Julien Audiffren
Julien Audiffren
Senior Researcher, Exascale Infolab, Fribourg University
Verified email at - Homepage
Cited by
Cited by
Operator-valued Kernels for Learning from Functional Response Data
H Kadri, E DUFLOS, philippe preux, stephane canu, A Rakotomamonjy, ...
JMLR, 2015
A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code
F Quijoux, A Nicolaï, I Chairi, I Bargiotas, D Ricard, A Yelnik, L Oudre, ...
Physiological reports 9 (22), e15067, 2021
Preprocessing the Nintendo Wii board signal to derive more accurate descriptors of statokinesigrams
J Audiffren, E Contal
Sensors 16 (8), 1208, 2016
Maximum entropy semi-supervised inverse reinforcement learning
J Audiffren, M Valko, A Lazaric, M Ghavamzadeh
International joint conference on artificial intelligence, 2015
A non linear scoring approach for evaluating balance: classification of elderly as fallers and non-fallers
J Audiffren, I Bargiotas, N Vayatis, PP Vidal, D Ricard
PLoS one 11 (12), e0167456, 2016
On the importance of local dynamics in statokinesigram: A multivariate approach for postural control evaluation in elderly
I Bargiotas, J Audiffren, N Vayatis, PP Vidal, S Buffat, AP Yelnik, D Ricard
PloS one 13 (2), e0192868, 2018
Stability of multi-task kernel regression algorithms
J Audiffren, H Kadri
ACML, 2013
NurseNet: Monitoring Elderly Levels of Activity with a Piezoelectric Floor
L Minvielle, J Audiffren
Sensors 19 (18), 3851, 2019
Fusing vector space models for domain-specific applications
L Rettig, J Audiffren, P Cudré-Mauroux
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
Cornering Stationary and Restless Mixing Bandits with Remix-UCB
J Audiffren, L Ralaivola
NIPS, 2015
Wiki2prop: A multimodal approach for predicting wikidata properties from wikipedia
M Luggen, J Audiffren, D Difallah, P Cudré-Mauroux
Proceedings of the Web Conference 2021, 2357-2366, 2021
Online learning with multiple operator-valued kernels
J Audiffren, H Kadri
arXiv preprint arXiv:1311.0222, 2013
A langevin-based model with moving posturographic target to quantify postural control
A Nicolaï, M Limnios, A Trouvé, J Audiffren
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 478-487, 2021
Estimating center of mass trajectory in quiet standing: a review
A Nicolaï, J Audiffren
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
Muller’s ratchet clicks in finite time
J Audiffren, E Pardoux
Stochastic Processes and their Applications 123 (6), 2370-2397, 2013
Model-space regularization and fully interpretable algorithms for postural control quantification
A Nicolaï, J Audiffren
2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC …, 2018
Online Learning with Operator-valued Kernels
J Audiffren, H Kadri
ESANN, 2015
An opinion paper on the maintenance of robustness: towards a multimodal and intergenerational approach using digital twins
PP Vidal, A Vienne‐Jumeau, A Moreau, C Vidal, D Wang, J Audiffren, ...
Aging Medicine 3 (3), 188-194, 2020
Évaluation de l’équilibre et prédiction des risques de chutes en utilisant une Wii board balance
J Audiffren, R Barrois-Müller, C Provost, É Chiarovano, L Oudre, ...
Neurophysiologie Clinique/Clinical Neurophysiology 45 (4-5), 403, 2015
Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall
I Bargiotas, D Wang, J Mantilla, F Quijoux, A Moreau, C Vidal, R Barrois, ...
Journal of neurology 270 (2), 618-631, 2023
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