Table of Contents

• Hierarchical, prototype-based clustering of multiple time series with missing valuesPekka Wartiainen, Tommi Kärkkäinen. [doi]
• Efficient unsupervised clustering for spatial birds population analysis along the river LoireAurore Payen, Ludovic Journaux, Clément Delion, Lucile Sautot, Bruno Faivre. [doi]
• SMO Lattices for the Parallel Training of Support Vector MachinesMarkus Kächele, Günther Palm, Friedhelm Schwenker. [doi]
• ESNigma: efficient feature selection for echo state networksDavide Bacciu, Filippo Benedetti, Alessio Micheli. [doi]
• Certainty-based prototype insertion/deletion for classification with metric adaptationLydia Fischer, Barbara Hammer, Heiko Wersing. [doi]
• A new fuzzy neural system with applicationsYuan Yuan Chai, Jun Chen, Wei Luo. [doi]
• Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functionsFerhat Attal, Abderrahmane Boubezoul, Allou Samé, Latifa Oukhellou. [doi]
• Pareto Local Search for MOMDP PlanningChiel Kooijman, Maarten de Waard, Maarten Inja, Diederik M. Roijers, Shimon Whiteson. [doi]
• A new genetic algorithm for multi-label correlation-based feature selectionSuwimol Jungjit, Alex Alves Freitas. [doi]
• PCA-based algorithm for feature score measures ensemble constructionAndrey Filchenkov, Vladislav Dolganov, Ivan Smetannikov. [doi]
• Geometrical homotopy for data visualizationDiego Hernán Peluffo-Ordóñez, Juan Carlos Alvarado-Pérez, John Aldo Lee, Michel Verleysen. [doi]
• Online One-class Classification for Intrusion Detection Based on the Mahalanobis DistancePatric Nader, Paul Honeine, Pierre Beauseroy. [doi]
• Discovering temporally extended features for reinforcement learning in domains with delayed causalitiesRobert Lieck, Marc Toussaint. [doi]
• Median-LVQ for classification of dissimilarity data based on ROC-optimizationDavid Nebel, Thomas Villmann. [doi]
• A State-Space Model for the Dynamic Random Subgraph ModelRawya Zreik, Pierre Latouche, Charles Bouveyron. [doi]
• Thompson Sampling for Multi-Objective Multi-Armed Bandits ProblemSaba Q. Yahyaa, Bernard Manderick. [doi]
• Feature and kernel learningVerónica Bolón-Canedo, Michele Donini, Fabio Aiolli. [doi]
• Solar PV Power Forecasting Using Extreme Learning Machine and Information FusionHélène Le Cadre, Ignacio Aravena, Anthony Papavasiliou. [doi]
• High-School Dropout Prediction Using Machine Learning: A Danish Large-scale StudyNicolae-Bogdan Sara, Rasmus Halland, Christian Igel, Stephen Alstrup. [doi]
• Learning Recurrent Dynamics using Differential EvolutionSebastian Otte, Fabian Becker, Martin V. Butz, Marcus Liwicki, Andreas Zell. [doi]
• Prediction of concrete carbonation depth using decision treesWoubishet Taffese, Esko Sistonen, Jari Puttonen. [doi]
• Assessment of feature saliency of MLP using analytic sensitivityTommi Kärkkäinen. [doi]
• Diffusion Maps parameters selection based on neighbourhood preservationCarlos M. Alaíz, Ángela Fernández Pascual, José R. Dorronsoro. [doi]
• Designing semantic feature spaces for brain-readingLuepol Pipanmaekaporn, Ludmilla Tajtelbom, Vincent Guigue, Thierry Artières. [doi]
• Multi-objective optimization perspectives on reinforcement learning algorithms using reward vectorsMadalina M. Drugan. [doi]
• Ensemble Learning with Dynamic Ordered Pruning for RegressionKaushala Dias, Terry Windeatt. [doi]
• The use of RBF neural network to predict building's corners hygrothermal behaviorRoberto Zanetti Freire, Gerson H. dos Santos, Leandro dos Santos Coelho, Viviana Cocco Mariani, Divani da S. Carvalho. [doi]
• Supervised Manifold Learning with Incremental Stochastic EmbeddingsOliver Kramer. [doi]
• Real-time activity recognition via deep learning of motion featuresKishore Konda, Pramod Chandrashekhariah, Roland Memisevic, Jochen Triesch. [doi]
• Learning matrix quantization and variants of relevance learningKristin Domaschke, Marika Kaden, Mandy Lange, Thomas Villmann. [doi]
• Enhancing learning at work. How to combine theoretical and data-driven approaches, and multiple levels of data?Virpi Kalakoski, Henriikka Ratilainen, Linda Drupsteen. [doi]
• Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral ClusteringRaghvendra Mall, Rocco Langone, Johan A. K. Suykens. [doi]
