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COM.ONIXSUITE.9782875870483 03 02 i6doc 01 SKU PDF96640 02 2875870483 03 9782875870483 15 9782875870483 00 EA E107 01 01 ESANN 2018 - Proceedings 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 1 A01 01 Onixsuite Contributor ID 20296 Collectif 01 eng 10 TEC000000 12 T 01 06 04 00 Deep learning and image processing A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition H. Siqueira, P. Barros, S. Magg, C. Weber, S. Wermter Interpretation of convolutional neural networks for speech regression from electrocorticography M. Angrick, C. Herff, G. Johnson, J. Shih, D. Krusienski, T. Schultz Transferring style in motion capture sequences with adversarial learning Q. Wang, M. Chen, T. Artières, L. Denoyer Properties of adv-1 – Adversarials of Adversarials N. Worzyk, O. Kramer An analysis of subtask-dependency in robot command interpretation with dilated CNNs M. Eppe, T. Alpay, F. Abawi, S. Wermter Image retrieval and ranking through Deep Comparative Neural Networks A. Cherif, S. Jouili Incremental learning with deep neural networks using a test-time oracle A. Gepperth, S. Abdullah Gondal Image-to-Text Transduction with Spatial Self-Attention S. Springenberg, E. Lakomkin, C. Weber, S. Wermter Hierarchical Recurrent Filtering for Fully Convolutional DenseNets J. Wagner, V. Fischer, M. Herman, S. Behnke Towards cognitive automotive environment modelling: reasoning based on vector representations F. Mirus, T. C. Stewart, J. Conradt Inferencing based on unsupervised learning of disentangled representations T. Hinz, S. Wermter Dynamic autonomous image segmentation based on Grow Cut A.-I. Marinescu, Z. Bálint, L. Dioşan, A. Andreica P. Springstübe, S. Heinrich, S. Wermter Active Learning based on Transfer Learning Techniques for Image Classification D. Onita, A. Birlutiu Near-optimal facial emotion classification using a WiSARD-based weightless system L. Lusquino Filho, F. França, P. Lima Spatial pooling as feature selection method for object recognition M. Kirtay, L. Vannucci, U. Albanese, A. Ambrosano, E. Falotico, C. Laschi Interaction and User Integration in Machine Learning for Information Visualisation Information visualisation and machine learning: latest trends towards convergence B. Frenay, B. Dumas, J. A. Lee VisCoDeR: A tool for visually comparing dimensionality reduction algorithms R. Cutura, S. Holzer, M. Aupetit, M. Sedlmair G-Rap: interactive text synthesis using recurrent neural network suggestions U. Schlegel, E. Cakmak, J. Buchmüller, D. Keim Interactive dimensionality reduction of large datasets using interpolation I. Diaz-Blanco, D. Perez, A. A. Cuadrado, D. Garcia-Perez, D. Manuel Nonlinear dimensionality reduction Perplexity-free t-SNE and twice Student tt-SNE C. de Bodt, D. Mulders, M. Verleysen, J. A. Lee Generative Kernel PCA J. Schreurs, J. Suykens Extensive assessment of Barnes-Hut t-SNE C. de Bodt, D. Mulders, M. Verleysen, J. A. Lee Understanding wafer patterns in semiconductor production with variational auto-encoders T. Santos, R. Kern Feature noise tuning for resource efficient Bayesian Network Classifiers L. I. Galindez Olascoaga, J. Vlasselaer, W. Meert, M. Verhelst Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach A. Villmann, M. Kaden, S. Saralajew, W. Hermann, T. Villmann Behaviour-based working memory capacity classification using recurrent neural networks M. Salous, F. Putze Structuring and Solving Multi-Criteria Decision Making Problems using Artificial Neural Networks: a smartphone recommendation case V. Amaral De Sousa, A. Simonofski, M. Snoeck, I. Jureta Efficient accuracy estimation for instance-based incremental active learning C. Limberg, H. Wersing, H. Ritter Boolean kernels for interpretable kernel machines M. Polato, F. Aiolli The minimum effort maximum output principle applied to Multiple Kernel Learning I. Lauriola, M. Polato, F. Aiolli One-class Autoencoder approach to classify Raman spectra outliers K. Hofer-Schmitz, P.