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Disambiguation of "Hallez, Hans"

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Bayesian model selection of template forward models for EEG source reconstruction.

, , , , , , , and . NeuroImage, (2014)

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Ana Hanstedt

Beurteilung der Entwicklungskompetenz boviner Oozyten aus Follikeln mit unterschiedlicher Durchblutung der Follikelwand. TierH Hannover, (2009)

Flemming Hansen

Standards in der sozialen Arbeit. Uni Kassel, (2009)

Patrick Hansen

Entwicklung eines energetischen Sanierungsmodells für den europäischen Wohngebäudesektor unter dem Aspekt der Erstellung von Szenarien für Energie- und Co_1tn2-Einsparpotenziale bis 2030. Uni Siegen, (2009)

Ralf Hanschen

Sophie Hansen

 

Other publications of authors with the same name

Automatic detection of epileptic seizures on the intra-cranial electroencephalogram of rats using reservoir computing., , , , , , , and . Artif. Intell. Medicine, 53 (3): 215-223 (2011)A Novel Model to Quantify the Impact of Transmission Parameters on the Coexistence Between Bluetooth Low Energy Pairs., , , , , and . IEEE Internet Things J., 10 (2): 1733-1745 (January 2023)Bayesian model selection of template forward models for EEG source reconstruction., , , , , , , and . NeuroImage, (2014)A Novel Method to Estimate the Full Knee Joint Kinematics Using Low Cost IMU Sensors for Easy to Implement Low Cost Diagnostics., , , , and . Sensors, 20 (6): 1683 (2020)Extracting the spike process from the EEG by spatially constrained ICA., , , , , , and . EMBC, page 5286-5289. IEEE, (2006)Automatic Implementation of Control Flow Error Detection Techniques., , and . ISCSIC, page 6:1-6:8. ACM, (2019)Random Additive Control Flow Error Detection., , , and . SAFECOMP, volume 11093 of Lecture Notes in Computer Science, page 220-234. Springer, (2018)Muscle and eye movement artifact removal prior to EEG source localization., , , , , , , , , and 1 other author(s). EMBC, page 1002-1005. IEEE, (2006)Gestational weight gain prediction using privacy preserving federated learning., , , , , , , , , and . EMBC, page 2170-2174. IEEE, (2021)Framework to Evaluate Deep Learning Algorithms for Edge Inference and Training., , , , and . PKDD/ECML Workshops (1), volume 1752 of Communications in Computer and Information Science, page 569-581. Springer, (2022)