François Vialatte

Education
    • 2014 | Bachelore in psychology (Paris VIII - Université Vincennes-St Denis)
    • 2013 | Habilitation thesis (Paris VI - University UPMC. Defense in September 3rd, 2013)
    • 2002-2005 | PhD in Cognitive Neurosciences (Paris VI University UPMC, signal processing and machine learning for EEG and LFP signals. Multidisciplinary thesis with Two PhD supervisors : Prof. G.Dreyfus, Prof. R. Gervais. Defense in December 16th, 2005)
    • 2001-2002 | Master’s degree in Cognitive Science (Paris VI - University UPMC - Internship in Electronic Laboratory of ESPCI)
    • 2001-2002 | Engineer diploma : Master’s degree in Computer Science
      Epita engineering school (Cognitive Science and Computational Intelligence specialization (www.epita.fr/en), Paris)
Research and Teachning Experience
    • 2016-2017 | CNRS stint, Brain Plasticity Unit.
    • 2015-now | Associate Professor (ESPCI Paris, head of the BCI team, Brain Plasticity Unit)
    • 2010-2014 | Associate Professor (ESPCI Paris, SIGMA Laboratory)
    • 2006-2014 | Research scientist, Riken BSI (Wako-Shi, Japan)
    • 2002-2005 | PhD research associate
    • 2000-2001 | Co-founder and research director of Essilab SA (private company)
    • 1999-2000 | Adjunct professor (EPITA)
Publications

ORCID :

International journal papers with peer-review comittee | International review papers with peer-review comittee | International conference papers with peer-review comittee | Invited conferences

