Abstract is missing.
- Complex Valued Artificial Recurrent Neural Network as a Novel Approach to Model the Perceptual Binding ProblemAlexey Minin, Alois Knoll, Hans-Georg Zimmermann. [doi]
- Learning visuo-motor coordination for pointing without depth calculationAnanda Freire, Andre Lemme, Jochen J. Steil, Guilherme Barreto. [doi]
- Deconvolution in nonparametric statisticsKris De Brabanter, Bart De Moor. [doi]
- Posterior regularization and attribute assessment of under-determined linear mappingsMarc Strickert, Michael Seifert. [doi]
- On the Independence of the Individual Predictions in Parallel Randomized EnsemblesDaniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez. [doi]
- modularity-based clustering for network-constrained trajectoriesMohamed Khalil El Mahrsi, Fabrice Rossi. [doi]
- Unmixing Hyperspectral Images with Fuzzy Supervised Self-Organizing MapsThomas Villmann, Erzsébet Merényi, William H. Farrand. [doi]
- How regular is neuronal activity?Lubomir Kostal, Petr Lánský, Ondrej Pokora. [doi]
- Highly efficient localisation utilising weightless neural systemsBen McElroy, Michael Gillham, Gareth Howells, Sarah Spurgeon, Stephen Kelly, John Batchelor, Matthew Pepper. [doi]
- The error-related potential and BCIsSandra Rousseau, Christian Jutten, Marco Congedo. [doi]
- Regularized Committee of Extreme Learning Machine for Regression ProblemsPablo Escandell-Montero, José María Martínez-Martínez, Emilio Soria-Olivas, Josep Guimerá-Tomás, Marcelino Martínez-Sober, Antonio J. Serrano-López. [doi]
- Making machine learning models interpretableAlfredo Vellido, José David Martín-Guerrero, Paulo J. G. Lisboa. [doi]
- Structural Risk Minimization and Rademacher Complexity for RegressionDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. [doi]
- Curves clustering with approximation of the density of functional random variablesJulien Jacques, Cristian Preda. [doi]
- Classifying Scotch Whisky from near-infrared Raman spectra with a Radial Basis Function Network with Relevance LearningAndreas Backhaus, Praveen Cheriyan Ashok, Bavishna Balagopal Praveen, Kishan Dholakia, Udo Seiffert. [doi]
- The stability of feature selection and class prediction from ensemble tree classifiersJérôme Paul, Michel Verleysen, Pierre Dupont. [doi]
- Effects of noise-reduction on neural function approximationFrank-Florian Steege, Volker Stephan, Horst-Michael Groß. [doi]
- A GPU-accelerated algorithm for self-organizing maps in a distributed environmentPeter Wittek, Sándor Darányi. [doi]
- enhanced emotion recognition by feature selection to animate a talking headHela Daassi-Gnaba, Yacine Oussar. [doi]
- Theory of Input Driven Dynamical SystemsManjunath Gandhi, Peter Tiño, Herbert Jaeger. [doi]
- Range-based non-orthogonal ICA using cross-entropy methodSuviseshamuthu Easter Selvan, Amit Chattopadhyay, Umberto Amato, Pierre-Antoine Absil. [doi]
- extended visualization method for classification treesJosé María Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, José David Martín-Guerrero, Juan Gómez-Sanchís, Joan Vila-Francés. [doi]
- Application of Dynamic Time Warping on Kalman Filtering Framework for Abnormal ECG FilteringMohammad Niknazar, Bertrand Rivet, Christian Jutten. [doi]
- Adaptive learning for complex-valued dataKerstin Bunte, Frank-Michael Schleif, Michael Biehl. [doi]
- Sparse Nonparametric Topic Model for Transfer LearningAli Faisal, Jussi Gillberg, Jaakko Peltonen, Gayle Leen, Samuel Kaski. [doi]
- Constructive Reservoir Computation with Output Feedbacks for Structured DomainsClaudio Gallicchio, Alessio Micheli, Giulio Visco. [doi]
- Fast calibration of hand movements-based interface for arm exoskeleton controlHugo Martin, Sylvain Chevallier, Eric Monacelli. [doi]
- Out-of-sample kernel extensions for nonparametric dimensionality reductionAndrej Gisbrecht, Wouter Lueks, Bassam Mokbel, Barbara Hammer. [doi]
- RNN Based Batch Mode Active Learning FrameworkGaurav Maheshwari, Vikram Pudi. [doi]
- Averaging of kernel functionsLluís Belanche, Alessandra Tosi. [doi]
- Linear kernel combination using boostingAlexis Lechervy, Philippe Henri Gosselin, Frédéric Precioso. [doi]
- Balancing of neural contributions for multi-modal hidden state associationChristian Emmerich, René Felix Reinhart, Jochen J. Steil. [doi]
- Interval coded scoring systems for survival analysisVanya Van Belle, Sabine Van Huffel, Johan A. K. Suykens, Stephen Boyd. [doi]
- gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing MapsJan Lachmair, Erzsébet Merényi, Mario Porrmann, Ulrich Rückert. [doi]
