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
Udo Seiffert
  • ESANN 2004 - Theory and applications of neural maps [Details]
  • ESANN 2005 - Generalized Relevance LVQ with Correlation Measures for Biological Data [Details]
  • ESANN 2006 - Fuzzy image segmentation with Fuzzy Labelled Neural Gas [Details]
  • ESANN 2006 - Neural networks and machine learning in bioinformatics - theory and applications [Details]
  • ESANN 2006 - Sanger-driven MDSLocalize - a comparative study for genomic data [Details]
  • ESANN 2007 - Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS [Details]
  • ESANN 2008 - Machine learning approches and pattern recognition for spectral data [Details]
  • ESANN 2010 - Validation of unsupervised clustering methods for leaf phenotype screening [Details]
  • ESANN 2011 - Recent trends in computational intelligence in life sciences [Details]
  • ESANN 2012 - Classifying Scotch Whisky from near-infrared Raman spectra with a Radial Basis Function Network with Relevance Learning [Details]
  • ESANN 2012 - Hardware accelerated real time classification of hyperspectral imaging data for coffee sorting [Details]
  • ESANN 2013 - Processing Hyperspectral Data in Machine Learning [Details]
  • ESANN 2019 - Transfer Learning for transferring machine-learning based models among hyperspectral sensors [Details]
Udo Seiffert
  • ESANN 2022 - Federated learning vector quantization for dealing with drift between nodes [Details]
  • ESANN 2022 - From hyperspectral to multispectral sensing – from simulation to reality: A comprehensive approach for calibration model transfer [Details]
U. Seiffert
  • ESANN 2001 - Multiple Layer Perceptron training using genetic algorithms [Details]
  • ESANN 2002 - Artificial Neural Networks on Massively Parallel Computer Hardware [Details]
  • ESANN 2003 - Digital Image Processing with Neural Networks [Details]
Udo Seiffert
  • ESANN 2021 - Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data [Details]
Udo Seiffert
  • No papers found
Borja Seijo-Pardo
  • ESANN 2016 - Using a feature selection ensemble on DNA microarray datasets [Details]
  • ESANN 2018 - Analysis of imputation bias for feature selection with missing data [Details]
T. Seiler
  • ESANN 1998 - Perception and action selection by anticipation of sensorimotor consequences [Details]
S. Seki
  • ESANN 2003 - Cellular topographic self-organization under correlational learning [Details]
Mokhtar Sellami
  • ESANN 2005 - Artificial neural network fusion: Application to Arabic words recognition [Details]
Abderrahim Sellami
  • ESANN 2013 - Machine Learning Techniques for Short-Term Electric Power Demand Prediction [Details]
  • ESANN 2013 - Temperature Forecast in Buildings Using Machine Learning Techniques [Details]
Bernhard Sendhoff
  • ESANN 2005 - Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study [Details]
  • ESANN 2005 - Synergies between Evolutionary and Neural Computation [Details]
Stephane Senecal
  • ESANN 2014 - Extreme learning machines for Internet traffic classification [Details]
Mathieu Senelle
  • ESANN 2014 - The Sum-over-Forests clustering [Details]
Debarka Sengupta
  • ESANN 2021 - Enhash: A Fast Streaming Algorithm For Concept Drift Detection [Details]
Jose A. Seoane
  • ESANN 2014 - A Random Forest proximity matrix as a new measure for gene annotation [Details]
Miriam Seoane Santos
  • ESANN 2024 - Reconstruction of Mammography Projections using Image-to-Image Translation Techniques [Details]
Pierpaolo Sepe
  • ESANN 2021 - Inductive learning for product assortment graph completion [Details]
W. Sepp
  • ESANN 1999 - Recurrent V1-V2 interaction for early visual information processing [Details]
Jeremias Seppä
  • ESANN 2007 - Agglomerative Independent Variable Group Analysis [Details]
Thibaut Septon
  • ESANN 2024 - Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation [Details]
Hugo Serieys
  • ESANN 2020 - Adversarial domain adaptation without gradient reversal layer [Details]
R. Serneels
  • ESANN 1994 - Storage capacity of the reversed wedge perceptron with binary connections [Details]
Antonio J. Serrano
  • ESANN 2010 - Neural models for the analysis of kidney disease patients [Details]
Antonio-José Serrano López
  • ESANN 2021 - End-to-end Keyword Spotting using Xception-1d [Details]
Antonio J. Serrano-López
  • ESANN 2012 - Regularized Committee of Extreme Learning Machine for Regression Problems [Details]
Sohan Seth
  • ESANN 2011 - Statistical dependence measure for feature selection in microarray datasets [Details]
Dominik Seuss
  • ESANN 2020 - Verifying Deep Learning-based Decisions for Facial Expression Recognition [Details]
Zed Sevcikova Sehyr
  • ESANN 2023 - Exploring Strategies for Modeling Sign Language Phonology [Details]
Carlos Alberto Severiano Junior
  • ESANN 2018 - An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series [Details]
Eric Severin
  • ESANN 2014 - Finding Originally Mislabels with MD-ELM [Details]