<TitleType>01</TitleType> <TitleText textcase="01">ESANN 2024 - Proceedings</TitleText> <Subtitle textcase="01">32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning</Subtitle>

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COM.ONIXSUITE.9782875870902 03 02 i6doc 01 SKU 107374PDF 02 2875870904 03 9782875870902 15 9782875870902 DG 1 002 <TitleType>01</TitleType> <TitleText textcase="01">ESANN 2024 - Proceedings</TitleText> <Subtitle textcase="01">32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning</Subtitle> 01 GCOI 28001100101790 1 A01 Collectif 01 eng 07 756 03 TEC000000 U 29 2012 3193 INFORMATIQUE 24 INTERNET Informatique 04 Informed Machine Learning for Complex Data Informed Machine Learning for Complex Data L. Oneto, N. Navarin, A. Micheli, L. Pasa, C. Gallicchio, D. Bacciu, D. Anguita Informed Machine Learning: Excess Risk and Generalization L. Oneto, D. Anguita, S. Ridella Enhancing Echo State Networks with Gradient-based Explainability Methods F. Spinnato, A. Cossu, R. Guidotti, A. Ceni, C. Gallicchio, D. Bacciu Generalizing Convolution to Point Clouds D. Bacciu, F. Landolfi Towards the application of Backpropagation-Free Graph ConvolutionalNetworks on Huge Datasets N. Navarin, L. Pasa, A. Sperduti Continual Learning with Graph Reservoirs: Preliminary experiments in graphclassification D. Tortorella, A. Micheli XAI and Bias of Deep Graph Networks M. Fontanesi, A. Micheli, M. Podda Machine learning in distributed, federated and non-stationeryenvironments Machine learning in distributed, federated and non-stationary environments –recent trends M. Polato, B. Hammer, F.-M. Schleif Sparse Uncertainty-Informed Sampling from Federated Streaming Data M. Röder, F.-M. Schleif On the Fine Structure of Drifting Features F. Hinder, V. Vaquet, B. Hammer FedHP: Federated Learning with Hyperspherical Prototypical Regularization S. Fonio, M. Polato, R. Esposito Few-shot similarity learning for motion classification via electromyography R. Liu, B. Paassen About Vector Quantization and its Privacy in Federated Learning R. Schubert, T. Villmann Federated Time Series Classification with ROCKET features B. Casella, M. Jakobs, M. Aldinucci, S. Buschjäger Federated Learning in a Semi-Supervised Environment for Earth ObservationData B. Casella, A. B. Chisari, M. Aldinucci, S. Battiato, M. V. Giuffrida Continual Improvement of Deep Neural Networks in The Age of BigData Continual Learning of Deep Neural Networks in The Age of Big Data A. Gepperth, T. Lesort Sequential Continual Pre-Training for Neural Machine Translation N. Dalla Noce, M. Resta, D. Bacciu Towards Deep Continual Workspace Monitoring: Performance Evaluation ofCL Strategies for Object Detection in Working Sites A. Celik, O. Urhan, A. Cossu, V. Lomonaco Optimization Joint Entropy Search for Multi-objective Bayesian Optimization withConstraints and Multiple Fidelities D. Fernández-Sánchez, D. Hernández-Lobato Convergence analysis of an inexact gradient method on smooth convexfunctions P. Vernimmen, F. Glineur ADLER - An efficient Hessian-based strategy for adaptive learning rate D. Balboni, D. Bacciu Classification and regression Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform(PIT) Histograms O. Podsztavek, A. I. Jordan, P. Tvrdík, K. L. Polsterer Feature Learning using Multi-view Kernel Partial Least Squares X. Zeng, Q. Tao, J. Suykens Stable Diffusion Dataset Generation for Downstream Classification Tasks E. Lomurno, M. D'Oria, M. Matteucci Extrapolating Venusian Atmospheric Profiles using MAGMA GaussianProcesses S. Lejoly, A. Piccialli, A. Mahieux, A. C. Vandaele, B. Frénay Antagonism between Classification and Reconstruction Processes in DeepPredictive Coding Networks J. Rathjens, L. Wiskott Constraints as Alternative Learning Objective in Deep Learning Q. Van Baelen, P. Karsmakers CNNGen: A Generator and a Dataset for Energy-Aware Neural ArchitectureSearch A. Gratia, H. Liu, S. Satoh, P. Temple, P.