ESANN 2009: Bruges, Belgium

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, Gael 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 J. 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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