Electronic proceedings author index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Julien Rebetez
  • ESANN 2016 - Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery [Details]
G. Rech
  • ESANN 2000 - Specification, estimation and evaluation of single hidden-layer feedforward autoregressive artificial neural network models [Details]
Katharina Rechberger
  • ESANN 2021 - Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors [Details]
Andreas Rechtien
  • ESANN 2005 - Relevance learning for mental disease classification [Details]
Pavan Kumar Reddy K
  • ESANN 2022 - Appearance-Context aware Axial Attention for Fashion Landmark Detection [Details]
Pavan Kumar Reddy K
  • No papers found
Josep Redon
  • ESANN 2016 - Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data [Details]
Alexey Redyuk
  • ESANN 2017 - Investigating optical transmission error correction using wavelet transforms [Details]
Diego Rego-Fernández
  • ESANN 2016 - A fast learning algorithm for high dimensional problems: an application to microarrays [Details]
  • ESANN 2016 - Distributed learning algorithm for feedforward neural networks [Details]
Martin Rehn
  • ESANN 2005 - Attractor neural networks with patchy connectivity [Details]
  • ESANN 2006 - Recognition of handwritten digits using sparse codes generated by local feature extraction methods [Details]
C. Rehtanz
  • ESANN 2000 - Stability assessment of electric power systems using growing neural gas and self-organizing maps [Details]
Uwe Reichel
  • ESANN 2023 - Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions [Details]
R. Felix Reinhart
  • ESANN 2009 - Attractor-based computation with reservoirs for online learning of inverse kinematics [Details]
  • ESANN 2011 - Reservoir regularization stabilizes learning of Echo State Networks with output feedback [Details]
  • ESANN 2012 - Balancing of neural contributions for multi-modal hidden state association [Details]
Felix Reinhart
  • ESANN 2010 - Efficient online learning of a non-negative sparse autoencoder [Details]
  • ESANN 2013 - Neurally imprinted stable vector fields [Details]
Rene Felix Reinhart
  • ESANN 2016 - Modelling of parameterized processes via regression in the model space [Details]
Attila Reiss
  • ESANN 2013 - A competitive approach for human activity recognition on smartphones [Details]
Banafsheh Rekabdar
  • ESANN 2024 - Enhanced Deep Reinforcement Learning based Group Recommendation System with Multi-head Attention for Varied Group Sizes [Details]
Beatriz Remeseiro
  • ESANN 2015 - Learning features on tear film lipid layer classification [Details]
  • ESANN 2016 - Machine learning for medical applications [Details]
  • ESANN 2017 - Algorithmic challenges in big data analytics [Details]
Beatriz Remeseiro
  • No papers found
Beatriz Remeseiro
  • ESANN 2022 - The role of feature selection in personalized recommender systems [Details]
J.-F. Remm
  • ESANN 1997 - Knowledge extraction from neural networks for signal interpretation [Details]
Anaïs Remy
  • ESANN 2017 - Multiscale Spatio-Temporal Data Aggregation and Mapping for Urban Data Exploration [Details]
Emilie Renard
  • ESANN 2014 - Capturing confounding sources of variation in DNA methylation data by spatiotemporal independent component analysis [Details]
  • ESANN 2016 - Spatiotemporal ICA improves the selection of differentially expressed genes [Details]
  • ESANN 2019 - Minimax center to extract a common subspace from multiple datasets [Details]
Canepa Renzo
  • ESANN 2019 - Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them? [Details]
H. Ressom
  • ESANN 2002 - Double self-organizing maps to cluster gene expression data [Details]
  • ESANN 2002 - Improving robustness of fuzzy gene modeling [Details]
Michele Resta
  • No papers found
Michele Resta
  • ESANN 2022 - Continual Incremental Language Learning for Neural Machine Translation [Details]
  • ESANN 2024 - Sequential Continual Pre-Training for Neural Machine Translation [Details]
André Restivo
  • ESANN 2024 - Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models [Details]
Charlotte REVEL
  • ESANN 2017 - Impact of the initialisation of a blind unmixing method dealing with intra-class variability [Details]
Arnaud Revel
  • ESANN 2015 - A Robust Neural Robot Navigation Using a Combination of Deliberative and Reactive Control Architectures [Details]