International journal papers with peer-review comittee

    • Emge D.K., Vialatte F.B., Dreyfus G., Adalı T., Independent Vector Analysis for SSVEP Signal Enhancement, Detection, and Topographical Mapping. Brain Topography, 2016, in press.
    • La Corte V., Sperduti M., Malherbe C., Vialatte F., Lion S., Gallarda T., Oppenheim C., Piolino P. Cognitive Decline and Reorganization of Functional Connectivity in Healthy Aging : The Pivotal Role of the Salience Network in the Prediction of Age and Cognitive Performances. Front Aging Neurosci. 2016, 8:204.
    • Solé-Casals J., Vialatte F.B., Towards Semi-Automatic Artifact Rejection for the Improvement of Alzheimer’s Disease Screening from EEG Signals. Sensors 2015, 15(8):17963-17976.
    • Houmani N., Dreyfus G., Vialatte F.B., Epoch-based entropy for early screening of Alzheimer’s disease, International Journal of Neural Systems, 2015, 25(8):1550032.
    • Gallego-Jutglà E., Solé-Casals J., Vialatte F.B., Elgendi M., Cichocki A., Dauwels J., A hybrid feature selection approach for the early diagnosis of Alzheimer’s disease. Journal of Neural Engineering, 2015, 12(1):016018.
    • Gallego-Jutglà E, Solé-Casals J, Vialatte FB, Dauwels J, Cichocki A. A Theta-Band EEG Based Index for Early Diagnosis of Alzheimer’s Disease. J Alzheimers Dis., 2015, 43(4):1175-84
    • 1Vialatte F.B., Zhang X., Rathi A., Dreyfus G. Embedded Implementation of Second-Order Blind Identification (SOBI) for Real-Time Applications in Neuroscience. Cognitive Computation, 2014, 7(1):56-63. (co-1st author)
    • Hiyoshi-Taniguchi K., Kawasaki M., Yokota T., Bakardjian H., Fukuyama H., Cichocki A., Vialatte F.B. EEG correlates of Voice and Face Emotional Judgements in the Human Brain. Cognitive Computation, 2014, 7(1):11-19.
    • Tomita Y, Vialatte FB, Dreyfus G, Mitsukura Y, Bakardjian H, Cichocki A, Bimodal BCI using simultaneously NIRS and EEG, IEEE Trans Bio-Med Eng, 2014, 61(4):1274-1284.
    • Vialatte F.B., Dauwels J., Musha T., Cichocki A., Audio representations of multi-channel EEG : a new tool for diagnosis of brain disorders, American Journal of Neurodegenerative Disease, 2012 ;1(3):292-304. (invited journal paper).
    • Latchoumane C.F.V., Vialatte F.B., Solé-Casals J., Maurice M., Wimalaratna S.R., Hudson N., Jeong J., Cichocki A. Multiway Array Decomposition Analysis of EEGs in Alzheimer’s Disease. J. Neuroscience Methods, 2012, 207:41-50.
    • Dauwels J., Weber T., Vialatte F., Musha T., Cichocki A., Quantifying Statistical Interdependence PART III : N > 2 Point Processes. Neural Computation, 2012, 24(2):408-54.
    • Vialatte F.B., Dauwels J., Maurice M., Musha T., Cichocki A. Improving the Specificity of EEG for Diagnosing Alzheimer’s Disease. Int J Alzheimers Dis. 2011 ; 2011 : 259069. (invited journal paper).
    • Dauwels J, Srinivasan K, Ramasubba Reddy M, Musha T, Vialatte FB, Latchoumane C, Jeong J, Cichocki A. Slowing and Loss of Complexity in Alzheimer’s EEG : Two Sides of the Same Coin ? Int J Alzheimers Dis. 2011, 2011:539621. (invited journal paper).
    • Dauwels J., Vialatte F.B., Cichocki A., Diagnosis of Alzheimer’s Disease from EEG Signals : Where Are We Standing ?, Current AD Research, 2010, 7(6):484-505 (invited review paper).
    • Dauwels J., Vialatte F.B., Musha T., Cichocki A. A comparative study of synchrony measures for the early diagnosis of Alzheimer’s disease based on EEG, Neuroimage, 2010, 49:668-693.
    • Vialatte F.B., Solé-Casals J., Dauwels J., Maurice M., Cichocki A. Bump Time-Frequency Toolbox : a Toolbox for Time-Frequency Oscillatory Bursts Extraction in Electrophysiological Signals, BMC Neuroscience, 2009, 10:46.
    • Vialatte FB, Dauwels J, Maurice M, Yamaguchi Y, Cichocki A. On the synchrony of steady state visual evoked potentials and oscillatory burst events, Cognitive Neurodynamics, 2009 3(3):251-61.
    • Dauwels J., Vialatte F., Weber T., Cichocki A. Quantifying statistical interdependance by message passing on graphs, PART I : algorithms and applications to neural signals, Neural Computation, 2009, 21(8):2152-2202.
    • Dauwels J., Vialatte F., Weber T., Cichocki A. Quantifying statistical interdependance by message passing on graphs, PART II : Multi-Dimensional Point Processes, Neural Computation, 2009, 21(8):2203-2268.
    • Vialatte F.B., Bakardjian H., Prasad R., Cichocki, A. EEG paroxysmal gamma waves during Bhramari Pranayama : a yoga breathing technique, Consciousness and Cognition, 2009, 18:977–988.
    • Vialatte F., Solé-Casals J., Cichocki A. EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts, Physiological Measurement, 2008, 29(12):1435-52.
    • Vialatte F., Cichocki, A. Split-Test Bonferroni correction for QEEG Statistical Maps, Biological Cybernetics, 2008, 98(4):295-303.
    • Vialatte F., Martin C., Dubois R., Quenet B., Gervais R., Dreyfus G. A machine learning approach to the analysis of time-frequency maps, and its application to neural dynamics, Neural Networks 2007, 20:194-209.
    • Chen Z., Ohara S., Cao J., Vialatte F.B., Lenz F.A., Cichocki A. Statistical modeling and analysis of laser-evoked potentials of electrocorticogram recordings from awake humans. Computational Intelligence and Neuroscience, vol. 2007, Article ID 10479, 24 pages, 2007. doi:10.1155/2007/10479.
    • Woon W.L., Cichocki A., Vialatte F., Musha T. Techniques for early detection of Alzheimer’s disease using spontaneous EEG recordings, Physiological Measurement 2007, 28(4):335-347.

