Saved in:
| Main Authors: | Santos, Ricardo, Carreiro, André V., Peng, Xi, Gamboa, Hugo, Fröhlich, Holger |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.19593 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring
by: Benfenati, Luca, et al.
Published: (2024)
by: Benfenati, Luca, et al.
Published: (2024)
Counterfactual Fairness with Graph Uncertainty
by: Valério, Davi, et al.
Published: (2026)
by: Valério, Davi, et al.
Published: (2026)
Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review
by: Shi, Tongyue, et al.
Published: (2024)
by: Shi, Tongyue, et al.
Published: (2024)
Explainable Machine Learning for ICU Readmission Prediction
by: de Sá, Alex G. C., et al.
Published: (2023)
by: de Sá, Alex G. C., et al.
Published: (2023)
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
by: Garcin, Samuel, et al.
Published: (2025)
by: Garcin, Samuel, et al.
Published: (2025)
XAI for In-hospital Mortality Prediction via Multimodal ICU Data
by: Li, Xingqiao, et al.
Published: (2023)
by: Li, Xingqiao, et al.
Published: (2023)
Measurement Scheduling for ICU Patients with Offline Reinforcement Learning
by: Ji, Zongliang, et al.
Published: (2024)
by: Ji, Zongliang, et al.
Published: (2024)
Early prediction of the risk of ICU mortality with Deep Federated Learning
by: Randl, Korbinian, et al.
Published: (2022)
by: Randl, Korbinian, et al.
Published: (2022)
PULSE-ICU: A Pretrained Unified Long-Sequence Encoder for Multi-task Prediction in Intensive Care Units
by: Jang, Sejeong, et al.
Published: (2025)
by: Jang, Sejeong, et al.
Published: (2025)
ConceptTracer: Interactive Analysis of Concept Saliency and Selectivity in Neural Representations
by: Knauer, Ricardo, et al.
Published: (2026)
by: Knauer, Ricardo, et al.
Published: (2026)
Finite Time Analysis of Constrained Natural Critic-Actor Algorithm with Improved Sample Complexity
by: Panda, Prashansa, et al.
Published: (2025)
by: Panda, Prashansa, et al.
Published: (2025)
Hard-Constrained Neural Networks with Physics-Embedded Architecture for Residual Dynamics Learning and Invariant Enforcement in Cyber-Physical Systems
by: Spotorno, Enzo Nicolás, et al.
Published: (2025)
by: Spotorno, Enzo Nicolás, et al.
Published: (2025)
Geometric Representation Condition Improves Equivariant Molecule Generation
by: Li, Zian, et al.
Published: (2024)
by: Li, Zian, et al.
Published: (2024)
Disentangled and Self-Explainable Node Representation Learning
by: Piaggesi, Simone, et al.
Published: (2024)
by: Piaggesi, Simone, et al.
Published: (2024)
A Dual-Stream Physics-Augmented Unsupervised Architecture for Runtime Embedded Vehicle Health Monitoring
by: Spotorno, Enzo Nicolas, et al.
Published: (2026)
by: Spotorno, Enzo Nicolas, et al.
Published: (2026)
Position: Certifiable State Integrity in Cyber-Physical Systems -- Why Modular Sovereignty Solves the Plasticity-Stability Paradox
by: Spotorno, Enzo Nicolás, et al.
Published: (2026)
by: Spotorno, Enzo Nicolás, et al.
Published: (2026)
BERT4Traj: Transformer Based Trajectory Reconstruction for Sparse Mobility Data
by: Yang, Hao, et al.
Published: (2025)
by: Yang, Hao, et al.
Published: (2025)
BERT Learns (and Teaches) Chemistry
by: Payne, Josh, et al.
Published: (2020)
by: Payne, Josh, et al.
Published: (2020)
Efficiency for Free: Ideal Data Are Transportable Representations
by: Sun, Peng, et al.
Published: (2024)
by: Sun, Peng, et al.
Published: (2024)
DT-ICU: Towards Explainable Digital Twins for ICU Patient Monitoring via Multi-Modal and Multi-Task Iterative Inference
by: Guo, Wen
Published: (2026)
by: Guo, Wen
Published: (2026)
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care
by: Cheng, Yuxiao, et al.
