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COM.ONIXSUITE.9782875870667 03 02 i6doc 01 SKU PDF98777 02 2875870661 03 9782875870667 15 9782875870667 00 EA E107 01 01 ESANN 2019 - Proceedings 27th 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 Classification and Bayesian learning Conditional BRUNO: a neural process for exchangeable labelled data I. Korshunova, Y. Gal, A. Gretton, J. Dambre Interpretable dynamics models for data-efficient reinforcement learning M. Kaiser, C. Otte, T. Runkler, C. H. Ek PAC-Bayes and Fairness: Risk and Fairness Bounds on Distribution Dependent Fair Priors L. Oneto, M. Donini, M. Pontil DropConnect for Evaluation of Classification Stability in Learning Vector Quantization J. Ravichandran, S. Saralajew, T. Villmann Pixel-wise Conditioning of Generative Adversarial Networks C. Ruffino, R. Hérault, E. Laloy, G. Gasso Committees as Artificial Organisms - Evolution and Adaptation R. Alamino Towards a device-free passive presence detection system with Bluetooth Low Energy beacons M. Münch, K. Huffstadt, F.-M. Schleif Defending against poisoning attacks in online learning settings G. Collinge, E. C. Lupu, L. Muñoz-González Hybrid vibration signal monitoring approach for rolling element bearings J. Kansanaho, T. Kärkkäinen Modal sense classification with task-specific context embeddings B. Li, M. Dehouck, P. Denis Adversarial robustness of linear models: regularization and dimensionality I. Megyeri, I. Hegedus, M. Jelasity A Simple and Effective Scheme for Data Pre-processing in Extreme Classification S. Khandagale, R. Babbar MAP best performances prediction for endurance runners D. de Smet d'Olbecke, M. Francaux, L. Baijot, M. Verleysen TrIK-SVM : an alternative decomposition for kernel methods in Krein spaces G. Loosli Embeddings and Representation Learning for Structured Data Embeddings and Representation Learning for Structured Data B. Paaßen, C. Gallicchio, A. Micheli, A. Sperduti Graph generation by sequential edge prediction D. Bacciu, A. Micheli, P. Marco On the definition of complex structured feature spaces N. Navarin, D. V. Tran, A. Sperduti Deep Weisfeiler-Lehman assignment kernels via multiple kernel learning N. M. Kriege Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions F. Mirus, P. Blouw, S. Terrence, J. Conradt Efficient learning of email similarities for customer support J. Bakker, K. Bunte Nonnegative matrix factorization with polynomial signals via hierarchical alternating least squares C. Hautecoeur, F. Glineur Deep learning and CNN Deep Embedded SOM: joint representation learning and self-organization F. Forest, L. Mustapha, A. Hanane, J. Lacaille Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients E. Grisan, A. Zandonà, B. Di Camillo Detecting adversarial examples with inductive Venn-ABERS predictors J. Peck, B. Goossens, Y. Saeys Learning Rich Event Representations and Interactions for Temporal Relation Classification O. Pandit, P. Denis, L. Ralaivola L1-norm double backpropagation adversarial defense I. Seck, G. Loosli, S. Canu Application of deep neural networks for automatic planning in radiation oncology treatments A. Barragan Montero, D. Nguyen, W. Lu, M.-H. Lin, X. Geets, E. Sterpin, S. Jiang Conditional WGAN for grasp generation F. Patzelt, R. Haschke, H. Ritter Multilingual short text categorization using convolutional neural network L. Enamoto, L. Weigang Fast and reliable architecture selection for convolutional neural networks L. Hahn, L. Roese-Koerner, K. Friedrichs, A. Kummert On the Speedup of Deep Reinforcement Learning Deep Q-Networks (RL-DQNs) A. Albaghajati, L. Ghouti Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems K. M. Mishra, T. Krogerus, K. Huhtala Detecting Ghostwriters in High Schools M. Stavngaard, A. Sørensen, S. Lorenzen, N. Hjuler, S. Alstrup Design of Power-Efficient FPGA Convolutional Cores with Approximate Log Multiplier L. Tavares Oliveira, M. S. Kim, A. Del Barrio García, N. Bagherzadeh, R. Menotti Improving Pedestrian Recognition using Incremental Cross Modality Deep Learning D. O. Pop, A. Rogozan, F. Nashashibi, A. Bensrhair Machine learning in research and development of new vaccines products: opportunities and challenges P. Smyth, G. De Lannoy, M. Von Stosch, A. Pysik, A. Khan Real-time Convolutional Neural Networks for emotion and gender classification M. Valdenegro-Toro, O. Arriaga, P. Plöger Learning methods and optimization Experimental study of the neuron-level mechanisms emerging from backpropagation S. Carbonnelle, C. De Vleeschouwer Learning multimodal fixed-point weights using gradient descent L. Enderich, F. Timm, L. Rosenbaum, W. Burgard Preconditioned conjugate gradient algorithms for graph regularized matrix completion S. Dong, P.