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ORCIDESANN 2009: Bruges, Belgium
- 17th European Symposium on Artificial Neural Networks, ESANN 2009, Bruges, Belgium, April 22-24, 2009, Proceedings. 2009
Semi-supervised learning
- Tijl De Bie, Thiago Turchetti Maia, Antônio de Pádua Braga:
Machine Learning with Labeled and Unlabeled Data. - Peng Li, Yiming Ying, Colin Campbell:
A Variational Approach to Semi-Supervised Clustering. - Tuong-Vinh Truong, Massih-Reza Amini, Patrick Gallinari:
A self-training method for learning to rank with unlabeled data. - Kristiaan Pelckmans, Johan A. K. Suykens:
Transductively Learning from Positive Examples Only. - Charles Bouveyron, Stéphane Girard, Madalina Olteanu:
Supervised classification of categorical data with uncertain labels for DNA barcoding. - David Tomás, Claudio Giuliano:
A semi-supervised approach to question classification. - Ruy Luiz Milidiú, Julio Cesar Duarte:
Improving BAS committee performance with a semi-supervised approach. - Liva Ralaivola:
Semi-supervised bipartite ranking with the normalized Rayleigh coefficient. - Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux:
Partially-supervised learning in Independent Factor Analysis.
Dimensionality reduction
- Axel Wismüller:
The Exploration Machine - a novel method for structure-preserving dimensionality reduction. - Kerstin Bunte, Barbara Hammer, Petra Schneider, Michael Biehl:
Nonlinear Discriminative Data Visualization. - Sebastian Bitzer, Stefan Klanke, Sethu Vijayakumar:
Does dimensionality reduction improve the quality of motion interpolation? - Jaakko Luttinen, Alexander Ilin, Tapani Raiko:
Transformations for variational factor analysis to speed up learning. - Paul Merlin, Antti Sorjamaa, Bertrand Maillet, Amaury Lendasse:
X-SOM and L-SOM: a nested approach for missing value imputation.
Signal and image processing
- Ladan Amini, Sophie Achard, Christian Jutten, Hamid Soltanian-Zadeh, Gholam-Ali Hossein-Zadeh, Olivier David, Laurent Vercueil:
Sparse differential connectivity graph of scalp EEG for epileptic patients. - Arnaud de Decker, John Aldo Lee, Michel Verleysen:
Patch-based bilateral filter and local m-smoother for image denoising. - John Aldo Lee, Arnaud de Decker, Michel Verleysen:
Adaptive anisotropic denoising: a bootstrapped procedure.
Learning (with) preferences
- Fabio Aiolli, Alessandro Sperduti:
Supervised learning as preference optimization. - Eneldo Loza Mencía, Sang-Hyeun Park, Johannes Fürnkranz:
Efficient voting prediction for pairwise multilabel classification. - Adriana Birlutiu, Perry Groot, Tom Heskes:
Multi-task Preference learning with Gaussian Processes.
Learning I
- Kerstin Bunte, Michael Biehl, Nicolai Petkov, Marcel F. Jonkman:
Adaptive Metrics for Content Based Image Retrieval in Dermatology. - Xueru Zhang, Alexander Ypma, Bert de Vries:
Bayesian periodogram smoothing for speech enhancement. - Benoît Frénay, Gaël de Lannoy, Michel Verleysen:
Improving the transition modelling in hidden Markov models for ECG segmentation. - Felipe Gerhard, Cristina Savin, Jochen Triesch:
A robust biologically plausible implementation of ICA-like learning. - Vitaliy Kolodyazhniy:
Spline-based neuro-fuzzy Kolmogorov's network for time series prediction. - Matthieu Sainlez, Pierre-Antoine Absil, Andrew E. Teschendorff:
Gene expression data analysis using spatiotemporal blind source separation. - Christophe Boucher, Patrick Kouontchou, Bertrand Maillet, Raymond Hélène:
A wavelet-heterogeneous index of market shocks for assessing the magnitude of financial crises. - Christophe Boucher, Bertrand Maillet, Paul Merlin:
A robust hybrid DHMM-MLP modelling of financial crises measured by the WhIMS. - Yoan Miche, Amaury Lendasse:
A faster model selection criterion for OP-ELM and OP-KNN: Hannan-Quinn criterion. - Jorge López Lázaro, José R. Dorronsoro:
Rosen's projection method for SVM training. - Guillaume Chaslot, Jean-Baptiste Hoock, Fabien Teytaud, Olivier Teytaud:
On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers. - Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard:
Support vectors machines regression for estimation of mars surface physical properties. - Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre:
Self-organising map for large scale processes monitoring. - René Meier, Lars Frank Große, Franz Joos:
The Use of ANN for Turbo Engine Applications.
