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Manuel Samuelides - Publications

Affiliations: 
DTIM CERT - ONERA, Toulouse, Occitanie, France 
Website:
http://personnel.supaero.fr/samuelides-manuel/

35 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2013 Samuelides M. Response Surface Methodology and Reduced Order Models Multidisciplinary Design Optimization in Computational Mechanics. 17-64. DOI: 10.1002/9781118600153.ch2  0.48
2012 Hervé A, Sipp D, Schmid PJ, Samuelides M. A physics-based approach to flow control using system identification Journal of Fluid Mechanics. 702: 26-58. DOI: 10.1017/jfm.2012.112  0.48
2011 Bettebghor D, Bartoli N, Grihon S, Morlier J, Samuelides M. Surrogate modeling approximation using a mixture of experts based on em joint estimation Structural and Multidisciplinary Optimization. 43: 243-259. DOI: 10.1007/s00158-010-0554-2  0.48
2011 Hervé A, Sipp D, Schmid PJ, Samuelides M. Optimal control of amplifier flows using system identification 6th Aiaa Theoretical Fluid Mechanics Conference 0.48
2008 Merval A, Samuelides M, Grihon S. Lagrange-Kuhn-Tucker coordination for multilevel optimization of aeronautical structures Collection of Technical Papers - Aiaa/Asme/Asce/Ahs/Asc Structures, Structural Dynamics and Materials Conference 0.48
2007 Faugeras O, Frégnac Y, Samuelides M. A future for systems and computational neuroscience in France? Journal of Physiology, Paris. 101: 1-8. PMID 18068610 DOI: 10.1016/j.jphysparis.2007.10.012  0.48
2007 Samuelides M, Cessac B. Random recurrent neural networks dynamics European Physical Journal: Special Topics. 142: 89-122. DOI: 10.1140/epjst/e2007-00059-1  0.48
2007 Cessac B, Samuelides M. From neuron to neural networks dynamics European Physical Journal: Special Topics. 142: 7-88. DOI: 10.1140/epjst/e2007-00058-2  0.48
2007 Cessac B, Daucé E, Perrinet L, Samuelides M. Introduction European Physical Journal: Special Topics. 142: 1-5. DOI: 10.1140/epjst/e2007-00057-3  0.48
2006 Merval A, Samuelides M, Grihon S. Application of response surface methodology to stiffened panel optimization Collection of Technical Papers - Aiaa/Asme/Asce/Ahs/Asc Structures, Structural Dynamics and Materials Conference. 4: 2686-2696.  0.48
2006 Cornez L, Samuelides M, Muller JD. Neuro-fuzzy inference system to learn expert decision: Between performance and intelligibility Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3614: 1281-1293.  0.48
2005 Zenou E, Samuelides M. Characterizing image sets using formal concept analysis Eurasip Journal On Applied Signal Processing. 2005: 1931-1938. DOI: 10.1155/ASP.2005.1931  0.48
2005 Samuelides M. Closed-loop control learning Neural Networks: Methodology and Applications. 289-327. DOI: 10.1007/3-540-28847-3_5  0.48
2005 Samuelides M. Neural identification of controlled dynamical systems and recurrent networks Neural Networks: Methodology and Applications. 231-287. DOI: 10.1007/3-540-28847-3_4  0.48
2004 Perrinet L, Samuelides M, Thorpe S. Coding static natural images using spiking event times: do neurons cooperate? Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 1164-75. PMID 15484892 DOI: 10.1109/TNN.2004.833303  0.48
2004 Perrinet L, Samuelides M, Thorpe S. Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit Neurocomputing. 57: 125-134. DOI: 10.1016/j.neucom.2004.01.010  0.48
2004 Zenou E, Samuelides M. Galois lattice theory for probabilistic visual landmarks Journal of Universal Computer Science. 10: 1014-1033.  0.48
2004 Samuelides M, Zenou E. Learning-based visual localization using formal concept lattices Machine Learning For Signal Processing Xiv - Proceedings of the 2004 Ieee Signal Processing Society Workshop. 43-52.  0.48
