| 2017 | 25th European Symposium on Artificial Neural Networks, ESANN 2017, Bruges, Belgium, April 26-28, 2017 |
| 2017 | A Deep Q-Learning Agent for L-Game with Variable Batch Training. Petros Giannakopoulos, Yannis Cotronis |
| 2017 | A Robust Minimal Learning Machine based on the M-Estimator. João P. P. Gomes, Diego P. P. Mesquita, Ananda Freire, Amauri H. Souza Júnior, Tommi Kärkkäinen |
| 2017 | A Simple Cluster Validation Index with Maximal Coverage. Susanne Jauhiainen, Tommi Kärkkäinen |
| 2017 | A decision support system based on cellular automata to help the control of late blight in tomato cultures. Gizelle Kupac Vianna, Gustavo Sucupira Oliveira, Gabriel Vargas Cunha |
| 2017 | A distributed approach for classification using distance metrics. Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
| 2017 | A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets. Romero F. A. B. de Morais, Péricles B. C. Miranda, Ricardo M. A. Silva |
| 2017 | A neuro-symbolic approach to GPS trajectory classification. Diego Carvalho, Felipe M. G. França, Raul Barbosa, Douglas de O. Cardoso |
| 2017 | A novel principle for causal inference in data with small error variance. Patrick Blöbaum, Shohei Shimizu, Takashi Washio |
| 2017 | A performance acceleration algorithm of spectral unmixing via subset selection. Jing Ke, Yi Guo, Arcot Sowmya, Tomasz Bednarz |
| 2017 | Accelerating stochastic kernel SOM. Jérôme Mariette, Fabrice Rossi, Madalina Olteanu, Nathalie Villa-Vialaneix |
| 2017 | Acceleration of Prototype Based Models with Cascade Computation. Cem Karaoguz, Alexander Gepperth |
| 2017 | Active learning strategy for CNN combining batchwise Dropout and Query-By-Committee. Melanie Ducoffe, Frédéric Precioso |
| 2017 | Advanced query strategies for Active Learning with Extreme Learning Machines. Anton Akusok, Emil Eirola, Yoan Miché, Andrey Gritsenko, Amaury Lendasse |
| 2017 | Algebraic multigrid support vector machines. Ehsan Sadrfaridpour, Sandeep Jeereddy, Ken Kennedy, André Luckow, Talayeh Razzaghi, Ilya Safro |
| 2017 | Algorithmic challenges in big data analytics. Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos |
| 2017 | An EM transfer learning algorithm with applications in bionic hand prostheses. Benjamin Paassen, Alexander Schulz, Janne Hahne, Barbara Hammer |
| 2017 | Anomaly detection and characterization in smart card logs using NMF and Tweets. Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari |
| 2017 | Application of Tensor and Matrix Completion on Environmental Sensing Data. Michalis Giannopoulos, Sofia Savvaki, Grigorios Tsagkatakis, Panagiotis Tsakalides |
| 2017 | Approximate operations in Convolutional Neural Networks with RNS data representation. Valentina Arrigoni, Beatrice Rossi, Pasqualina Fragneto, Giuseppe Desoli |
| 2017 | Approximated Neighbours MinHash Graph Node Kernel. Nicolò Navarin, Alessandro Sperduti |
| 2017 | Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. Stephan Baier, Sigurd Spieckermann, Volker Tresp |
| 2017 | Automatic crime report classi cation through a weightless neural network. Rafael Adnet Pinho, Walkir Brito, Cláudia Lage Rebello da Motta, Priscila Lima |
| 2017 | Biomedical data analysis in translational research: integration of expert knowledge and interpretable models. Gyan Bhanot, Michael Biehl, Thomas Villmann, Dietlind Zühlke |
| 2017 | Bridging deep and kernel methods. Lluís Belanche, Marta R. Costa-jussà |
| 2017 | Collaborative filtering with neural networks. Josef Feigl, Martin Bogdan |
| 2017 | Comparison of adaptive MCMC methods. Edna Milgo, Nixon K. Ronoh, Peter Waiganjo Wagacha, Bernard Manderick |
| 2017 | Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features. Adrian Ion-Margineanu, Sofie Van Cauter, Diana Maria Sima, Frederik Maes, Stefan Sunaert, Uwe Himmelreich, Sabine Van Huffel |
| 2017 | Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders. Sreejita Ghosh, Elizabeth Sarah Baranowski, Rick van Veen, Gert-Jan de Vries, Michael Biehl, Wiebke Arlt, Peter Tiño, Kerstin Bunte |
| 2017 | Complex activity patterns generated by short-term synaptic plasticity. Bulcsú Sándor, Claudius Gros |
| 2017 | Criticality in Biocomputation. Tjeerd Olde Scheper |
| 2017 | Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure. Bruno Ordozgoiti, Alberto Mozo, Sandra Gómez Canaval, Udi Margolin, Elisha J. Rosensweig, Itai Segall |
| 2017 | Degrees of Freedom in Regression Ensembles. Henry W. J. Reeve, Gavin Brown |
| 2017 | Detection of non-recurrent road traffic events based on clustering indicators. Pierre-Antoine Laharotte, Romain Billot, Nour-Eddin El Faouzi |
