| 2016 | 24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016 |
| 2016 | A fast learning algorithm for high dimensional problems: an application to microarrays. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Diego Rego-Fernández, David Martínez-Rego |
| 2016 | A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases. Victor Mocioiu, Nuno Miguel Pedrosa de Barros, Sandra Ortega-Martorell, Johannes Slotboom, Urspeter Knecht, Carles Arús, Alfredo Vellido, Margarida Julià-Sapé |
| 2016 | A new penalisation term for image retrieval in clique neural networks. Romain Huet, Nicolas Courty, Sébastien Lefèvre |
| 2016 | A reservoir activation kernel for trees. Davide Bacciu, Claudio Gallicchio, Alessio Micheli |
| 2016 | A state-space model on interactive dimensionality reduction. Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Michel Verleysen |
| 2016 | Active transfer learning for activity recognition. Tom Diethe, Niall Twomey, Peter A. Flach |
| 2016 | Activity recognition with echo state networks using 3D body joints and objects category. Luiza Mici, Xavier Hinaut, Stefan Wermter |
| 2016 | Adaptive dissimilarity weighting for prototype-based classification optimizing mixtures of dissimilarities. Marika Kaden, David Nebel, Thomas Villmann |
| 2016 | Advances in Learning with Kernels: Theory and Practice in a World of growing Constraints. Luca Oneto, Nicolò Navarin, Michele Donini, Fabio Aiolli, Davide Anguita |
| 2016 | An Experiment in Pre-Emphasizing Diversified Deep Neural Classifiers. Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal |
| 2016 | An Immune-Inspired, Dependence-Based Approach to Blind Inversion of Wiener Systems. Stephanie Alvarez Fernandez, Romis Attux, Denis G. Fantinato, Jugurta Montalvão, Daniel G. Silva |
| 2016 | Assessment of diabetic retinopathy risk with random forests. Silvia Sanromà, Antonio Moreno, Aïda Valls, Pedro Romero-Aroca, Sofia de la Riva-Fernandez, Ramon Sagarra-Alamo |
| 2016 | Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery. Julien Rebetez, Héctor F. Satizábal, Matteo Mota, Dorothea Noll, Lucie Büchi, Marina Wendling, Bertrand Cannelle, Andrés Pérez-Uribe, Stéphane Burgos |
| 2016 | Auto-adaptive Laplacian Pyramids. Ángela Fernández, Neta Rabin, Dalia Fishelov, José R. Dorronsoro |
| 2016 | Automatic detection of EEG arousals. Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo |
| 2016 | Bag-of-Steps: predicting lower-limb fracture rehabilitation length. Albert Pla, Beatriz López, Cristofor Nogueira, Natalia Mordvaniuk, Taco J. Blokhuis, Herman R. Holtslag |
| 2016 | Bayesian mixture of spatial spline regressions. Faicel Chamroukhi |
| 2016 | Bayesian semi non-negative matrix factorisation. Albert Vilamala, Alfredo Vellido, Lluís A. Belanche |
| 2016 | Boosting face recognition via neural Super-Resolution. Guillaume Berger, Clément Peyrard, Moez Baccouche |
| 2016 | Challenges in Deep Learning. Plamen Angelov, Alessandro Sperduti |
| 2016 | Choosing the best algorithm for an incremental on-line learning task. Viktor Losing, Barbara Hammer, Heiko Wersing |
| 2016 | Clustering from two data sources using a kernel-based approach with weight coupling. Lynn Houthuys, Rocco Langone, Johan A. K. Suykens |
| 2016 | Comparison of Four- and Six-Layered Configurations for Deep Network Pretraining. Tommi Kärkkäinen, Jan Hänninen |
| 2016 | Comparison of three algorithms for parametric change-point detection. Cynthia Faure, Jean-Marc Bardet, Madalina Olteanu, Jérôme Lacaille |
| 2016 | Controlling adaptive quantum-phase estimation with scalable reinforcement learning. Pantita Palittapongarnpim, Peter Wittek, Barry C. Sanders |
| 2016 | Converting SVDD scores into probability estimates. Meriem El Azami, Carole Lartizien, Stéphane Canu |
| 2016 | Data complexity measures for analyzing the effect of SMOTE over microarrays. Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