- Learning Object-Class Segmentation with Convolutional Neural NetworksHannes Schulz, Sven Behnke. [doi]
- Adaptive Optimization for Cross ValidationAlessandro Rudi, Gabriele Chiusano, Alessandro Verri. [doi]
- A Discussion on Parallelization Schemes for Stochastic Vector Quantization AlgorithmsMatthieu Durut, Benoît Patra, Fabrice Rossi. [doi]
- Implementation Issues of Kohonen Self-Organizing Map Realized on FPGARafal Dlugosz, Marta Kolasa, Michal Szulc, Witold Pedrycz, Pierre-André Farine. [doi]
- Weighted/Structured Total Least Squares problems and polynomial system solvingPhilippe Dreesen, Kim Batselier, Bart De Moor. [doi]
- Unsupervised learning of motion patternsThomas Guthier, Julian Eggert, Volker Willert. [doi]
- One-class classifier based on extreme value statisticsDavid Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos. [doi]
- Relevance learning for time series inspectionAndrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse. [doi]
- One Class SVM and Canonical Correlation Analysis increase performance in a c-VEP based Brain-Computer Interface (BCI)Martin Spüler, Wolfgang Rosenstiel, Martin Bogdan. [doi]
- texture classification based on symbolic data analysisCarlos Wilson Dantas de Almeida, Renata M. C. R. Souza, Ana Lucia B. Candeias. [doi]
- A generative model that learns Betti numbers from a data setMaxime Maillot, Michaël Aupetit, Gérard Govaert. [doi]
- Cartogram representation of the batch-SOM magnification factorAlessandra Tosi, Alfredo Vellido. [doi]
- The `K' in K-fold Cross ValidationDavide Anguita, Luca Ghelardoni, Alessandro Ghio, Luca Oneto, Sandro Ridella. [doi]
- Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensorsDorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat. [doi]
- Constructing similarity networks using the Fisher information metricHéctor Ruiz, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa. [doi]
- A discrete/rhythmic pattern generating RNNTim Waegeman, Francis Wyffels, Benjamin Schrauwen. [doi]
- Process Mining in Non-Stationary EnvironmentsPhil Weber, Peter Tiño, Behzad Bordbar. [doi]
- Distributed learning via Diffusion adaptation with application to ensemble learningZaid J. Towfic, Jianshu Chen, Ali H. Sayed. [doi]
- Short Term Memory Quantifications in Input-Driven Linear Dynamical SystemsPeter Tiño, Ali Rodan. [doi]
- From neuronal cost-based metrics towards sparse coded signals classificationAnthony Mouraud, Quentin Barthelemy, Aurélien Mayoue, Cédric Gouy-Pailler, Anthony Larue, Hélène Paugam-Moisy. [doi]
- Dissimilarity Clustering by Hierarchical Multi-Level RefinementBrieuc Conan-Guez, Fabrice Rossi. [doi]
- A hybrid CMOS/memristive nanoelectronic circuit for programming synaptic weightsArne Heittmann, Tobias G. Noll. [doi]
- On the Potential Inadequacy of Mutual Information for Feature SelectionBenoît Frénay, Gauthier Doquire, Michel Verleysen. [doi]
- Parallelization of Deep NetworksMichele De Filippo De Grazia, Ivilin Stoianov, Marco Zorzi. [doi]
- Simple reservoirs with chain topology based on a single time-delay nonlinear nodeJosé Manuel Gutiérrez, D. San-Martín, Silvia Ortin, Luis Pesquera. [doi]
- Towards biologically realistic multi-compartment neuron model emulation in analog VLSISebastian Millner, Andreas Hartel, Johannes Schemmel, Karlheinz Meier. [doi]
- Hybrid hierarchical clustering: cluster assessment via cluster validation indicesMark J. Embrechts, Jonathan D. Linton, Christopher J. Gatti. [doi]
- Discriminant functional gene groups identification with machine learning and prior knowledgeGrzegorz Zycinski, Margherita Squillario, Annalisa Barla, Tiziana Sanavia, Alessandro Verri, Barbara Di Camillo. [doi]
- Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumorsMichael Biehl, Petra Schneider, David Smith, Han Stiekema, Angela Taylor, Beverly Hughes, Cedric Shackleton, Paul Stewart, Wiebke Arlt. [doi]
- Supervised learning to tune simulated annealing for in silico protein structure predictionAlejandro Marcos Alvarez, Francis Maes, Louis Wehenkel. [doi]
- Combined scattering for rotation invariant texture analysisLaurent Sifre, Stéphane Mallat. [doi]
- Assessment of sequential Boltmann machines on a lexical processing taskAlberto Testolin, Alessandro Sperduti, Ivilin Stoianov, Marco Zorzi. [doi]
- Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural GasMarika Kästner, Wieland Hermann, Thomas Villmann. [doi]
- Functional Mixture Discriminant Analysis with hidden process regression for curve classificationFaicel Chamroukhi, Hervé Glotin, Céline Rabouy. [doi]