Efficient learning in recurrent networks
- Barbara Hammer, Benjamin Schrauwen, Jochen J. Steil:
Recent advances in efficient learning of recurrent networks. - Joschka Boedecker, Oliver Obst, Norbert Michael Mayer, Minoru Asada:
Studies on reservoir initialization and dynamics shaping in echo state networks. - Xavier Dutoit, Benjamin Schrauwen, Hendrik Van Brussel:
Non-markovian process modelling with Echo State Networks. - Claudius Gros, Gregor Kaczor:
Stimulus processing and unsupervised learning in autonomously active recurrent networks. - Mark J. Embrechts, Luís A. Alexandre, Jonathan D. Linton:
Reservoir computing for static pattern recognition. - Raymond H. Cuijpers, Floran Stuijt, Ida G. Sprinkhuizen-Kuyper:
Generalisation of action sequences in RNNPB networks with mirror properties. - René Felix Reinhart, Jochen J. Steil:
Attractor-based computation with reservoirs for online learning of inverse kinematics.
Classification and fuzzy logic
- Catherine Krier, Damien François, Fabrice Rossi, Michel Verleysen:
Supervised variable clustering for classification of NIR spectra. - Dietlind Zühlke, Tina Geweniger, Ulrich Heimann, Thomas Villmann:
Fuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers. - Rafal Dlugosz, Witold Pedrycz:
Lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. - Bernard Hugueney, Georges Hébrail, Yves Lechevallier, Fabrice Rossi:
Simultaneous Clustering and Segmentation for Functional Data.
Neurosciences
- Jean-Baptiste Passot, Laure Rondi-Reig, Angelo Arleo:
Cerebellum and spatial cognition: A connectionist approach. - Agostino Gibaldi, Manuela Chessa, Andrea Canessa, Silvio P. Sabatini, Fabio Solari:
A neural model for binocular vergence control without explicit calculation of disparity.
Weightless neural systems
- Igor Aleksander, Massimo De Gregorio, Felipe Maia Galvão França, Priscila Machado Vieira Lima, Helen Morton:
A brief introduction to Weightless Neural Systems. - Igor Aleksander, Helen Morton:
Phenomenal weightless machines. - Bruno P. A. Grieco, Priscila Machado Vieira Lima, Massimo De Gregorio, Felipe Maia Galvão França:
Extracting fuzzy rules from "mental" images generated by a modified WISARD perceptron. - Pierre Lorrentz, Gareth Howells, Klaus D. McDonald-Maier:
FPGA-based enhanced probabilistic convergent weightless Network for human Iris recognition. - Konstantinos Sirlantzis, Gareth Howells, Bogdan Gherman:
Novel Modular Weightless Neural Architectures for Biometrics-based Recognition. - Wilson Rosa de Oliveira:
Quantum RAM Based Neural Netoworks.
Learning II
- Mizuki Tsuta, Gamal El Masry, Takehiro Sugiyama, Kaori Fujita, Junichi Sugiyama:
Comparison between linear discrimination analysis and support vector machine for detection of pesticide on spinach leaf by hyperspectral imaging with excitation-emission matrix. - Francisco Javier Ruiz, Núria Agell, Cecilio Angulo:
SVM-based learning method for improving colour adjustment in automotive basecoat manufacturing. - Tomasz Markiewicz, Stanislaw Osowski, Cezary Jochymski, Joanna Narbutt, Wojciech Kozlowski:
Application of SVM for cell recognition in BCC skin pathology. - Hyunggi Cho, DaeEun Kim:
A neural network model of landmark recognition in the fiddler crab, Uca lactea. - Charles Bouveyron, Camille Brunet, Vincent Vigneron:
Classification of high-dimensional data for cervical cancer detection. - Kazuki Iwamura, Shigeo Abe:
Sparse support vector machines by kernel discriminant analysis. - Cédric Simon, Christophe De Vleeschouwer, Jérôme Meessen:
Embedding Proximal Support Vectors into Randomized Trees. - Friedhelm Schwenker, Amr Labib:
Echo State networks and Neural network Ensembles to predict Sunspots activity. - Alexey Minin, Bernhard Lang:
Monotonic Recurrent Bounded Derivative Neural Network. - Matthew D. Zeiler, Graham W. Taylor, Nikolaus F. Troje, Geoffrey E. Hinton:
Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine. - Lee Calcraft, Rod Adams, Neil Davey:
Connection strategy and performance in sparsely connected 2D associative memory models with non-random images. - Thomas Burwick:
Zero phase-lag synchronization through short-term modulations. - Michael Gutmann, Aapo Hyvärinen:
Learning reconstruction and prediction of natural stimuli by a population of spiking neurons.
