Table of Contents

• Comparison of three algorithms for parametric change-point detectionCynthia Faure, Jean-Marc Bardet, Madalina Olteanu, Jérôme Lacaille. [doi]
• Fast Support Vector ClusteringTung Pham, Trung Le, Thai Hoang Le, Dat Tran. [doi]
• Bayesian semi non-negative matrix factorisationAlbert Vilamala, Alfredo Vellido, Lluís A. Belanche. [doi]
• Physics and Machine Learning: Emerging ParadigmsJosé David Martín-Guerrero, Paulo J. G. Lisboa, Alfredo Vellido. [doi]
• Random Forests Model SelectionIlenia Orlandi, Luca Oneto, Davide Anguita. [doi]
• Active transfer learning for activity recognitionTom Diethe, Niall Twomey, Peter A. Flach. [doi]
• Bayesian mixture of spatial spline regressionsFaicel Chamroukhi. [doi]
• Comparison of Four- and Six-Layered Configurations for Deep Network PretrainingTommi Kärkkäinen, Jan Hanninen. [doi]
• A reservoir activation kernel for treesDavide Bacciu, Claudio Gallicchio, Alessio Micheli. [doi]
• Learning with hard constraints as a limit case of learning with soft constraintsGiorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti. [doi]
• Instance and feature weighted k-nearest-neighbors algorithmGabriel Prat-Masramon, Lluís A. Belanche. [doi]
• Data complexity measures for analyzing the effect of SMOTE over microarraysLaura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. [doi]
• Enhancing a social science model-building workflow with interactive visualisationCagatay Turkay, Aidan Slingsby, Kaisa Lahtinen, Sarah Butt, Jason Dykes. [doi]
• Spatio-temporal feature selection for black-box weather forecastingZahra Karevan, Johan A. K. Suykens. [doi]
• A fast learning algorithm for high dimensional problems: an application to microarraysOscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Diego Rego-Fernández, David Martínez-Rego. [doi]
• Automatic detection of EEG arousalsIsaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo. [doi]
• Using a feature selection ensemble on DNA microarray datasetsBorja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. [doi]
• Incremental learning algorithms and applicationsAlexander Gepperth, Barbara Hammer. [doi]
• Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural NetworkEleni Tsironi, Pablo V. A. Barros, Stefan Wermter. [doi]
• An Experiment in Pre-Emphasizing Diversified Deep Neural ClassifiersRicardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal. [doi]
• Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural NetworksJörg Wagner, Volker Fischer, Michael Herman, Sven Behnke. [doi]
• Stochastic gradient estimate variance in contrastive divergence and persistent contrastive divergenceMathias Berglund. [doi]
• Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced dataFernando Mateo, Emilio Soria-Olivas, Marcelino Martínez-Sober, Maria Tellez-Plaza, Juan Gómez-Sanchís, Josep Redon. [doi]
• Multi-task learning for speech recognition: an overviewGueorgui Pironkov, Stéphane Dupont, Thierry Dutoit. [doi]
• Semantic Role Labelling for Robot Instructions using Echo State NetworksJohannes Twiefel, Xavier Hinaut, Stefan Wermter. [doi]
• Simultaneous estimation of rewards and dynamics from noisy expert demonstrationsMichael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard. [doi]
• Feature definition, analysis and selection for lung nodule classification in chest computerized tomography imagesLuis Gonçalves, Jorge Novo, Aurélio Campilho. [doi]
• Challenges in Deep LearningPlamen Angelov, Alessandro Sperduti. [doi]
• Learning contextual affordances with an associative neural architectureFrancisco Cruz 0002, German Ignacio Parisi, Stefan Wermter. [doi]
• Memory management for data streams subject to concept driftPierre-Xavier Loeffel, Christophe Marsala, Marcin Detyniecki. [doi]
