis: A Curated Benchmark for Modeling and Learning from Sepsis Trajectories in the ICU
par: Huang, Yong, et autres
Publié: (2025)

Continual Knowledge Consolidation LORA for Domain Incremental Learning
par: Paeedeh, Naeem, et autres
Publié: (2025)

We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification
par: Liu, Zhipeng, et autres
Publié: (2026)

FeDABoost: Fairness Aware Federated Learning with Adaptive Boosting
par: Arachchige, Tharuka Kasthuri, et autres
Publié: (2025)

Universal Domain Adaptation Benchmark for Time Series Data Representation
par: Mussard, Romain, et autres
Publié: (2025)

Time Series Foundation Models as Strong Baselines in Transportation Forecasting: A Large-Scale Benchmark Analysis
par: Yanes-Pulido, Javier, et autres
Publié: (2026)

Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series
par: Mussard, Romain, et autres
Publié: (2025)

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
par: Si, Haotian, et autres
Publié: (2024)

Learning Compositional Transferability of Time Series for Source-Free Domain Adaptation
par: Sun, Hankang, et autres
Publié: (2025)

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model
par: Kataria, Saurabh, et autres
Publié: (2025)

Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
par: Luthra, Achleshwar, et autres
Publié: (2025)

On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
par: Wang, Bokun, et autres
Publié: (2024)

Multimodal Deep Learning for Early Prediction of Patient Deterioration in the ICU: Integrating Time-Series EHR Data with Clinical Notes
par: Sadanandan, Binesh
Publié: (2026)

Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
par: Fawaz, Hassan Ismail, et autres
Publié: (2023)

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
par: Huang, Yu-Hao, et autres
Publié: (2025)

Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning
par: Liu, Jia, et autres
Publié: (2025)

Deep Time Series Models: A Comprehensive Survey and Benchmark
par: Wang, Yuxuan, et autres
Publié: (2024)

FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling
par: Li, Zhengnan, et autres
Publié: (2024)

TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting
par: Li, Zhe, et autres
Publié: (2024)

Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data
par: Escudero-Arnanz, Óscar, et autres
Publié: (2024)

TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection
par: He, Hui, et autres
Publié: (2026)

A Retention-Centric Framework for Continual Learning with Guaranteed Model Developmental Safety
par: Li, Gang, et autres
Publié: (2024)

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts
par: Proios, Dimitrios, et autres
Publié: (2025)

Evaluation of Machine and Deep Learning Techniques for Cyclone Trajectory Regression and Status Classification by Time Series Data
par: Lo, Ethan Zachary, et autres
Publié: (2025)

Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series
par: Mehdizavareh, Hadi, et autres
Publié: (2024)

Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks
par: Zhang, Qianru, et autres
Publié: (2025)

TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents
par: Cai, Yifu, et autres
Publié: (2025)

Continual Learning Should Move Beyond Incremental Classification
par: Mitchell, Rupert, et autres
Publié: (2025)

Cross-Domain Conditional Diffusion Models for Time Series Imputation
par: Zhang, Kexin, et autres
Publié: (2025)

Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification
par: Kan, Ziwen, et autres
Publié: (2024)

Hardness of Learning Neural Networks under the Manifold Hypothesis
par: Kiani, Bobak T., et autres
Publié: (2024)

CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
par: Feng, Yu, et autres
Publié: (2024)

Dualformer: Time-Frequency Dual Domain Learning for Long-term Time Series Forecasting
par: Bai, Jingjing, et autres
Publié: (2026)

A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
par: Wang, Bokun, et autres
Publié: (2023)

Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection
par: Thorat, Shantanu, et autres
Publié: (2024)