| 2017 | Distance metric learning: a two-phase approach. Bac Nguyen, Carlos Morell, Bernard De Baets |
| 2017 | Dropout Prediction at University of Genoa: a Privacy Preserving Data Driven Approach. Luca Oneto, Anna Siri, Gianvittorio Luria, Davide Anguita |
| 2017 | ELM Preference Learning for Physiological Data. Davide Bacciu, Michele Colombo, Davide Morelli, David Plans |
| 2017 | ELM vs. WiSARD: a performance comparison. Luiz F. R. Oliveira, Felipe M. G. França |
| 2017 | Efficient Neural-based patent document segmentation with Term Order Probabilities. Danilo Silva de Carvalho, Minh-Le Nguyen |
| 2017 | Environmental signal processing: new trends and applications. Matthieu Puigt, Gilles Delmaire, Gilles Roussel |
| 2017 | Extracting urban water usage habits from smart meter data: a functional clustering approach. Nicolas Cheifetz, Allou Samé, Zineb Sabir, Anne-Claire Sandraz, Cédric Féliers |
| 2017 | Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning. Michele Donini, Nicolò Navarin, Ivano Lauriola, Fabio Aiolli, Fabrizio Costa |
| 2017 | Feature Extraction and Learning for RSSI based Indoor Device Localization. Stavros Timotheatos, Grigorios Tsagkatakis, Panagiotis Tsakalides, Panos E. Trahanias |
| 2017 | Feature Extraction for On-Road Vehicle Detection Based on Support Vector Machine. Samuel Giatti Silva Filho, Roberto Zanetti Freire, Leandro dos Santos Coelho |
| 2017 | Feature Relevance Bounds for Linear Classification. Christina Göpfert, Lukas Pfannschmidt, Barbara Hammer |
| 2017 | Fine-grained event learning of human-object interaction with LSTM-CRF. Tuan Do, James Pustejovsky |
| 2017 | Fisher memory of linear Wigner echo state networks. Peter Tiño |
| 2017 | Fusion of Stereo Vision for Pedestrian Recognition using Convolutional Neural Networks. Danut Ovidiu Pop, Alexandrina Rogozan, Fawzi Nashashibi, Abdelaziz Bensrhair |
| 2017 | Generalization Performances of Randomized Classifiers and Algorithms built on Data Dependent Distributions. Luca Oneto, Sandro Ridella, Davide Anguita |
| 2017 | Hierarchical Combination of Video Features for Personalised Pain Level Recognition. Patrick Thiam, Viktor Kessler, Friedhelm Schwenker |
| 2017 | High dimensionality voltammetric biosensor data processed with artificial neural networks. Andreu González-Calabuig, Georgina Faura, Manel del Valle |
| 2017 | Hyper-spectral frequency selection for the classification of vegetation diseases. Klaas Dijkstra, Jaap van de Loosdrecht, Lambert Schomaker, Marco A. Wiering |
| 2017 | Imitation learning for a continuum trunk robot. Milad Malekzadeh Shafaroudi, Jeffrey F. Queißer, Jochen J. Steil |
| 2017 | Impact of the initialisation of a blind unmixing method dealing with intra-class variability. Charlotte Revel, Yannick Deville, Véronique Achard, Xavier Briottet |
| 2017 | Indoor air pollutant sources using Blind Source Separation Methods. Rachid Ouaret, Anda Ionescu, Olivier Ramalho, Yves Candau |
| 2017 | Invariant representations of images for better learning. Muthuvel Murugan Issakkimuthu, K. V. Subrahmanyam |
| 2017 | Investigating optical transmission error correction using wavelet transforms. Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun |
| 2017 | Large-scale nonlinear dimensionality reduction for network intrusion detection. Yasir Hamid, Ludovic Journaux, John Aldo Lee, Lucile Sautot, Nabi Bushra, M. Sugumaran |
| 2017 | Latent variable analysis in hospital electric power demand using non-negative matrix factorization. Diego García-Pérez, Ignacio Díaz Blanco, Daniel Pérez, Abel Alberto Cuadrado Vega, Manuel Domínguez-González |
| 2017 | Learning Semantic Prediction using Pretrained Deep Feedforward Networks. Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke |
| 2017 | Learning convolutional neural network to maximize Pos@Top performance measure. Yanyan Geng, Ru-Ze Liang, Weizhi Li, Jingbin Wang, Gaoyuan Liang, Chenhao Xu, Jingyan Wang |
| 2017 | Learning dot-product polynomials for multiclass problems. Ivano Lauriola, Michele Donini, Fabio Aiolli |
| 2017 | Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns. Eyal Ben Zion, Boaz Lerner |
| 2017 | Learning null space projections fast. Jeevan Manavalan, Matthew Howard |
| 2017 | Learning sparse models of diffusive graph signals. Shuyu Dong, Dorina Thanou, Pierre-Antoine Absil, Pascal Frossard |
| 2017 | Local Lyapunov Exponents of Deep RNN. Claudio Gallicchio, Alessio Micheli, Luca Silvestri |
| 2017 | Moving Least Squares Support Vector Machines for weather temperature prediction. Zahra Karevan, Yunlong Feng, Johan A. K. Suykens |
