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Jeroen Van Schependom

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

198

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Eegnet-Based Fine-Tuning for Cognitive Load Detection Using Meg Data: A Study on Multiple Sclerosis

Number of pages: 13 Posted: 28 Feb 2025
AmirMohammad Mijani, Fahimeh Akbarian, Homa Kashefi Amirid, Guy Nagels, Jeroen Van Schependom and Liang Zhan
University of Pittsburgh, affiliation not provided to SSRN, University of Pittsburgh, UZ Brussel, affiliation not provided to SSRN and University of Pittsburgh - Department of Electrical and Computer Engineering
Downloads 97 (709,832)

Abstract:

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MEG, Multiple Sclerosis, Mental Workload Detection, Working Memory Task, EEGNet, Fine-tuning

2.

10 Hz Transcranial Alternating Current Stimulation Enhances Oligodendrogenesis and Remyelination Following Cuprizone-Induced Demyelination

Number of pages: 25 Posted: 03 Jun 2025
Thomas Jonathan Scheinok, Mathieu Grognard, Miguel D’Haeseleer, Guy Nagels, Dimitri De Bundel and Jeroen Van Schependom
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, UZ Brussel, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 79 (809,932)

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tACs, cuprizone, remyelination, Oligodendrogenesis, demyelination, multiple sclerosis

3.

Federated Adversarial Network (FAN): A Generative Proxy-Based, Defense-Enhanced, and Non-IID-Robust Federated Learning Method

Number of pages: 27 Posted: 27 Jan 2026
Xinguang Wang, Trung Linh Nguyen, Oliver Y. Chén, Alvaro Javier Vargas Guerrero, Quang Manh Doan, Tianzheng Hu, Stijn Denissen, Jeroen Van Schependom and Guy Nagels
affiliation not provided to SSRN, VNU University of Engineering and Technology, University of Lausanne, Vrije Universiteit Brussel (VUB), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and UZ Brussel
Downloads 22 (1,491,251)

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Federated learning, Generative adversarial network, Privacy protection, Defense attacks