Published: (2025)
by: Cheng, Yuxiao, et al.
Published: (2025)
Reducing False Ventricular Tachycardia Alarms in ICU Settings: A Machine Learning Approach
by: Farayola, Grace Funmilayo, et al.
Published: (2025)
by: Farayola, Grace Funmilayo, et al.
Published: (2025)
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
by: Wickstrøm, Kristoffer K., et al.
Published: (2024)
by: Wickstrøm, Kristoffer K., et al.
Published: (2024)
Unity by Diversity: Improved Representation Learning in Multimodal VAEs
by: Sutter, Thomas M., et al.
Published: (2024)
by: Sutter, Thomas M., et al.
Published: (2024)
Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction
by: Zhu, Mingcheng, et al.
Published: (2025)
by: Zhu, Mingcheng, et al.
Published: (2025)
Complex-Valued Unitary Representations as Classification Heads for Improved Uncertainty Quantification in Deep Neural Networks
by: Jafari, Akbar Anbar, et al.
Published: (2026)
by: Jafari, Akbar Anbar, et al.
Published: (2026)
LearnAlign: Data Selection for LLM Reinforcement Learning with Improved Gradient Alignment
by: Li, Shipeng, et al.
Published: (2025)
by: Li, Shipeng, et al.
Published: (2025)
Hierarchy Representation of Data in Machine Learnings
by: Yegang, Han, et al.
Published: (2023)
by: Yegang, Han, et al.
Published: (2023)
Closing Gaps: An Imputation Analysis of ICU Vital Signs
by: Turubayev, Alisher, et al.
Published: (2025)
by: Turubayev, Alisher, et al.
Published: (2025)
DeepEN: A Deep Reinforcement Learning Framework for Personalized Enteral Nutrition in Critical Care
by: Tan, Daniel Jason, et al.
Published: (2025)
by: Tan, Daniel Jason, et al.
Published: (2025)
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
by: Plecko, Drago, et al.
Published: (2025)
by: Plecko, Drago, et al.
Published: (2025)
Value Improved Actor Critic Algorithms
by: Oren, Yaniv, et al.
Published: (2024)
by: Oren, Yaniv, et al.
Published: (2024)
No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data
by: Cai, Daniel, et al.
Published: (2025)
by: Cai, Daniel, et al.
Published: (2025)
When Can Proxies Improve the Sample Complexity of Preference Learning?
by: Zhu, Yuchen, et al.
Published: (2024)
by: Zhu, Yuchen, et al.
Published: (2024)
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care
by: Shirali, Ali, et al.
Published: (2023)
by: Shirali, Ali, et al.
Published: (2023)
RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation
by: Shen, Chengzhi, et al.
Published: (2026)
by: Shen, Chengzhi, et al.
Published: (2026)
The Confusion is Real: GRAPHIC -- A Network Science Approach to Confusion Matrices in Deep Learning
by: Fröhlich, Johanna S., et al.
Published: (2026)
by: Fröhlich, Johanna S., et al.
Published: (2026)
Predicting BWR Criticality with Data-Driven Machine Learning Model
by: Oktavian, Muhammad Rizki, et al.
Published: (2024)
by: Oktavian, Muhammad Rizki, et al.
Published: (2024)
Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation
by: Badran, Yahya, et al.
Published: (2025)
by: Badran, Yahya, et al.
Published: (2025)
Exploiting Latent Linearity in LLMs Improves Explainable Molecular Representation Learning
by: Li, Zhuoran, et al.
Published: (2024)
by: Li, Zhuoran, et al.
Published: (2024)
Similar Items
-
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring
by: Benfenati, Luca, et al.
Published: (2024) -
Counterfactual Fairness with Graph Uncertainty
by: Valério, Davi, et al.
Published: (2026) -
Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review
by: Shi, Tongyue, et al.
Published: (2024) -
Explainable Machine Learning for ICU Readmission Prediction
by: de Sá, Alex G. C., et al.
Published: (2023) -
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
by: Garcin, Samuel, et al.
Published: (2025)