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Conferences in DBLP

(esann)
2006 (conf/esann/2006)

  1. Jochen J. Steil, Risto Koiva, Alessandro Sperduti
    Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:1-6 [Conf]
  2. Barbara Hammer, Alexander Hasenfuss, Thomas Villmann
    Magnification control for batch neural gas. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:7-12 [Conf]
  3. Lili Zhang, Erzsébet Merényi
    Weighted differential topographic function: a refinement of topographic function. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:13-18 [Conf]
  4. David Meunier, Hélène Paugam-Moisy
    Cluster detection algorithm in neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:19-24 [Conf]
  5. Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato
    Enhanced maxcut clustering with multivalued neural networks and functional annealing. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:25-30 [Conf]
  6. Martin Bogdan, Michael Bensch
    Artificial neural networks and machine learning for man-machine-interfaces - processing of nervous signals. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:31-40 [Conf]
  7. Benjamin Schrauwen, Jan M. Van Campenhout
    Linking non-binned spike train kernels to several existing spike train metrics. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:41-46 [Conf]
  8. Ulrich Hoffmann, Jean-Marc Vesin, Touradj Ebrahimi
    Spatial filters for the classification of event-related potentials. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:47-52 [Conf]
  9. Klaus Pawelzik, Udo A. Ernst, David Rotermund
    On-line adaptation of neuro-prostheses with neuronal evaluation signals. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:53-58 [Conf]
  10. Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken Sharman
    Using distributed genetic programming to evolve classifiers for a brain computer interface. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:59-66 [Conf]
  11. Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Chiara Mocenni, Augusto Pucci
    A Cyclostationary Neural Network model for the prediction of the NO2 concentration. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:67-72 [Conf]
  12. Alessio Plebe
    Learning Visual Invariance. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:73-76 [Conf]
  13. Jochen J. Steil, Heiko Wersing
    Recent trends in online learning for cognitive robots. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:77-87 [Conf]
  14. Nicolas Gomond, Jean Marc Salotti
    Extended model of conditioned learning within latent inhibition. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:88-94 [Conf]
  15. Francisco Bellas, José Antonio Becerra, Richard J. Duro
    Construction of a memory management system in an on-line learning mechanism. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:95-100 [Conf]
  16. Michael Götting, Jochen J. Steil, Heiko Wersing, Edgar Körner, Helge Ritter
    Adaptive scene-dependent filters in online learning environments. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:101-106 [Conf]
  17. Victor Uc Cetina
    A multiagent architecture for concurrent reinforcement learning. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:107-112 [Conf]
  18. Francisco Bellas, José Antonio Becerra, Richard J. Duro
    Some experimental results with a two level memory management system in the multilevel darwinist brain. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:113-118 [Conf]
  19. Ralf Eickhoff, Joaquin Sitte, Ulrich Rückert
    Robust Local Cluster Neural Networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:119-124 [Conf]
  20. Kevin Doherty, Rod Adams, Neil Davey
    Topological Correlation. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:125-130 [Conf]
  21. Mario Nöcker, Fabian Mörchen, Alfred Ultsch
    An algorithm for fast and reliable ESOM learning. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:131-136 [Conf]
  22. Elia Liitiäinen, Nima Reyhani, Amaury Lendasse
    EM-algorithm for training of state-space models with application to time series prediction. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:137-142 [Conf]
  23. Antti Sorjamaa, Amaury Lendasse
    Time series prediction using DirRec strategy. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:143-148 [Conf]
  24. Joseph Rynkiewicz
    Consistent estimation of the architecture of multilayer perceptrons. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:149-154 [Conf]
  25. Yuehui Chen, Bo Yang, Ajith Abraham
    Optimal design of hierarchical wavelet networks for time-series forecasting. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:155-160 [Conf]
  26. Rebecca Steinert, Martin Rehn, Anders Lansner
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:161-166 [Conf]
  27. Jens Teichert, Rainer Malaka
    Iterative context compilation for visual object recognition. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:167-172 [Conf]
  28. Bernard Girau, Cesar Torres-Huitzil
    FPGA implementation of an integrate-and-fire LEGION model for image segmentation. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:173-178 [Conf]
  29. Alexander Gepperth
    Visual object classification by sparse convolutional neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:179-184 [Conf]
  30. Alexandre Aussem, Pierre Chainais
    Modelling switching dynamics using prediction experts operating on distinct wavelet scales. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:185-190 [Conf]
  31. Sylvain Gelly, Jérémie Mary, Olivier Teytaud
    Learning for stochastic dynamic programming. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:191-196 [Conf]
  32. Tong Boon Tang, Alan F. Murray
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM). [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:197-202 [Conf]
  33. Mauricio Kugler, Toshiyuki Miyatani, Susumu Kuroyanagi, Anto Satriyo Nugroho, Akira Iwata
    Non-linear gating network for the large scale classification model CombNET-II. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:203-208 [Conf]
  34. Sylvain Chevallier, Philippe Tarroux, Hélène Paugam-Moisy
    Saliency extraction with a distributed spiking neural network. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:209-214 [Conf]
