Electronic proceedings author index

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Cédric De Schryver
  • No papers found
Marina De Tommaso
  • No papers found
Emmanuel DE VERDALLE
  • ESANN 2012 - A CUSUM approach for online change-point detection on curve sequences [Details]
Christophe De Vleeschouwer
  • ESANN 2009 - Embedding Proximal Support Vectors into Randomized Trees [Details]
  • ESANN 2019 - Experimental study of the neuron-level mechanisms emerging from backpropagation [Details]
Christophe De Vleeschouwer
  • ESANN 2023 - Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection [Details]
  • ESANN 2024 - Graph-cut-assisted CNN training for pulmonary embolism segmentation [Details]
Harm de Vries
  • ESANN 2016 - Deep Learning Vector Quantization [Details]
T. de Vries
  • ESANN 1998 - Parsimonious learning feed-forward control [Details]
Gert-Jan de Vries
  • ESANN 2017 - Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders [Details]
Bert de Vries
  • ESANN 2009 - Bayesian periodogram smoothing for speech enhancement [Details]
Maarten De Waard
  • ESANN 2015 - Pareto Local Search for MOMDP Planning [Details]
Diogo de-Freitas
  • ESANN 2018 - Evolutionary Composition of Customized Fault Localization Heuristics [Details]
Klaus Debes
  • ESANN 2009 - Forward feature selection using Residual Mutual Information [Details]
Christine Decaestecker
  • ESANN 2025 - Ranking the scores of algorithms with confidence [Details]
Jérémie Decock
  • ESANN 2014 - Direct Model-Predictive Control [Details]
Jonas Degrave
  • ESANN 2016 - Spatial Chirp-Z Transformer Networks [Details]
J. Dehaene
  • ESANN 1993 - Locally implementable learning with isospectral matrix flows [Details]
  • ESANN 1995 - Adaptive signal processing with unidirectional Hebbian adaptation laws [Details]
Frédéric Dehais
  • ESANN 2024 - Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface [Details]
Mathieu Dehouck
  • ESANN 2019 - Modal sense classification with task-specific context embeddings [Details]
Marc Deisenroth
  • ESANN 2008 - Model-Based Reinforcement Learning with Continuous States and Actions [Details]
A. Deiss
  • ESANN 1998 - Selecting among candidate basis functions by crosscorrelations [Details]
Oleksiy Dekhtyarenko
  • ESANN 2005 - Averaging on Riemannian manifolds and unsupervised learning using neural associative memory [Details]
  • ESANN 2005 - Phase transition in sparse associative neural networks [Details]
Alberto Antonio Del Barrio García
  • ESANN 2019 - Design of Power-Efficient FPGA Convolutional Cores with Approximate Log Multiplier [Details]
Rafael del Castillo-Gomariz
  • ESANN 2006 - Classification by means of Evolutionary Response Surfaces [Details]
Gianna Del Corso
  • ESANN 2023 - Quantum Feature Selection with Variance Estimation [Details]
Jose del R. Millan
  • ESANN 2009 - Augmenting Information from Brain-Computer Interfaces through Bayesian Plan Recognition [Details]
Manel del Valle
  • ESANN 2017 - High dimensionality voltammetric biosensor data processed with artificial neural networks [Details]
Nicolas Delannay
  • ESANN 2004 - functional radial basis function networks [Details]
  • ESANN 2007 - Collaborative Filtering with interlaced Generalized Linear Models [Details]
  • ESANN 2007 - Mixtures of robust probabilistic principal component analyzers [Details]
Valentin Delchevalerie
  • ESANN 2021 - Boundary-Based Fairness Constraints in Decision Trees and Random Forests [Details]
  • ESANN 2024 - From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images [Details]
  • ESANN 2025 - Mask-Aware Cropping: Mitigating Mask Imbalance in Segmentation Tasks [Details]
P. Deleglise
  • ESANN 1998 - Hybrid Hidden Markow model / neural network models for speechreading [Details]
M. Delichère
  • ESANN 2002 - Neural dimensionality reduction for document processing [Details]