-A. Absil, K. Gallivan Direct calculation of out-of-sample predictions in multi-class kernel FDA T. Matthias Complex Valued Gated Auto-encoder for Video Frame Prediction N. Azizi, N. Wandel, S. Behnke On overfitting of multilayer perceptrons for classification J. Rynkiewicz Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and locality M. Luca, B. Enrico Sparse minimal learning machine using a diversity measure minimization M. Dias, L. Sousa, A. Rocha Neto, C. Mattos, J. Gomes, T. Kärkkäinen Minimax center to extract a common subspace from multiple datasets E. Renard, P.-A. Absil, K. Gallivan Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results E. Massart, P.-Y. Gousenbourger, T. S. Nguyen, T. Stykel, P.-A. Absil Progress Towards Graph Optimization: Efficient Learning of Vector to Graph Space Mappings S. Mautner, R. Backofen, F. Costa 60 Years of Weightless Neural Systems Systems with 'subjective feelings' - the perspective from weightless automata I. Aleksander, H. Morton Prediction of palm oil production with an enhanced n-Tuple Regression Network L. Lusquino Filho, L. Oliveira, A. Lima Filho, G. Guarisa, P. Machado Vieira Lima, F. Maia Galvão França Memory Efficient Weightless Neural Network using Bloom Filter L. Santiago de Araújo, L. Dias Verona, F. Medeiros Rangel, F. Firmino de Faria, D. Sadoc Menasche, W. Caarls, M. Breternitz, S. Kundu, P. Machado Vieira Lima, F. Maia Galvão França A WNN model based on Probabilistic Quantum Memories P.G.M. dos Santos, R. S. Sousa, A. J. da Silva Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest E. Ribeiro, V. Torres, B. James, M. Braga, E. Shiguemori, H. Velho, L. Torres, A. Braga An evolutionary approach for optimizing weightless neural networks M. Giordano, M. De Gregorio Modeling Sparse Data as Input for Weightless Neural Network L. Kopp, J. B. Filho, P. Machado Vieira Lima, C. de Farias Domain adaptation and learning Multi-target feature selection through output space clustering K. Sechidis, E. Spyromitros-Xioufis, I. Vlahavas Feature relevance bounds for ordinal regression L. Pfannschmidt, J. Jakob, M. Biehl, P. Tino, B. Hammer User-steering interpretable visualization with probabilistic principal components analysis V. M. Vu, B. Frénay Metric learning with submodular functions J. Pan, H. Le Capitaine Fusing Features based on Signal Properties and TimeNet for Time Series Classification A. Ukil, P. Malhotra, S. Bandyopadhyay, T. Bose, I. Sahu, A. Mukherjee, L. Vig, A. Pal, G. Shroff Metric learning with relational data J. Pan, H. Le Capitaine and Algorithm Selection for Capacitated Vehicle Routing Problems J. Rasku, N. Musliu, T. Kärkkäinen Topic-based historical information selection for personalized sentiment analysis S. Guo, S. Höhn, C. Schommer Bridging face and sound modalities through domain adaptation metric learning C. Athanasiadis, E. Hortal, S. Asteriadis Model selection for Extreme Minimal Learning Machine using sampling T. Kärkkäinen Knowledge Discovery in Quarterly Financial Data of Stocks Based on the Prime Standard using a Hybrid of a Swarm with SOM M. Thrun Dimensionality reduction in a hydraulic valve positioning application T. Wiens Class-aware t-SNE: cat-SNE C. De Bodt, D. Mulders, D. Lopez-Sanchez, M. Verleysen, J. Lee Variational auto-encoders with Student's t-prior N. Abiri, M. Ohlsson Streaming data analysis, concept drift and analysis of dynamic data sets Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets A. Bifet, B. Hammer, F.-M. Schleif Online Bayesian Shrinkage Regression W. Jamil, A. Bouchachia Reactive Soft Prototype Computing for frequent reoccurring Concept Drift C. Raab, M. Heusinger, F.