Table of Contents

• Image retrieval and ranking through Deep Comparative Neural NetworksAymen Cherif, Salim Jouili. [doi]
• Mixture of Hidden Markov Model as Tree EncoderDavide Bacciu, Daniele Castellana. [doi]
• Meerkats-inspired Algorithm for Global Optimization ProblemsCarlos Eduardo Klein, Leandro dos Santos Coelho. [doi]
• Fast Power system security analysis with Guided DropoutBenjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici. [doi]
• Hierarchical Recurrent Filtering for Fully Convolutional DenseNetsJörg Wagner, Volker Fischer, Michael Herman, Sven Behnke. [doi]
• Bidirectional deep-readout echo state networksFilippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen. [doi]
• A neural network cost function for highly class-imbalanced data setsDavid Twomey, Denise Gorse. [doi]
• Combining latent tree modeling with a random forest-based approach, for genetic association studiesChristine Sinoquet, Kamel Mekhnacha. [doi]
• Interactive dimensionality reduction of large datasets using interpolationIgnacio Díaz Blanco, Daniel Pérez-López, Abel Alberto Cuadrado Vega, Diego Garcia-Perez, Manuel Domínguez-González. [doi]
• Continuous convolutional object trackingPeer Springstübe, Stefan Heinrich, Stefan Wermter. [doi]
• Analysis of imputation bias for feature selection with missing dataBorja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin Bennett, Verónica Bolón-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed. [doi]
• Capturing variabilities from Computed Tomography images with Generative Adversarial Networks (GANs)Umair Javaid, John A. Lee. [doi]
• Systematics aware learning : a case study in high energy physicsVictor Estrade, Cécile Germain, Isabelle Guyon, David Rousseau. [doi]
• Vector Field Based Neural NetworksDaniel Vieira, Fabio Rangel, Fabrício Firmino De Faria, Joao Paixao. [doi]
• Surprisal-based activation in recurrent neural networksTayfun Alpay, Fares Abawi, Stefan Wermter. [doi]
• Asymptotic statistics for multilayer perceptron with ReLu hidden unitsJoseph Rynkiewicz. [doi]
• Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line ReservoirAli Rodan, Pedro A. Castillo, Hossam Faris, Antonio Miguel Mora, Huthaifa Jawazneh. [doi]
• A sharper bound on the Rademacher complexity of margin multi-category classifiersKhadija Musayeva, Fabien Lauer, Yann Guermeur. [doi]
• K-spectral centroid: extension and optimizationsBrieuc Conan-Guez, Alain Gély, Lydia Boudjeloud-Assala, Alexandre Blansché. [doi]
• VisCoDeR: A tool for visually comparing dimensionality reduction algorithmsRene Cutura, Stefan Holzer, Michaël Aupetit, Michael Sedlmair. [doi]
• Adaptive random forests for data stream regressionHeitor Murilo Gomes, Jean Paul Barddal, Luis Eduardo Boiko Ferreira, Albert Bifet. [doi]
• Interpreting deep learning models for ordinal problemsJosé P. Amorim, Inês Domingues, Pedro Henriques Abreu, João Santos. [doi]
• Cache-efficient Gradient Descent AlgorithmImen Chakroun, Tom Vander Aa, Thomas J. Ashby. [doi]
• Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization PathAlejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro. [doi]
• Towards cognitive automotive environment modelling: reasoning based on vector representationsFlorian Mirus, Terrence C. Stewart, Jörg Conradt. [doi]
• Near-optimal facial emotion classification using a WiSARD-based weightless systemLeopoldo Lusquino Filho, Felipe M. G. França, Priscila M. V. Lima. [doi]
• A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression RecognitionHenrique Siqueira, Pablo V. A. Barros, Sven Magg, Cornelius Weber, Stefan Wermter. [doi]
• Neural Networks for Implicit Feedback DatasetsJosef Feigl, Martin Bogdan. [doi]