-Y. Schobbens, G. Perrouin Adversarial Training without Hard Labels A. Al-Najjar, I. Megyeri, M. Jelasity Learning Kernel Parameters for Support Vector Classification Using SimilarityEmbeddings A. P. Braga, M. Menezes, L. Torres Causes of Rejects in Prototype-based Classification Aleatoric vs. EpistemicUncertainty J. Brinkrolf, V. Vaquet, F. Hinder, B. Hammer ''Mental Images'' driven classification G. Coda, M. De Gregorio, A. Sorgente, P. Vanacore Transfer learning to minimize the predictive risk in clinical research S. Branders, J. Paul, A. Ooghe, A. Pereira Leveraging performance-based metadata for designing multi-objective NASstrategies for efficient models in Earth Observation. E. Demir, R. Traoré, A. Camero AI-based algorithm for intrusion detection on a real dataset D. Esteban Martínez, B. Guijarro-Berdiñas, A. Alonso Betanzos,E. Hernández-Pereira, A. Esteban Martínez Similarity-Based Zero-Shot Domain Adaptation for Wearables M. Vieth, N. Grimmelsmann, A. Schneider, B. Hammer Robustness and Regularization in Hierarchical Re-Basin B. Franke, F. Heinrich, M. Lange, A. Raulf Lightweight Cross-Modal Representation Learning B. Faye, H. Azzag, M. Lebbah, D. Bouchaffra Human Activity Recognition from Thigh and Wrist Accelerometry A. Castellanos Alonso, A. López, D. Garcia-Perez, D. Álvarez, J. C. Alvarez On Fβ-score and Cost-Consistency in Evaluation of Imbalanced Classification A. Avela Decision fusion based multimodal hierarchical method for speech emotionrecognition from audio and text N. Alqurashi, Y. Li, K. Sidorov, D. Marshall Trust in Artificial Intelligence: Beyond Interpretability Trust in Artificial Intelligence: Beyond Interpretability T. Bouadi, B. Frénay, L. Galárraga, P. Geurts, B. Hammer, G. Perrouin Interpreting Hybrid AI through Autodecoded Latent Space Entities R. Veen, C. Hadjichristodoulou, M. Biehl ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery T. Michalski, D. Rymarczyk, D. Barczyk, B. Zieliński Evaluating the Quality of Saliency Maps for Distilled Convolutional NeuralNetworks J. Wilfling, M. Valdenegro-Toro, M. Zullich Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies D. Gross, H. Spieker Evaluation methodology for disentangled uncertainty quantification onregression models K. Pasini, C. Arlotti, M. Leyli Abadi, M. Nabhan, J. Baro Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations A. Ihalapathirana, G. Chandra, P. Lavikainen, P. Siirtola, S. Tamminen,N. Talukder, J. Martikainen, J. Röning Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation S. Corbugy, T. Septon, B. Dumas, B. Frénay Does a Reduced Fine-Tuning Surface Impact the Stability of the Explanationsof LLMs? J. Bogaert, F.-X. Standaert Nonlinear dimensionality reduction and unsupervised learning Positive and Scale Invariant Gaussian Process Latent Variable Model for Astronomical Spectra N. Gianniotis, K. L. Polsterer, I. I. Cortés Pérez Forget early exaggeration in t-SNE: early hierarchization preserves globalstructure J. Lee, E. Couplet, P. Lambert, L. Journaux, D. Mulders, C. de Bodt, M. Verleysen Estimated neighbour sets and smoothed sampled global interactions aresufficient for a fast approximate tSNE. P. Lambert, E. Couplet, C. de Bodt, J. Lee Hyperbolic Metabolite-Disease Association Prediction D. Pogány, P. Antal Interactive Machine Learning-Powered Dashboard for Energy Analytics inResidential Buildings D. Garcia-Perez, I. Diaz-Blanco, J. M. Enguita-Gonzalez, J. Menéndez,A. A. Cuadrado-Vega Exploring Self-Organizing Maps for Addressing Semantic Impairments J. Graneri, S. Basterrech, G. Rubino, E. Mizraji HDBSCAN for 3-rd order tensor D. F. Andriantsiory, J. Ben Geloun, M. Lebbah Graph learning Large-Scale Continuous Structure Learning from Time-Series Data F. Michelis, R. Massidda, D. Bacciu Noise Robust One-Class Intrusion Detection on Dynamic Graphs A. Liuliakov, A. Schulz, L. Hermes, B. Hammer SAT Instances Generation Using Graph Variational Autoencoders D. Crowley, M. Dalla, B. O'Sullivan, A. Visentin Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding L. Goené, S. Mehrkanoon Link prediction heuristics for temporal graph benchmark M. Dileo, M. Zignani Inductive lateral movement detection in enterprise computer networks C. Larroche T-WinG: Windowing for Temporal Knowledge Graph Completion N.