• Revisiting ant colony algorithms to seismic faults detectionWalther Maciel, Cristina Nader Vasconcelos, Pedro Mario Silva, Marcelo Gattass. [doi]
• A Robust Neural Robot Navigation Using a Combination of Deliberative and Reactive Control ArchitecturesDalia Marcela Rojas-Castro, Arnaud Revel, Michel Ménard. [doi]
• Unsupervised dimensionality reduction: the challenge of big data visualizationKerstin Bunte, John Aldo Lee. [doi]
• A simple technique for improving multi-class classification with neural networksThomas Kopinski, Alexander Gepperth, Uwe Handmann. [doi]
• Search Strategies for Binary Feature Selection for a Naive Bayes ClassifierTsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi. [doi]
• Depth and height aware semantic RGB-D perception with convolutional neural networksHannes Schulz, Nico Höft, Sven Behnke. [doi]
• Human Algorithmic Stability and Human Rademacher ComplexityMehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Davide Anguita, Mathias Funk, Matthias Rauterberg. [doi]
• Reducing offline evaluation bias of collaborative filteringArnaud De Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi. [doi]
• An Ensemble Learning Technique for Multipartite RankingStéphan Clémençon, Sylvain Robbiano. [doi]
• A WiSARD-based multi-term memory framework for online tracking of objectsDaniel Nascimento, Rafael Lima de Carvalho, Félix Mora-Camino, Priscila M. V. Lima, Felipe M. G. França. [doi]
• Solving constrained Lasso and Elastic Net using nu-SVMsCarlos M. Alaíz, Alberto Torres, José R. Dorronsoro. [doi]
• Exploiting the ODD framework to define a novel effective graph kernelGiovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti. [doi]
• Graphs in machine learning. An introductionPierre Latouche, Fabrice Rossi. [doi]
• One-vs-all binarization technique in the context of random forestMd. Nasim Adnan, Md Zahidul Islam 0001. [doi]
• An affinity matrix approach for structure selection of extreme learning machinesDavid Pinto, André P. Lemos, Antônio P. Braga. [doi]
• Predicting the profitability of agricultural enterprises in dairy farmingMaria Yli-Heikkilä, Jukka Tauriainen, Mika Sulkava. [doi]
• Survival Analysis with Cox Regression and Random Non-linear ProjectionsSamuel Branders, Benoît Frénay, Pierre Dupont. [doi]
• Pareto front of bi-objective kernel-based nonnegative matrix factorizationFei Zhu, Paul Honeine. [doi]
• Gaussian process modelling of multiple short time seriesHande Topa, Antti Honkela. [doi]
• Bernoulli bandits: an empirical comparisonNixon K. Ronoh, Reuben Odoyo, Edna Milgo, Madalina M. Drugan, Bernard Manderick. [doi]
• An objective function for self-limiting neural plasticity rulesRodrigo Echeveste, Claudius Gros. [doi]
• Asynchronous decentralized convex optimization through short-term gradient averagingJérôme Fellus, David Picard, Philippe Henri Gosselin. [doi]
• Using the Mean Absolute Percentage Error for Regression ModelsArnaud De Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi. [doi]
• Learning objects from RGB-D sensors using point cloud-based neural networksMarcelo Borghetti Soares, Pablo V. A. Barros, German Ignacio Parisi, Stefan Wermter. [doi]
• Unsupervised Dimensionality Reduction for Transfer LearningPatrick Blöbaum, Alexander Schulz 0001, Barbara Hammer. [doi]
• On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessmentVerónica Bolón-Canedo, Alba Fernández, Amparo Alonso-Betanzos, Marcos Ortega, Manuel G. Penedo. [doi]
• Measuring scoring efficiency through goal expectancy estimationHéctor Ruiz, Paulo Lisboa, Paul Neilson, Warren Gregson. [doi]
• Learning features on tear film lipid layer classificationBeatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Manuel G. Penedo. [doi]
• Towards a Tomographic Index of Systemic Risk MeasuresKaj-Mikael Björk, Patrick Kouontchou, Amaury Lendasse, Yoan Miché, Bertrand Maillet. [doi]
• I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection ProblemPéricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio. [doi]
• Probabilistic Classification Vector Machine at large scaleFrank-Michael Schleif, Andrej Gisbrecht, Peter Tiño. [doi]
• Learning missing edges via kernels in partially-known graphsSenka Krivic, Sándor Szedmák, Hanchen Xiong, Justus H. Piater. [doi]