| 2017 | Multiscale Spatio-Temporal Data Aggregation and Mapping for Urban Data Exploration. Anaïs Rémy, Etienne Côme |
| 2017 | Mutual information for improving the efficiency of the SCH algorithm. Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown |
| 2017 | Myoelectrical signal classification based on S transform and two-directional 2DPCA. Hong-Bo Xie, Hui Liu |
| 2017 | Non-negative decomposition of geophysical dynamics. Manuel Lopez-Radcenco, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot, Ronan Fablet |
| 2017 | Non-negative matrix factorization as a pre-processing tool for travelers temporal profiles clustering. Léna Carel, Pierre Alquier |
| 2017 | Outlining a simple and robust method for the automatic detection of EEG arousals. Isaac Fernández-Varela, Diego Álvarez-Estévez, Elena Hernández-Pereira, Vicente Moret-Bonillo |
| 2017 | POKer: a Partial Order Kernel for Comparing Strings with Alternative Substrings. Maryam Abdollahyan, Fabrizio Smeraldi |
| 2017 | Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin |
| 2017 | Physical activity recognition from sub-bandage sensors using both feature selection and extraction. Eleonora D'Andrea, Fabio Di Francesco, Valentina Dini, Beatrice Lazzerini, Marco Romanelli, Pietro Salvo |
| 2017 | Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation. Pierre-Yves Gousenbourger, Estelle M. Massart, Antoni Musolas, Pierre-Antoine Absil, Julien M. Hendrickx, Laurent Jacques, Youssef M. Marzouk |
| 2017 | Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks. Wolfgang Groß, Sascha Lange, Joschka Bödecker, Manuel Blum |
| 2017 | Prediction of preterm infant mortality with Gaussian process classification. Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson |
| 2017 | Processing, mining and visualizing massive urban data. Pierre Borgnat, Etienne Côme, Latifa Oukhellou |
| 2017 | Pseudo-analytical solutions for stochastic options pricing using Monte Carlo simulation and Breeding PSO-trained neural networks. Sam Palmer, Denise Gorse |
| 2017 | Random projection initialization for deep neural networks. Piotr Iwo Wójcik, Marcin Kurdziel |
| 2017 | Randomized Machine Learning Approaches: Recent Developments and Challenges. Claudio Gallicchio, José David Martín-Guerrero, Alessio Micheli, Emilio Soria-Olivas |
| 2017 | Real-time convolutional networks for sonar image classification in low-power embedded systems. Matias Valdenegro-Toro |
| 2017 | Reducing variance due to importance weighting in covariate shift bias correction. Van-Tinh Tran, Alex Aussem |
| 2017 | Scalable Hybrid Deep Neural Kernel Networks. Siamak Mehrkanoon, Andreas Zell, Johan A. K. Suykens |
| 2017 | Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martínez-Rego |
| 2017 | Scholar Performance Prediction using Boosted Regression Trees Techniques. Bernardo Stearns, Fábio Medeiros Rangel, Flavio Rangel, Fabrício Firmino de Faria, Jonice Oliveira |
| 2017 | Solving Inverse Source Problems for Sources with Arbitrary Shapes using Sensor Networks. John Murray-Bruce, Pier Luigi Dragotti |
| 2017 | Spikes as regularizers. Anders Søgaard |
| 2017 | Structure optimization for deep multimodal fusion networks using graph-induced kernels. Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor |
| 2017 | Support vector components analysis. Michiel van der Ree, Jos B. T. M. Roerdink, Christophe Phillips, Gaëtan Garraux, Eric Salmon, Marco A. Wiering |
| 2017 | Supporting generative models of spatial behavior by user interaction. Ronny Hug, Wolfgang Hübner, Michael Arens |
| 2017 | The Conjunctive Disjunctive Node Kernel. Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa |
| 2017 | The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. Patrick O. Glauner, Manxing Du, Victor Paraschiv, Andrey Boytsov, Isabel Lopez Andrade, Jorge Augusto Meira, Petko Valtchev, Radu State |
| 2017 | TimeNet: Pre-trained deep recurrent neural network for time series classification. Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff |
| 2017 | Training convolutional networks with weight-wise adaptive learning rates. Alan Mosca, George D. Magoulas |
| 2017 | Uncertain photometric redshifts via combining deep convolutional and mixture density networks. Antonio D'Isanto, Kai Lars Polsterer |
| 2017 | Using degree constrained gravity null-models to understand the structure of journeys' networks in bicycle sharing systems. Rémy Cazabet, Pierre Borgnat, Pablo Jensen |
| 2017 | Viral initialization for spectral clustering. Vahan Petrosyan, Alexandre Proutière |
| 2017 | WiSARDrp for Change Detection in Video Sequences. Massimo De Gregorio, Maurizio Giordano |