| 2016 | Deep Learning Vector Quantization. Harm de Vries, Roland Memisevic, Aaron C. Courville |
| 2016 | Deep Reservoir Computing: A Critical Analysis. Claudio Gallicchio, Alessio Micheli |
| 2016 | Deep multi-task learning with evolving weights. Soufiane Belharbi, Romain Hérault, Clément Chatelain, Sébastien Adam |
| 2016 | Deep neural network analysis of go games: which stones motivate a move? Thomas Burwick, Luke Ewig |
| 2016 | Differentiable piecewise-Bézier interpolation on Riemannian manifolds. Pierre-Antoine Absil, Pierre-Yves Gousenbourger, Paul Striewski, Benedikt Wirth |
| 2016 | Discriminative dimensionality reduction in kernel space. Alexander Schulz, Barbara Hammer |
| 2016 | Distributed learning algorithm for feedforward neural networks. Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, Diego Rego-Fernández |
| 2016 | Efficient low rank approximation via alternating least squares for scalable kernel learning. Piyush Bhardwaj, Harish Karnick |
| 2016 | Enhanced learning for agents in quantum-accessible environments. Jacob M. Taylor, Hans J. Briegel, Vedran Dunjko |
| 2016 | Enhancing a social science model-building workflow with interactive visualisation. Cagatay Turkay, Aidan Slingsby, Kaisa Lahtinen, Sarah Butt, Jason Dykes |
| 2016 | Extending a two-variable mean to a multi-variable mean. Estelle M. Massart, Julien M. Hendrickx, Pierre-Antoine Absil |
| 2016 | Fast Support Vector Clustering. Tung Pham, Trung Le, Thai Hoang Le, Dat Tran |
| 2016 | Fast in-memory spectral clustering using a fixed-size approach. Rocco Langone, Raghvendra Mall, Vilen Jumutc, Johan A. K. Suykens |
| 2016 | Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics. Martin Mundt, Sebastian Blaes, Thomas Burwick |
| 2016 | Feature definition, analysis and selection for lung nodule classification in chest computerized tomography images. Luis Gonçalves, Jorge Novo, Aurélio Campilho |
| 2016 | From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors. Pekka Siirtola, Heli Koskimäki, Juha Röning |
| 2016 | Gaussian process prediction for time series of structured data. Benjamin Paassen, Christina Göpfert, Barbara Hammer |
| 2016 | Genetic Algorithm with Novel Crossover, Selection and Health Check for Clustering. Abul Hashem Beg, Md Zahidul Islam |
| 2016 | Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network. Eleni Tsironi, Pablo V. A. Barros, Stefan Wermter |
| 2016 | Grounding the experience of a visual field through sensorimotor contingencies. Alban Laflaquière, Michaël Garcia Ortiz, Ahmed Faraz Khan |
| 2016 | How machine learning won the Higgs boson challenge. Claire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau |
| 2016 | Human detection and classification of landing sites for search and rescue drones. Felipe Martins, Marc de Groot, Xeryus Stokkel, Marco A. Wiering |
| 2016 | Human-centered machine learning through interactive visualization: review and open challenges. Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Daniel Weiskopf, Stephen C. North, Daniel A. Keim |
| 2016 | Incremental hierarchical indexing and visualisation of large image collections. Frédéric Rayar, Sabine Barrat, Fatma Bouali, Gilles Venturini |
| 2016 | Incremental learning algorithms and applications. Alexander Gepperth, Barbara Hammer |
| 2016 | Information visualisation and machine learning: characteristics, convergence and perspective. Benoît Frénay, Bruno Dumas |
| 2016 | Informative data projections: a framework and two examples. Tijl De Bie, Jefrey Lijffijt, Raúl Santos-Rodríguez, Bo Kang |
| 2016 | Initialization of big data clustering using distributionally balanced folding. Joonas Hämäläinen, Tommi Kärkkäinen |
| 2016 | Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation. Nicolas Sauwen, Marjan Acou, Halandur Nagaraja Bharath, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel |
