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ORCIDJonathan Dan
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2020 – today
- 2025
[j7]Karine Pelc, Aleksandra Gajewska, Natan Napiórkowski, Jonathan Dan
, Caroline Verhoeven, Bernard Dan:
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 310: 121115 (2025)- [j6]Christodoulos Kechris, Jonathan Dan, José Miranda, David Atienza:
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate From a Smartwatch. IEEE Trans. Biomed. Eng. 72(3): 870-877 (2025) - [c7]Christodoulos Kechris, Jonathan Dan, José Miranda, David Atienza:
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs. AAAI 2025: 17805-17813 - [c6]Bo Zhou, Mengxi Liu, Sizhen Bian, Daniel Geißler, Paul Lukowicz, José Miranda, Jonathan Dan, David Atienza, Mohamed Amine Riahi, Norbert Wehn, Russel N. Torah, Sheng Yong, Jidong Liu, Stephen P. Beeby, Magdalena Kohler, Berit Greinke, Junchun Yu, Vincent Nierstrasz, Leila Sheldrick, Rebecca Stewart, Tommaso Nieri, Matteo Maccanti, Daniele Spinelli:
Multi-Partner Project: Sustainable Textile Electronics (STELEC). DATE 2025: 1-5 - [c5]Amin Aminifar, Jonathan Dan, David Atienza:
Federated Learning with Patient-Annotated Data in Epileptic Seizure Detection. IJCNN 2025: 1-10 - [i8]Christodoulos Kechris, Jonathan Dan, David Atienza:
Time series saliency maps: explaining models across multiple domains. CoRR abs/2505.13100 (2025) - [i7]Jonathan Dan, Amirhossein Shahbazinia, Christodoulos Kechris, David Atienza:
SzCORE as a benchmark: report from the seizure detection challenge at the 2025 AI in Epilepsy and Neurological Disorders Conference. CoRR abs/2505.18191 (2025) - [i6]Amirhossein Shahbazinia, Jonathan Dan, Jose Angel Miranda, Giovanni Ansaloni, David Atienza:
Personalization on a Budget: Minimally-Labeled Continual Learning for Resource-Efficient Seizure Detection. CoRR abs/2509.13974 (2025) - 2024
- [c4]Lara Orlandic, Jonathan Dan, Jérôme Thevenot, Tomás Teijeiro, Alain Sauty, David Atienza:
How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance. BSN 2024: 1-4 - [c3]Alireza Amirshahi, Jonathan Dan, Jose Angel Miranda, Amir Aminifar, David Atienza:
FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems. CHIL 2024: 397-409 - [c2]Amirhossein Shahbazinia, Flavio Ponzina, Jose Angel Miranda, Jonathan Dan, Giovanni Ansaloni, David Atienza:
Resource-Efficient Continual Learning for Personalized Online Seizure Detection. EMBC 2024: 1-7 - [i5]Jonathan Dan, Una Pale, Alireza Amirshahi, William Cappelletti, Thorir Mar Ingolfsson, Xiaying Wang, Andrea Cossettini, Adriano Bernini, Luca Benini, Sándor Beniczky, David Atienza, Philippe Ryvlin:
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms. CoRR abs/2402.13005 (2024) - [i4]Christodoulos Kechris, Jonathan Dan, José Miranda, David Atienza:
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch. CoRR abs/2405.09559 (2024) - [i3]Lara Orlandic, Jonathan Dan, Jérôme Thevenot, Tomás Teijeiro, Alain Sauty, David Atienza:
How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance. CoRR abs/2406.01529 (2024) - [i2]Christodoulos Kechris, Jonathan Dan, José Miranda, David Atienza:
DC is all you need: describing ReLU from a signal processing standpoint. CoRR abs/2407.16556 (2024) - [i1]Christodoulos Kechris, Jonathan Dan, José Miranda, David Atienza:
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs. CoRR abs/2408.03223 (2024) - 2022
- [j5]Jonathan Dan, Simon Geirnaert, Alexander Bertrand:
Grouped variable selection for generalized eigenvalue problems. Signal Process. 195: 108476 (2022) - 2020
- [j4]Jonathan Dan, Benjamin Vandendriessche, Wim Van Paesschen, Dorien Weckhuysen, Alexander Bertrand:
Computationally-Efficient Algorithm for Real-Time Absence Seizure Detection in Wearable Electroencephalography. Int. J. Neural Syst. 30(11): 2050035:1-2050035:16 (2020)
2010 – 2019
- 2018
- [j3]Nicolás von Ellenrieder, Jonathan Dan, Birgit Frauscher, Jean Gotman:
Corrigendum to "Sparse asynchronous cortical generators can produce measurable scalp EEG signals" [Neuroimage 138 (2016) 123-133]. NeuroImage 172: 631 (2018) - [j2]Ying Gu, Evy Cleeren, Jonathan Dan, Kasper Claes, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi:
Comparison between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy. Sensors 18(1): 29 (2018) - [c1]Steven Boeckx, Wim Van Paesschen, Brecht Bonte, Jonathan Dan:
Live Demonstration: SeizeIT - A wearable multimodal epileptic seizure detection device. BioCAS 2018: 1 - 2016
- [j1]Nicolás von Ellenrieder, Jonathan Dan, Birgit Frauscher, Jean Gotman:
Sparse asynchronous cortical generators can produce measurable scalp EEG signals. NeuroImage 138: 123-133 (2016)
Coauthor Index
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