International review papers with peer-review comittee

    • Arns M, Batail JM, Bioulac S, Congedo M, Daudet C, Drapier D, Fovet T, Jardri R, Le-Van-Quyen M, Lotte F, Mehler D, Micoulaud-Franchi JA, Purper-Ouakil D, Vialatte F. Neurofeedback : One of today’s techniques in psychiatry ? Encephale. 2016, S0013-7006(16)30275-5.
    • Gaume A., Vialatte A., Mora Sánchez A., Ramdani C., Vialatte F.B., A psychoengineering paradigm for the neurocognitive mechanisms of biofeedback and neurofeedback. Neuroscience and Biobehavioral Reviews, 2016, 68:891-910.
    • Solé-Casals J., Vialatte F.B., Dauwels J. Alternative Techniques of Neural Signal Processing in Neuroengineering. Cogn Comput, 2015, 7(1):1–2.
    • Vialatte F.B., Maurice M., Dauwels J., Cichocki A. Steady-State Visually Evoked Potentials : Focus on Essential Paradigms and Future Perspectives, Progress in Neurobiology, 2010, 90(4):418-438.

International conference papers with peer-review comittee

    • Lachaud L., Raoult A., Trousselard M., Vialatte F.B. Electroencephalogram Study of Change Blindness in Mindful Subjects. ICCN 2017, Paris, France.
    • Mora Sánchez A., Gaume A., Dreyfus G., Vialatte F.B., A Cognitive Brain-Computer Interface Prototype For The Continusous Monitoring Of Visual Working Memory Load. 25th IEEE MLSP international workshop, September 17-20, Boston, USA, 2015.
    • Emge D.K., Vialatte F.B., Dreyfus G., Adali T., Independent vector analysis for SSVEP signal enhancement, CISS 49th conference, 18-20 March, Baltimore, MD, USA, 2015.
    • Abbasi M.A., Gaume A., Francis N., Dreyfus G., Vialatte F.B., Fast Calibration of a Thirteen-command BCI by Simulating SSVEPs from Trains of Transient VEPs – Towards Time-domain SSVEP BCI Paradigms. 7th International IEEE/EMBS Conference on Neural Engineering, Montpellier, France, April 22-24 2015.
    • Gaume A., Abbasi M.A., Dreyfus G., Vialatte F.-B., Towards Cognitive BCI : Neural Correlates of Sustained Attention in a Continuous Performance Task. 7th International IEEE/EMBS Conference on Neural Engineering, Montpellier, France, April 22-24 2015.
    • Thorey J., Adibpour P., Tomita Y., Gaume A., Bakardjian H., Dreyfus G., Vialatte F.B. Fast BCI calibration Comparing methods to adapt BCI systems for new subjects. Proc. NCTA 2012, Barcelona, Spain.
    • Hiyoshi-Taniguchi K., Kawasaki M., Yokota T., Bakardjian H., Fukuyama H., Vialatte F.B., and Cichocki A. EEG alpha range dynamics and emotional judgments of face and voices. Proc. NCTA 2012, Barcelona, Spain.
    • Rathi A., Zhang X., Vialatte F. FPGA implementation of SOBI to perform BSS in real time. Proc. NCTA 2012, Barcelona, Spain.
    • Rokicki J., Hiyoshi K., Vialatte F.B., Usinkas A., Cichocki A. Early Alzheimer’s disease progression detection using Multi-subnetworks of the brain. Proc. NCTA 2012, Barcelona, Spain. (best student paper award)
    • Gallego-Jutglà E., Elgendi M., Vialatte F., Solé-Casals J., Cichocki A., Latchoumane C., Jeong J., Dauwels J., Diagnosis of Alzheimer’s Disease from EEG by Means of Synchrony Measures in Optimized Frequency Bands, 34th Annual International IEEE EMBS Conference, Hilton San Diego Bayfront, San Diego, Aug. 28- Sept. 1, 2012.
    • Tomita Y., Gaume A., Bakardjian H., Maurice M., Cichocki A., Yamaguchi Y., Dreyfus G., Vialatte F.B. Concatenation method for high-temporal resolution SSVEP BCI. NCTA conference proceedings, INSTICC, Lieusaint, Paris, France, 24-26 October 2011.
    • Elgendi M., Vialatte F., Constable M., Dauwels J. Immersive neurofeedback : a new paradigm. NCTA conference proceedings, INSTICC, Lieusaint, Paris, France, 24-26 October 2011.
    • Hiyoshi-Taniguchi K., Vialatte F.B., Kawasaki M., Fukuyama H., Cichocki A. Neurodynamics of emotional judgments in the human brain. NCTA conference proceedings, INSTICC, Lieusaint, Paris, France, 24-26 October 2011.
    • Elgendi M., Vialatte F., Cichocki A., Dauwels J. Optimization of EEG Frequency Bands for Improved Diagnosis of Alzheimer Disease. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11), Boston, MA, August 30-September 3, 2011.