-M. Schleif Beta Distribution Drift Detection for Adaptive Classifiers L. Fleckenstein, S. Kauschke, J. Fürnkranz Importance of user inputs while using incremental learning to personalize human activity recognition models P. Siirtola, H. Koskimäki, J. Röning Societal Issues in Machine Learning: When Learning from Data is Not Enough Societal Issues in Machine Learning: When Learning from Data is Not Enough D. Bacciu, B. Biggio, P. Lisboa, J. D. Martìn, L. Oneto, A. Vellido Privacy Preserving Synthetic Health Data A. Yale, S. Dash, R. Dutta, I. Guyon, A. Pavao, K. Bennett Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them? C. Ducuing, L. Oneto, C. Renzo Dynamic fairness - Breaking vicious cycles in automatic decision making B. Paaßen, A. Bunge, C. Hainke, L. Sindelar, M. Vogelsang Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction F. Crecchi, D. Bacciu, B. Biggio Deep RL for autonomous robots: limitations and safety challenges O. Andersson, P. Doherty Explaining classification systems using sparse dictionaries A. Apicella, F. Isgro, R. Prevete, A. Sorrentino, G. Tamburrini Statistical physics of learning and inference M. Biehl, N. Caticha, M. Opper, T. Villmann Trust, law and ideology in a NN agent model of the US Appellate Courts N. Caticha, F. Alves On-line learning dynamics of ReLU neural networks using statistical physics techniques M. Straat, M. Biehl Noise helps optimization escape from saddle points in the neural dynamics F. Ying, Y. Zhaofei, C. Feng Image processing and transfer learning Deep hybrid approach for 3D plane segmentation F. Gomez Marulanda, P. Libin, T. Verstraeten, A. Nowe Visualizing image classification in fourier domain F. Franzen, C. Yuan Blind-spot network for image anomaly detection: A new approach to diabetic retinopathy screening S. Sutradhar, J. Rouco, M. Ortega A document detection technique using convolutional neural networks for optical character recognition systems L. Dobai, M. Teletin Learning super-resolution 3D segmentation of plant root MRI images from few examples A. O. Uzman, J. Horn, S. Behnke Analyzing spatial dissimilarities in high-resolution geo-data : a case study of four European cities J. Randon-Furling, W. Clark, M. Olteanu Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans I. Otero Coto, P. F. Lizancos Vidal, J. de Moura, J. Novo, M. Ortega A best-first branch-and-bound search for solving the transductive inference problem using support vector machines H. Xavier Araújo, R. Fonseca Neto, S. Moraes Villela LEAP nets for power grid perturbations B. Donnot, B. Donon, I. Guyon, L. Zhengying, A. Marot, P. Panciatici, M. Schoenauer Active one-shot learning with Prototypical Networks R. Boney, A. Ilin . Transfer Learning for transferring machine-learning based models among hyperspectral sensors P. Menz, A. Backhaus, U. Seiffert Time series and signal processing Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series B. Hosseini, B. Hammer Tensor factorization to extract patterns in multimodal EEG data D. Mulders, C. De Bodt, N. Lejeune, J. Lee, A. Mouraux, M. Verleysen Beyond Pham's algorithm for joint diagonalization P. Ablin, J.-F. Cardoso, A. Gramfort Frequency Domain Transformer Networks for Video Prediction H. Farazi, S. Behnke Comparison between DeepESNs and gated RNNs on multivariate time-series prediction C. Gallicchio, A. Micheli, L. Pedrelli Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction M. Maggiolo, G. Spanakis Using Deep Learning and Evolutionary Algorithms for Time Series Forecasting R. Thomazi Gonzalez, D. Augusto Couto Barone Lightweight autonomous bayesian optimization of Echo-State Networks C. Luca, G. Franco, M. D. Santambrogio Time series modelling of market price in real-time bidding M. Du, C. Hammerschmidt, G. Varisteas, R. State, M. Brorsson, Z. Zhang Dynamical systems and reinforcement learning Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture F. Mirus, B. Zorn, J. Conradt Training networks separately on static and dynamic obstacles improves collision avoidance during indoor robot navigation V. Schmuck, D. Meredith Human feedback in continuous actor-critic reinforcement learning C. Millán, B. Fernandes, F. Cruz Chasing the Echo State Property C. Gallicchio Author index Committees 01 00 03 02 01 D502 02 2823 03 1816 06 822ebd0019c70e1602dcd9160d1135a5 07 955843 https://i6doc.com/resources/titles/28001100931280/images/fd348179ec677c5560d4cd9c3ffb6cd9/HIGHQ/9782875870667.jpg 17 20190328T1041Z 02 01 D502 02 194 03 125 06 d6a11ef4f9be1948c7d867d568a1d0ab 07 35658 https://i6doc.com/resources/titles/28001100931280/images/fd348179ec677c5560d4cd9c3ffb6cd9/THUMBNAIL/9782875870667.jpg 17 20190328T1041Z ESANN 01 ESANN 04 01 20190328 11 20190328 02 WORLD 02 01 GCOI 28001100931280 06 03 9782875870650