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
Francesco Cartella
  • ESANN 2011 - Inferring the causal decomposition under the presence of deterministic relations [Details]
J.N. Carter
  • ESANN 2002 - Biologically-inspired human motion detection [Details]
Bernardo Carvalho
  • ESANN 2007 - A-LSSVM: an Adaline based iterative sparse LS-SVM classifier [Details]
  • ESANN 2007 - Prediction of post-synaptic activity in proteins using recursive feature elimination [Details]
Diego Carvalho
  • ESANN 2017 - A neuro-symbolic approach to GPS trajectory classification [Details]
Rafael Carvalho
  • ESANN 2015 - A WiSARD-based multi-term memory framework for online tracking of objects [Details]
Divani da S. Carvalho
  • ESANN 2015 - The use of RBF neural network to predict building’s corners hygrothermal behavior [Details]
Danilo Carvalho
  • ESANN 2013 - B-bleaching: Agile Overtraining Avoidance in the WiSARD Weightless Neural Classifier [Details]
  • ESANN 2014 - Credit analysis with a clustering RAM-based neural classifier [Details]
  • ESANN 2014 - Extracting rules from DRASiW’s "mental images" [Details]
  • ESANN 2014 - Online tracking of multiple objects using WiSARD [Details]
Diego Carvalho
  • ESANN 2021 - A bag of nodes primer on weightless graph classification [Details]
Rafael Lima Carvalho
  • ESANN 2013 - Dynamic Placement with Connectivity for RSNs based on a Primal-Dual Neural Network [Details]
Thiago Vieira de Carvalho
  • ESANN 2005 - Using CMU PIE Human Face Database to a Convolutional Neural Network - Neocognitron [Details]
André Carvalho
  • ESANN 2007 - Clustering using genetic algorithm combining validation criteria [Details]
Raul V. Casaña-Eslava
  • ESANN 2016 - Performance assessment of quantum clustering in non-spherical data distributions [Details]
Carlo Casarino
  • ESANN 2007 - informational cost in correlation-based neuronal networks [Details]
  • ESANN 2008 - Noise influence on correlated activities in a modular neuronal network: from synapses to functional connectivity [Details]
Juan P. Casas
  • ESANN 2014 - A Random Forest proximity matrix as a new measure for gene annotation [Details]
Roberto Casas
  • ESANN 2026 - Lightweight Personalisation for MEMS-Based Wearables: A Padel Stroke Recognition Case Study [Details]
Bruno Casella
  • ESANN 2024 - Federated Learning in a Semi-Supervised Environment for Earth Observation Data [Details]
  • ESANN 2024 - Federated Time Series Classification with ROCKET features [Details]
Naomi Caselli
  • ESANN 2023 - Exploring Strategies for Modeling Sign Language Phonology [Details]
Daniele Castellana
  • ESANN 2020 - Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data [Details]
Daniele Castellana
  • ESANN 2025 - Generate Polyphonic Music with Multivariate Masked Autoregressive Flow [Details]
Daniele Castellana
  • ESANN 2018 - Mixture of Hidden Markov Model as Tree Encoder [Details]
Alejandro Castellanos Alonso
  • ESANN 2024 - Human Activity Recognition from Thigh and Wrist Accelerometry [Details]
Claudio Castellanos Sánchez
  • ESANN 2008 - Neuromimetic motion indicator for visual perception [Details]
Germán Castellanos-Dominguez
  • ESANN 2013 - Automatic Singular Spectrum Analysis for Time-Series Decomposition [Details]
  • ESANN 2013 - Normalized cuts clustering with prior knowledge and a pre-clustering stage [Details]
  • ESANN 2013 - support vector machine-based aproach for multi-labelers problems [Details]
  • ESANN 2014 - A multi-class extension for multi-labeler support vector machines [Details]
  • ESANN 2014 - Optimal Data Projection for Kernel Spectral Clustering [Details]
Enrique Castillo
  • ESANN 2004 - Shear strength prediction using dimensional analysis and functional networks [Details]
  • ESANN 2005 - a new wrapper method for feature subset selection [Details]
F. Castillo
  • ESANN 1993 - Enhanced unit training for piecewise linear seperation incremental algorithms [Details]
  • ESANN 1994 - Improving piecewise linear separation incremental algorithms using complexity reduction methods [Details]
  • ESANN 1995 - A deterministic method for establishing the initial conditions in the RCE algorithm [Details]
Pedro A. Castillo
  • ESANN 2018 - Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir [Details]
Guillermo Castillo García
  • ESANN 2023 - Efficient feature selection for domain adaptation using Mutual Information Maximization [Details]
Guillermo Castillo García
  • ESANN 2022 - Feature selection for transfer learning using particle swarm optimization and complexity measures [Details]
Guillermo Castillo García
  • No papers found
Lauriane Castin
  • ESANN 2018 - clustering with decision trees: divisive and agglomerative approach [Details]