J. Alon, V. Athitsos, Q. Yuan, and S. Sclaroff, A unified framework for gesture recognition and spatiotemporal gesture segmentation. IEEE transactions on pattern analysis and machine intelligence, vol.31, pp.1685-1699, 2008.

C. Bénar, L. Chauvière, F. Bartolomei, and F. Wendling, Pitfalls of high-pass filtering for detecting epileptic oscillations: a technical note on false ripples, Clinical Neurophysiology, vol.121, issue.3, pp.301-310, 2010.

G. Birot, A. Kachenoura, L. Albera, C. Bénar, and F. Wendling, Automatic detection of fast ripples, Journal of neuroscience methods, vol.213, issue.2, pp.236-249, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00782646

K. Blinowska and P. Durka, Electroencephalography (eeg), 2006.

A. Bragin, J. Engel, C. L. Wilson, I. Fried, and G. Buzsáki, High-frequency oscillations in human brain, Hippocampus, vol.9, issue.2, pp.137-142, 1999.

A. Bragin, J. Engel, C. L. Wilson, I. Fried, and G. W. Mathern, Hippocampal and entorhinal cortex high-frequency oscillations (100-500 hz) in human epileptic brain and in kainic acid-treated rats with chronic seizures, Epilepsia, vol.40, issue.2, pp.127-137, 1999.

A. Bragin, I. Mody, C. L. Wilson, and J. Engel, Local generation of fast ripples in epileptic brain, Journal of Neuroscience, vol.22, issue.5, pp.2012-2021, 2002.

N. A. Chadwick, D. A. Mcmeekin, and T. Tan, Classifying eye and head movement artifacts in eeg signals, 5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011), pp.285-291, 2011.

M. De-curtis and G. Avanzini, Interictal spikes in focal epileptogenesis, Progress in neurobiology, vol.63, issue.5, pp.541-567, 2001.

E. Despouy, J. Curot, M. Denuelle, M. Deudon, J. Sol et al., Neuronal spiking activity highlights a gradient of epileptogenicity in human tuberous sclerosis lesions, Clinical Neurophysiology, vol.130, issue.4, pp.537-547, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02353120

H. Ding, G. Trajcevski, P. Scheuermann, X. Wang, and E. Keogh, Querying and mining of time series data: experimental comparison of representations and distance measures, Proceedings of the VLDB Endowment, vol.1, issue.2, pp.1542-1552, 2008.

R. S. Fisher, W. V. Boas, W. Blume, C. Elger, P. Genton et al., Epileptic seizures and epilepsy: definitions proposed by the international league against epilepsy (ilae) and the international bureau for epilepsy (ibe), Epilepsia, vol.46, issue.4, pp.470-472, 2005.

B. Frauscher, F. Bartolomei, K. Kobayashi, J. Cimbalnik, M. A. Van-t-klooster et al., High-frequency oscillations: the state of clinical research, Epilepsia, vol.58, issue.8, pp.1316-1329, 2017.

J. Gotman, J. Gotman, and P. Gloor, Automatic recognition and quantification of interictal epileptic activity in the human scalp eeg. Electroencephalography and clinical neurophysiology, Journal of Clinical Neurophysiology, vol.16, issue.2, pp.513-529, 1976.

M. C. Hao, U. Dayal, D. A. Keim, and T. Schreck, , 2007.

, Multi-resolution techniques for visual exploration of large time-series data, EUROVIS 2007, pp.27-34

Y. Höller, R. Kutil, L. Klaffenböck, A. Thomschewski, P. M. Höller et al., High-frequency oscillations in epilepsy and surgical outcome. a metaanalysis, Frontiers in human neuroscience, vol.9, p.574, 2015.

J. M. Ibarz, G. Foffani, E. Cid, M. Inostroza, and L. M. Prida, Emergent dynamics of fast ripples in the epileptic hippocampus, Journal of Neuroscience, vol.30, issue.48, pp.16249-16261, 2010.

W. Javed and N. Elmqvist, Stack zooming for multi-focus interaction in time-series data visualization, 2010 IEEE Pacific Visualization Symposium (PacificVis), vol.16, pp.927-934, 2010.

J. Jing, J. Dauwels, T. Rakthanmanon, E. Keogh, S. Cash et al., Rapid annotation of interictal epileptiform discharges via template matching under dynamic time warping, Journal of neuroscience methods, vol.274, pp.179-190, 2016.

