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COM.ONIXSUITE.9782875870810 03 02 i6doc 01 SKU 102971 02 2875870815 03 9782875870810 15 9782875870810 02 01 00 BC 01 9.45 in 02 6.30 in 01 24 cm 02 16 cm 01 01 ESANN 2021 - Proceedings 29th European Symposium on Artificial Neutral Networks, Computational Intelligence and Machine Learning (online event) 1 01 eng 07 676 03 10 TEC000000 12 T 24 INTERNET Informatique 29 2012 3069 TECHNIQUES ET SCIENCES APPLIQUEES 29 2012 3193 INFORMATIQUE 01 06 03 00 Since 1993, ESANN has become a reference for researchers on fundamental and theoretical aspects of artificial neural networks, computational intelligence, machine learning and related topics. 04 00 Federated Learning – Methods, Applications and Beyond Federated Learning - Methods, Applications and beyond M. Heusinger, C. Raab, F. Rossi, F.-M. Schleif ...................................................... p. 1 Privacy-Preserving Kernel Computation For Vertically Partitioned Data M. Polato, A. Gallinaro, F. Aiolli .......................................................................... p. 11 Decay Momentum for Improving Federated Learning M. Fernandes, C. Silva, J. Arrais, A. Cardoso, B. Ribeiro .................................... p. 17 Continual Learning at the Edge: Real-Time Training on Smartphone Devices L. Pellegrini, V. Lomonaco, G. Graffieti, D. Maltoni ............................................ p. 23 Federated Learning Vector Quantization J. Brinkrolf, B. Hammer ........................................................................................ p. 29 Evaluation metrics, and concept drift Judging competitions and benchmarks: a candidate election approach A. Pavao, I. Guyon, M. Vaccaro ............................................................................ p. 35 Concept Drift Segmentation via Kolmogorov-Trees F. Hinder, B. Hammer ........................................................................................... p. 41 Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data V. Vaquet, P. Menz, U. Seiffert, B. Hammer .......................................................... p. 47 Predicting employee attrition with a more effective use of historical events A.-R. Korichi, H. Kheddouci, D. West ................................................................... p. 53 Enhash: A Fast Streaming Algorithm For Concept Drift Detection A. Jindal, P. Gupta, D. Sengupta, J. Jayadeva ...................................................... p. 59 Lifelong Learning from Event-based Data V. Gryshchuk, C. Weber, C. K. Loo, S. Wermter ................................................... p. 65 Sample efficient localization and stage prediction with autoencoders S. Hoch, S. Lange, J. Keuper ................................................................................. p. 71 Transfer learning in Bayesian optimization for the calibration of a beam line in proton therapy V. Hamaide, F. Glineur ......................................................................................... p. 77 Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation C. Raab, S. Saralajew, F.-M. Schleif ..................................................................... p. 83 Deep learning for graphs Deep learning for graphs D. Bacciu, F. M. Bianchi, B. Paassen, C. Alippi ................................................... p. 89 Dynamic Graph Echo State Networks D. Tortorella, A. Micheli ....................................................................................... p. 99 Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions E. J. Freitas do Nascimento, A. Souza, D. Mesquita ........................................... p. 105 Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting L. Hermes, B. Hammer, M. Schilling ................................................................... p. 111 Tangent Graph Convolutional Network L. Pasa, N. Navarin, A. Sperduti ......................................................................... p. 117 Transformers for Molecular Graph Generation T. Cofala, O. Kramer ........................................................................................... p. 123 Inductive learning for product assortment graph completion M. Trincavelli, H. Dukic, G. Deligiorgis, P. Sepe, D. Bacciu ............................. p. 129 Deep learning and image processing Evolutionary Deep Multi-Task Learning O. Kramer ............................................................................................................ p. 135 Semantic Prediction: Which One Should Come First, Recognition or Prediction? H. Farazi, J. Nogga, S. Behnke ............................................................................ p. 141 Deep Graph Convolutional Networks for Wind Speed Prediction T. Stańczyk, S. Mehrkanoon ................................................................................. p. 147 Benign overfitting of fully connected Deep Nets:A Sobolev space viewpoint S. Chretien, E. Caron-Parte ................................................................................ p. 153 Correlated Weights Neural Layer with external control S. Golak ............................................................................................................... p. 159 Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices D. Iglesias, J. de Moura, J. Novo, M. Ortega ...................................................... p. 165 Data-Efficient Training of High-Resolution Images in Medical Domain S. Kunde, A. Pandit, K. Mahajan, M. Sharma, R. Singhal, L. Vig ....................... p. 171 CAS-Net: A Novel Coronary Artery Segmentation Neural Network R. Hamdi, A. Kerkeni, M. H. Bedoui, A. Ben Abdallah ....................................... p. 177 Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers J. Treboux, R. Ingold, D. Genoud ........................................................................ p. 189 Cross-modal verification for 3D object detection H. ZHANG, A. Rogozan, A. Bensrhair ................................................................. p. 195 Fourier-based Video Prediction through Relational Object Motion M. Mosbach, S. Behnke........................................................................................ p. 201 Object Detection on Thermal Images: Performance of YOLOv4 Trained on Small Datasets M. Chaverot, M. Carré, M. Jourlin, A. Bensrhair, R. Grisel ............................... p. 207 Temperature as a Regularizer for Semantic Segmentation C. Kim, W.-S. Lee ................................................................................................ p. 213 Machine Learning for Measuring and Analyzing Online Social Communications Machine Learning for Measuring and Analyzing Online Social Communications C. Bronk, A. Lendasse, P. Lindner, D. S. Wallach, B. Hammer .......................... p. 219 Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis M. Lübbering, M. Pielka, K. Das, M. Gebauer, R. Ramamurthy, C. Bauckhage, R. Sifa .................................................................................................................. p. 227 Emotional Intensity Level Analysis of Speech Emotional Intensity Estimation M. Kawase, M. Nakayama ................................................................................... p. 233 Natural language processing Weightless Neural Networks for text classification using tf-idf A. Sorgente, M. De Gregorio, G. Vettigli ............................................................ p. 239 End-to-end Keyword Spotting using Xception-1d I. Vallés-Pérez, J. Gómez-Sanchis, M. Martinez-Sober, J. Vila-Francés, A.-J. Serrano López, E. Soria Olivas ................................................................... p. 245 Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters T. Luka, L. Soulier, D. Picard .............................................................................. p. 251 TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words A. Jain, S. Paliwal, M. Sharma, L. Vig ................................................................ p. 257 Sparse mixture of von Mises-Fisher distribution F. Barbaro, F. Rossi ............................................................................................ p. 263 Towards Robust Auxiliary Tasks for Language Adaptation G. Rocha, H. Lopes Cardoso ............................................................................... p. 269 Recurrent learning, and reinforcement learning Continual Learning with Echo State Networks A. Cossu, D. Bacciu, A. Carta, C. Gallicchio, V. Lomonaco ............................... p. 275 RecLVQ: Recurrent Learning Vector Quantization J. Ravichandran, T. Villmann, M. Kaden ............................................................ p. 281 Improvement on Generative Adversarial Network for Targeted Drug Design B. P. Santos, M. Abbasi, T. Pereira, B. Ribeiro, J. Arrais ................................... p. 287 Reservoir Computing by Discretizing ODEs C. Gallicchio ........................................................................................................ p. 293 Constraint optimization for Echo State Networks applied to satellite image forecasting J. J. Steil, Y. Lieder .............................................................................................. p. 299 Deep Echo State Networks for Functional Ambulation Categories Estimation L. Pedrelli, E. Bergamini, M. Tramontano, G. Vannozzi, A. Mannini ................. p. 305 An Algorithmic Approach to Establish a Lower Bound for the Size of Semiring Neural Networks M. Böhm, T. Schmid ............................................................................................. p. 311 Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors I. Matino, S. Dettori, V. Colla, K. Rechberger, N. Kieberger .............................. p. 317 Deep Learning Model for Context-Dependent Survival Analysis R. Langhendries, J. Lacaille ................................................................................ p. 323 Behavior Constraining in Weight Space for Offline Reinforcement Learning P. Swazinna, S. Udluft, D. Hein, T. Runkler ........................................................ p. 329 Multiobjective Reinforcement Learning in Optimized Drug Design M. Abbasi, T. Pereira, B. P. Santos, B. Ribeiro, J. Arrais ................................... p. 335 Density Independent Self-organized Support for Q-Value Function Interpolation in Reinforcement Learning A. Calba, A. Dutech, J. Fix .................................................................................. p. 341 Complex Data: Learning Trustworthily, Automatically, and with Guarantees Complex Data: Learning Trustworthily, Automatically, and with Guarantees L. Oneto, N. Navarin, B. Biggio, F. Errica, A. Micheli, F. Scarselli, M. Bianchini, A. Sperduti .................................................................................... p. 347 The Benefits of Adversarial Defence in Generalisation L. Oneto, S. Ridella, D. Anguita .......................................................................... p. 357 Slope: A First-order Approach for Measuring Gradient Obfuscation M. Pintor, L. Demetrio, G. Manca, B. Biggio, F. Roli ......................................... p. 363 Robust Malware Classification via Deep Graph Networks on Call Graph Topologies F. Errica, G. Iadarola, F. Martinelli, F. Mercaldo, A. Micheli ........................... p. 369 Boundary-Based Fairness Constraints in Decision Trees and Random Forests G. Nanfack, V. Delchevalerie, B. Frénay ............................................................ p. 375 Model selection NNBMSS: a Novel and Fast Method for Model Structure Selection A. Lendasse, K. Khan, E. Ratner ........................................................................ p. 381 Pruning Neural Networks with Supermasks V. Rolfs, M. Kerzel, S. Wermter ........................................................................... p. 387 Compact Neural Architecture Search for Local Climate Zones Classification R. Traore, A. Camero, X. Zhu .............................................................................. p. 393 Unsupervised learning Anomalous Cluster Detection in Large Networks with Diffusion-Percolation Testing C. Larroche, J. Mazel, S. Clémençon .................................................................. p. 399 Calliope - A Polyphonic Music Transformer A. Valenti, S. Berti, D. Bacciu ............................................................................. p. 405 Dynamic clustering and modeling of temporal data subject to common regressive effects L. Bonfils, A. Same, L. Oukhellou ........................................................................ p. 411 Stochastic quartet approach for fast multidimensional scaling P. Lambert, C. de Bodt, M. Verleysen, J. Lee ...................................................... p. 417 Federated Learning approach for SpectralClustering E. Hernández-Pereira, O. Fontenla-Romero, B. Guijarro-Berdiñas, B. Pérez Sánchez .................................................................................................. p. 423 Validating static call graph-based malware signatures using community detection methods A. Mester, Z. Bodó ............................................................................................... p. 429 Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. P. Lambert, J. Lee, M. Verleysen, C. de Bodt ...................................................... p. 435 Semi-supervised learning with Bayesian Confidence Propagation Neural Network N. B. Ravichandran, A. Lansner, P. Herman ....................................................... p. 441 Combining Attack Success Rate and DetectionRate for effective Universal Adversarial Attacks V. Poggioni, A. E. Baia, A. Milani ....................................................................... p. 447µ Machine learning and data mining for urban mobility intelligence Machine learning and data mining for urban mobility intelligence E. Come, L. Oukhellou, A. Same, L. Sun.............................................................. p. 453 Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation E. Goffinet, M. Lebbah, H. Azzag, L. Giraldi, A. Coutant ................................... p. 463 Unsupervised Real-time Anomaly Detection for Multivariate Mobile Phone Traffic Series E. Akopyan, A. Furno, N.-E. El Faouzi, E. Gaume .............................................. p. 469 In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models G. Boleto, L. Oneto, M. Cardellini, M. Maratea, M. Vallati, R. Canepa, D. Anguita ............................................................................................................ p. 475 Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability M. leyli abadi, A. boubezoul ................................................................................ p. 481 A Lightweight Approach for Origin-Destination Matrix Anonymization B. Matet, E. Come, A. Furno, L. Bonnetain, L. Oukhellou, N.-E. El Faouzi ....... p. 487 Supervised learning Supervised learning of convex piecewise linear approximations of optimization problems L. Duchesne, Q. Louveaux, L. Wehenkel ............................................................. p. 493 Real-time On-edge Classification: an Application to Domestic Acoustic Event Recognition L. Vuegen, P. Karsmakers ................................................................................... p. 499 Functional Gradient Descent for n-Tuple Regression R. Katopodis, P. Lima, F. França ........................................................................ p. 505 Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models J. Lee, A. Vanginderdeuren, M. Huet-Dastarac, A. M. Barragan Montero ........ p. 511 Hierarchical Planning in Multilayered State-Action Networks M. Brucklacher, H. A. Mallot, T. Baumann ......................................................... p. 517 Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling T. Leemann, M. Sackmann, J. Thielecke, U. Hofmann ........................................ p. 523 Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces A. Pihlajamäki, J. Linja, J. Hämäläinen, P. Nieminen, S. Malola, T. Kärkkäinen, H. Häkkinen ................................................................................ p. 529 Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression F. S. Khoo, D. Zhu, M. A. Hedderich, D. Klakow ................................................ p. 535 A Multi-ELM Model for Incomplete Data B. Chi, A. Lendasse, E. Ratner, R. Hu ................................................................. p. 541 Interpretable Models in Machine Learning and Explainable Artificial Intelligence The Coming of Age of Interpretable and Explainable Machine Learning Models P. Lisboa, S. Saralajew, A. Vellido, T. Villmann ................................................. p. 547 AGLVQ - Making Generalized Vector Quantization Algorithms Aware of Context T. Graeber, S. Vetter, S. Saralajew, M. Unterreiner, D. Schramm ...................... p. 557 A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN Similarity J. Taylor, E. Merényi ........................................................................................... p. 563 Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? M. Chavent, J. Lacaille, A. Mourer, M. Olteanu ................................................. p. 569 The partial response SVM B. Walters, S. Ortega-Martorell, I. Olier, P. Lisboa ........................................... p. 575 The LVQ-based Counter Propagation Network -- an Interpretable Information Bottleneck Approach M. Kaden, R. Schubert, M. Mohannazadeh Bakhtiari, L. Schwarz, T. Villmann .......................................................................................................... p. 581 Geometric Probing of Word Vectors M. Babazhanova, M. Tezekbayev, Z. Assylbekov .................................................p. 587 Context-specific sampling method for contextual explanations M. Madhikermi, A. Malhi, K. Främling ............................................................... p. 593 SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations A. Raulf, S. Däubener, B. Hack, A. Mosig, A. Fischer ......................................... p. 599 A Baseline for Shapley Values in MLPs: from Missingness to Neutrality C. Izzo, A. Lipani, R. Okhrati, F. Medda ............................................................. p. 605 Time series and signal processing Quantifying Resemblance of Synthetic Medical Time-Series K. Bhanot, S. Dash, J. Pedersen, I. Guyon, K. Bennett ....................................... p. 611 Differentially Private Time Series Generation H. Arnout, J. Bronner, T. Runkler ....................................................................... p. 617 Fusion of estimations from two modalities using the Viterbi's algorithm: application to fetal heart rate monitoring R. Souriau, J. Fontecave-Jallon, B. Rivet ............................................................ p. 623 Convolutional Neural Network Architecture for Classification of Aircraft Engines Flight Time Series D. Bay, C. Bisot ................................................................................................... p. 629 Multi-perspective embedding for non-metric time series classification M. Münch, S. Heilig, F.-M. Schleif ...................................................................... p. 635 IF: Iterative Fractional Optimization S. Chatterjee, S. Das, S. Pequito .......................................................................... p. 641 Classification A Relational Model for One-Shot Classification A. Polis, A. Ilin..................................................................................................... p. 647 Instance-Based Multi-Label Classification via Multi-Target Distance Regression J. Hämäläinen, P. Nieminen, T. Kärkkäinen ....................................................... p. 653 A bag of nodes primer on weightless graph classification R. Barbosa, D. Carvalho, P. Lima, F. França ..................................................... p. 659 Gradient representations in ReLU networks as similarity functions B. Daróczy, D. Rácz ............................................................................................. p. 665 Author index ................................................................................................ p. 671 Committees ................................................................................................... p. 675 01 00 03 02 01 D502 02 2592 03 1702 06 0de0b252a77e23babaf3cb31bf256462 07 433644 https://i6doc.com/resources/titles/28001100109930/images/44e207aecc63505eb828d442de03f2e9/HIGHQ/9782875870810.jpg 17 20220119T0956Z 02 01 D502 02 190 03 125 06 93cdcb75e103d65c5f09ac32d9d043d9 07 16404 https://i6doc.com/resources/titles/28001100109930/images/44e207aecc63505eb828d442de03f2e9/THUMBNAIL/9782875870810.jpg 17 20220119T0956Z ESANN 01 ESANN 04 01 20210915 11 20210915 02 WORLD 02 01 GCOI 28001100109930 06 03 9782875870827 WORLD 04 03 06 3012405004818 CIACO - DUC 33 www.i6doc.com http://www.i6doc.com 01 2 20 1 02 00 02 02 STD 02 46.50 01 R 6.00 43.87 2.63 EUR