• Learning compressed representations of blood samples time series with missing dataFilippo Maria Bianchi, Karl Øyvind Mikalsen, Robert Jenssen. [doi]
• Randomized Recurrent Neural NetworksClaudio Gallicchio, Alessio Micheli, Peter Tiño. [doi]
• A variable projection method for block term decomposition of higher-order tensorsGuillaume Olikier, Pierre-Antoine Absil, Lieven De Lathauwer. [doi]
• Quantifying the Reservoir Quality using Dimensionality Reduction TechniquesTomás Buriánek, Sebastián Basterrech. [doi]
• DEEP: decomposition feature enhancement procedure for graphsDinh Tran-Van, Nicolò Navarin, Alessandro Sperduti. [doi]
• Effect of context in swipe gesture-based continuous authentication on smartphonesPekka Siirtola, Jukka Komulainen, Vili Kellokumpu. [doi]
• CDTW-based classification for Parkinson's Disease diagnosisNicolas Khoury, Ferhat Attal, Yacine Amirat, Abdelghani Chibani, Samer Mohammed. [doi]
• Active Learning based on Transfer Learning Techniques for Image ClassificationDaniela Onita, Adriana Birlutiu. [doi]
• behaviour-based working memory capacity classification using recurrent neural networksMazen Salous, Felix Putze. [doi]
• Enhancement of a stochastic Markov-blanket framework with ant colony optimization, to uncover epistasis in genetic association studiesChristine Sinoquet, Clément Niel. [doi]
• Dynamic autonomous image segmentation based on Grow CutIon Alexandru Marinescu, Zoltán Bálint, Laura Diosan, Anca Andreica. [doi]
• Scalable robust clustering method for large and sparse dataJoonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi. [doi]
• Anomaly detection in star light curves using hierarchical Gaussian processesHaoyan Chen, Tom Diethe, Niall Twomey, Peter A. Flach. [doi]
• interpretation of convolutional neural networks for speech regression from electrocorticographyMiguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz. [doi]
• Radar Based Pedestrian Detection using Support Vector Machine and the Micro Doppler EffectJoao Victor Bruneti Severino, Alessandro Zimmer, Leandro dos Santos Coelho, Roberto Zanetti Freire. [doi]
• Understanding wafer patterns in semiconductor production with variational auto-encodersTiago Santos, Roman Kern. [doi]
• On aggregation in ranking median regressionStéphan Clémençon, Anna Korba. [doi]
• Emerging trends in machine learning: beyond conventional methods and dataLuca Oneto, Nicolò Navarin, Michele Donini, Davide Anguita. [doi]
• Generative Kernel PCAJoachim Schreurs, Johan Suykens. [doi]
• Shallow and Deep Models for Domain Adaptation problemsSiamak Mehrkanoon, Matthew B. Blaschko, Johan Suykens. [doi]
• Learning with a Fisher surrogate loss in a small data regimeMoussab Djerrab, Alexandre Garcia. [doi]
• Self-learning assembly systems during ramp-upRalf Schönherr, Maximilian Knaller, Markus Philipp. [doi]
• Sensitivity analysis for predictive uncertaintyStefan Depeweg, José Miguel Hernández-Lobato, Steffen Udluft, Thomas A. Runkler. [doi]
• Boolean kernels for interpretable kernel machinesMirko Polato, Fabio Aiolli. [doi]
• Reinforcement Learning for High-Frequency Market MakingYe-Sheen Lim, Denise Gorse. [doi]
• Properties of adv-1 - Adversarials of AdversarialsNils Worzyk, Oliver Kramer. [doi]
• Estimation of the Human Concentration using Echo State NetworksHikmat Dashdamirov, Sebastián Basterrech. [doi]
• Prototype-based analysis of GAMA galaxy catalogue dataAleke Nolte, Lingyu Wang, Michael Biehl. [doi]
• Personalizing human activity recognition models using incremental learningPekka Siirtola, Heli Koskimäki, Juha Röning. [doi]