    • Elgendi M., Rebsamen B., Cichocki A., Vialatte F., Dauwels J. Real-Time Wireless Sonification of Brain Signals. 3rd International Conference on Cognitive Neurodynamics (ICCN 2011), Hilton Niseko Village, Hokkaido, Japan, June 9–13, 2011
    • Vialatte F.B., Maurice M., Tanaka T., Yamaguchi Y., Cichocki A. Analyzing Steady State Visual Evoked Potentials Using Blind Source Separation. Proc. APSIPA Annual Summit and Conference 2010 (APSIPA 2010), December 14-17, Biopolis, Singapore.
    • Dauwels J., Vialatte F., Topics in Brain Signal Processing, Proc. APSIPA Annual Summit and Conference 2010 (APSIPA 2010), December 14-17, Biopolis, Singapore
    • Vialatte F.B., Latchoumane C.F.V., Hudson N., Wimalaratna S., Solé-Casals J., Jeong J., Cichocki A. Sparse bump modeling of mildAD patients : Modeling Transient Oscillations in the EEG of Patients with Mild Alzheimer’s Disease. Proceedings of the 3rd conference on Bio-inspired Systems and Signal Processing, Barcelona, Spain, 20-23 january 2010.
    • Solé-Casals J., Vialatte F., Pantel J., Prvulovic D., Haenschel C., Cichocki A. ICA cleaning procedure for EEG signals analysis : Application to Alzheimer’s Disease Detection. Proceedings of the 3rd conference on Bio-inspired Systems and Signal Processing, Barcelona, Spain, 20-23 january 2010.
    • Dauwels J., Vialatte F., Latchoumane C., Jeong J., Cichocki A. EEG Synchrony Analysis for Early Diagnosis of Alzheimer’s Disease : A Study with Several Synchrony Measures and EEG Data Sets. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE EMBS, 2009, 1:2224-7.
    • Vialatte F.B., Solé-Casals J., Hazart A., Prvulovic D., Dauwels J., Pantel J., Haenschel C., Cichocki A. Modeling transient oscillations in the EEG of patients with mild cognitive impairment. ICCN 2009, Hangzhou, China, Nov. 15-19 2009, Springer, in press.
    • Dauwels J., Vialatte F.B., Cichocki A. On the Early Diagnosis of Alzheimer’s Disease from EEG Signals : A Mini-Review. ICCN 2009, Nov. 15-19 2009, Hangzhou, China, Nov. 15-19 2009, Springer, in press.
    • Hazart A., Vialatte F., Cichocki A. Analysis of EEG time series recorded from Alzheimer patients based on their spectral content. ICCN 2009, Nov. 15-19 2009, Hangzhou, China, Nov. 15-19 2009, Springer, in press.
    • Latchoumane C.F.V, Vialatte F.B., Jeong J., Cichocki A. EEC Classification of Mild and Severe Alzheimer’s Disease using Parallel Factor Analysis Method (PARAFAC Decomposition of Spectral-Spatial Characteristics of EEG Time Series) Advances in Electrical Engineering and Computational Science, Edited by Ao S.I., Gelman L. Springer 2009:705-715.
    • Vialatte F.B., Maurice M., Dauwels J., Cichocki A. Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz). 15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008. ICONIP 2008, LNCS, Part I, 5506:399–406, published in 2009.
    • Vialatte F.B., Dauwels J., Solé-Casals J., Maurice M., Cichocki A.Improved Sparse Bump Modeling for Electrophysiological Data. 15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008 ICONIP 2008, LNCS, Part I, 5506:224-231, published in 2009.
    • Vialatte F.B., Solé-Casals J., Maurice M., Latchoumane C., Hudson N., Wimalaratna S., Jeong J., Andrzej C. Improving the Quality of EEG Data in Patients With Alzheimers Disease Using ICA 15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008 ICONIP 2008, LNCS, Part II, 5507:979–986, published in 2009.
    • Dauwels J., Vialatte F.B., Weber T., Cichocki A. An exemplar-based statistical model for the dynamics of neural synchrony 15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008 ICONIP 2008, LNCS, to appear
    • Dauwels J., Tsukada Y., Sakumura Y., Ishii S., Aoki K., Nakamura T., Matsuda M., Vialatte F.B., Cichocki A.On the synchrony of morphological and molecular signaling events in cell migration. 15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008 ICONIP 2008, LNCS, to appear
    • Dauwels J., Vialatte F.B., Weber T., Cichocki A. On similarity measures for spike trains. 15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008. ICONIP 2008, LNCS, to appear