| 2016 | Instance and feature weighted k-nearest-neighbors algorithm. Gabriel Prat-Masramon, Lluís A. Belanche |
| 2016 | Interpretability of machine learning models and representations: an introduction. Adrien Bibal, Benoît Frénay |
| 2016 | K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values. Diego P. P. Mesquita, João P. P. Gomes, Leonardo Ramos Rodrigues |
| 2016 | Kernel based collaborative filtering for very large scale top-N item recommendation. Fabio Aiolli, Mirko Polato |
| 2016 | Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer |
| 2016 | Learning contextual affordances with an associative neural architecture. Francisco Cruz, German Ignacio Parisi, Stefan Wermter |
| 2016 | Learning in indefinite proximity spaces - recent trends. Frank-Michael Schleif, Peter Tiño, Yingyu Liang |
| 2016 | Learning with hard constraints as a limit case of learning with soft constraints. Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti |
| 2016 | Localized discriminative Gaussian process latent variable model for text-dependent speaker verification. Nooshin Maghsoodi, Hossein Sameti, Hossein Zeinali |
| 2016 | Machine learning for medical applications. Verónica Bolón-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurélio Campilho |
| 2016 | Maximum likelihood learning of RBMs with Gaussian visible units on the Stiefel manifold. Ryo Karakida, Masato Okada, Shun-ichi Amari |
| 2016 | Measuring the Expressivity of Graph Kernels through the Rademacher Complexity. Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita |
| 2016 | Memory management for data streams subject to concept drift. Pierre-Xavier Loeffel, Christophe Marsala, Marcin Detyniecki |
| 2016 | Modelling of parameterized processes via regression in the model space. Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil |
| 2016 | Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data. Fernando Mateo, Emilio Soria-Olivas, Marcelino Martínez-Sober, Maria Tellez-Plaza, Juan Gómez-Sanchís, Josep Redon |
| 2016 | Multi-task learning for speech recognition: an overview. Gueorgui Pironkov, Stéphane Dupont, Thierry Dutoit |
| 2016 | Multicriteria optimized MLP for imbalanced learning. Paavo Nieminen, Tommi Kärkkäinen |
| 2016 | Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks. Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke |
| 2016 | Neural fitted actor-critic. Matthieu Zimmer, Yann Boniface, Alain Dutech |
| 2016 | On the analysis of feature selection techniques in a conjunctival hyperemia grading framework. María Luisa Sánchez Brea, Noelia Barreira-Rodríguez, Noelia Sánchez-Maroño, Antonio Mosquera González, Carlos García-Resúa, Eva Yebra-Pimentel |
| 2016 | On the equivalence between algorithms for Non-negative Matrix Factorization and Latent Dirichlet Allocation. Thiago de Paulo Faleiros, Alneu de Andrade Lopes |
| 2016 | On the improvement of static force capacity of humanoid robots based on plants behavior. Juliano Pierezan, Roberto Zanetti Freire, Lucas Weihmann, Gilberto Reynoso-Meza, Leandro dos Santos Coelho |
| 2016 | One-class classification algorithm based on convex hull. Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos |
| 2016 | PSCEG: an unbiased parallel subspace clustering algorithm using exact grids. Bo Zhu, Alberto Mozo, Bruno Ordozgoiti |
| 2016 | Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs. Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis |
| 2016 | Parallelized unsupervised feature selection for large-scale network traffic analysis. Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo |
| 2016 | Performance assessment of quantum clustering in non-spherical data distributions. Raúl V. Casaña Eslava, José David Martín-Guerrero, Ian H. Jarman, Paulo J. G. Lisboa |
