Bibliography
Major publications by the team in recent years
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1G. Attuel, E. G. Gerasimova-Chechkina, F. Argoul, H. Yahia, A. Arnéodo.
Multifractal desynchronization of the cardiac excitable cell network during atrial fibrillation. I. Multifractal analysis of clinical data, in: Frontiers in Physiology, March 2018, vol. 8, pp. 1-30. [ DOI : 10.3389/fphys.2017.01139 ]
https://hal.inria.fr/hal-01673364 -
2G. Attuel, E. Gerasimova-Chechkina, F. Argoul, H. Yahia, A. Arnéodo.
Multifractal Desynchronization of the Cardiac Excitable Cell Network During Atrial Fibrillation. II. Modeling, in: Frontiers in Physiology, April 2019, vol. 10, pp. 480 (1-18). [ DOI : 10.3389/fphys.2019.00480 ]
https://hal.inria.fr/hal-02108521 -
3H. Badri, H. Yahia.
A Non-Local Low-Rank Approach to Enforce Integrability, in: IEEE Transactions on Image Processing, June 2016, 10 p.
https://hal.inria.fr/hal-01317151 -
4H. Badri, H. Yahia, K. Daoudi.
Fast and Accurate Texture Recognition with Multilayer Convolution and Multifractal Analysis, in: European Conference on Computer Vision, Zürich, Switzerland, ECCV 2014, September 2014.
https://hal.inria.fr/hal-01064793 -
5I. Hernandez-Carrasco, V. Garçon, J. Sudre, C. Garbe, H. Yahia.
Increasing the Resolution of Ocean pCO₂ Maps in the South Eastern Atlantic Ocean Merging Multifractal Satellite-Derived Ocean Variables, in: IEEE Transactions on Geoscience and Remote Sensing, June 2018, pp. 1 - 15. [ DOI : 10.1109/TGRS.2018.2840526 ]
https://hal.inria.fr/hal-01825810 -
6I. Hernández-Carrasco, J. Sudre, V. Garçon, H. Yahia, C. Garbe, A. Paulmier, B. Dewitte, S. Illig, I. Dadou, M. González-Dávila, J. Santana Casiano.
Reconstruction of super-resolution ocean pCO 2 and air-sea fluxes of CO 2 from satellite imagery in the Southeastern Atlantic, in: Biogeosciences, September 2015, 20 p, This work is a contribution to ESA Support To Science Element Grant N◦ 400014715/11/I-NB OceanFlux- Upwelling Theme. The Surface Ocean CO2 Atlas (SOCAT) is an international effort, supported by the International Ocean Carbon Coordination Project (IOCCP), the Surface Ocean Lower Atmo- sphere Study (SOLAS), and the Integrated Marine Biogeochem- istry and Ecosystem Research program (IMBER), to deliver a uni- formly quality-controlled surface ocean CO2 database. The many researchers and funding agencies responsible for the collection of data and quality control are thanked for their contributions to SO- CAT.
https://hal.inria.fr/hal-01193339 -
7V. Khanagha, K. Daoudi, H. Yahia.
Detection of Glottal Closure Instants based on the Microcanonical Multiscale Formalism, in: IEEE Transactions on Audio, Speech and Language Processing, December 2014.
https://hal.inria.fr/hal-01059345 -
8V. Khanagha, K. Daoudi, H. Yahia.
Efficient and robust detection of Glottal Closure Instants using Most Singular Manifold of speech signals, in: IEEE Transactions on Acoustics Speech and Signal Processing, 2014, forthcoming.
https://hal.inria.fr/hal-00802014 -
9S. Maji, H. Yahia, T. Fusco.
A Multifractal-based Wavefront Phase Estimation Technique for Ground-based Astronomical Observations, in: IEEE Transactions on Geoscience and Remote Sensing, November 2015, 11 p. [ DOI : 10.1109/TGRS.2015.2487546 ]
https://hal.inria.fr/hal-01254482 -
10S. K. Maji, H. Yahia.
Edges, Transitions and Criticality, in: Pattern Recognition, January 2014.
http://hal.inria.fr/hal-00924137 -
11O. Pont, A. Turiel, H. Yahia.
