M. Basseville and I. V. Nikiforov, Detection of Abrupt Changes: Theory and Application, 1993.
URL : https://hal.archives-ouvertes.fr/hal-00008518

M. Mboup, A Volterra filter for neuronal spike detection ALIEN Inria, Research Report, 2008.

M. Fliess, C. Join, and M. Mboup, Algebraic change-point detection, Applicable Algebra in Engineering, Communication and Computing, vol.83, issue.2, pp.131-143, 2010.
DOI : 10.1007/s00200-010-0119-z

URL : https://hal.archives-ouvertes.fr/inria-00439226

M. Mboup, C. Join, and M. Fliess, A delay estimation approach to change-point detection, MED08, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00179775

S. Rezk, C. Join, S. Asmi, M. Dogui, and M. H. Bedoui, Frequency change-point detection in physiological signals : an algebraic approach, Int. J. on Sci. and Tech. of Aut. Cont. & Comp. Eng, vol.2, issue.1, pp.456-468, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00308474

Z. Tiganj and M. Mboup, Spike detection and sorting: Combining algebraic differentiations with ica, " in Independent Component Analysis and Signal Separation, 8th Int, Conf, pp.475-482, 2009.

Z. Tiganj, M. Mboup, C. Pouzat, and L. Belkoura, An Algebraic Method for Eye Blink Artifacts Detection in Single Channel EEG Recordings, 17th Int. Conf. on Biomagnetism, pp.175-178, 2010.
DOI : 10.1007/978-3-642-12197-5_38

URL : https://hal.archives-ouvertes.fr/hal-00518627

B. Litt and J. Echauz, Prediction of epileptic seizures, The Lancet Neurology, vol.1, issue.1, pp.22-30, 2002.
DOI : 10.1016/S1474-4422(02)00003-0

G. Pfurtscheller, F. H. Lopes-da-silva, L. Kiltz, M. Mboup, and J. Rudolph, Event-related eeg/meg synchronization and desynchronization: basic principles Fault diagnosis on a magnetically supported plate, Clinical Neurophysiology, vol.11010, issue.11, pp.1842-1857, 1999.

A. M. Ali, C. Join, and F. Hamelin, Fault diagnosis without a priori model, Systems and Control Letters, vol.61, issue.2, pp.316-321, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00650811

D. M. Himmelblau, Fault detection and diagnosis in chemical and petrochemical processes, 1978.

O. S. Salawu, Detection of structural damage through changes in frequency: a review, Engineering Structures, vol.19, issue.9, pp.718-723, 1997.
DOI : 10.1016/S0141-0296(96)00149-6

D. M. Himmelblau, Process analysis by statistical methods, 1970.

M. Fliess and H. Sira-ramírez, An algebraic framework for linear identification, ESAIM: COCV. SMAI, pp.151-168, 2003.
DOI : 10.1051/cocv:2003008

URL : http://www.numdam.org/article/COCV_2003__9__151_0.pdf

A. Neves, M. Miranda, and M. Mboup, Algebraic Parameter Estimation of Damped Exponentials, EUSIPCO, pp.965-969, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00179732

M. Mboup, Parameter estimation for signals described by differential equations, Applicable Analysis, vol.26, issue.1, pp.29-52, 2009.
DOI : 10.1109/MED.2008.4602161

R. Ushirobira, W. Perruquetti, M. Mboup, and M. Fliess, Algebraic parameter estimation of a biased sinusoidal waveform signal from noisy data, Sysid 2012, 16th IFAC Symposium on System Identification, 2012.
DOI : 10.3182/20120711-3-BE-2027.00393

URL : https://hal.archives-ouvertes.fr/hal-00685067