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
Beatriz López
  • ESANN 2016 - Bag-of-Steps: predicting lower-limb fracture rehabilitation length [Details]
E. Lopez
  • ESANN 2000 - E.O.G. guidance of a weelchair using spiking neural networks [Details]
Francisco M. López
  • ESANN 2025 - Hierarchical Residuals Exploit Brain-Inspired Compositionality [Details]
Isabel Lopez Andrade
  • ESANN 2017 - The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study [Details]
Jean Pierre Brik López Vargas
  • ESANN 2024 - Generation of Simulated Dataset of Computed Tomography Images of Eggs and Extraction of Measurements Using Deep Learning [Details]
F.J. Lopez-Aligue
  • ESANN 1994 - A general model for higher order neurons [Details]
Manuel Lopez-Radcenco
  • ESANN 2017 - Non-negative decomposition of geophysical dynamics [Details]
Domingo López-Rodríguez
  • ESANN 2006 - Enhanced maxcut clustering with multivalued neural networks and functional annealing [Details]
Ezequiel Lopez-Rubio
  • ESANN 2007 - Spicules-based competitive neural network [Details]
Daniel Lopez-Sanchez
  • ESANN 2019 - Class-aware t-SNE: cat-SNE [Details]
Andrea Loreggia
  • ESANN 2022 - Deep Semantic Segmentation in Skin Detection [Details]
Andrea Loreggia
  • No papers found
Stephan Lorenzen
  • ESANN 2019 - Detecting Ghostwriters in High Schools [Details]
C. Lorenzi
  • ESANN 1993 - Physiological modelling of cochlear nucleus responses-perception of complex sounds [Details]
Pierre Lorrentz
  • ESANN 2009 - FPGA-based enhanced probabilistic convergent weightless Network for human Iris recognition [Details]
  • ESANN 2010 - Model Learning from Weights by Adaptive Enhanced Probabilistic Convergent Network [Details]
Viktor Losing
  • ESANN 2016 - Choosing the best algorithm for an incremental on-line learning task [Details]
Manuel Loth
  • ESANN 2007 - A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TD [Details]
Fabien Lotte
  • ESANN 2024 - Machine Learning Methods for BCI: challenges, pitfalls and promises [Details]
Benoît Loucheur
  • ESANN 2022 - Gap filling in air temperature series by matrix completion methods [Details]
Benoît Loucheur
  • No papers found
Karim Lounici
  • ESANN 2026 - AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks [Details]
Carlos Lourenço
  • ESANN 2006 - Dynamical reservoir properties as network effects [Details]
  • ESANN 2007 - Structured reservoir computing with spatiotemporal chaotic attractors [Details]
Afonso Lourenco
  • ESANN 2023 - Automated green machine learning for condition-based maintenance [Details]
T. Lourens
  • ESANN 2001 - A computational model of monkey grating cells for oriented repetitive alternating patterns [Details]
  • ESANN 2001 - Graph extraction from color images [Details]
Quentin Louveaux
  • ESANN 2021 - Supervised learning of convex piecewise linear approximations of optimization problems [Details]
Sofie Lövdal
  • ESANN 2023 - Improved Interpretation of Feature Relevances: Iterated Relevance Matrix Analysis (IRMA) [Details]
  • ESANN 2025 - Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach -- FA(IR)$^2$MA-GLVQ [Details]
  • ESANN 2026 - Autoencoders versus PCA for feature extraction in FDG PET scans in neurodegenerative diseases [Details]
Welf Löwe
  • ESANN 2024 - Unpaired Image-to-Image Translation to Improve Log End Identification [Details]
Eneldo Loza Mencía
  • ESANN 2009 - Efficient voting prediction for pairwise multilabel classification [Details]
  • ESANN 2016 - Using semantic similarity for multi-label zero-shot classification of text documents [Details]
J.A. Lozano
  • ESANN 1994 - High-order Boltzmann machines applied to the Monk's problems [Details]
Weiguo Lu
  • ESANN 2019 - Application of deep neural networks for automatic planning in radiation oncology treatments [Details]