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
Farzin Deravi
  • ESANN 2010 - A novel interactive biometric passport photograph alignment system [Details]
D.R. Dersch
  • ESANN 2000 - A neural network approach to adaptive pattern analysis - the deformable feature map [Details]
  • ESANN 2001 - Analysis of dynamic perfusion MRI data by neural networks [Details]
Frédéric Desobry
  • ESANN 2005 - A Class of Kernels For Sets of Vectors [Details]
Giuseppe Desoli
  • ESANN 2017 - Approximate operations in Convolutional Neural Networks with RNS data representation [Details]
Frederik Desplentere
  • ESANN 2022 - Machine learning for automated quality control in injection moulding manufacturing [Details]
Frederik Desplentere
  • No papers found
Marie-France Destain
  • ESANN 2014 - Predicting Grain Protein Content of Winter Wheat [Details]
Stefano Dettori
  • ESANN 2021 - Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors [Details]
Marcin Detyniecki
  • ESANN 2016 - Memory management for data streams subject to concept drift [Details]
Y. Deville
  • ESANN 1997 - Optimization of the asymptotic performance of time-domain convolutive source separation algorithms [Details]
Yannick Deville
  • ESANN 2006 - A time-scale correlation-based blind separation method applicable to correlated sources [Details]
  • ESANN 2007 - Markovian blind separation of non-stationary temporally correlated sources [Details]
  • ESANN 2017 - Impact of the initialisation of a blind unmixing method dealing with intra-class variability [Details]
Dieter Devlaminck
  • ESANN 2009 - Brain-Computer Interfaces: from theory to practice [Details]
  • ESANN 2010 - Directional predictions for 4-class BCI data [Details]
H. Devlieger
  • ESANN 2002 - Prediction of mental development of preterm newborns at birth time using LS-SVM [Details]
A. Devos
  • ESANN 2002 - The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals [Details]
Christof Devriendt
  • ESANN 2022 - Minkowski logarithmic error: A physics-informed neural network approach for wind turbine lifetime assessment [Details]
Christof Devriendt
  • No papers found
Julien Dewez
  • ESANN 2020 - Lower bounds on the nonnegative rank using a nested polytopes formulation [Details]
Tom Dhaene
  • ESANN 2007 - Adaptive Global Metamodeling with Neural Networks [Details]
Kishan Dholakia
  • ESANN 2012 - Classifying Scotch Whisky from near-infrared Raman spectra with a Radial Basis Function Network with Relevance Learning [Details]
Huang Di
  • No papers found
Barbara Di Camillo
  • ESANN 2012 - Discriminant functional gene groups identification with machine learning and prior knowledge [Details]
  • ESANN 2019 - Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients [Details]
E.D. Di Claudio
  • ESANN 2000 - Discriminative learning for neural decision feedback equalizers [Details]
Alfonso Di Costanzo
  • No papers found
Alfonso Di Costanzo
  • ESANN 2022 - Classification of preclinical markers in Alzheimer's disease via WiSARD classifier [Details]
Fabio Di Francesco
  • ESANN 2017 - Physical activity recognition from sub-bandage sensors using both feature selection and extraction [Details]
Davide Di Giusto
  • ESANN 2024 - Towards Contrail Mitigation through Robust and Frugal AI-Driven Data Exploitation [Details]
Ernesto Di Iorio
  • ESANN 2006 - A Cyclostationary Neural Network model for the prediction of the NO2 concentration [Details]
Antonio Di Mauro
  • ESANN 2023 - Communication-Efficient Ridge Regression in Federated Echo State Networks [Details]
Moussa Diaf
  • ESANN 2025 - Semantic Segmentation for Waterbody Extraction Using Superpixels and Convolutional Neural Networks Classifier [Details]
Y.-C. Diao
  • ESANN 1995 - Spatial summation in simple cells: computational and experimental results [Details]