-T. Nguyen, T. Vu, T. Le Exploring Temporal Knowledge Graphs with Compositional Interactions andDiachronic Mechanisms L. Tran, B. Le, T. Le Domain Knowledge Integration in Machine Learning Systems Domain Knowledge Integration in Machine Learning Systems - An Introduction M. Kaden, S. Saralajew, T. Villmann Tumor Grading via Decorrelated Sparse Survival Regression B. Paassen, N. Gaisa, M. Rose, M.-S. Bösherz Physics-Aware Normalizing Flows: Leveraging Electric Circuit Models inAdversarial Learning B. Schindler, T. Schmid Leveraging Physics-Informed Neural Networks as Solar Wind ForecastingModels N. Costa, F. S. Barros, J. J. G. Lima, R. F. Pinto, A. Restivo Online learning and concept drift Self-Supervised Learning from Gradually Drifting Data Streams V. Vaquet, J. Vaquet, F. Hinder, K. Malialis, C. Panayiotou, M. Polycarpou,B. Hammer On-line Learning Dynamics in Layered Neural Networks with Arbitrary Activation Functions F. Richert, O. Citton, M. Biehl Online Adaptation of Compressed Models by Pre-Training and Task-RelevantPruning T. Avé, M. Hutsebaut-Buysse, W. Wei, K. Mets Deep Temporal Consensus Clustering for Patient Stratification in AmyotrophicLateral Sclerosis M. Pego Roque, A. S. Martins, M. Gromicho, M. de Carvalho, S. C. Madeira,P. Tomás, H. Aidos Trustworthiness Score for Echo State Networks by Analysis of the ReservoirDynamics J. M. Enguita-Gonzalez, D. Garcia-Perez, A. A. Cuadrado-Vega,D. García-Peña, J. R. Rodríguez-Ossorio, I. Diaz-Blanco Invariant Representation Learning for Generalizable Imitation M. Jabri, P. Papadakis, E. Abbasnejad, G. Coppin, J. Shi Unsupervised Drift Detection Using Quadtree Spatial Mapping B. A. Ramos, C. Leite de Castro, T. A. Coelho, P. Angelov Time series, recurrent and reinforcement learning LSTM encoder-decoder model for contextualized time series forecasting appliedto the simulation of a digital patient's physiological variables J. Paris, C. Sinoquet, F. Taia-Alaoui, C. Lejus-Bourdeau Reservoir Memory Networks C. Gallicchio, A. Ceni Why long model-based rollouts are no reason for bad Q-value estimates P. Wissmann, D. Hein, S. Udluft, V. Tresp Recurrent Neural Network based Counter Automata S. Leal, L. Lago Multidimensional CDTW-based features for Parkinson's Disease classification F. Attal, N. Khoury, Y. Amirat Vision Language Models as Policy Learners in Reinforcement LearningEnvironments G. Bonetta, D. Zago, R. Cancelliere, M. Polato, B. Magnini Predicting the Closing Cross Auction Results at the NASDAQ Stock Exchange S. Cohen, M. Hettich, P. Bielefeld, C. Schomers, T. Friedrich A Deep Double Q-Learning as a SDLS support in solving LABS problem D. Żurek Enhanced Deep Reinforcement Learning based Group Recommendation Systemwith Multi-head Attention for Varied Group Sizes S. Izadkhah, B. Rekabdar Aeronautic data analysis Aeronautic data analysis J. Lacaille, P. Fabiani, P. Besson From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics A. Madane, F. Forest, H. Azzag, M. Lebbah, J. Lacaille A Kalman Filter and Neural Network Hybrid Approach for Health Monitoringof Aircraft Engines S. Thépaut, S. Razakarivony, D. Q. Vu, A. Bauny Towards Contrail Mitigation through Robustand Frugal AI-Driven DataExploitation D. Di Giusto, G. Boussu, S. Alix, C. Reverdy, M. Riou, T. Petrisor Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI) Machine Learning Methods for BCI: challenges, pitfalls and promises J. A. Riascos, M. Molinas, F. Lotte Exploring High- and Low-Density Electroencephalography for a Dream Decoding Brain-Computer Interface M. Packiyanathan, A. Torvestad, M. Molinas, L. A. Moctezuma Pascual Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface S. Velut, S. Chevallier, M.