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
Weiguo Lu
  • ESANN 2019 - Application of deep neural networks for automatic planning in radiation oncology treatments [Details]
Max Lübbering
  • ESANN 2021 - Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis [Details]
Cerina Luca
  • ESANN 2019 - lightweight autonomous bayesian optimization of Echo-State Networks [Details]
S.M. Lucas
  • ESANN 1995 - Growing adaptive neural networks with graph grammars [Details]
  • ESANN 1996 - Evolving neural network learning behaviours with set-based chromosomes [Details]
Andre Luckow
  • ESANN 2017 - Algebraic multigrid support vector machines [Details]
Teresa B. Ludermir
  • ESANN 2014 - Iterative ARIMA-multiple support vector regression models for long term time series prediction [Details]
  • ESANN 2014 - Probabilistic automata simulation with single layer weightless neural networks [Details]
  • ESANN 2014 - Training a classical weightless neural network in a quantum computer [Details]
  • ESANN 2014 - Vector space weightless neural networks [Details]
Teresa Ludermir
  • ESANN 2007 - Automatically searching near-optimal artificial neural networks [Details]
J. Ludik
  • ESANN 1994 - Incremental increased complexity training [Details]
Wouter Lueks
  • ESANN 2012 - Out-of-sample kernel extensions for nonparametric dimensionality reduction [Details]
  • ESANN 2012 - Visualizing the quality of dimensionality reduction [Details]
Julian Luengo
  • No papers found
A.I. Luik
  • ESANN 1994 - Input Parameters' estimation via neural networks [Details]
Gerrit Luimstra
  • ESANN 2022 - Adaptive Gabor Filters for Interpretable Color Texture Classification [Details]
Gerrit Luimstra
  • No papers found
Gerrit Luimstra
  • ESANN 2025 - Solar Panel Segmentation on Aerial Images using Color and Elevation Information [Details]
Thomas Luka
  • ESANN 2021 - Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters [Details]
L. Lukas
  • ESANN 2000 - Sparse least squares Support Vector Machine classifiers [Details]
  • ESANN 2002 - Prediction of mental development of preterm newborns at birth time using LS-SVM [Details]
  • ESANN 2002 - The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals [Details]
Alexey Lukashin
  • ESANN 2020 - Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System [Details]
Szymon Łukasik
  • ESANN 2024 - Large Language Models as Tuning Agents of Metaheuristics [Details]
Mantas Lukoševičius
  • ESANN 2020 - Frontiers in Reservoir Computing [Details]
Christian Lülf
  • ESANN 2023 - End-to-End Neural Network Training for Hyperbox-Based Classification [Details]
Alessandra Lumini
  • ESANN 2022 - Deep Semantic Segmentation in Skin Detection [Details]
Alessandra Lumini
  • No papers found
Mihai Lungu
  • No papers found
Romulus Lungu
  • No papers found
Zhongwen Luo
  • ESANN 2005 - Self-Organizing Maps computing on Graphic Process Unit [Details]
Wei Luo
  • ESANN 2015 - A new fuzzy neural system with applications [Details]
Emil C Lupu
  • ESANN 2019 - Defending against poisoning attacks in online learning settings [Details]
Rafael Luque
  • ESANN 2010 - An ART-type network approach for video object detection [Details]
  • ESANN 2010 - Web Document Clustering based on a Hierarchical Self-Organizing Model [Details]
Gianvittorio Luria
  • ESANN 2017 - Dropout Prediction at University of Genoa: a Privacy Preserving Data Driven Approach [Details]
Leopoldo Lusquino
  • ESANN 2020 - Interpretation of Model Agnostic Classifiers via Local Mental Images [Details]