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
Laura Dioșan
  • ESANN 2018 - Dynamic autonomous image segmentation based on Grow Cut [Details]
Laura Diosan
  • ESANN 2008 - Automatic alignment of medical vs. general terminologies [Details]
F. Diotalevi
  • ESANN 2001 - Weight perturbation learning algorithm with local learning rate adaptation for the classification of remote-sensing images [Details]
Alessandro Dipalma
  • ESANN 2025 - Robustness in Protein-Protein Interaction Networks: A Link Prediction Approach [Details]
M. Dittenbach
  • ESANN 2000 - Using Growing hierarchical self-organizing maps for document classification [Details]
Michael Dittenbach
  • ESANN 2005 - Graph projection techniques for Self-Organizing Maps [Details]
Amina Djelloul
  • ESANN 2020 - Resume: A Robust Framework for Professional Profile Learning & Evaluation [Details]
Moussab Djerrab
  • ESANN 2018 - Learning with a Fisher surrogate loss in a small data regime [Details]
Rafal Dlugosz
  • ESANN 2007 - Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 um Technology [Details]
  • ESANN 2008 - Initialization mechanism in Kohonen neural network implemented in CMOS technology [Details]
  • ESANN 2008 - Parallel asynchronous neighborhood mechanism for WTM Kohonen network implemented in CMOS technology [Details]
  • ESANN 2009 - Hardware Implementation Issues of the Neighborhood Mechanism in Kohonen Self Organized Feature Maps [Details]
  • ESANN 2009 - Lukasiewicz fuzzy logic networks and their ultra low power hardware implementation [Details]
  • ESANN 2010 - Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology [Details]
  • ESANN 2011 - Fisherman learning algorithm of the SOM realized in the CMOS technology [Details]
  • ESANN 2012 - Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA [Details]
  • ESANN 2012 - Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS Technology [Details]
  • ESANN 2014 - An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing Maps [Details]
Tuan Do
  • ESANN 2017 - Fine-grained event learning of human-object interaction with LSTM-CRF [Details]
Lorand Dobai
  • ESANN 2019 - A document detection technique using convolutional neural networks for optical character recognition systems [Details]
Nicolas Dobigeon
  • ESANN 2022 - Sliced-Wasserstein normalizing flows: beyond maximum likelihood training [Details]
Nicolas Dobigeon
  • No papers found
Tony Dodd
  • ESANN 2005 - Generalised Cross Validation for Noise-Free Data [Details]
Jesse De Does
  • ESANN 2015 - Combining higher-order N-grams and intelligent sample selection to improve language modeling for Handwritten Text Recognition [Details]
Radu Dogaru
  • ESANN 2020 - Improving Light-weight Convolutional Neural Networks for Face Recognition Targeting Resource Constrained Platforms [Details]
R. Dogaru
  • ESANN 1996 - Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddings [Details]
Narjes Doggaz
  • ESANN 2025 - Proactive Privacy Risk Assessment for Android Applications: A Machine Learning Based-Approach [Details]
Kevin Doherty
  • ESANN 2004 - Non-Euclidean norms and data normalisation [Details]
  • ESANN 2005 - TreeGNG - hierarchical topological clustering [Details]
  • ESANN 2006 - Topological Correlation [Details]
Patrick Doherty
  • ESANN 2019 - Deep RL for autonomous robots: limitations and safety challenges [Details]
Klaus Dohmen
  • ESANN 2025 - Learning of Probability Estimates for System and Network Reliability Analysis by Means of Matrix Learning Vector Quantization [Details]
  • ESANN 2025 - Towards Learning Vector Quantization in the Setting of Homomorphic Encryption [Details]
Vladislav Dolganov
  • ESANN 2015 - PCA-based algorithm for feature score measures ensemble construction [Details]
Sergey Dolgobrodov
  • ESANN 2005 - An artificial neural network for analysing the survival of patients with colorectal cancer [Details]
Kristin Domaschke
  • ESANN 2014 - Utilization of Chemical Structure Information for Analysis of Spectra Composites [Details]
  • ESANN 2015 - Learning matrix quantization and variants of relevance learning [Details]
Inês Domingues
  • ESANN 2018 - Interpreting deep learning models for ordinal problems [Details]
Enrique Domínguez
  • ESANN 2010 - An ART-type network approach for video object detection [Details]
  • ESANN 2010 - Web Document Clustering based on a Hierarchical Self-Organizing Model [Details]
Manuel Domínguez
  • ESANN 2017 - Latent variable analysis in hospital electric power demand using non-negative matrix factorization [Details]
E. Domínguez Merino
  • ESANN 2003 - Neural Network Algorithms for the p-Median Problem [Details]
R. Dominguez-Castro
  • ESANN 2001 - CMOS design of focal plane programmable array processors [Details]
C. Domnisoru
  • ESANN 2002 - Double self-organizing maps to cluster gene expression data [Details]
  • ESANN 2002 - Improving robustness of fuzzy gene modeling [Details]