Jonathan Dan

Orcid: 0000-0002-2338-572X

According to our database1, Jonathan Dan authored at least 17 papers between 2016 and 2025.

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Bibliography

2025
SzCORE as a benchmark: report from the seizure detection challenge at the 2025 AI in Epilepsy and Neurological Disorders Conference.
CoRR, May, 2025

Time series saliency maps: explaining models across multiple domains.
CoRR, May, 2025

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate From a Smartwatch.
IEEE Trans. Biomed. Eng., March, 2025

Longitudinal high-density cortical auditory event-related potentials and speech-sound discrimination in the first two years of life in extremely and very preterm infants without developmental disorders.
NeuroImage, 2025


Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
DC is all you need: describing ReLU from a signal processing standpoint.
CoRR, 2024

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms.
CoRR, 2024

Resource-Efficient Continual Learning for Personalized Online Seizure Detection.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems.
Proceedings of the Conference on Health, 2024

How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance.
Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024

2022
Grouped variable selection for generalized eigenvalue problems.
Signal Process., 2022

2020
Computationally-Efficient Algorithm for Real-Time Absence Seizure Detection in Wearable Electroencephalography.
Int. J. Neural Syst., 2020

2018
Comparison between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy.
Sensors, 2018

Corrigendum to "Sparse asynchronous cortical generators can produce measurable scalp EEG signals" [Neuroimage 138 (2016) 123-133].
NeuroImage, 2018

Live Demonstration: SeizeIT - A wearable multimodal epileptic seizure detection device.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2016
Sparse asynchronous cortical generators can produce measurable scalp EEG signals.
NeuroImage, 2016


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