Singularity analysis in digital signals through the evaluation of their Unpredictable Point Manifold, in: International Journal of Computer Mathematics, 2012.
http://hal.inria.fr/hal-00688715 -
12J. Sudre, H. Yahia, O. Pont, V. Garçon.
Ocean Turbulent Dynamics at Superresolution From Optimal Multiresolution Analysis and Multiplicative Cascade, in: IEEE Transactions on Geoscience and Remote Sensing, June 2015, vol. 53, no 11, 12 p. [ DOI : 10.1109/TGRS.2015.2436431 ]
https://hal.inria.fr/hal-01166170 -
13A. Turiel, H. Yahia, C. Perez-Vicente.
Microcanonical multifractal formalism: a geometrical approach to multifractal systems. Part I: singularity analysis, in: Journal of Physics A: Math. Theor, 2008, vol. 41.
http://dx.doi.org/10.1088/1751-8113/41/1/015501 -
14H. Yahia, J. Sudre, C. Pottier, V. Garçon.
Motion analysis in oceanographic satellite images using multiscale methods and the energy cascade, in: Pattern Recognition, 2010, vol. 43, pp. 3591-3604.
http://dx.doi.org/10.1016/j.patcog.2010.04.011
Articles in International Peer-Reviewed Journals
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15G. Attuel, E. G. Gerasimova-Chechkina, F. Argoul, H. Yahia, A. Arnéodo.
Multifractal Desynchronization of the Cardiac Excitable Cell Network During Atrial Fibrillation. II. Modeling, in: Frontiers in Physiology, April 2019, vol. 10, pp. 480 (1-18). [ DOI : 10.3389/fphys.2019.00480 ]
https://hal.inria.fr/hal-02108521 -
16J. Barés, N. Brodu, H. Zheng, J. A. Dijksman.
Transparent experiments: releasing data from mechanical tests on three dimensional hydrogel sphere packings, in: Granular Matter, 2020, vol. 22, no 1, 21 p. [ DOI : 10.1007/s10035-019-0985-4 ]
https://hal.archives-ouvertes.fr/hal-02421533 -
17A. El Aouni, K. Daoudi, H. Yahia, S. K. Maji, K. Minaoui.
Defining Lagrangian coherent vortices from their trajectories, in: Physics of Fluids, January 2020, vol. 32, no 1, 016602 p. [ DOI : 10.1063/1.5138899 ]
https://hal.inria.fr/hal-02434480 -
18A. El Aouni, K. Daoudi, H. Yahia, K. Minaoui, A. Benazzouz.
Surface mixing and biological activity in the North-West African upwelling, in: Chaos, January 2019, vol. 29, no 1, 011104 p. [ DOI : 10.1063/1.5067253 ]
https://hal.inria.fr/hal-01985164 -
19A. El Aouni, V. Garçon, J. Sudre, H. Yahia, K. Daoudi, K. Minaoui.
Physical and Biological Satellite Observations of the Northwest African Upwelling: Spatial Extent and Dynamics, in: IEEE Transactions on Geoscience and Remote Sensing, October 2019, pp. 1-13. [ DOI : 10.1109/TGRS.2019.2946300 ]
https://hal.inria.fr/hal-02355252 -
20A. El Aouni, H. Yahia, K. Daoudi, K. Minaoui.
A Fourier approach to Lagrangian vortex detection, in: Chaos, September 2019, vol. 29, no 9, 093106 p. [ DOI : 10.1063/1.5115996 ]
https://hal.inria.fr/hal-02280186 -
21S. K. Maji, H. Yahia.
A Feature based Reconstruction Model for Fluorescence Microscopy Image Denoising, in: Scientific Reports, December 2019, vol. 9, no 1. [ DOI : 10.1038/s41598-019-43973-2 ]
https://hal.inria.fr/hal-02141414
International Conferences with Proceedings
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22B. Das, K. Daoudi, J. Klempir, J. Rusz.
Towards disease-specific speech markers for differential diagnosis in Parkinsonism, in: ICASSP 2019 - IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, United Kingdom, May 2019.
https://hal.inria.fr/hal-02103829 -
23A. El Aouni, K. Daoudi, H. Yahia, K. Minaoui.
The contribution and influence of coherent mesoscale eddies off the North-West African Upwelling on the open ocean, in: SIAM Conference on Mathematics of Planet Earth (MPE18), Philadelphia, United States, 2019.
https://hal.inria.fr/hal-01968851
Other Publications
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24G. Attuel, H. Yahia.