-H. Nguyen, K. Berwanger Radar Based Pedestrian Detection using Support Vector Machine and the Micro Doppler Effect J. V. Bruneti Severino, A. Zimmer, L. dos Santos Coelho, R. Zanetti Freire Opposite neighborhood: a new method to select reference points of minimal learning machines M. Dias, L. Sousa, A. Rocha Neto, A. Souza Júnior A neural network cost function for highly class-imbalanced data sets D. Twomey, D. Gorse Self-learning assembly systems during ramp-up R. Schönherr, M. Knaller, M. Philipp Feasibility based Large Margin Nearest Neighbor metric learning B. Hosseini, B. Hammer Combining latent tree modeling with a random forest-based approach, for genetic association studies C. Sinoquet, K. Mekhnacha Graph based neural networks for automatic classification of multiple sclerosis clinical courses F. Calimeri, A. Marzullo, C. Stamile, G. Terracina Regression and recommendation systems Extreme Minimal Learning Machine T. Kärkkäinen Learning with a Fisher surrogate loss in a small data regime M. Djerrab, A. Garcia, F. D'Alché-Buc Fast Power system security analysis with Guided Dropout B. Donnot, I. Guyon, A. Marot, M. Schoenauer, P. Panciatici Neural Networks for Implicit Feedback Datasets J. Feigl, M. Bogdan Regularize and explicit collaborative filtering with textual attention C.-E. Dias, V. Guigue, P. Gallinari Adaptive random forests for data stream regression H. M. Gomes, J. P. Barddal, L. E. Boiko, A. Bifet Cache-efficient Gradient Descent Algorithm I. Chakroun, T. Vander Aa, T. Ashby Sensitivity analysis for predictive uncertainty S. Depeweg, J. M. Hernández-Lobato, S. Udluft, T. Runkler Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path A. Catalina, C. M. Alaíz, J. R. Dorronsoro Shallow and Deep models for transfer learning and domain adaptation Shallow and Deep Models for Domain Adaptation problems S. Mehrkanoon, M. Blaschko, J. Suykens Unsupervised domain adaptation of deep object detectors D. Majumdar, V. Namboodiri Machine Learning and Data Analysis in Astroinformatics Machine learning and data analysis in astroinformatics M. Biehl, K. Bunte, G. Longo, P. Tino Anomaly detection in star light curves using hierarchical Gaussian processes H. Chen, T. Diethe, N. Twomey, P. Flach Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders P. Huijse, N. Astorga, P. Estevez, G. Pignata Globular Cluster Detection in the Gaia Survey M. Mohammadi, R. Peletier, F.-M. Schleif, N. Petkov, K. Bunte Stellar formation rates in galaxies using machine learning models M. Delli Veneri, S. Cavuoti, M. Brescia, G. Riccio, G. Longo Prototype-based analysis of GAMA galaxy catalogue data A. Nolte, L. Wang, M. Biehl Deep Learning in Bioinformatics and Medicine Bioinformatics and medicine in the era of deep learning D. Bacciu, P. Lisboa, J. D. Martin, R. Stoean, A. Vellido Controlling biological neural networks with deep reinforcement learning J. Wülfing, S. Saseendran Kumar, J. Boedecker, M. Riedmiller, U. Egert Learning compressed representations of blood samples time series with missing data F. M. Bianchi, K. Ø. Mikalsen, R. Jenssen Sleep staging with deep learning: a convolutional model I. Fernández-Varela, D. Athanasakis, S. Parsons, E. Hernández-Pereira, V. Moret-Bonillo Interpreting deep learning models for ordinal problems J. P. Amorim, I. Domingues, P. H. Abreu, J. Santos Non-negative Matrix Factorization for Medical Imaging M. Atencia, R. Stoean Multi-omics data integration using cross-modal neural networks I. Bica, P. Velickovic, H. Xiao, P. Lio' DEEP: decomposition feature enhancement procedure for graphs V. D. Tran, N. Navarin, A. Sperduti Deep Echo State Networks for Diagnosis of Parkinson's Disease C. Gallicchio, A. Micheli, L. Pedrelli Capturing variabilities from Computed Tomography images with Generative Adversarial Networks (GANs) U. Javaid, J. A. Lee Pollen grain recognition using convolutional neural network N. Khanzhina, E. Putin, A. Filchenkov, E. Zamyatina Randomized Neural Networks Randomized Recurrent Neural Networks C. Gallicchio, A. Micheli, P. Tino Bidirectional deep-readout echo state networks F. M. Bianchi, S. Scardapane, S. Løkse, R. Jenssen Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir A. Rodan, P. A. Castillo, H. Faris, A. M. Al-Zoubi, A.M. Mora, H. Jawazneh Estimation of the Human Concentration using Echo State Networks H. Dashdamirov, S. Basterrech Quantifying the Reservoir Quality using Dimensionality Reduction Techniques T. Burianek, S. Basterrech Clustering and feature selection Scalable robust clustering method for large and sparse data J. Hämäläinen, T. Kärkkäinen, T. Rossi Clustering with decision trees: divisive and agglomerative approach L. Castin, B. Frenay Comparison of cluster validation indices with missing data M. Niemelä, S. Äyrämö, T. Kärkkäinen Efficient approximate representations for computationally expensive features R. Santos-Rodriguez, N. Twomey Regularised maximum-likelihood inference of mixture of experts for regression and clustering B. T. Huynh, F. Chamroukhi Feature selection for label ranking N. Sánchez-Maroño, B. Pérez-Sánchez A novel filter algorithm for unsupervised feature selection based on a space filling measure M. Laib, M. Kanevski Mathematical aspects of learning, and reinforcement learning Asymptotic statistics for multilayer perceptron with ReLu hidden units J. Rynkiewicz Local Rademacher Complexity Machine L. Oneto, S. Ridella, D. Anguita A sharper bound on the Rademacher complexity of margin multi-category classifiers K. Musayeva, F. Lauer, Y. Guermeur Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic M. B. Hafez, M. Kerzel, C. Weber, S. Wermter A variable projection method for block term decomposition of higher-order tensors G. Olikier, P.