• transferring style in motion capture sequences with adversarial learningQi Wang, Mickaël Chen, Thierry Artières, Ludovic Denoyer. [doi]
• Set point thresholds from topological data analysis and an outlier detectorAlessio Carrega. [doi]
• Regularised maximum-likelihood inference of mixture of experts for regression and clusteringBao Tuyen Huynh, Faicel Chamroukhi. [doi]
• Non-Negative Tensor Dictionary LearningAbraham Traore, Maxime Berar, Alain Rakotomamonjy. [doi]
• Perplexity-free t-SNE and twice Student tt-SNECyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee. [doi]
• Inferencing based on unsupervised learning of disentangled representationsTobias Hinz, Stefan Wermter. [doi]
• An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time seriesMarcos Antonio Alves, Petrônio Cândido de Lima e Silva, Carlos A. Severiano, Gustavo Linhares Vieira, Frederico Gadelha Guimarães, Hossein Javedani Sadaei. [doi]
• Feature noise tuning for resource efficient Bayesian Network ClassifiersLaura Isabel Galindez Olascoaga, Jonas Vlasselaer, Wannes Meert, Marian Verhelst. [doi]
• clustering with decision trees: divisive and agglomerative approachLauriane Castin, Benoît Frénay. [doi]
• stellar formation rates in galaxies using machine learning modelsMichele Delli Veneri, Stefano Cavuoti, Massimo Brescia, Giuseppe Riccio, Giuseppe Longo. [doi]
• Graph based neural networks for automatic classification of multiple sclerosis clinical coursesFrancesco Calimeri, Aldo Marzullo, Claudio Stamile, Giorgio Terracina. [doi]
• Feature selection for label rankingNoelia Sánchez-Maroño, Beatriz Pérez-Sánchez. [doi]
• The minimum effort maximum output principle applied to Multiple Kernel LearningIvano Lauriola, Mirko Polato, Fabio Aiolli. [doi]
• Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence ParadigmCarlos Eduardo Klein, Viviana Cocco Mariani, Leandro dos Santos Coelho. [doi]
• Structuring and Solving Multi-Criteria Decision Making Problems using Artificial Neural Networks: a smartphone recommendation caseVictor Amaral De Sousa, Anthony Simonofski, Monique Snoeck, Ivan Jureta. [doi]
• Feasibility based Large Margin Nearest Neighbor metric learningBabak Hosseini, Barbara Hammer. [doi]
• Efficient accuracy estimation for instance-based incremental active learningChristian Limberg, Heiko Wersing, Helge J. Ritter. [doi]
• Person Identification and Discovery With Wrist Worn Accelerometer DataRyan McConville, Raúl Santos-Rodríguez, Niall Twomey. [doi]
• Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithmAviv Nahon, Boaz Lerner. [doi]
• Finding the most interpretable MDS rotation for sparse linear models based on external featuresAdrien Bibal, Rebecca Marion, Benoît Frénay. [doi]
• Evolutionary Composition of Customized Fault Localization HeuristicsDiogo M. De-Freitas, Plínio de Sá Leitão Júnior, Celso G. Camilo-Junior, Rachel Harrison. [doi]
• Bioinformatics and medicine in the era of deep learningDavide Bacciu, Paulo Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido. [doi]
• Comparison of cluster validation indices with missing dataMarko Niemelä, Sami Äyrämö, Tommi Kärkkäinen. [doi]
• Temporal transfer learning for drift adaptationDaegun Won, Peter J. Jansen, Jaime G. Carbonell. [doi]
• One-class Autoencoder approach to classify Raman spectra outliersKatharina Hofer-Schmitz, Phuong Ha Nguyen, Kristian Berwanger. [doi]
• Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy ApproachAndrea Villmann, Marika Kaden, Sascha Saralajew, Wieland Hermann, Thomas Villmann. [doi]
• G-Rap: interactive text synthesis using recurrent neural network suggestionsUdo Schlegel, Eren Cakmak, Juri Buchmüller, Daniel A. Keim. [doi]