• Exact ICL maximization in a non-stationary time extension of latent block model for dynamic networksMarco Corneli, Pierre Latouche, Fabrice Rossi. [doi]
• Memory Transfer in DRASiW-like SystemsMassimo De Gregorio, Maurizio Giordano. [doi]
• I see you: on neural networks for indoor geolocationJohannes Pohl, Andreas Noack. [doi]
• Online multiclass learning with "bandit" feedback under a Passive-Aggressive approachHongliang Zhong, Emmanuel Daucé, Liva Ralaivola. [doi]
• A generalised label noise model for classificationJakramate Bootkrajang. [doi]
• Comparison of Numerical Models and Statistical Learning for Wind Speed PredictionNils André Treiber, Stephan Späth, Justin Heinermann, Lueder von Bremen, Oliver Kramer. [doi]
• The prediction of learning performance using features of note taking activitiesMinoru Nakayama, Kouichi Mutsuura, Hiroh Yamamoto. [doi]
• Dynamic gesture recognition using Echo State NetworksDoreen Jirak, Pablo V. A. Barros, Stefan Wermter. [doi]
• Using self-organizing maps for regression: the importance of the output functionThomas Hecht, Mathieu Lefort, Alexander Gepperth. [doi]
• Combining higher-order N-grams and intelligent sample selection to improve language modeling for Handwritten Text RecognitionJafar Tanha, Jesse de Does, Katrien Depuydt. [doi]
• Advances in learning analytics and educational data miningMehrnoosh Vahdat, Alessandro Ghio, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg. [doi]
• NLDR methods for high dimensional NIRS dataset : application to vineyard soils characterizationClément Delion, Ludovic Journaux, Aurore Payen, Lucile Sautot, Emmanuel Chevigny, Pierre Curmi. [doi]
• Optimal transport for semi-supervised domain adaptationDenis Rousselle, Stéphane Canu. [doi]
• Rank-constrained optimization: a Riemannian manifold approachGuifang Zhou, Wen Huang, Kyle A. Gallivan, Paul Van Dooren, Pierre-Antoine Absil. [doi]
• Fast greedy insertion and deletion in sparse Gaussian process regressionJens Schreiter, Duy Nguyen-Tuong, Heiner Markert, Michael Hanselmann, Marc Toussaint. [doi]
• Combining dissimilarity measures for prototype-based classificationErnest Mwebaze, Gjalt Bearda, Michael Biehl, Dietlind Zühlke. [doi]
• Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian ApproachLuiz C. B. Torres, Cristiano Leite Castro, Antônio P. Braga. [doi]
• Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief NetsSaikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani. [doi]
• Adaptive structure metrics for automated feedback provision in Java programmingBenjamin Paassen, Bassam Mokbel, Barbara Hammer. [doi]
• Long Short Term Memory Networks for Anomaly Detection in Time SeriesPankaj Malhotra, Lovekesh Vig, Gautam Shroff, Puneet Agarwal. [doi]
• On the equivalence between regularized NMF and similarity-augmented graph partitioningAnthony Coutant, Hoel Le Capitaine, Philippe Leray. [doi]
• Improving the random forest algorithm by randomly varying the size of the bootstrap samples for low dimensional data setsMd. Nasim Adnan, Md Zahidul Islam 0001. [doi]
• Weighted Clustering of Sparse Educational DataMirka Saarela, Tommi Kärkkäinen. [doi]
• Robust Visual Terrain Classification with Recurrent Neural NetworksSebastian Otte, Stefan Laible, Richard Hanten, Marcus Liwicki, Andreas Zell. [doi]
• Online Learning with Operator-valued KernelsJulien Audiffren, Hachem Kadri. [doi]
• A flat neural network architecture to represent movement primitives with integrated sequencingAndre Lemme, Jochen Steil. [doi]
• Morisita-based feature selection for regression problemsJean Golay, Michael Leuenberger, Mikhail F. Kanevski. [doi]
• Resource-efficient Incremental learning in very high dimensionsAlexander Gepperth, Mathieu Lefort, Thomas Hecht. [doi]
• Training Multi-Layer Perceptron with Multi-Objective Optimization and Spherical Weights RepresentationHonovan P. Rocha, Marcelo Azevedo Costa, Antônio P. Braga. [doi]
• Data Analytics for Drilling Operational States ClassificationsGalina V. Veres, Zoheir A. Sabeur. [doi]
• Autoencoding time series for visualisationNikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Polsterer, Ranjeev Misra. [doi]
• Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUsLuca Oneto, Bernardo Pilarz, Alessandro Ghio, Davide Anguita. [doi]