The fall of the reentry paradigm of cardiac fibrillation, July 2019, Second international Summer Institute on Network Physiology, Poster.
https://hal.inria.fr/hal-02294891
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25M. A. Allessie.
Atrial electrophysiologic remodeling : another vicious circle ?, in: J. Cardiovasc. Electrophysiol., 1998, vol. 9, pp. 1378–1393. -
26M. A. Allessie, I. F. Bonke, F. J. Schopman.
Circus movement in rabbit atrial muscle as a mechanism of tachycardia, in: Circ. Res., 1977, vol. 41, pp. 9–18. -
27A. Arnéodo, F. Argoul, E. Bacry, J. Elezgaray, J. F. Muzy.
Ondelettes, multifractales et turbulence, Diderot Editeur, Paris, France, 1995. -
28R. Arora.
Recent Insights Into the Role of the Autonomic Nervous System in the Creation of Substrate for Atrial Fibrillation, in: Circ. Arrhythm. Electrophysiol., 2012, vol. 5, pp. 859–859. -
29P. Attuel, et al..
Failure in the rate adaptation of the atrial refractory period: its relationship to vulnerability, in: Int. J. Cardio., 1982, vol. 2, no 2, pp. 179–197. -
30P. Attuel, et al..
Latent atrial vulnerability: new means of electrophysiologic investigations in paroxysmal atrial arrhythmias, in: The Atrium in Health and Disease, P. Attuel, P. Coumel, M. Janse (editors), 1989, pp. 1959–200. -
31N. Boccara.
Modeling Complex Systems, Springer, New-York Dordrecht Heidelberg London, 2010. -
32G. Boffetta, M. Cencini, M. Falcioni, A. Vulpiani.
Predictability: a way to characterize complexity, in: Physics Report, 2002, vol. 356, pp. 367–474, arXiv:nlin/0101029v1.
http://dx.doi.org/10.1016/S0370-1573(01)00025-4 -
33N. Brodu.
Reconstruction of epsilon-machines in predictive frameworks and decisional states, in: Advances in Complex Systems, 2011, vol. 14, no 05, pp. 761-794.
https://doi.org/10.1142/S0219525911003347 -
34N. Brodu.
Reconstruction of epsilon-machines in predictive frameworks and decisional states, in: Advances in Complex Systems, 2011, vol. 14, no 05, pp. 761–794. -
35N. Brodu, H. Yahia.
Stochastic Texture Difference for Scale-Dependent Data Analysis, in: arXiv preprint arXiv:1503.03278, 2015. -
36P. Castiglione, M. Falcioni, A. Lesne, A. Vulpiani.
Chaos and coarse graining in statistical mechanics, Cambridge University Press Cambridge, 2008. -
37M. Costa, A. L. Goldberger, C.-K. Peng.
Multiscale entropy analysis of complex physiologic time series, in: Physical review letters, 2002, vol. 89, no 6, 068102 p. -
38P. Coumel.
Paroxysmal Atrial Fibrillation: A Disorder of Autonomic Tone ?, in: Eur. Heart J., 1994, vol. 15, no Supp. A, pp. 9–16. -
39P. Coumel, et al..
The atrial arrhythmia syndrome of vagal origin, in: Arch. Mal. Coeur. Vaiss., 1978, vol. 71, no 6, pp. 645–656. -
40J. P. Crutchfield.
Between order and chaos, in: Nature Phys., 2012, vol. 8, pp. 17–24. -
41J. P. Crutchfield.
Between order and chaos, in: Nature Physics, 2012, vol. 8, no 1, pp. 17–24. -
42J. P. Crutchfield, K. Young.
Inferring statistical complexity, in: Physical Review Letters, 1989, vol. 63, no 2, 105 p. -
43G. Falasco, G. Saggiorato, A. Vulpiani.
About the role of chaos and coarse graining in statistical mechanics, in: Physica A: Statistical Mechanics and its Applications, 2015, vol. 418, pp. 94–104. -
44D. P. Feldman, J. P. Crutchfield.
Measures of statistical complexity: Why?, in: Physics Letters A, 1998, vol. 238, no 4-5, pp. 244–252. -
45P. Flandrin.
