| 2018 | 26th European Symposium on Artificial Neural Networks, ESANN 2018, Bruges, Belgium, April 25-27, 2018 |
| 2018 | A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition. Henrique Siqueira, Pablo V. A. Barros, Sven Magg, Cornelius Weber, Stefan Wermter |
| 2018 | A neural network cost function for highly class-imbalanced data sets. David Twomey, Denise Gorse |
| 2018 | A novel filter algorithm for unsupervised feature selection based on a space filling measure. Mohamed Laib, Mikhail F. Kanevski |
| 2018 | A sharper bound on the Rademacher complexity of margin multi-category classifiers. Khadija Musayeva, Fabien Lauer, Yann Guermeur |
| 2018 | A variable projection method for block term decomposition of higher-order tensors. Guillaume Olikier, Pierre-Antoine Absil, Lieven De Lathauwer |
| 2018 | Active Learning based on Transfer Learning Techniques for Image Classification. Daniela Onita, Adriana Birlutiu |
| 2018 | Adaptive random forests for data stream regression. Heitor Murilo Gomes, Jean Paul Barddal, Luis Eduardo Boiko Ferreira, Albert Bifet |
| 2018 | An analysis of subtask-dependency in robot command interpretation with dilated CNNs. Manfred Eppe, Tayfun Alpay, Fares Abawi, Stefan Wermter |
| 2018 | An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series. Marcos Antonio Alves, Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Junior, Gustavo Linhares Vieira, Frederico Gadelha Guimarães, Hossein Javedani Sadaei |
| 2018 | Analysis of imputation bias for feature selection with missing data. Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed |
| 2018 | Anomaly detection in star light curves using hierarchical Gaussian processes. Haoyan Chen, Tom Diethe, Niall Twomey, Peter A. Flach |
| 2018 | Asymptotic statistics for multilayer perceptron with ReLu hidden units. Joseph Rynkiewicz |
| 2018 | Bidirectional deep-readout echo state networks. Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen |
| 2018 | Bioinformatics and medicine in the era of deep learning. Davide Bacciu, Paulo Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido |
| 2018 | Boolean kernels for interpretable kernel machines. Mirko Polato, Fabio Aiolli |
| 2018 | CDTW-based classification for Parkinson's Disease diagnosis. Nicolas Khoury, Ferhat Attal, Yacine Amirat, Abdelghani Chibani, Samer Mohammed |
| 2018 | Cache-efficient Gradient Descent Algorithm. Imen Chakroun, Tom Vander Aa, Thomas J. Ashby |
| 2018 | Capturing variabilities from Computed Tomography images with Generative Adversarial Networks (GANs). Umair Javaid, John A. Lee |
| 2018 | Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence Paradigm. Carlos Eduardo Klein, Viviana Cocco Mariani, Leandro dos Santos Coelho |
| 2018 | Combining latent tree modeling with a random forest-based approach, for genetic association studies. Christine Sinoquet, Kamel Mekhnacha |
| 2018 | Comparison of cluster validation indices with missing data. Marko Niemelä, Sami Äyrämö, Tommi Kärkkäinen |
| 2018 | Continuous convolutional object tracking. Peer Springstübe, Stefan Heinrich, Stefan Wermter |
| 2018 | Controlling biological neural networks with deep reinforcement learning. Jan Wülfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert |
| 2018 | DEEP: decomposition feature enhancement procedure for graphs. Dinh Tran-Van, Nicolò Navarin, Alessandro Sperduti |
| 2018 | Deep Echo State Networks for Diagnosis of Parkinson's Disease. Claudio Gallicchio, Alessio Micheli, Luca Pedrelli |
| 2018 | Differential private relevance learning. Johannes Brinkrolf, Kolja Berger, Barbara Hammer |
| 2018 | Dynamic autonomous image segmentation based on Grow Cut. Ion Alexandru Marinescu, Zoltán Bálint, Laura Diosan, Anca Andreica |