N. Jrad, A. Kachenoura, I. Merlet, F. Bartolomei, A. Nica et al., Automatic detection and classification of high-frequency oscillations in depth-eeg signals, IEEE Transactions on Biomedical Engineering, vol.64, issue.9, pp.2230-2240, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01618936

E. Keogh, L. Wei, X. Xi, M. Vlachos, S. Lee et al., Supporting exact indexing of arbitrarily rotated shapes and periodic time series under euclidean and warping distance measures, The VLDB journal, vol.18, issue.3, pp.611-630, 2009.

R. Kincaid and H. Lam, Line graph explorer: scalable display of line graphs using focus+ context, Proceedings of the working conference on Advanced visual interfaces, pp.404-411, 2006.

M. Latka, Z. Was, A. Kozik, and B. J. West, Wavelet analysis of epileptic spikes, Physical Review E, vol.67, issue.5, p.52902, 2003.

J. Lin, E. Keogh, S. Lonardi, J. P. Lankford, and D. M. Nystrom, Visually mining and monitoring massive time series, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pp.460-469, 2004.

T. Rakthanmanon, B. Campana, A. Mueen, G. Batista, B. Westover et al., Searching and mining trillions of time series subsequences under dynamic time warping, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pp.262-270, 2012.

N. Roehri, J. Lina, J. C. Mosher, F. Bartolomei, and C. Bénar, Time-frequency strategies for increasing high-frequency oscillation detectability in intracerebral eeg, IEEE Transactions on Biomedical Engineering, vol.63, issue.12, pp.2595-2606, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01316459

N. Roehri, F. Pizzo, F. Bartolomei, F. Wendling, and C. Bénar, What are the assets and weaknesses of hfo detectors? a benchmark framework based on realistic simulations, PloS one, vol.12, issue.4, p.174702, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01508709

N. Roehri, F. Pizzo, S. Lagarde, I. Lambert, A. Nica et al., High-frequency oscillations are not better biomarkers of epileptogenic tissues than spikes, Annals of neurology, vol.83, issue.1, pp.84-97, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01672105

Y. Roy, H. Banville, I. Albuquerque, A. Gramfort, T. H. Falk et al., Deep learning-based electroencephalography analysis: a systematic review, Journal of neural engineering, 2019.

T. Saito, H. N. Miyamura, M. Yamamoto, H. Saito, Y. Hoshiya et al., Two-tone pseudo coloring: Compact visualization for one-dimensional data, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005, pp.173-180, 2005.

B. W. Silverman, Density estimation for statistics and data analysis, 2018.

Y. Song, J. Crowcroft, J. Zhang, Y. Song, and P. Liò, A new approach for epileptic seizure detection: sample entropy based feature extraction and extreme learning machine, Journal of Biomedical Science and Engineering, vol.210, issue.2, p.556, 2010.

R. J. Staba, C. L. Wilson, A. Bragin, I. Fried, and J. Engel, Quantitative analysis of highfrequency oscillations (80-500 hz) recorded in human epileptic hippocampus and entorhinal cortex, Journal of neurophysiology, vol.88, issue.4, pp.1743-1752, 2002.

K. J. Staley and F. E. Dudek, Interictal spikes and epileptogenesis, Epilepsy Currents, vol.6, issue.6, pp.199-202, 2006.

J. Talairach and J. Bancaud, Lesion," irritative" zone and epileptogenic focus, vol.27, pp.91-94, 1966.

M. Valero, R. G. Averkin, I. Fernandez-lamo, J. Aguilar, D. Lopez-pigozzi et al., Mechanisms for selective single-cell reactivation during offline sharp-wave ripples and their distortion by fast ripples, Neuron, vol.94, issue.6, pp.1234-1247, 2017.

J. J. Van-wijk and E. R. Van-selow, Cluster and calendar based visualization of time series data, Proceedings 1999 IEEE Symposium on Information Visualization (InfoVis' 99), pp.4-9, 1999.

Y. Wang, F. Han, L. Zhu, O. Deussen, C. et al., Line graph or scatter plot? automatic selection of methods for visualizing trends in time series, IEEE transactions on visualization and computer graphics, vol.24, issue.2, pp.1141-1154, 2017.

M. Weber, M. Alexa, and W. Müller, Visualizing time-series on spirals, Infovis, vol.1, pp.7-14, 2001.

J. O. Wobbrock, A. D. Wilson, L. , and Y. , Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes, Proceedings of the 20th annual ACM symposium on User interface software and technology, pp.159-168, 2007.

R. Zelmann, M. Zijlmans, J. Jacobs, C. Châtillon, and J. Gotman, Improving the identification of high frequency oscillations, Clinical Neurophysiology, vol.120, issue.8, pp.1457-1464, 2009.

J. Zhao, F. Chevalier, E. Pietriga, and R. Balakrishnan, Exploratory analysis of time-series with chronolenses, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.12, pp.2422-2431, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00637082