• A novel filter algorithm for unsupervised feature selection based on a space filling measureMohamed Laib, Mikhail Kanevski. [doi]
• Order Crossover for the Inventory Routing ProblemMohamed Salim Amri Sakhri, Mounira Tlili, Hamid Allaoui, Ouajdi Korbaa. [doi]
• Pollen grain recognition using convolutional neural networkNatalia Khanzhina, Evgeny Putin, Andrey Filchenkov, Elena Zamyatina. [doi]
• Spatial pooling as feature selection method for object recognitionMurat Kirtay, Lorenzo Vannucci, Ugo Albanese, Alessandro Ambrosano, Egidio Falotico, Cecilia Laschi. [doi]
• Impact of Biases in Big DataPatrick O. Glauner, Petko Valtchev, Radu State. [doi]
• Deep Echo State Networks for Diagnosis of Parkinson's DiseaseClaudio Gallicchio, Alessio Micheli, Luca Pedrelli. [doi]
• Image-to-Text Transduction with Spatial Self-AttentionSebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter. [doi]
• Controlling biological neural networks with deep reinforcement learningJan Wülfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert. [doi]
• Short-term Memory of Deep RNNClaudio Gallicchio. [doi]
• Globular Cluster Detection in the Gaia SurveyMohammad Mohammadi, Reynier Peletier, Frank-Michael Schleif, Nicolai Petkov, Kerstin Bunte. [doi]
• Non-negative Matrix Factorization for Medical ImagingMiguel A. Atencia Ruiz, Ruxandra Stoean. [doi]
• Regularize and explicit collaborative filtering with textual attentionCharles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari. [doi]
• An analysis of subtask-dependency in robot command interpretation with dilated CNNsManfred Eppe, Tayfun Alpay, Fares Abawi, Stefan Wermter. [doi]
• Local Rademacher Complexity MachineLuca Oneto, Sandro Ridella, Davide Anguita. [doi]
• Incremental learning with deep neural networks using a test-time oracleAlexander Gepperth, Saad Abdullah Gondal. [doi]
• Evolutionary RL for Container LoadingSarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan. [doi]
• Efficient approximate representations for computationally expensive featuresRaúl Santos-Rodríguez, Niall Twomey. [doi]
• Extensive assessment of Barnes-Hut t-SNECyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee. [doi]
• Machine learning and data analysis in astroinformaticsMichael Biehl, Kerstin Bunte, Giuseppe Longo, Peter Tiño. [doi]
• Multi-omics data integration using cross-modal neural networksIoana Bica, Petar Velickovic, Hui Xiao. [doi]
• Sleep staging with deep learning: a convolutional modelIsaac Fernández-Varela, Dimitrios Athanasakis, Samuel Parsons, Elena Hernández-Pereira, Vicente Moret-Bonillo. [doi]
• Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-CriticMuhammad Burhan Hafez, Matthias Kerzel, Cornelius Weber, Stefan Wermter. [doi]
• LANN-DSVD: A privacy-preserving distributed algorithm for machine learningOscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Marcelo Gómez-Casal. [doi]
• Latent representations of transient candidates from an astronomical image difference pipeline using Variational AutoencodersPablo Huijse, Nicolas Astorga, Pablo A. Estévez, Giuliano Pignata. [doi]
• Information visualisation and machine learning: latest trends towards convergenceBenoît Frénay, Bruno Dumas, John A. Lee. [doi]
• Differential private relevance learningJohannes Brinkrolf, Kolja Berger, Barbara Hammer. [doi]
• Extreme Minimal Learning MachineTommi Kärkkäinen. [doi]
• Unsupervised domain adaptation of deep object detectorsDebjeet Majumdar, Vinay Namboodiri. [doi]
• Opposite neighborhood: a new method to select reference points of minimal learning machinesMadson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Amauri H. Souza Júnior. [doi]