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
Tiago A. Coelho
  • ESANN 2024 - Unsupervised Drift Detection Using Quadtree Spatial Mapping [Details]
Luis A. Q. Villon
  • No papers found
Luis A. Q. Villon
  • ESANN 2022 - A WiSARD-based conditional branch predictor [Details]
  • ESANN 2022 - Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks [Details]
  • ESANN 2022 - Pruning Weightless Neural Networks [Details]
Bernardo A. Ramos
  • ESANN 2024 - Unsupervised Drift Detection Using Quadtree Spatial Mapping [Details]
Pedro A. Santos
  • ESANN 2020 - Equilibrium Propagation for Complete Directed Neural Networks [Details]
Salla Aario
  • ESANN 2020 - Respiratory Pattern Recognition from Low-Resolution Thermal Imaging [Details]
catherine Aaron
  • ESANN 2004 - Description of the Group Dynamic of Funds’ Managers using Kohonen’s Map [Details]
  • ESANN 2005 - graph-based normalization [Details]
Lydia Abady
  • No papers found
Lydia Abady
  • ESANN 2022 - Detection and Localization of GAN Manipulated Multi-spectral Satellite Images [Details]
Fares Abawi
  • ESANN 2018 - An analysis of subtask-dependency in robot command interpretation with dilated CNNs [Details]
  • ESANN 2018 - Surprisal-based activation in recurrent neural networks [Details]
Maryam Abbasi
  • ESANN 2021 - Improvement on Generative Adversarial Network for Targeted Drug Design [Details]
  • ESANN 2021 - Multiobjective Reinforcement Learning in Optimized Drug Design [Details]
Ehsan Abbasnejad
  • ESANN 2024 - Invariant Representation Learning for Generalizable Imitation [Details]
Maysam Abbod
  • ESANN 2005 - Artificial intelligence techniques for the prediction of bladder cancer progression [Details]
Fahed Abdallah
  • ESANN 2025 - Multi-View Graph Neural Network for Image Segmentation : Intermediate vs Late Fusion [Details]
Nassib ABDALLAH
  • ESANN 2025 - O-Net: a Brain Tumor segmentation architecture based on U-Net using alternated Pooling [Details]
Mohamed Farouk Abdel Hady
  • ESANN 2008 - Multi-View Forests of Tree-Structured Radial Basis Function Networks Based on Dempster-Shafer Evidence Theory [Details]
Mina ABDEL-SAYED
  • ESANN 2016 - anomaly detection on spectrograms using data-driven and fixed dictionary representations [Details]
Kouider Abderrahmane
  • No papers found
Lotfi Abdi
  • No papers found
H. Abdi
  • ESANN 1998 - Face recognition: pre-processing techniques for linear autoassociators [Details]
Maryam Abdollahyan
  • ESANN 2017 - POKer: a Partial Order Kernel for Comparing Strings with Alternative Substrings [Details]
Saad Abdullah Gondal
  • ESANN 2018 - Incremental learning with deep neural networks using a test-time oracle [Details]
Takashi Abe
  • ESANN 2025 - Sleep Staging with Gradient Boosting and DWT-PSD Features from EEG/EOG Signals [Details]
S. Abe
  • ESANN 2002 - Fuzzy support vector machines for multiclass problems [Details]
Hiroshi Abe
  • ESANN 2009 - The Possibility of Single-trial Classification of Viewed Characters using EEG Waveforms [Details]
Shigeo Abe
  • ESANN 2004 - Fuzzy LP-SVMs for Multiclass Problems [Details]
  • ESANN 2005 - Modified backward feature selection by cross validation [Details]
  • ESANN 2007 - Optimizing kernel parameters by second-order methods [Details]
  • ESANN 2008 - Comparison of sparse least squares support vector regressors trained in primal and dual [Details]
  • ESANN 2009 - Sparse support vector machines by kernel discriminant analysis [Details]
  • ESANN 2010 - Active set training of support vector regressors [Details]
Joaquín Abellán
  • ESANN 2014 - Credal decision trees in noisy domains [Details]
Sandra Abib
  • ESANN 2005 - Using CMU PIE Human Face Database to a Convolutional Neural Network - Neocognitron [Details]
Najmeh Abiri
  • ESANN 2019 - Variational auto-encoders with Student’s t-prior [Details]
Pierre Ablin
  • ESANN 2019 - Beyond Pham's algorithm for joint diagonalization [Details]