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
Viktor Naas
  • ESANN 2024 - EEG Source Imaging Enhances Motor Imagery Classification [Details]
Marc Nabhan
  • ESANN 2024 - Evaluation methodology for disentangled uncertainty quantification on regression models [Details]
J.P. Nadal
  • ESANN 1997 - Optimal tuning curves for neurons spiking as a Poisson process [Details]
J.-P. Nadal
  • ESANN 1997 - I.C.A.: conditions on cumulants and information theoretic approach [Details]
Everton Z. Nadalin
  • ESANN 2014 - Analysis of the Weighted Fuzzy C-means in the problem of source location [Details]
Patric Nader
  • ESANN 2015 - Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance [Details]
Mohamed Nadif
  • No papers found
Aviv Nahon
  • ESANN 2018 - Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithm [Details]
Rajesh Nair
  • ESANN 2023 - Action-Based ADHD Diagnosis in Video [Details]
K. Nakadai
  • ESANN 2001 - A computational model of monkey grating cells for oriented repetitive alternating patterns [Details]
  • ESANN 2001 - Graph extraction from color images [Details]
H. Nakahara
  • ESANN 2003 - On different ensembles of kernel machines [Details]
Yoshihiko Nakamura
  • ESANN 2013 - Locally Weighted Least Squares Temporal Difference Learning [Details]
Minoru Nakayama
  • ESANN 2007 - An Estimation of Response Certainty using Features of Eye-movements [Details]
  • ESANN 2009 - The Possibility of Single-trial Classification of Viewed Characters using EEG Waveforms [Details]
  • ESANN 2015 - The prediction of learning performance using features of note taking activities [Details]
M. Nakayama
  • ESANN 2002 - An estimation model of pupil size for 'Blink Artifact' and it's applications [Details]
  • ESANN 2003 - Subject Categorization for Web Educational Resources using MLP [Details]
U. Nakte
  • ESANN 2001 - Motor control and movement optimization learned by combining auto-imitative and genetic algorithms [Details]
Murilo Naldi
  • ESANN 2007 - Clustering using genetic algorithm combining validation criteria [Details]
Dongkyung Nam
  • ESANN 2004 - a sliding mode controller using neural networks for robot manipulator [Details]
Jinseok Nam
  • ESANN 2016 - Using semantic similarity for multi-label zero-shot classification of text documents [Details]
Vinay Namboodiri
  • ESANN 2018 - Unsupervised domain adaptation of deep object detectors [Details]
A. Nandi
  • ESANN 1999 - Feature selection for ANNs using genetic algorithms in condition monitoring [Details]
Asoke K. Nandi
  • ESANN 2013 - Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis [Details]
Géraldin Nanfack
  • ESANN 2020 - Explaining t-SNE Embeddings Locally by Adapting LIME [Details]
  • ESANN 2021 - Boundary-Based Fairness Constraints in Decision Trees and Random Forests [Details]
Loris Nanni
  • No papers found
Loris Nanni
  • ESANN 2022 - Deep Semantic Segmentation in Skin Detection [Details]
Amedeo Napoli
  • ESANN 2024 - Clarity: a Deep Ensemble for Visual Counterfactual Explanations [Details]
Otávio Napoli
  • ESANN 2023 - Efficient Knowledge Aggregation Methods for Weightless Neural Networks [Details]
  • ESANN 2025 - On Domain Generalization for Human Activity Recognition with Mix-Based Methods [Details]
M.R. Napolitano
  • ESANN 2003 - Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator [Details]
Mohsen Naqvi
  • ESANN 2023 - Action-Based ADHD Diagnosis in Video [Details]
aparajit narayan
  • ESANN 2020 - Navigational Freespace Detection for Autonomous Driving in Fixed Routes [Details]
Joanna Narbutt
  • ESANN 2009 - Application of SVM for cell recognition in BCC skin pathology [Details]