  35. Andreas Herzog, Karsten Kube, Bernd Michaelis, Anna D. de Lima, Thomas B. Voigt
    Connection strategies in neocortical networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:215-220 [Conf]
  36. Long Han, Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel, Alexander Ross
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:221-226 [Conf]
  37. Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen
    Determination of the Mahalanobis matrix using nonparametric noise estimations. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:227-232 [Conf]
  38. Felipe Alonso Atienza, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Alfredo Rosado Muñoz, Arcadio García-Alberola
    Bootstrap feature selection in support vector machines for ventricular fibrillation detection. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:233-238 [Conf]
  39. Damien François, Vincent Wertz, Michel Verleysen
    The permutation test for feature selection by mutual information. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:239-244 [Conf]
  40. Colin Fyfe, Gayle Leen
    Stochastic Processes for Canonical Correlation Analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:245-250 [Conf]
  41. Fabrice Rossi
    Visual Data Mining and Machine Learning. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:251-264 [Conf]
  42. Marc Strickert, Nese Sreenivasulu, Udo Seiffert
    Sanger-driven MDSLocalize - a comparative study for genomic data. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:265-270 [Conf]
  43. Michaël Aupetit
    Visualizing the trustworthiness of a projection. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:271-276 [Conf]
  44. Kadim Tasdemir, Erzsébet Merényi
    Data topology visualization for the Self-Organizing Map. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:277-282 [Conf]
  45. Tomoharu Iwata, Kazumi Saito, Naonori Ueda
    Visual nonlinear discriminant analysis for classifier design. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:283-288 [Conf]
  46. Marian Pena, Colin Fyfe
    Outlier identification with the Harmonic Topographic Mapping. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:289-294 [Conf]
  47. Shadi Al Shehabi, Jean-Charles Lamirel
    A new hyperbolic visualization method for displaying the results of a neural gas model: application to Webometrics. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:295-300 [Conf]
  48. Massoud Babaie-Zadeh, Christian Jutten
    Semi-Blind Approaches for Source Separation and Independent component Analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:301-312 [Conf]
  49. Ali Mohammad-Djafari
    Bayesian source separation: beyond PCA and ICA. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:313-322 [Conf]
  50. Rémi Gribonval, Sylvain Lesage
    A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:323-330 [Conf]
  51. Jorge Igual, Raul Llinares, Andrés Camacho
    Source separation with priors on the power spectrum of the sources. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:331-336 [Conf]
  52. Yannick Deville, Dass Bissessur, Matthieu Puigt, Shahram Hosseini, Hervé Carfantan
    A time-scale correlation-based blind separation method applicable to correlated sources. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:337-344 [Conf]
  53. Alexander Ilin
    Independent dynamics subspace analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:345-350 [Conf]
  54. John Aldo Lee, Frédéric Vrins, Michel Verleysen
    Non-orthogonal Support Width ICA. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:351-358 [Conf]
  55. Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpour
    Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:359-364 [Conf]
  56. Maciej Pedzisz, Ali Mansour
    A simple idea to separate convolutive mixtures in an undetermined scenario. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:365-370 [Conf]
  57. Aapo Hyvärinen, Urs Köster
    FastISA: A fast fixed-point algorithm for independent subspace analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:371-376 [Conf]
  58. Dinh-Tuan Pham, Frédéric Vrins
    Discriminacy of the minimum range approach to blind separation of bounded sources. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:377-382 [Conf]
  59. Vincent Vigneron
    Entropy-based principle and generalized contingency tables. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:383-388 [Conf]
  60. Ignacio Barrio, Enrique Romero, Lluís A. Belanche Muñoz
    On the selection of hidden neurons with heuristic search strategies for approximation. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:389-394 [Conf]
  61. Geoffroy Simon, Michel Verleysen
    Lag selection for regression models using high-dimensional mutual information. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:395-400 [Conf]
  62. Terence A. Etchells, Àngela Nebot, Alfredo Vellido, Paulo J. G. Lisboa, Francisco Mugica
    Learning what is important: feature selection and rule extraction in a virtual course. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:401-406 [Conf]
  63. Tomasz Markiewicz, Stanislaw Osowski
    Data mining techniques for feature selection in blood cell recognition. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:407-412 [Conf]
  64. Gayle Leen, Colin Fyfe
    A Gaussian process latent variable model formulation of canonical correlation analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:413-418 [Conf]
  65. Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
    Designing neural network committees by combining boosting ensembles. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:419-424 [Conf]
  66. Aloísio Carlos de Pina, Gerson Zaverucha
    Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:425-430 [Conf]
  67. Pete Duell, Iris Fermin, Xin Yao
    Diversity creation in local search for the evolution of neural network ensembles. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:431-436 [Conf]
  68. Nicolás García-Pedrajas, Colin Fyfe
    Immune Network based Ensembles. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:437-442 [Conf]
  69. Rafael del Castillo Gomariz, Nicolás García-Pedrajas
    Classification by means of Evolutionary Response Surfaces. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:443-448 [Conf]
  70. Mikko Multanen, Kimmo Raivio, Pasi Lehtimäki