- BCI Signal Classification using a Riemannian-based kernelAlexandre Barachant, Stéphane Bonnet, Marco Congedo, Christian Jutten. [doi]
- An analysis of Gaussian-binary restricted Boltzmann machines for natural imagesNan Wang, Jan Melchior, Laurenz Wiskott. [doi]
- Using event-based metric for event-based neural network weight adjustmentThierry Viéville, Rodrigo Salas, Bruno Cessac. [doi]
- Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS TechnologyRafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Pierre-André Farine. [doi]
- Introducing diversity among the models of multi-label classification ensembleLena Chekina, Lior Rokach, Bracha Shapira. [doi]
- Incremental feature building and classification for image segmentationGuillaume Bernard, Michel Verleysen, John Aldo Lee. [doi]
- EMFit based Ultrasonic Phased Arrays with evolved Weights for Biomimetic Target LocalizationJan Steckel, Andre Boen, Dieter Vanderelst, Herbert Peremans. [doi]
- maximum likelihood estimation and polynomial system solvingKim Batselier, Philippe Dreesen, Bart De Moor. [doi]
- Cluster homogeneity as a semi-supervised principle for feature selection using mutual informationFrederico Coelho, Antônio de Pádua Braga, Michel Verleysen. [doi]
- An Exploration of Research Directions in Machine Ensemble Theory and ApplicationsAníbal R. Figueiras-Vidal, Lior Rokach. [doi]
- Visualizing the quality of dimensionality reductionBassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Michael Biehl, Barbara Hammer. [doi]
- Recurrent Neural State Estimation in Domains with Long-Term DependenciesSiegmund Duell, Lina Weichbrodt, Alexander Hans, Steffen Udluft. [doi]
- Robust clustering of high-dimensional dataAnastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille. [doi]
- Type 1 and 2 symmetric divergences for stochastic neighbor embeddingJohn Aldo Lee. [doi]
- Modified Conn-Index for the evaluation of fuzzy clusteringsTina Geweniger, Marika Kästner, Mandy Lange, Thomas Villmann. [doi]
- Input-Output Hidden Markov Models for treesDavide Bacciu, Alessio Micheli, Alessandro Sperduti. [doi]
- Hardware accelerated real time classification of hyperspectral imaging data for coffee sortingAndreas Backhaus, Jan Lachmair, Ulrich Rückert, Udo Seiffert. [doi]
- Parallel neural hardware: the time is rightUlrich Rückert, Erzsébet Merényi. [doi]
- intrinsic plasticity via natural gradient descentKlaus Neumann 0002, Jochen J. Steil. [doi]
- Recognition of HIV-1 subtypes and antiretroviral drug resistance using weightless neural networksCaio Souza, Flavio Nobre, Priscila M. V. Lima, Robson Silva, Rodrigo Brindeiro, Felipe M. G. França. [doi]
- Joint Regression and Linear Combination of Time Series for Optimal PredictionDries Geebelen, Kim Batselier, Philippe Dreesen, Marco Signoretto, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle. [doi]
- Recent developments in clustering algorithmsCharles Bouveyron, Barbara Hammer, Thomas Villmann. [doi]
- Hidden Markov models for time series of counts with excess zerosMadalina Olteanu, James Ridgway. [doi]
- A CUSUM approach for online change-point detection on curve sequencesNicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle. [doi]
- Similarity networks for heterogeneous dataLluís Belanche, Jerónimo Hernández. [doi]
- Automatic selection of the number of spatial filters for motor-imagery BCIYuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch. [doi]
- Automatic Group-Outlier DetectionAmine Chaibi, Hanane Azzag, Mustapha Lebbah. [doi]
- learning task relatedness via dirichlet process priors for linear regression modelsMarcel Hermkes, Nicolas Kuehn, Carsten Riggelsen. [doi]
- Real time drunkenness analysis in a realistic car simulationAudrey Robinel, Didier Puzenat. [doi]
- Quantile regression with multilayer perceptronsJoseph Rynkiewicz, Solohaja-Faniaha Dimby. [doi]
- Manifold-based non-parametric learning of action-value functionsHunor Jakab, Lehel Csató. [doi]
- The Exploration vs Exploitation Trade-Off in Bandit Problems: An Empirical StudyBernard Manderick, Saba Q. Yahyaa. [doi]
- Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithmDavid Picard, Nicolas Thome, Matthieu Cord, Alain Rakotomamonjy. [doi]
- Image reconstruction using an iterative SOM based algorithmManel Jouini, Sylvie Thiria, Michel Crépon. [doi]
- magnitude sensitive competitive learningEnrique Pelayo, J. David Buldain Pérez, Carlos Orrite. [doi]
- L1-based compression of random forest modelsArnaud Joly, François Schnitzler, Pierre Geurts, Louis Wehenkel. [doi]
- Semi-Supervised Neural Gas for Adaptive Brain-Computer InterfacesHannes Riechmann, Andrea Finke. [doi]