    • Solé-Casals J., Vialatte F.B., Chen Z., Cichocki A. Coherency and sharpness measures by using ICA algorithms. An investigation for Alzheimer’s disease discrimination 2nd International Conference on Bio-inspired systems and signal processing, Porto, Portugal, January 14-17 2009. Proceedings of Biosignals’09
    • Vialatte F., Dauwels J., Rutkowski T.M., Cichocki A. Oscillatory Event Synchrony During Steady State Visual Evoked Potentials. Advances in Cognitive Neurodynamics, Edited by Wang R, Gu F, Shen E, Springer 2008:439-442.
    • Dauwels J., Weber T., Vialatte F., Cichocki A. Quantifying the Similarity of Multiple Multi-Dimensional Point Processes by Integer Programming with Application to Early diagnosis of Alzheimer’s Disease from EEG. EMBS proceedings 2008.
    • Latchoumane C.-F.V., Vialatte F., Cichocki A., Jeong J. Multiway analysis of Alzheimer’s disease : classification based on space-frequency characteristics of EEG time series. WCE proceedings 2008.
    • Dauwels J., Rutkowski T.M., Vialatte F., Cichocki A. On the synchrony of empirical mode decompositions with application to electroencephalography. 33rd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, Las Vegas, Nevada, USA, March 30 - April 4, 2008. Proc. IEEE ICASSP2008, 473-476.
    • Solé-Casals J., Vialatte F., Chen Z., Cichocki A. Investigation of ICA algorithms for feature extraction of EEG signals in discrimination of Alzheimer disease. International Conference on Bio-inspired systems and signal processing, Funchal, Madeira, Portugal, January 28-31 2008 Proc. Biosignals’08.
    • Dauwels J., Vialatte F., Rutkowski T.M., Cichocki A. Measuring Neural Synchrony by Message Passing. In Advances in Neural Information Processing Systems 20, Edited by Platt J, Koller D, Singer Y, Roweis S, Cambridge, MA : MIT Press 2008:361-368.
    • Dauwels J., Rutkowski T.M., Vialatte F., Cichocki A. On the synchronization of empirical mode decomposition with application to electroencephalography MBC’07 Workshop, Whistler, December 7-9 2007.
    • Dauwels J., Vialatte F., Cichocki A. On Synchrony Measures for the Detection of Alzheimer’s Disease based on EEG. 14th International Conference on Neural Information Processing, ICONIP, Kita Kyushu, Japan, November 13-16 2007. LNCS 4989:112-125.
    • Vialatte F., Solé-Casals J., Cichocki A. EEG windowed statistical wavelet deviation for estimation of muscular artifacts. 32nd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, Honolulu, USA, April 15 - 20, 2007. Proc IEEE ICASSP 2007, IV:1161-1164.
    • Dauwels J., Vialatte F., Cichocki A. A novel measure for synchrony and its application to neural signals. 32nd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, Honolulu, USA, April 15 - 20, 2007. Proc IEEE ICASSP 2007, IV:1165-1168.
    • Vialatte F., Cichocki A. Sparse Bump Sonification : a New Tool for Multichannel EEG Diagnosis of Mental Disorders ; Application to the Detection of the Early Stage of Alzheimer’s Disease. 13th International Conference on Neural Information Processing, ICONIP, Hong Kong, China, October 3-6 2006. LNCS 4234:92-101.
    • Rutkowski T.M., Vialatte F., Cichocki A., Mandic D.P., Barros A.K. Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach -. 10th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems, KES 2006, Bournemouth, UK, October 9-11 2006. LNAI 4253:1232-1239.
    • Astolfi L., Cincotti F., Mattia D., Babiloni F., Grazia Marciani M., De Vico Fallani F., Mattiocco M., Miwakeichi F., Yamaguchi Y., Martinez P., Salinari S., Tocci A., Bakardjian H., Vialatte F.B., Cichocki A. Removal of ocular artifacts for high resolution EEG studies : a simulation study 28th IEEE Conference of the Engineering in Medicine and Biology Society, EMBS, New York City, USA, August 30 - September 3 2006. Proc IEEE EMBS 2006, 976 - 979.
    • Vialatte F., Cichocki A., Dreyfus G., Musha T., Rutkowski T., Gervais R. Blind source separation and sparse bump modelling of time frequency representation of EEG signals : New tools for early detection of Alzheimer’s disease. IEEE Workshop on Machine Learning for Signal Processing 2005, Mystic CT, USA, September 28-30. Proc. IEEE MLSP 2005.