| 2018 | Effect of context in swipe gesture-based continuous authentication on smartphones. Pekka Siirtola, Jukka Komulainen, Vili Kellokumpu |
| 2018 | Efficient accuracy estimation for instance-based incremental active learning. Christian Limberg, Heiko Wersing, Helge J. Ritter |
| 2018 | Efficient approximate representations for computationally expensive features. Raúl Santos-Rodríguez, Niall Twomey |
| 2018 | Emerging trends in machine learning: beyond conventional methods and data. Luca Oneto, Nicolò Navarin, Michele Donini, Davide Anguita |
| 2018 | Enhancement of a stochastic Markov-blanket framework with ant colony optimization, to uncover epistasis in genetic association studies. Christine Sinoquet, Clément Niel |
| 2018 | Estimation of the Human Concentration using Echo State Networks. Hikmat Dashdamirov, Sebastián Basterrech |
| 2018 | Evolutionary Composition of Customized Fault Localization Heuristics. Diogo M. De-Freitas, Plínio de Sá Leitão Júnior, Celso G. Camilo-Junior, Rachel Harrison |
| 2018 | Evolutionary RL for Container Loading. Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan |
| 2018 | Extensive assessment of Barnes-Hut t-SNE. Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee |
| 2018 | Extreme Minimal Learning Machine. Tommi Kärkkäinen |
| 2018 | Fast Power system security analysis with Guided Dropout. Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici |
| 2018 | Feasibility based Large Margin Nearest Neighbor metric learning. Babak Hosseini, Barbara Hammer |
| 2018 | Feature noise tuning for resource efficient Bayesian Network Classifiers. Laura Isabel Galindez Olascoaga, Jonas Vlasselaer, Wannes Meert, Marian Verhelst |
| 2018 | Feature selection for label ranking. Noelia Sánchez-Maroño, Beatriz Pérez-Sánchez |
| 2018 | Finding the most interpretable MDS rotation for sparse linear models based on external features. Adrien Bibal, Rebecca Marion, Benoît Frénay |
| 2018 | Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir. Ali Rodan, Pedro A. Castillo, Hossam Faris, Antonio Miguel Mora, Huthaifa Jawazneh |
| 2018 | G-Rap: interactive text synthesis using recurrent neural network suggestions. Udo Schlegel, Eren Cakmak, Juri Buchmüller, Daniel A. Keim |
| 2018 | Generative Kernel PCA. Joachim Schreurs, Johan A. K. Suykens |
| 2018 | Globular Cluster Detection in the Gaia Survey. Mohammad Mohammadi, Reynier Peletier, Frank-Michael Schleif, Nicolai Petkov, Kerstin Bunte |
| 2018 | Graph based neural networks for automatic classification of multiple sclerosis clinical courses. Francesco Calimeri, Aldo Marzullo, Claudio Stamile, Giorgio Terracina |
| 2018 | Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke |
| 2018 | Image retrieval and ranking through Deep Comparative Neural Networks. Aymen Cherif, Salim Jouili |
| 2018 | Image-to-Text Transduction with Spatial Self-Attention. Sebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter |
| 2018 | Impact of Biases in Big Data. Patrick O. Glauner, Petko Valtchev, Radu State |
| 2018 | Incremental learning with deep neural networks using a test-time oracle. Alexander Gepperth, Saad Abdullah Gondal |
| 2018 | Inferencing based on unsupervised learning of disentangled representations. Tobias Hinz, Stefan Wermter |
| 2018 | Information visualisation and machine learning: latest trends towards convergence. Benoît Frénay, Bruno Dumas, John A. Lee |
| 2018 | Interactive dimensionality reduction of large datasets using interpolation. Ignacio Díaz Blanco, Daniel Pérez, Abel Alberto Cuadrado Vega, Diego García-Pérez, Manuel Domínguez-González |
| 2018 | Interpreting deep learning models for ordinal problems. José Pereira Amorim, Inês Domingues, Pedro Henriques Abreu, João A. M. Santos |
