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
H. Al-Duwaish
  • ESANN 2002 - Use of artificial neural networks process analyzers: a case study [Details]
Ayoub Al-Hamadi
  • ESANN 2005 - Spike-timing-dependent plasticity in 'small world' networks [Details]
Husni Al-Muhtaseb
  • ESANN 2025 - Evaluating Text Representations Techniques for Hypernymy Detection: The Case of Arabic Language [Details]
Ammar Al-Najjar
  • ESANN 2024 - Adversarial Training without Hard Labels [Details]
K. R. Al-Rawi
  • ESANN 1999 - Supervised Art-II: a new neural network architecture, with quicker learning algorithm, for learning and classifying multivaled input patterns [Details]
Faure Alain
  • ESANN 2005 - Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in culture [Details]
Carlos M. Alaíz
  • ESANN 2020 - Visualization of the Feature Space of Neural Networks [Details]
Carlos M. Alaíz
  • ESANN 2015 - Diffusion Maps parameters selection based on neighbourhood preservation [Details]
  • ESANN 2015 - Solving constrained Lasso and Elastic Net using nu-SVMs [Details]
  • ESANN 2018 - Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path [Details]
Roberto Alamino
  • ESANN 2019 - Committees as Artificial Organisms - Evolution and Adaptation [Details]
Ismail Alaoui Abdellaoui
  • ESANN 2021 - Enhancing brain decoding using attention augmented deep neural networks [Details]
Eduard Alarcón
  • ESANN 2004 - BIOSEG: a bioinspired vlsi analog system for image segmentation [Details]
Emilio Alba
  • ESANN 2005 - Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients [Details]
Anas Albaghajati
  • ESANN 2019 - On the Speedup of Deep Reinforcement Learning Deep Q-Networks (RL-DQNs) [Details]
Ugo Albanese
  • ESANN 2018 - Spatial pooling as feature selection method for object recognition [Details]
Julien Albert
  • ESANN 2023 - FairBayRank: A Fair Personalized Bayesian Ranker [Details]
Xabier Albizuri
  • ESANN 2005 - Morphological memories for feature extraction in hyperspectral images [Details]
F.X. Albizuri
  • ESANN 1994 - High-order Boltzmann machines applied to the Monk's problems [Details]
  • ESANN 1996 - Application of high-order Boltzmann machines in OCR [Details]
  • ESANN 1997 - Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences [Details]
  • ESANN 1998 - ANN for facial information processing: a review of recent approaches [Details]
A. Albrecht
  • ESANN 1995 - On threshold circuit depth [Details]
  • ESANN 2001 - A local search method for pattern classification [Details]
Andreas Albrecht
  • ESANN 2008 - The impact of axon wiring costs on small neuronal networks [Details]
Alexandra-Ioana Albu
  • ESANN 2023 - Temporal Ensembling-based Deep k-Nearest Neighbours for Learning with Noisy Labels [Details]
Marco Aldinucci
  • ESANN 2024 - Federated Learning in a Semi-Supervised Environment for Earth Observation Data [Details]
  • ESANN 2024 - Federated Time Series Classification with ROCKET features [Details]
Mohammed Aldosari
  • ESANN 2023 - On Transformer Autoregressive Decoding for Multivariate Time Series Forecasting [Details]
Lucian Alecu
  • ESANN 2009 - Reconciling neural fields to self-organization [Details]
Igor Aleksander
  • ESANN 2009 - A brief introduction to Weightless Neural Systems [Details]
  • ESANN 2009 - Phenomenal weightless machines [Details]
  • ESANN 2014 - Learning state prediction using a weightless neural explorer [Details]
  • ESANN 2019 - Systems with 'subjective feelings' - the perspective from weightless automata [Details]
A. Alessandri
  • ESANN 1998 - Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis [Details]
Rudi Alessandro
  • ESANN 2012 - Adaptive Optimization for Cross Validation [Details]
Roberta Alessio
  • ESANN 2006 - Cultures of dissociated neurons display a variety of avalanche behaviours [Details]
Nikolai Alex
  • ESANN 2008 - Parallelizing single patch pass clustering [Details]
Frédéric Alexandre
  • No papers found
F. Alexandre
  • ESANN 1994 - A lateral contribution learning algorithm for multi MLP architecture [Details]
  • ESANN 1995 - Neurosymbolic integration: unified versus hybrid approaches [Details]
  • ESANN 1997 - Knowledge extraction from neural networks for signal interpretation [Details]
  • ESANN 1999 - Specialization with cortical models: An application to causality learning [Details]