Invited conferences

    • Vialatte F.B., Neurofeedback et approche dimensionnelle : vers une « EEGcopée » sur le modèle de la pharmacopée ? 2ème journée nationale sur le neurofeedback, ESPCI Paris, France, January 2017.
    • Vialatte F.B., Modèle d’apprentissage en neurofeedback : de l’intégration du signal à la plasticité cérébrale. 1ère journée nationale sur le neurofeedback, ICM, Paris, France, January 2016. Youtube stream
    • Vialatte F.B., Towards cognitive brain-computer interfaces. University of Vic, 1st Biomedical Day, 2015, Vic, Spain.
    • Vialatte F.B., Neurodynamics at the early stage of Alzheimer’s disease. 20th Neuromeeting, Beaune, France, 26-29 January 2011.
    • Vialatte F.B., Dauwels J., Dreyfus G. Bumps, BSS, synchrony and Alzheimer. The Learning workshop, Fort Lauderdale, FL, April 13-16, 2011.
    • Vialatte F.B. Neurodynamics of EEG at the single trial level. EPFL, Lausanne, Suisse, May. 18th, 2010.
    • Vialatte F.B. Alzheimer’s Disease Local and Large-Scale Brain Dynamics. Universitad de Vic, Vic, Spain, Jan. 18th, 2010.
    • Vialatte F.B. Alzheimer’s Disease, Analysis of Cognitive Processes. Bangor University, Cognitive Neuroscience Colloquium series, Jan. 15th, 2010, Bangor, UK.
    • Vialatte F.B., Latchoumane C.F., Dauwels J., Maurice M., Jeong J., Cichocki A. Alzheimer’s Disease – Local and Large-Scale Brain Dynamics, European Winter Conference on Brain Research, Les Menuires, France, March 7-14 2009.
    • Dauwels J., Vialatte F., Weber T., Cichocki A. Analyzing Brain Signals by Combinatorial Optimization. Proceedings of the 46th Annual Allerton Conference, September 23-26, 2008, University of Illinois at Urbana-Champaign, IL, USA.
    • Vialatte F., Cichocki A., Dreyfus G., Musha T., Shishkin S.L., Gervais R. Early Detection of Alzheimer’s Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals. International Conference on Artificial Neural Networks 2005, Warsaw, Poland, September 11-15 2005. LNCS 3696:683-692.

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