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
Abraham Traoré
  • ESANN 2018 - Non-Negative Tensor Dictionary Learning [Details]
Rene Traore
  • ESANN 2021 - Compact Neural Architecture Search for Local Climate Zones Classification [Details]
  • ESANN 2024 - Leveraging performance-based metadata for designing multi-objective NAS strategies for efficient models in Earth Observation [Details]
Thomas Trappenberg
  • ESANN 2005 - A multi-modular associator network for simple temporal sequence learning and generation [Details]
  • ESANN 2005 - Coverage-performance estimation for classification with ambiguous data [Details]
Jérôme Treboux
  • ESANN 2021 - Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers [Details]
Nils André Treiber
  • ESANN 2015 - Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction [Details]
W. Trelak
  • ESANN 2003 - Extraction of fuzzy rules from trained neural network using evolutionary algorithm [Details]
E. Trentin
  • ESANN 1997 - Speaker normalization with a mixture of recurrent networks [Details]
Volker Tresp
  • ESANN 2017 - Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks [Details]
Volker Tresp
  • ESANN 2024 - Why long model-based rollouts are no reason for bad Q-value estimates [Details]
Sofia Triantafillou
  • ESANN 2011 - A constraint-based approach to incorporate prior knowledge in causal models [Details]
Jochen Triesch
  • ESANN 2006 - Exploring the role of intrinsic plasticity for the learning of sensory representations [Details]
  • ESANN 2006 - The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks [Details]
  • ESANN 2009 - A robust biologically plausible implementation of ICA-like learning [Details]
  • ESANN 2015 - Real-time activity recognition via deep learning of motion features [Details]
Jochen Triesch
  • ESANN 2020 - Recurrent Feedback Improves Recognition of Partially Occluded Objects [Details]
  • ESANN 2023 - CRE: Circle relationship embedding of patches in vision transformer [Details]
  • ESANN 2025 - Hierarchical Residuals Exploit Brain-Inspired Compositionality [Details]
Marco Trincavelli
  • ESANN 2021 - Inductive learning for product assortment graph completion [Details]
Quoc-Huy Trinh
  • ESANN 2023 - Graph for Transformer Feature: A New Approach for Face Anti-Spoofing [Details]
Matilde Tristany Farinha
  • ESANN 2020 - Equilibrium Propagation for Complete Directed Neural Networks [Details]
Nikolaus Troje
  • ESANN 2009 - Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine [Details]
Tuong Vinh Truong
  • ESANN 2009 - A self-training method for learning to rank with unlabeled data [Details]
V. Trybe
  • ESANN 1993 - Three algorithms for searching the minimum distance in the self-organizing maps [Details]
Grigorios Tsagkatakis
  • ESANN 2017 - Application of Tensor and Matrix Completion on Environmental Sensing Data [Details]
  • ESANN 2017 - Feature Extraction and Learning for RSSI based Indoor Device Localization [Details]
Panagiotis Tsakalides
  • ESANN 2017 - Application of Tensor and Matrix Completion on Environmental Sensing Data [Details]
  • ESANN 2017 - Feature Extraction and Learning for RSSI based Indoor Device Localization [Details]
Ioannis Tsamardinos
  • ESANN 2011 - A constraint-based approach to incorporate prior knowledge in causal models [Details]
  • ESANN 2011 - A unified approach to estimation and control of the False Discovery Rate in Bayesian network skeleton identification [Details]
Valeri Tsatsishvili
  • ESANN 2013 - Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis [Details]
Eleni Tsironi
  • ESANN 2016 - Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network [Details]
Ah Chung Tsoi
  • ESANN 2005 - Contextual Processing of Graphs using Self-Organizing Maps [Details]
  • ESANN 2008 - Self-Organizing Maps for cyclic and unbounded graphs [Details]
  • ESANN 2009 - Projection of undirected and non-positional graphs using Self Organizing Maps [Details]
  • ESANN 2011 - Sparsity Issues in Self-Organizing-Maps for Structures [Details]
  • ESANN 2013 - Cost-sensitive cascade graph neural networks [Details]
Ah Chung Tsoi
  • ESANN 2020 - Embedding of FRPN in CNN architecture [Details]
A.C. Tsoi
  • ESANN 1999 - A benchmark for testing adaptive systems on structured data [Details]
  • ESANN 2003 - An introduction to learning in web domains [Details]
R. Tsuda
  • ESANN 2001 - SOM competition for complex image scene with variant object positions [Details]
K. Tsuda
  • ESANN 1999 - Support vector classifier with asymetric kernel function [Details]
N. Tsuruta
  • ESANN 2001 - SOM competition for complex image scene with variant object positions [Details]
Mizuki Tsuta
  • ESANN 2009 - Comparison between linear discrimination analysis and support vector machine for detection of pesticide on spinach leaf by hyperspectral imaging with excitation-emission matrix [Details]