    Hierarchical analysis of GSM network performance data. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:449-454 [Conf]
  71. Antoine Mahul, Alexandre Aussem
    Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:455-460 [Conf]
  72. Leena N. Patel, Alan F. Murray, John Hallam
    Evolving multi-segment 'super-lamprey' CPG's for increased swimming control. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:461-466 [Conf]
  73. Nicholas Butko, Jochen Triesch
    Exploring the role of intrinsic plasticity for the learning of sensory representations. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:467-472 [Conf]
  74. Tuomas Kärnä, Fabrice Rossi, Amaury Lendasse
    LS-SVM functional network for time series prediction. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:473-478 [Conf]
  75. Sándor Szedmák, John Shawe-Taylor
    Synthesis of maximum margin and multiview learning using unlabeled data. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:479-484 [Conf]
  76. Ping Sun, Xin Yao
    Efficient Forward Regression with Marginal Likelihood. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:485-490 [Conf]
  77. Tjeerd Olde Scheper, Nigel Crook
    Nonlinear dynamics in neural computation. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:491-502 [Conf]
  78. Carlos Lourenço
    Dynamical reservoir properties as network effects. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:503-508 [Conf]
  79. Nigel Crook
    Nonlinear transient computation and variable noise tolerance. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:509-514 [Conf]
  80. Roberta Alessio, Laura Cozzi, Vittorio Sanguineti
    Cultures of dissociated neurons display a variety of avalanche behaviours. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:515-520 [Conf]
  81. Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann
    Neural networks and machine learning in bioinformatics - theory and applications. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:521-532 [Conf]
  82. Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
    Using sampling methods to improve binding site predictions. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:533-538 [Conf]
  83. Frank-Michael Schleif, Barbara Hammer, Thomas Villmann
    Margin based Active Learning for LVQ Networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:539-544 [Conf]
  84. Michael Biehl, Piter Pasma, Marten Pijl, Lidia Sánchez, Nicolai Petkov
    Classification of Boar Sperm Head Images using Learning Vector Quantization. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:545-550 [Conf]
  85. Oleg Okun, Nikolay G. Zagoruiko, Alexessander Alves, Olga Kutnenko, Irina V. Borisova
    Selection of more than one gene at a time for cancer prediction from gene expression data. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:551-556 [Conf]
  86. Jarkko Venna, Samuel Kaski
    Visualizing gene interaction graphs with local multidimensional scaling. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:557-562 [Conf]
  87. Cornelia Brüß, Felix Bollenbeck, Frank-Michael Schleif, Winfriede Weschke, Thomas Villmann, Udo Seiffert
    Fuzzy image segmentation with Fuzzy Labelled Neural Gas. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:563-568 [Conf]
  88. Minh Quach, Pierre Geurts
    Elucidating the structure of genetic regulatory networks: a study of a second order dynamical model on artificial data. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:569-574 [Conf]
  89. Daniel Schneegaß, Thomas Martinetz, Michael Clausohm
    OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:575-580 [Conf]
  90. Stefan Klanke, Helge Ritter
    Variants of Unsupervised Kernel Regression: General cost functions. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:581-586 [Conf]
  91. Tobias Glasmachers
    Degeneracy in model selection for SVMs with radial Gaussian kernel. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:587-592 [Conf]
  92. Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez
    Evolino for recurrent support vector machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:593-598 [Conf]
  93. Artur Ferreira, Mário A. T. Figueiredo
    Hybrid generative/discriminative training of radial basis function networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:599-604 [Conf]
  94. Juan José Rodríguez, Jesús Maudes, Carlos J. Alonso
    Rotation-based ensembles of RBF networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:605-610 [Conf]
  95. Anthony Mouraud, Hélène Paugam-Moisy
    Learning and discrimination through STDP in a top-down modulated associative memory. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:611-616 [Conf]
  96. Lee Calcraft, Rod Adams, Neil Davey
    Gaussian and exponential architectures in small-world associative memories. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:617-622 [Conf]
  97. Benjamin Schrauwen, Jan M. Van Campenhout
    Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:623-628 [Conf]
  98. Filip Ponulak, Andrzej J. Kasinski
    Generalization properties of spiking neurons trained with ReSuMe method. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:629-634 [Conf]
  99. Marek Barwinski, Rolf P. Würtz
    A sequence-encoding neural network for face recognition. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:635-640 [Conf]
  100. Usman Khan, Abdelaziz Terchi, Sungwoo Lim, David Wright, Sheng Feng Qin
    Freeform surface induction from projected planar curves via neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:641-646 [Conf]
  101. Andreea Lazar, Gordon Pipa, Jochen Triesch
    The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:647-652 [Conf]
  102. Thomas Gabel, Martin Riedmiller
    Reducing policy degradation in neuro-dynamic programming. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:653-658 [Conf]
  103. Zahra Hamou Mamar, Pierre Chainais, Alexandre Aussem
    Probabilistic classifiers and time-scale representations: application to the monitoring of a tramway guiding system. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:659-664 [Conf]
  104. Frédéric Ratle, Anne-Laure Terrettaz, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux
    Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:665-670 [Conf]
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