-C. Corsi, F. Dehais EEG Source Imaging Enhances Motor Imagery Classification A. Soler, V. Naas, A. Giri, M. Molinas Unveiling Dreams: Moving Towards Automatic Dream Decoding viaqualitative EEG Analysis and Machine Learning A. Torvestad, M. Packiyanathan, L. A. Moctezuma Pascual, M. Molinas Towards calibration-free online EEG motor imagery decoding using DeepLearning M. Wimpff, J. Zerfowski, B. Yang Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEG S. Li, M. Kawanabe, R. Kobler Language models LLaMA Tunes CMA-ES O. Kramer A Two-Stage Approach for Implicit Bias Detection in Generative LanguageModels J. Edwards, R. Hu, A. Lendasse, A. Schlager, P. Lindner Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts T. T. Nguyen, C. Wilson, J. Dalins Towards Explainable Evolution Strategies with Large Language Models J. Baumann, O. Kramer Embodying Language Models in Robot Action C. Gäde, O. Özdemir, C. Weber, S. Wermter Large Language Models as Tuning Agents of Metaheuristics A. Martinek, S. Łukasik, A. H. Gandomi ChatDT: Simplifying Constraint Integration in Decision Trees A. P. Chokki, B. Frénay Image processing and computer vision From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images V. Delchevalerie, B. Frénay, A. Mayer Visualizing and Improving 3D Mesh Segmentation with DeepView A. Mazur, I. Roberts, D. Leins, A. Schulz, B. Hammer Clarity: a Deep Ensemble for Visual Counterfactual Explanations C. Theobald, F. Pennerath, B. Conan-Guez, M. Couceiro, A. Napoli An Efficient Neural Architecture Search Model for Medical Image Classification L. Xie, E. Lomurno, M. Gambella, D. Ardagna, M. Roveri, M. Matteucci,Q. Shi Leveraging endoscopic data with Contrastive Learning for Crohn's diseasedetection R. Ghyselinck, J. Fink, B. Dumas, B. Frénay Unpaired Image-to-Image Translation to Improve Log End Identification D. Björnberg, M. Ericsson, W. Löwe, J. Nordqvist Investigating the Gestalt Principle of Closure in Deep Convolutional NeuralNetworks Y. Zhang, D. Soydaner, F. Behrad, L. Koßmann, J. Wagemans Influence of image encoders and image features transformations in emergentcommunication B. Vanderplaetse, S. Dupont, X. Siebert SDE U-Net: Disentangling Aleatoric and Epistemic Uncertainties in MedicalImage Segmentation C. Zhang, A. M. Barragan Montero, J. Lee Generation of Simulated Dataset of Computed Tomography Images of Eggsand Extraction of Measurements Using Deep Learning J. P. B. López Vargas, D. Duarte de Paula, D. Salvadeo, E. Bergamim Júnior AI-based Collimation Optimization for X-Ray Imaging using Time-of-FlightCameras D. Mairhöfer, M. Laufer, L. Berkel, A. Bischof, E. Barth, J. Barkhausen,T. Martinetz On the Stability of Neural Segmentation in Radiology M. Wolter, L. Veeramacheneni, B. Baeßler, U. I. Attenberger,B. D. Wichtmann Analysis of DNA methylation patterns in cancer samples using SOM I. Diaz-Blanco, J. M. Enguita-Gonzalez, D. Garcia-Perez, A. A. Cuadrado-Vega,N. Valdes-Gallego, M. D. Chiara-Romero Graph-cut-assisted CNN training for pulmonary embolism segmentation N. Yang, R. Verschuren, C. De Vleeschouwer Reconstruction of Mammography Projections using Image-to-Image TranslationTechniques J. Cristo Santos, M. Seoane Santos, P. Henriques Abreu Author index Committees 06 03 01 https://i6doc.com/resources/titles/28001100101790/images/e81f1e4fe5b85be7a6619d0b33427e01/HIGHQ/9782875870902.jpg 20250130 07 03 01 https://i6doc.com/resources/titles/28001100101790/images/e81f1e4fe5b85be7a6619d0b33427e01/THUMBNAIL/9782875870902.jpg 20250130 38 https://i6doc.com/en/book/?GCOI=28001100101790 ESANN 01 ESANN 04 20240901 2024 02 WORLD