| 2016 | Physics and Machine Learning: Emerging Paradigms. José David Martín-Guerrero, Paulo J. G. Lisboa, Alfredo Vellido |
| 2016 | Policy-gradient methods for Decision Trees. Aurélia Léon, Ludovic Denoyer |
| 2016 | RBClust: High quality class-specific clustering using rule-based classification. Michael J. Siers, Md Zahidul Islam |
| 2016 | RNAsynth: constraints learning for RNA inverse folding. Fabrizio Costa, Parastou Kohvaei, Robert Kleinkauf |
| 2016 | RSS-based Robot Localization in Critical Environments using Reservoir Computing. Mauro Dragone, Claudio Gallicchio, Roberto Guzmán, Alessio Micheli |
| 2016 | Random Forests Model Selection. Ilenia Orlandi, Luca Oneto, Davide Anguita |
| 2016 | Semantic Role Labelling for Robot Instructions using Echo State Networks. Johannes Twiefel, Xavier Hinaut, Stefan Wermter |
| 2016 | Semi-Supervised Classification of Social Textual Data Using WiSARD. Fábio Medeiros Rangel, Fabrício Firmino de Faria, Priscila M. V. Lima, Jonice Oliveira |
| 2016 | Simultaneous estimation of rewards and dynamics from noisy expert demonstrations. Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard |
| 2016 | Sparse Least Squares Support Vector Machines via Multiresponse Sparse Regression. David Clifte da S. Vieira, Ajalmar R. da Rocha Neto, Antonio Wendell De Oliveira Rodrigues |
| 2016 | Spatial Chirp-Z Transformer Networks. Jonas Degrave, Sander Dieleman, Joni Dambre, Francis Wyffels |
| 2016 | Spatio-temporal feature selection for black-box weather forecasting. Zahra Karevan, Johan A. K. Suykens |
| 2016 | Spatiotemporal ICA improves the selection of differentially expressed genes. Emilie Renard, Andrew E. Teschendorff, Pierre-Antoine Absil |
| 2016 | Spectral clustering and discriminant analysis for unsupervised feature selection. Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai |
| 2016 | Stacked denoising autoencoders for the automatic recognition of microglial cells' state. Sofia Fernandes, Ricardo Gamelas Sousa, Renato Socodato, Luís M. Silva |
| 2016 | Stochastic gradient estimate variance in contrastive divergence and persistent contrastive divergence. Mathias Berglund |
| 2016 | Study on the loss of information caused by the "positivation" of graph kernels for 3D shapes. Gaëlle Loosli |
| 2016 | Supervised quantum gate "teaching" for quantum hardware design. Leonardo Banchi, Nicola Pancotti, Sougato Bose |
| 2016 | The WiSARD Classifier. Massimo De Gregorio, Maurizio Giordano |
| 2016 | Towards incremental deep learning: multi-level change detection in a hierarchical visual recognition architecture. Thomas Hecht, Alexander Gepperth |
| 2016 | Tuning the Distribution Dependent Prior in the PAC-Bayes Framework based on Empirical Data. Luca Oneto, Sandro Ridella, Davide Anguita |
| 2016 | Unsupervised Cross-Subject BCI Learning and Classification using Riemannian Geometry. Samaneh Nasiri Ghosheh Bolagh, Mohammad Bagher Shamsollahi, Christian Jutten, Marco Congedo |
| 2016 | Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness. Diego P. P. Mesquita, Antônio C. Araújo Neto, Jose Queiroz Neto, João P. P. Gomes, Leonardo Ramos Rodrigues |
| 2016 | Using a feature selection ensemble on DNA microarray datasets. Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
| 2016 | Using semantic similarity for multi-label zero-shot classification of text documents. Prateek Veeranna Sappadla, Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz |
| 2016 | Visualizing stacked autoencoder language learning. Trevor Barron, Matthew Whitehead |
| 2016 | Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler |
| 2016 | Word Embeddings for Morphologically Rich Languages. Pyry Takala |
| 2016 | anomaly detection on spectrograms using data-driven and fixed dictionary representations. Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot |
| 2016 | neuro-percolation as a superposition of random-walks. Gaetano Liborio Aiello |