| 2018 | K-spectral centroid: extension and optimizations. Brieuc Conan-Guez, Alain Gély, Lydia Boudjeloud-Assala, Alexandre Blansché |
| 2018 | LANN-DSVD: A privacy-preserving distributed algorithm for machine learning. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Marcelo Gómez-Casal |
| 2018 | Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders. Pablo Huijse, Nicolas Astorga, Pablo A. Estévez, Giuliano Pignata |
| 2018 | Learning compressed representations of blood samples time series with missing data. Filippo Maria Bianchi, Karl Øyvind Mikalsen, Robert Jenssen |
| 2018 | Learning with a Fisher surrogate loss in a small data regime. Moussab Djerrab, Alexandre Garcia |
| 2018 | Local Rademacher Complexity Machine. Luca Oneto, Sandro Ridella, Davide Anguita |
| 2018 | Machine learning and data analysis in astroinformatics. Michael Biehl, Kerstin Bunte, Giuseppe Longo, Peter Tiño |
| 2018 | Meerkats-inspired Algorithm for Global Optimization Problems. Carlos Eduardo Klein, Leandro dos Santos Coelho |
| 2018 | Mixture of Hidden Markov Model as Tree Encoder. Davide Bacciu, Daniele Castellana |
| 2018 | Multi-omics data integration using cross-modal neural networks. Ioana Bica, Petar Velickovic, Hui Xiao |
| 2018 | Near-optimal facial emotion classification using a WiSARD-based weightless system. Leopoldo Lusquino Filho, Felipe M. G. França, Priscila M. V. Lima |
| 2018 | Neural Networks for Implicit Feedback Datasets. Josef Feigl, Martin Bogdan |
| 2018 | Non-Negative Tensor Dictionary Learning. Abraham Traoré, Maxime Berar, Alain Rakotomamonjy |
| 2018 | Non-negative Matrix Factorization for Medical Imaging. Miguel A. Atencia Ruiz, Ruxandra Stoean |
| 2018 | On aggregation in ranking median regression. Stéphan Clémençon, Anna Korba |
| 2018 | One-class Autoencoder approach to classify Raman spectra outliers. Katharina Hofer-Schmitz, Phuong-Ha Nguyen, Kristian Berwanger |
| 2018 | Opposite neighborhood: a new method to select reference points of minimal learning machines. Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Amauri H. Souza Júnior |
| 2018 | Order Crossover for the Inventory Routing Problem. Mohamed Salim Amri Sakhri, Mounira Tlili, Hamid Allaoui, Ouajdi Korbaa |
| 2018 | Perplexity-free t-SNE and twice Student tt-SNE. Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee |
| 2018 | Person Identification and Discovery With Wrist Worn Accelerometer Data. Ryan McConville, Raúl Santos-Rodríguez, Niall Twomey |
| 2018 | Personalizing human activity recognition models using incremental learning. Pekka Siirtola, Heli Koskimäki, Juha Röning |
| 2018 | Pollen grain recognition using convolutional neural network. Natalia Khanzhina, Evgeny Putin, Andrey Filchenkov, Elena Zamyatina |
| 2018 | Properties of adv-1 - Adversarials of Adversarials. Nils Worzyk, Oliver Kramer |
| 2018 | Prototype-based analysis of GAMA galaxy catalogue data. Aleke Nolte, Lingyu Wang, Michael Biehl |
| 2018 | Quantifying the Reservoir Quality using Dimensionality Reduction Techniques. Tomás Buriánek, Sebastián Basterrech |
| 2018 | Radar Based Pedestrian Detection using Support Vector Machine and the Micro Doppler Effect. Joao Victor Bruneti Severino, Alessandro Zimmer, Leandro dos Santos Coelho, Roberto Zanetti Freire |
| 2018 | Randomized Recurrent Neural Networks. Claudio Gallicchio, Alessio Micheli, Peter Tiño |
| 2018 | Regularised maximum-likelihood inference of mixture of experts for regression and clustering. Bao Tuyen Huynh, Faicel Chamroukhi |
| 2018 | Regularize and explicit collaborative filtering with textual attention. Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari |
| 2018 | Reinforcement Learning for High-Frequency Market Making. Ye-Sheen Lim, Denise Gorse |
| 2018 | Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach. Andrea Villmann, Marika Kaden, Sascha Saralajew, Wieland Hermann, Thomas Villmann |
| 2018 | Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path. Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro |
| 2018 | Scalable robust clustering method for large and sparse data. Joonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi |
| 2018 | Self-learning assembly systems during ramp-up. Ralf Schönherr, Maximilian Knaller, Markus Philipp |
| 2018 | Sensitivity analysis for predictive uncertainty. Stefan Depeweg, José Miguel Hernández-Lobato, Steffen Udluft, Thomas A. Runkler |
| 2018 | Set point thresholds from topological data analysis and an outlier detector. Alessio Carrega |
| 2018 | Shallow and Deep Models for Domain Adaptation problems. Siamak Mehrkanoon, Matthew B. Blaschko, Johan A. K. Suykens |
| 2018 | Short-term Memory of Deep RNN. Claudio Gallicchio |
| 2018 | Sleep staging with deep learning: a convolutional model. Isaac Fernández-Varela, Dimitrios Athanasakis, Samuel Parsons, Elena Hernández-Pereira, Vicente Moret-Bonillo |
| 2018 | Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic. Muhammad Burhan Hafez, Matthias Kerzel, Cornelius Weber, Stefan Wermter |
| 2018 | Spatial pooling as feature selection method for object recognition. Murat Kirtay, Lorenzo Vannucci, Ugo Albanese, Alessandro Ambrosano, Egidio Falotico, Cecilia Laschi |
| 2018 | Structuring and Solving Multi-Criteria Decision Making Problems using Artificial Neural Networks: a smartphone recommendation case. Victor Amaral de Sousa, Anthony Simonofski, Monique Snoeck, Ivan Jureta |
| 2018 | Surprisal-based activation in recurrent neural networks. Tayfun Alpay, Fares Abawi, Stefan Wermter |
| 2018 | Systematics aware learning : a case study in high energy physics. Victor Estrade, Cécile Germain, Isabelle Guyon, David Rousseau |
| 2018 | Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithm. Aviv Nahon, Boaz Lerner |
| 2018 | Temporal transfer learning for drift adaptation. Daegun Won, Peter J. Jansen, Jaime G. Carbonell |
| 2018 | The minimum effort maximum output principle applied to Multiple Kernel Learning. Ivano Lauriola, Mirko Polato, Fabio Aiolli |
| 2018 | Towards cognitive automotive environment modelling: reasoning based on vector representations. Florian Mirus, Terrence C. Stewart, Jörg Conradt |
| 2018 | Understanding wafer patterns in semiconductor production with variational auto-encoders. Tiago Santos, Roman Kern |
| 2018 | Unsupervised domain adaptation of deep object detectors. Debjeet Majumdar, Vinay P. Namboodiri |
| 2018 | Vector Field Based Neural Networks. Daniel Vieira, Fábio Medeiros Rangel, Fabrício Firmino de Faria, João Paixão |
| 2018 | VisCoDeR: A tool for visually comparing dimensionality reduction algorithms. René Cutura, Stefan Holzer, Michaël Aupetit, Michael Sedlmair |
| 2018 | behaviour-based working memory capacity classification using recurrent neural networks. Mazen Salous, Felix Putze |
| 2018 | clustering with decision trees: divisive and agglomerative approach. Lauriane Castin, Benoît Frénay |
| 2018 | interpretation of convolutional neural networks for speech regression from electrocorticography. Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz |
| 2018 | stellar formation rates in galaxies using machine learning models. Michele Delli Veneri, Stefano Cavuoti, Massimo Brescia, Giuseppe Riccio, Giuseppe Longo |
| 2018 | transferring style in motion capture sequences with adversarial learning. Qi Wang, Mickaël Chen, Thierry Artières, Ludovic Denoyer |