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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
Sigurd Løkse
  • ESANN 2018 - Bidirectional deep-readout echo state networks [Details]
A. Lolis
  • ESANN 2001 - Prediction of foreign exchange rates by neural network and fuzzy system based techniques [Details]
A. Lombardi
  • ESANN 2000 - Financial predictions based on bootstrap-neural networks [Details]
Vincenzo Lomonaco
  • ESANN 2021 - Continual Learning at the Edge: Real-Time Training on Smartphone Devices [Details]
  • ESANN 2021 - Continual Learning with Echo State Networks [Details]
  • ESANN 2022 - Continual Learning for Human State Monitoring [Details]
  • ESANN 2024 - Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites [Details]
Eugenio Lomurno
  • ESANN 2024 - An Efficient Neural Architecture Search Model for Medical Image Classification [Details]
  • ESANN 2024 - Stable Diffusion Dataset Generation for Downstream Classification Tasks [Details]
Giuseppe Longo
  • ESANN 2018 - Machine learning and data analysis in astroinformatics [Details]
  • ESANN 2018 - stellar formation rates in galaxies using machine learning models [Details]
Chu Kiong Loo
  • ESANN 2020 - Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition [Details]
  • ESANN 2021 - Lifelong Learning from Event-based Data [Details]
M. Loomes
  • ESANN 2001 - A local search method for pattern classification [Details]
Gaelle Loosli
  • ESANN 2016 - Study on the loss of information caused by the "positivation" of graph kernels for 3D shapes [Details]
  • ESANN 2019 - L1-norm double backpropagation adversarial defense [Details]
  • ESANN 2019 - TrIK-SVM : an alternative decomposition for kernel methods in Kreı̆n spaces [Details]
Alneu Lopes
  • ESANN 2016 - On the equivalence between algorithms for Non-negative Matrix Factorization and Latent Dirichlet Allocation [Details]
Henrique Lopes Cardoso
  • ESANN 2021 - Towards Robust Auxiliary Tasks for Language Adaptation [Details]
E. Lopez
  • ESANN 2000 - E.O.G. guidance of a weelchair using spiking neural networks [Details]
Antonio López
  • ESANN 2024 - Human Activity Recognition from Thigh and Wrist Accelerometry [Details]
Jorge López
  • ESANN 2008 - An accelerated MDM algorithm for SVM training [Details]
  • ESANN 2009 - Rosen's projection method for SVM training [Details]
  • ESANN 2010 - Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs [Details]
J. López
  • ESANN 2011 - Sparse LS-SVMs with L0–norm minimization [Details]
Beatriz López
  • ESANN 2016 - Bag-of-Steps: predicting lower-limb fracture rehabilitation length [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]

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