2003 Dutech A, Samuelides M. Reinforcement learning for the partially observed Markov decision processes: To learn a selective extension of the past | Apprentissage par renforcement pour les processus décisionnels de Markov partiellement observés: Apprendre une extension sélective du passé Revue D'Intelligence Artificielle. 17: 559-589.  0.48
2002 Perrinet L, Samuelides M. Coherence detection in a spiking neuron via Hebbian learning Neurocomputing. 44: 133-139. DOI: 10.1016/S0925-2312(02)00374-0  0.48
2002 Moynot O, Samuelides M. Large deviations and mean-field theory for asymmetric random recurrent neural networks Probability Theory and Related Fields. 123: 41-75. DOI: 10.1007/s004400100182  0.48
2001 Dauce E, Moynot O, Pinaud O, Samuelides M. Mean-field theory and synchronization in random recurrent neural networks Neural Processing Letters. 14: 115-126. DOI: 10.1023/A:1012435207437  0.48
2001 Perrinet L, Delorme A, Samuelides M, Thorpe SJ. Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity Neurocomputing. 38: 817-822. DOI: 10.1016/S0925-2312(01)00460-X  0.48
1999 Vaccaro J, Gourion D, Samuelides M, Thorpe S. Rank-based Hebbian learning in a multi-layered neural network Proceedings of Spie - the International Society For Optical Engineering. 3728: 301-315.  0.48
1998 Samuelides M, Doyon B, Cessac B, Quoy M, Dauce E. Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning. Neural Networks : the Official Journal of the International Neural Network Society. 11: 521-533. PMID 12662827 DOI: 10.1016/S0893-6080(97)00131-7  0.48
1998 Rebourg JL, Muller JD, Samuelides M. SPIKE_4096: A neural integrated circuit for image segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1478: 287-294. DOI: 10.1007/BFb0057630  0.48
1997 Samuelides M, Thorpe S, Veneau E. Implementing Hebbian learning in a rank-based neural network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 146-150.  0.48
1996 Tarr GL, Carreras RA, DeHainaut CR, Clastres X, Freyss L, Samuelides M. Intelligent sensors research using pulse-coupled neural networks for focal plane image processing Proceedings of Spie - the International Society For Optical Engineering. 2760: 534-542.  0.48
1995 Doyon B, Cessac B, Quoy M, Samuelides M. Mean-field equations, bifurcation map and chaos in discrete time, continuous state, random neural networks. Acta Biotheoretica. 43: 169-75. PMID 7709685 DOI: 10.1007/BF00709441  0.48
1995 Tarr GL, Carreras RA, Fender JS, Clastres X, Freyss L, Samuelides M. Temporal encoding of multispectral satellite imagery for segmentation using pulsed coupled neural networks Proceedings of Spie - the International Society For Optical Engineering. 2579: 352-359.  0.48
1994 Cessac B, Doyon B, Quoy M, Samuelides M. Mean-field equations, bifurcation map and route to chaos in discrete time neural networks Physica D: Nonlinear Phenomena. 74: 24-44. DOI: 10.1016/0167-2789(94)90024-8  0.48
1994 Doyon B, Cessac B, Quoy M, Samuelides M. On bifurcations and chaos in random neural networks Acta Biotheoretica. 42: 215-225. DOI: 10.1007/BF00709492  0.48
1992 Benaim M, Samuelides M. A rigorous result about the off-line learning approximation Proceedings. Ijcnn - International Joint Conference On Neural Networks. 979.  0.48
1990 Benaim M, Samuelides M. Dynamical properties of neural nets using competitive activation mechanisms Ijcnn. International Joint Conference On Neural Networks. 541-546.  0.48
1989 Bourret P, Goodall S, Samuelides M. Optimal scheduling by competitive activation: Application to the satellite antennae scheduling problem . 565-572.  0.48
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