-A. Absil, L. De Lathauwer Reinforcement Learning for High-Frequency Market Making Y.-S. Lim, D. Gorse Emerging trends in machine learning: beyond conventional methods and data Emerging trends in machine learning: beyond conventional methods and data L. Oneto, N. Navarin, M. Donini, D. Anguita Finding the most interpretable MDS rotation for sparse linear models based on external features A. Bibal, R. Marion, B. Frenay Mixture of Hidden Markov Model as Tree Encoder D. Bacciu, D. Castellana Set point thresholds from topological data analysis and an outlier detector A. Carrega Differential private relevance learning J. Brinkrolf, K. Berger, B. Hammer On aggregation in ranking median regression S. Clémençon, A. Korba Temporal transfer learning for drift adaptation D. Won, P. Jansen, J. Carbonell LANN-DSVD: A privacy-preserving distributed algorithm for machine learning O. Fontenla-Romero, B. Guijarro-Berdiñas, B. Pérez-Sánchez, M. Gómez-Casal Vector Field Based Neural Networks D. Vieira, F. Rangel, F. Firmino, J. Paixao Temporal data, sequences and incremental learning Non-Negative Tensor Dictionary Learning A. Traoré, M. Berar, A. Rakotomamonjy An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series M. A. Alves, P. Cândido de Lima e Silva, C. A. Severiano Junior, G. Linhares Vieira, F. Gadelha Guimarães, H. Javedani Sadaei Surprisal-based activation in recurrent neural networks T. Alpay, F. Abawi, S. Wermter K-spectral centroid: extension and optimizations B. Conan-Guez, A. Gély, L. Boudjeloud-Assala, A. Blansché Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithm A. Nahon, B. Lerner Meerkats-inspired Algorithm for Global Optimization Problems C. E. Klein, L. dos Santos Coelho Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence Paradigm C. E. Klein, V. Cocco Mariani, L. dos Santos Coelho Evolutionary Composition of Customized Fault Localization Heuristics D. de-Freitas, L.-J. Plinio, C. Camilo-Junior, R. Harrison Order Crossover for the Inventory Routing Problem M. S. Amri Sakhri, M. Tlili, H. Allaoui, O. Korbaa Person Identification and Discovery With Wrist Worn Accelerometer Data R. McConville, R. Santos-Rodriguez, N. Twomey CDTW-based classification for Parkinson's Disease diagnosis N. Khoury, F. Attal, Y. Amirat, A. Chibani, S. Mohammed Personalizing human activity recognition models using incremental learning P. Siirtola, H. Koskimäki, J. Röning Short-term Memory of Deep RNN C. Gallicchio Effect of context in swipe gesture-based continuous authentication on smartphones P. Siirtola, J. Komulainen, V. Kellokumpu Impact of Biases in Big Data Impact of Biases in Big Data P. Glauner, P. Valtchev, R. State Analysis of imputation bias for feature selection with missing data B. Seijo-Pardo, A. Alonso-Betanzos, K. Bennett, V. Bolon-Canedo, I. Guyon, J. Josse, M. Saeed Systematics aware learning : a case study in high energy physics V. Estrade, C. Germain, I. Guyon, D. Rousseau Optimization and metaheuristics Evolutionary RL for Container Loading S. Saikia, R. Verma, P. Agarwal, G. Shroff, L. Vig, A. Srinivasan Enhancement of a stochastic Markov-blanket framework with ant colony optimization, to uncover epistasis in genetic association studies C. Sinoquet, C. Niel Meerkats-inspired Algorithm for Global Optimization Problems C. E. Klein, L. dos Santos Coelho Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence Paradigm C. E. Klein, V. Cocco Mariani, L. dos Santos Coelho Evolutionary Composition of Customized Fault Localization Heuristics D. de-Freitas, L.-J. Plinio, C. Camilo-Junior, R. Harrison Order Crossover for the Inventory Routing Problem M. S. Amri Sakhri, M. Tlili, H. Allaoui, O. Korbaa 01 00 03 02 01 D502 02 2080 03 1400 06 5023e3eac948f3a3f84e77c56e93e2cb 07 485677 https://i6doc.com/resources/titles/28001100176760/images/0589dd536fd043ff3865f8223fef3030/HIGHQ/9782875870483.jpg 17 20200907T0843Z 02 01 D502 02 186 03 125 06 e79b06c053e19c695ffca24d747d3374 07 29475 https://i6doc.com/resources/titles/28001100176760/images/0589dd536fd043ff3865f8223fef3030/THUMBNAIL/9782875870483.jpg 17 20200907T0843Z ESANN 01 ESANN 04 01 20180322 11 20180322 02 WORLD 02 01 GCOI 28001100176760 06 03 9782875870490