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
Daniel Tan
  • ESANN 2023 - Language Modeling in Logistics: Customer Calling Prediction [Details]
Fengzhen Tang
  • ESANN 2014 - Support Vector Ordinal Regression using Privileged Information [Details]
Sanli Tang
  • ESANN 2020 - A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning [Details]
Tong Boon Tang
  • ESANN 2006 - Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM) [Details]
Jafar Tanha
  • ESANN 2015 - Combining higher-order N-grams and intelligent sample selection to improve language modeling for Handwritten Text Recognition [Details]
Masataka Tanoue
  • ESANN 2004 - SOM algorithms and their stability consideration [Details]
Qinghua Tao
  • ESANN 2024 - Feature Learning using Multi-view Kernel Partial Least Squares [Details]
J.-P. Tarel
  • ESANN 2003 - Road Singularities Detection and Classification [Details]
Philippe Tarroux
  • ESANN 2005 - Contextual priming for artificial visual perception [Details]
  • ESANN 2006 - Saliency extraction with a distributed spiking neural network [Details]
  • ESANN 2008 - Visual focus with spiking neurons [Details]
  • ESANN 2011 - Visual place recognition using Bayesian filtering with Markov chains [Details]
P. Tarroux
  • ESANN 2002 - Multiresolution codes for scene categorization [Details]
Angelo Tartaglia
  • No papers found
Kadim Tasdemir
  • ESANN 2006 - Data topology visualization for the Self-Organizing Map [Details]
  • ESANN 2010 - An automated SOM clustering based on data topology [Details]
A.R. Tate
  • ESANN 2002 - The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals [Details]
M. Taupitz
  • ESANN 2001 - A local search method for pattern classification [Details]
Jukka Tauriainen
  • ESANN 2015 - Predicting the profitability of agricultural enterprises in dairy farming [Details]
Leonardo Tavares Oliveira
  • ESANN 2019 - Design of Power-Efficient FPGA Convolutional Cores with Approximate Log Multiplier [Details]
Ivano Tavernelli
  • ESANN 2020 - An quantum algorithm for feedforward neural networks tested on existing quantum hardware [Details]
D. Tax
  • ESANN 1999 - Data domain description using support vectors [Details]
Graham W. Taylor
  • ESANN 2017 - Structure optimization for deep multimodal fusion networks using graph-induced kernels [Details]
Graham W. Taylor
  • ESANN 2020 - Modular Length Control for Sentence Generation [Details]
Graham Taylor
  • ESANN 2009 - Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine [Details]
J.G. Taylor
  • ESANN 1993 - Traking global minima using a range expansion algorithm [Details]
J. G. Taylor
  • ESANN 2000 - Establishing retinotopy by lateral-inhibition type homogeneous neural fields [Details]
Josh Taylor
  • ESANN 2021 - A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN Similarity [Details]
Jacob Taylor
  • ESANN 2016 - Enhanced learning for agents in quantum-accessible environments [Details]
S.J. Taylor
  • ESANN 2002 - A data vizualisation method for investigating the reliability of a high-dimensional low-back-pain MLP network [Details]
Angela Taylor
  • ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
Mohamed Lamine Tazir
  • No papers found
Mohamed Lamine Tazir
  • ESANN 2022 - Semi-synthetic Data for Automatic Drone Shadow Detection [Details]
Rene te Boekhorst
  • ESANN 2008 - Discrimination of regulatory DNA by SVM on the basis of over- and under-represented motifs [Details]