Brain Computer Interfaces: from theory to practice
- Dieter Devlaminck, Bart Wyns, Luc Boullart, Patrick Santens, Georges Otte:
Brain-Computer Interfaces: from theory to practice. - Wim van Drongelen, Hyong Lee, Amber Martell, Jennifer Dwyer, Rick Stevens, Mark Hereld:
Oscillation in a network model of neocortex. - Bertrand Rivet, Antoine Souloumiac, Guillaume Gibert, Virginie Attina, Olivier Bertrand:
Sensors selection for P300 speller brain computer interface. - Rolando Grave de Peralta Menendez, Jorge Dias, José Augusto Prado, Hadi Aliakbarpour, Sara González Andino:
Multiclass brain computer interface based on visual attention. - Christoph Guger, Clemens Holzner, Christoph Groenegress, Günter Edlinger, Mel Slater:
Brain Computer Interface for Virtual Reality Control. - Minoru Nakayama, Hiroshi Abe:
The Possibility of Single-trial Classification of Viewed Characters using EEG Waveforms. - Ali Bahramisharif, Marcel van Gerven, Tom Heskes:
Exploring the impact of alternative feature representations on BCI classification. - Cédric Gouy-Pailler, Jérémie Mattout, Marco Congedo, Christian Jutten:
Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics. - Nanying Liang, Laurent Bougrain:
Decoding finger flexion using amplitude modulation from band-specific ECoG. - Hubert Cecotti, Axel Graeser:
Neural network pruning for feature selection - Application to a P300 Brain-Computer Interface. - Eric Demeester, Alexander Hüntemann, José del R. Millán, Hendrik Van Brussel:
Augmenting Information from Brain-Computer Interfaces through Bayesian Plan Recognition.
Generative and bayesian models
- Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte:
Heterogeneous mixture-of-experts for fusion of locally valid knowledge-based submodels. - Botond Bocsi, Lehel Csató:
Dirichlet process-based component detection in state-space models. - Michail D. Vrettas, Dan Cornford, Yuan Shen:
A variational radial basis function approximation for diffusion processes. - Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for signal parametrization.
Neural maps and learning vector quantization - theory and applications
- Frank-Michael Schleif
, Thomas Villmann:
Neural Maps and Learning Vector Quantization - Theory and Applications. - Petra Schneider, Michael Biehl, Barbara Hammer:
Hyperparameter Learning in Robust Soft LVQ. - Tina Geweniger, Dietlind Zühlke, Barbara Hammer, Thomas Villmann:
Median Variant of Fuzzy c-Means. - Fabrice Rossi, Nathalie Villa:
Topologically Ordered Graph Clustering via Deterministic Annealing. - Aree Witoelar, Michael Biehl, Barbara Hammer:
Equilibrium properties of off-line LVQ. - Matthieu Geist, Olivier Pietquin, Gabriel Fricout:
Kernelizing Vector Quantization Algorithms. - Axel Wismüller:
A computational framework for exploratory data analysis.
Learning III
- Miki Sirola, Jaakko Talonen, Golan Lampi:
SOM based methods in early fault detection of nuclear industry. - Markus Hagenbuchner, Shujia Zhang, Ah Chung Tsoi, Alessandro Sperduti:
Projection of undirected and non-positional graphs using Self Organizing Maps. - Marta Kolasa, Rafal Dlugosz:
Hardware Implementation Issues of the Neighborhood Mechanism in Kohonen Self Organized Feature Maps. - Lucian Alecu, Hervé Frezza-Buet:
Reconciling neural fields to self-organization. - Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas:
Applying Mutual Information for Prototype or Instance Selection in Regression Problems. - Erik Schaffernicht, Christoph Möller, Klaus Debes, Horst-Michael Gross:
Forward feature selection using Residual Mutual Information. - Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy:
Gaussian Mixture Models for multiclass problems with performance constraints. - Johannes Partzsch, René Schüffny:
On the routing complexity of neural network models - Rent's Rule revisited.
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