:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Alcaraz, Juan Miguel Lopez, Bouma, Hjalmar, Strodthoff, Nils
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Signal Processing
Online Access:	https://arxiv.org/abs/2407.17856
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Abnormality Prediction and Forecasting of Laboratory Values from Electrocardiogram Signals Using Multimodal Deep Learning
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)

Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)

Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
by: Strodthoff, Nils, et al.
Published: (2023)

CardioLab: Laboratory Values Estimation from Electrocardiogram Features - An Exploratory Study
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)

Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)

Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)

Towards actionable hypotension prediction -- predicting catecholamine therapy initiation in the intensive care unit
by: Koebe, Richard, et al.
Published: (2025)

Predicting Chest Radiograph Findings from Electrocardiograms Using Interpretable Machine Learning
by: Matejas, Julia, et al.
Published: (2025)

Benchmarking ECG FMs: A Reality Check Across Clinical Tasks
by: Al-Masud, M A, et al.
Published: (2025)

Explainable and externally validated machine learning for neurocognitive diagnosis via electrocardiograms
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2025)

Using explainable AI to investigate electrocardiogram changes during healthy aging -- from expert features to raw signals
by: Ott, Gabriel, et al.
Published: (2023)

A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking
by: Alcaraz, Juan Miguel López, et al.
Published: (2026)

Assessing the importance of long-range correlations for deep-learning-based sleep staging
by: Wang, Tiezhi, et al.
Published: (2024)

S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
by: Wang, Tiezhi, et al.
Published: (2023)

Multi-Window Temporal Analysis for Enhanced Arrhythmia Classification: Leveraging Long-Range Dependencies in Electrocardiogram Signals
by: Wang, Tiezhi, et al.
Published: (2025)

Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
by: Moulaeifard, Mohammad, et al.
Published: (2025)

Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
by: Wagner, Patrick, et al.
Published: (2023)

Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study
by: Al-Masud, M A, et al.
Published: (2026)

Deriving Health Metrics from the Photoplethysmogram: Benchmarks and Insights from MIMIC-III-Ext-PPG
by: Moulaeifard, Mohammad, et al.
Published: (2026)

Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
by: Bench, Ciaran, et al.
Published: (2025)

Depression diagnosis from patient interviews using multimodal machine learning
by: Weber, Jana, et al.
Published: (2025)

Explaining Time Series Classification Predictions via Causal Attributions
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)

Online waveform selection for cognitive radar
by: Tholeti, Thulasi, et al.
Published: (2024)

Federated Learning-Distillation Alternation for Resource-Constrained IoT
by: da Silva, Rafael Valente, et al.
Published: (2025)

Multicriteria decision support employing adaptive prediction in a tensor-based feature representation
by: Campello, Betania Silva Carneiro, et al.
Published: (2024)

BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables
by: Samakovlis, Dimitrios, et al.
Published: (2024)

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
by: Moulaeifard, Mohammad, et al.
Published: (2025)

Towards Objective Gastrointestinal Auscultation: Automated Segmentation and Annotation of Bowel Sound Patterns
by: Mansour, Zahra, et al.
Published: (2026)

Benchmarking machine learning for bowel sound pattern classification from tabular features to pretrained models
by: Mansour, Zahra, et al.
Published: (2025)

Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity
by: Zheng, Xiaoyu, et al.
Published: (2025)

The OPS-SAT benchmark for detecting anomalies in satellite telemetry
by: Ruszczak, Bogdan, et al.
Published: (2024)

An extended method for Statistical Signal Characterization using moments and cumulants, as a fast and accurate pre-processing stage of simple ANNs applied to the recognition of pattern alterations in pulse-like waveforms
by: Bustos, G. H., et al.
Published: (2022)

Reconstructing physiological signals from fMRI across the adult lifespan
by: Wang, Shiyu, et al.
Published: (2024)

Reframing preprocessing selection as model-internal calibration in near-infrared spectroscopy: A large-scale benchmark of operator-adaptive PLS and Ridge models
by: Beurier, Gregory, et al.
Published: (2026)

Cross-Learning from Scarce Data via Multi-Task Constrained Optimization
by: Agorio, Leopoldo, et al.
Published: (2025)

Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorch
by: Liu, Lei, et al.
Published: (2025)

Spatio-Temporal 3D Point Clouds from WiFi-CSI Data via Transformer Networks
by: Määttä, Tuomas, et al.
Published: (2024)

Consistent Signal Reconstruction from Streaming Multivariate Time Series
by: Ruiz-Moreno, Emilio, et al.
Published: (2023)

A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems
by: Gomez, Pere Izquierdo, et al.
Published: (2023)

Estimation of aboveground biomass in a tropical dry forest: An intercomparison of airborne, unmanned, and space laser scanning
by: Mattié, Nelson, et al.
Published: (2025)