• Deep neural network analysis of go games: which stones motivate a move?Thomas Burwick, Luke Ewig. [doi]
• Choosing the best algorithm for an incremental on-line learning taskViktor Losing, Barbara Hammer, Heiko Wersing. [doi]
• The WiSARD ClassifierMassimo De Gregorio, Maurizio Giordano. [doi]
• Clustering from two data sources using a kernel-based approach with weight couplingLynn Houthuys, Rocco Langone, Johan A. K. Suykens. [doi]
• Interpretability of machine learning models and representations: an introductionAdrien Bibal, Benoît Frénay. [doi]
• Towards incremental deep learning: multi-level change detection in a hierarchical visual recognition architectureThomas Hecht, Alexander Gepperth. [doi]
• Extending a two-variable mean to a multi-variable meanEstelle M. Massart, Julien M. Hendrickx, Pierre-Antoine Absil. [doi]
• Machine learning for medical applicationsVerónica Bolón-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurélio Campilho. [doi]
• Neural fitted actor-criticMatthieu Zimmer, Yann Boniface, Alain Dutech. [doi]
• RNAsynth: constraints learning for RNA inverse foldingFabrizio Costa, Parastou Kohvaei, Robert Kleinkauf. [doi]
• Converting SVDD scores into probability estimatesMeriem El Azami, Carole Lartizien, Stéphane Canu. [doi]
• Tuning the Distribution Dependent Prior in the PAC-Bayes Framework based on Empirical DataLuca Oneto, Sandro Ridella, Davide Anguita. [doi]
• Performance assessment of quantum clustering in non-spherical data distributionsRaul V. Casana Eslava, José David Martín-Guerrero, Ian H. Jarman, Paulo J. G. Lisboa. [doi]
• How machine learning won the Higgs boson challengeClaire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau. [doi]
• Measuring the Expressivity of Graph Kernels through the Rademacher ComplexityLuca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita. [doi]
• Visualizing stacked autoencoder language learningTrevor Barron, Matthew Whitehead. [doi]
• Parallelized unsupervised feature selection for large-scale network traffic analysisBruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo. [doi]
• Distributed learning algorithm for feedforward neural networksOscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, Diego Rego-Fernández. [doi]
• Grounding the experience of a visual field through sensorimotor contingenciesAlban Laflaquière, Michaël Garcia Ortiz, Ahmed Faraz Khan. [doi]
• Incremental hierarchical indexing and visualisation of large image collectionsFrédéric Rayar, Sabine Barrat, Fatma Bouali, Gilles Venturini. [doi]
• Stacked denoising autoencoders for the automatic recognition of microglial cells' stateSofia Fernandes, Ricardo Gamelas Sousa, Renato Socodato, Luís M. Silva. [doi]
• Kernel based collaborative filtering for very large scale top-N item recommendationFabio Aiolli, Mirko Polato. [doi]
• Genetic Algorithm with Novel Crossover, Selection and Health Check for ClusteringAbul Hashem Beg, Md Zahidul Islam 0001. [doi]
• Word Embeddings for Morphologically Rich LanguagesPyry Takala. [doi]
• Spatial Chirp-Z Transformer NetworksJonas Degrave, Sander Dieleman, Joni Dambre, Francis Wyffels. [doi]
• Maximum likelihood learning of RBMs with Gaussian visible units on the Stiefel manifoldRyo Karakida, Masato Okada, Shun-ichi Amari. [doi]
• Spectral clustering and discriminant analysis for unsupervised feature selectionXiucai Ye, Kaiyang Ji, Tetsuya Sakurai. [doi]
• Deep multi-task learning with evolving weightsSoufiane Belharbi, Romain Hérault, Clément Chatelain 0001, Sébastien Adam. [doi]
• Spatiotemporal ICA improves the selection of differentially expressed genesEmilie Renard, Andrew E. Teschendorff, Pierre-Antoine Absil. [doi]
• PSCEG: an unbiased parallel subspace clustering algorithm using exact gridsBo Zhu, Alberto Mozo, Bruno Ordozgoiti. [doi]
• Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-SeriesAli Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer. [doi]
• Supervised quantum gate "teaching" for quantum hardware designLeonardo Banchi, Nicola Pancotti, Sougato Bose. [doi]
• Efficient low rank approximation via alternating least squares for scalable kernel learningPiyush Bhardwaj, Harish Karnick. [doi]
• Informative data projections: a framework and two examplesTijl De Bie, Jefrey Lijffijt, Raúl Santos-Rodríguez, Bo Kang. [doi]
• Advances in Learning with Kernels: Theory and Practice in a World of growing ConstraintsLuca Oneto, Nicolò Navarin, Michele Donini, Fabio Aiolli, Davide Anguita. [doi]
• Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamicsMartin Mundt, Sebastian Blaes, Thomas Burwick. [doi]
• Bag-of-Steps: predicting lower-limb fracture rehabilitation lengthAlbert Pla, Beatriz López, Cristofor Nogueira, Natalia Mordvaniuk, Taco J. Blokhuis, Herman R. Holtslag. [doi]
• Sparse Least Squares Support Vector Machines via Multiresponse Sparse RegressionDavid Clifte da S. Vieira, Ajalmar R. da Rocha Neto, Antonio Wendell De Oliveira Rodrigues. [doi]
• A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastasesVictor Mocioiu, Nuno Miguel Pedrosa de Barros, Sandra Ortega-Martorell, Johannes Slotboom, Urspeter Knecht, Carles Arús, Alfredo Vellido, Margarida Julià-Sapé. [doi]
• A state-space model on interactive dimensionality reductionIgnacio Díaz Blanco, Abel Alberto Cuadrado Vega, Michel Verleysen. [doi]
• Discriminative dimensionality reduction in kernel spaceAlexander Schulz 0001, Barbara Hammer. [doi]
• Gaussian process prediction for time series of structured dataBenjamin Paassen, Christina Göpfert, Barbara Hammer. [doi]
• On the analysis of feature selection techniques in a conjunctival hyperemia grading frameworkMaría Luisa Sánchez Brea, Noelia Barreira-Rodríguez, Noelia Sánchez-Maroño, Antonio Mosquera González, Carlos García-Resúa, Eva Yebra-Pimentel. [doi]
• Information visualisation and machine learning: characteristics, convergence and perspectiveBenoît Frénay, Bruno Dumas. [doi]
• RBClust: High quality class-specific clustering using rule-based classificationMichael J. Siers, Md Zahidul Islam 0001. [doi]
• K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed ValuesDiego P. P. Mesquita, João P. P. Gomes, Leonardo Ramos Rodrigues. [doi]
• One-class classification algorithm based on convex hullDiego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos. [doi]
• Initialization of big data clustering using distributionally balanced foldingJoonas Hämäläinen, Tommi Kärkkäinen. [doi]
• A new penalisation term for image retrieval in clique neural networksRomain Huet, Nicolas Courty, Sébastien Lefèvre. [doi]
• Differentiable piecewise-Bézier interpolation on Riemannian manifoldsPierre-Antoine Absil, Pierre-Yves Gousenbourger, Paul Striewski, Benedikt Wirth. [doi]
• Human-centered machine learning through interactive visualization: review and open challengesDominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Daniel Weiskopf, Stephen C. North, Daniel A. Keim. [doi]
• An Immune-Inspired, Dependence-Based Approach to Blind Inversion of Wiener SystemsStephanie Alvarez Fernandez, Romis Attux, Denis G. Fantinato, Jugurta Montalvão, Daniel G. Silva. [doi]
• Human detection and classification of landing sites for search and rescue dronesFelipe Martins, Marc de Groot, Xeryus Stokkel, Marco Wiering. [doi]
• RSS-based Robot Localization in Critical Environments using Reservoir ComputingMauro Dragone, Claudio Gallicchio, Roberto Guzmán, Alessio Micheli. [doi]
• On the improvement of static force capacity of humanoid robots based on plants behaviorJuliano Pierezan, Roberto Zanetti Freire, Lucas Weihmann, Gilberto Reynoso-Meza, Leandro dos Santos Coelho. [doi]
