:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Brüsch, Thea, Schmidt, Mikkel N., Alstrøm, Tommy S.
Format:	Preprint
Published:	2024
Subjects:	Signal Processing Machine Learning
Online Access:	https://arxiv.org/abs/2410.19842
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FLEXtime: Filterbank learning to explain time series
by: Brüsch, Thea, et al.
Published: (2024)

FreqRISE: Explaining time series using frequency masking
by: Brüsch, Thea, et al.
Published: (2024)

Exploring the Task-agnostic Trait of Self-supervised Learning in the Context of Detecting Mental Disorders
by: Gupta, Rohan Kumar, et al.
Published: (2024)

Learning the relative composition of EEG signals using pairwise relative shift pretraining
by: Sandino, Christopher, et al.
Published: (2025)

AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts
by: Grieger, Niklas, et al.
Published: (2025)

When marine radar target detection meets pretrained large language models
by: Hu, Qiying, et al.
Published: (2025)

Removing the need for ground truth UWB data collection: self-supervised ranging error correction using deep reinforcement learning
by: Coppens, Dieter, et al.
Published: (2024)

Heterogeneity-agnostic AI/ML-assisted beam selection for multi-panel arrays
by: Kilinc, Ibrahim, et al.
Published: (2026)

Equivariance-based self-supervised learning for audio signal recovery from clipped measurements
by: Sechaud, Victor, et al.
Published: (2024)

Self-supervised New Activity Detection in Sensor-based Smart Environments
by: Kim, Hyunju, et al.
Published: (2024)

Measuring Dependencies between Biological Signals with Self-supervision, and its Limitations
by: Sariyanidi, Evangelos, et al.
Published: (2025)

Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization
by: Lei, Haozhe, et al.
Published: (2025)

BioSerenity-E1: a self-supervised EEG model for medical applications
by: Bettinardi, Ruggero G., et al.
Published: (2025)

Model-based learning for joint channel estimationand hybrid MIMO precoding
by: Klaimi, Nay, et al.
Published: (2025)

Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications
by: Collas, Antoine, et al.
Published: (2024)

EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
by: Foumani, Navid Mohammadi, et al.
Published: (2024)

Wasserstein distance based semi-supervised manifold learning and application to GNSS multi-path detection
by: Blais, Antoine, et al.
Published: (2025)

RSS map-assisted MIMO channel estimation in the upper mid-band under pilot constraints
by: Javid, Alireza, et al.
Published: (2026)

MobiVital: Self-supervised Time-series Quality Estimation for Contactless Respiration Monitoring Using UWB Radar
by: Wang, Ziqi, et al.
Published: (2025)

Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
by: Corponi, Filippo, et al.
Published: (2023)

X-REFINE: XAI-based RElevance input-Filtering and archItecture fiNe-tuning for channel Estimation
by: Gizzini, Abdul Karim, et al.
Published: (2026)

Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection
by: Xia, Xiuxin, et al.
Published: (2024)

The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study
by: Del Pup, Federico, et al.
Published: (2025)

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders
by: Ren, Pengju, et al.
Published: (2025)

Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring
by: Villalobos, Adrian, et al.
Published: (2025)

Towards a more realistic evaluation of machine learning models for bearing fault diagnosis
by: Vieira, João Paulo, et al.
Published: (2025)

Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection
by: Trajdos, Pawel, et al.
Published: (2025)

Classification of power quality events in the transmission grid: comparative evaluation of different machine learning models
by: Güvengir, Umut, et al.
Published: (2025)

Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining
by: Wu, Di, et al.
Published: (2022)

Detection of direct path component absence in NLOS UWB channel
by: Kolakowski, Marcin, et al.
Published: (2024)

In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
by: Soltanieh, Sahar, et al.
Published: (2023)

A General Framework for Generative Self-supervised Learning in Non-invasive Estimation of Physiological Parameters Using Photoplethysmography
by: Zhang, Zexing, et al.
Published: (2026)

Position-Aware Self-supervised Representation Learning for Cross-mode Radar Signal Recognition
by: Zhang, Hongyang, et al.
Published: (2026)

Federated learning over physical channels: adaptive algorithms with near-optimal guarantees
by: Zhang, Rui, et al.
Published: (2025)

Mirror contrastive loss based sliding window transformer for subject-independent motor imagery based EEG signal recognition
by: Luo, Jing, et al.
Published: (2024)

A Survey of Anomaly Detection in In-Vehicle Networks
by: Özdemir, Övgü, et al.
Published: (2024)

Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity
by: Li, Bo, et al.
Published: (2023)

Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
by: Yuan, Hang, et al.
Published: (2022)

Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
by: Burchert, Johannes, et al.
Published: (2024)

SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder
by: Pollastro, Andrea, et al.
Published: (2024)