Time-frequency/time-scale analysis, Academic press, 1998, vol. 10. -
46G. Goerg, C. Shalizi.
Mixed LICORS: A nonparametric algorithm for predictive state reconstruction, in: Artificial Intelligence and Statistics, 2013, pp. 289–297. -
47R. M. Gray.
Entropy and information theory, Springer Science & Business Media, 2011. -
48M. Haissaguerre, et al..
Spontaneous initiation of atrial fibrillation by ectopic beats originating in the pulmonary veins, in: N. Engl. J. Med., 1998, vol. 339, no 10, pp. 659–666. -
49H. Ito, L. Glass.
Spiral breakup in a new model of discrete excitable media, in: Phys. Rev. Lett., 1991, vol. 66, no 5, pp. 671–674. -
50P. A. Ivanov, et al..
Multifractality in human heartbeat dynamics, in: Nature, 1999, vol. 399, pp. 461–465. -
51H. Janicke, A. Wiebel, G. Scheuermann, W. Kollmann.
Multifield visualization using local statistical complexity, in: IEEE Transactions on Visualization and Computer Graphics, 2007, vol. 13, no 6, pp. 1384–1391. -
52J. M. Janse.
Why does atrial fibrillation occur ?, in: Eur. Heart J., 1997, vol. 18, no Suppl. Q, pp. C12–C18. -
53L. P. Kadanoff.
Statistical physics, statics, dynamics & renormalization, World Scie,tific, 2000. -
54A. Karma.
Spiral breakup in model equations of action potential propagation in cardiac tissue, in: Phys. Rev. Lett., 1993, vol. 71, no 7, pp. 1103–1106. -
55N. Komodakis, G. Tziritas.
Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning, in: IEEE Transactions on Image Processing, Nov 2007, vol. 16, no 11, pp. 2649-2661. [ DOI : 10.1109/TIP.2007.906269 ] -
56M. Martin, A. Plastino, O. Rosso.
Generalized statistical complexity measures: Geometrical and analytical properties, in: Physica A: Statistical Mechanics and its Applications, 2006, vol. 369, no 2, pp. 439–462. -
57D. Min, S. Choi, J. Lu, B. Ham, K. Sohn, M. Do.
Fast Global Image Smoothing Based on Weighted Least Squares, in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 10 2014, vol. 23. [ DOI : 10.1109/TIP.2014.2366600 ] -
58A. R. Misier, et al..
Increased dispersion of ’refractoriness’ in patients with idiopathic paroxysmal atrial fibrillation, in: J. Am. Coll. Cardiol., 1992, vol. 19, pp. 1531–1535. -
59G. Moe, J. A. Abildskov.
Atrial fibrillation as a self-sustaining arrhythmia independent of focal discharge, in: Am. Heart J., 1959, vol. 58, no 1, pp. 59–70. -
60G. Moe, W. Rheinboldt, J. A. Abildskov.
A computer model of atrial fibrillation, in: Am. Heart J., 1964, vol. 67, no 2, pp. 200–220. -
61J. Nadal, P. E. Grassberger.
From Statistical Physics to Statistical Inference and Back, Springer, New York Heidelberg Berlin, 1994.
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62P. Rensma, et al..
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63C. R. Shalizi, K. L. Shalizi, R. Haslinger.
Quantifying Self-Organization with Optimal Predictors, in: Phys. Rev. Lett., Sep 2004, vol. 93, 118701 p.
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64C. R. Shalizi, K. L. Shalizi.
Blind construction of optimal nonlinear recursive predictors for discrete sequences, in: Proceedings of the 20th conference on Uncertainty in artificial intelligence, AUAI Press, 2004, pp. 504–511. -
65J. Smeets, et al..
The wavelength of the cardiac impulse and reentrant arrhythmias in isolated rabbit atrium. The role of heart rate, autonomic transmitters, temperature, and potassium, in: Circ. Res., 1986, vol. 1, pp. 96–108. -
66J. L. Starck, F. Murthag, J. Fadili.
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67F. Takens.
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69J. Ulphani, et al..
The ligament of Marshall as a parasympathetic conduit, in: Am. J. Physiol. Heart Circ. Physiol., 2007, vol. 293, no 3, pp. H1629–H1635. -
70V. Venugopal, et al..
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71M. Wijffels, et al..
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