• Controlling adaptive quantum-phase estimation with scalable reinforcement learningPantita Palittapongarnpim, Peter Wittek, Barry C. Sanders. [doi]
• Localized discriminative Gaussian process latent variable model for text-dependent speaker verificationNooshin Maghsoodi, Hossein Sameti, Hossein Zeinali. [doi]
• Fast in-memory spectral clustering using a fixed-size approachRocco Langone, Raghvendra Mall, Vilen Jumutc, Johan A. K. Suykens. [doi]
• Policy-gradient methods for Decision TreesAurélia Léon, Ludovic Denoyer. [doi]
• Assessment of diabetic retinopathy risk with random forestsSilvia Sanromà, Antonio Moreno, Aïda Valls, Pedro Romero-Aroca, Sofia de la Riva-Fernandez, Ramon Sagarra-Alamo. [doi]
• On the equivalence between algorithms for Non-negative Matrix Factorization and Latent Dirichlet AllocationThiago de Paulo Faleiros, Alneu de Andrade Lopes. [doi]
• Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUsKai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis. [doi]
• Learning in indefinite proximity spaces - recent trendsFrank-Michael Schleif, Peter Tiño, Yingyu Liang. [doi]
• Enhanced learning for agents in quantum-accessible environmentsJacob M. Taylor, Hans-J. Briegel, Vedran Dunjko. [doi]
• anomaly detection on spectrograms using data-driven and fixed dictionary representationsMina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot. [doi]
• From User-independent to Personal Human Activity Recognition Models Using Smartphone SensorsPekka Siirtola, Heli Koskimäki, Juha Röning. [doi]
• Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imageryJulien Rebetez, Héctor F. Satizábal, Matteo Mota, Dorothea Noll, Lucie Büchi, Marina Wendling, Bertrand Cannelle, Andrés Pérez-Uribe, Stéphane Burgos. [doi]
• Adaptive dissimilarity weighting for prototype-based classification optimizing mixtures of dissimilaritiesMarika Kaden, David Nebel, Thomas Villmann. [doi]
• Activity recognition with echo state networks using 3D body joints and objects categoryLuiza Mici, Xavier Hinaut, Stefan Wermter. [doi]
• Using semantic similarity for multi-label zero-shot classification of text documentsPrateek Veeranna Sappadla, Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz. [doi]
• Study on the loss of information caused by the "positivation" of graph kernels for 3D shapesGaëlle Loosli. [doi]
• Modelling of parameterized processes via regression in the model spaceWitali Aswolinskiy, René Felix Reinhart, Jochen Steil. [doi]
• Auto-adaptive Laplacian PyramidsÁngela Fernández Pascual, Neta Rabin, Dalia Fishelov, José R. Dorronsoro. [doi]
• Unsupervised Cross-Subject BCI Learning and Classification using Riemannian GeometrySamaneh Nasiri Ghosheh Bolagh, Mohammad Bagher Shamsollahi, Christian Jutten, Marco Congedo. [doi]
• Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and HairinessDiego P. P. Mesquita, Antônio C. Araújo Neto, Jose Queiroz Neto, João P. P. Gomes, Leonardo Ramos Rodrigues. [doi]
• Multicriteria optimized MLP for imbalanced learningPaavo Nieminen, Tommi Kärkkäinen. [doi]
• Semi-Supervised Classification of Social Textual Data Using WiSARDFabio Rangel, Fabrício Firmino De Faria, Priscila M. V. Lima, Jonice Oliveira. [doi]
• Boosting face recognition via neural Super-ResolutionGuillaume Berger, Clément Peyrard, Moez Baccouche. [doi]
• neuro-percolation as a superposition of random-walksGaetano Liborio Aiello. [doi]
• Deep Learning Vector QuantizationHarm de Vries, Roland Memisevic, Aaron C. Courville. [doi]
• Deep Reservoir Computing: A Critical AnalysisClaudio Gallicchio, Alessio Micheli. [doi]
• Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognitionChristoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler. [doi]