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
Sander Dieleman
  • ESANN 2016 - Spatial Chirp-Z Transformer Networks [Details]
M. Diepenhorst
  • ESANN 1995 - Cascade learning for FIR-TDNNs [Details]
Klaus Diepold
  • No papers found
Klaus Diepold
  • ESANN 2022 - Deep Convolutional Neural Networks with Sequentially Semiseparable Weight Matrices [Details]
G.H.F. Diercksen
  • ESANN 2001 - Constructive density estimation network based on several different separable transfer functions [Details]
Tom Diethe
  • ESANN 2016 - Active transfer learning for activity recognition [Details]
  • ESANN 2018 - Anomaly detection in star light curves using hierarchical Gaussian processes [Details]
Klaas Dijkstra
  • ESANN 2013 - Prior knowledge in an end-user trainable machine vision framework [Details]
  • ESANN 2017 - Hyper-spectral frequency selection for the classification of vegetation diseases [Details]
Manuel Dileo
  • ESANN 2024 - Link prediction heuristics for temporal graph benchmark [Details]
M. Diligenti
  • ESANN 2001 - Searching the Web: learning based techniques [Details]
  • ESANN 2003 - An introduction to learning in web domains [Details]
Mohamed Djallel DILMI
  • ESANN 2023 - TabSRA: An Attention based Self-Explainable Model for Tabular Learning [Details]
Solohaja-Faniaha Dimby
  • ESANN 2012 - Quantile regression with multilayer perceptrons. [Details]
Christos Dimitrakakis
  • ESANN 2020 - Epistemic Risk-Sensitive Reinforcement Learning [Details]
Giovanna Maria Dimitri
  • No papers found
Nowicki Dimitri
  • ESANN 2005 - Averaging on Riemannian manifolds and unsupervised learning using neural associative memory [Details]
Giovanna Maria Dimitri
  • ESANN 2022 - Deep Learning Approaches for mice glomeruli segmentation [Details]
  • ESANN 2022 - Deep Semantic Segmentation Models in Computer Vision [Details]
  • ESANN 2022 - Detection and Localization of GAN Manipulated Multi-spectral Satellite Images [Details]
Valentina Dini
  • ESANN 2017 - Physical activity recognition from sub-bandage sensors using both feature selection and extraction [Details]
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]
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]