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
Luiz Torres
  • ESANN 2019 - Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest [Details]
Luis Torres
  • ESANN 2023 - Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction [Details]
Luiz Torres
  • ESANN 2024 - Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings [Details]
Alberto Torres
  • ESANN 2014 - Sparse one hidden layer MLPs [Details]
  • ESANN 2015 - Solving constrained Lasso and Elastic Net using nu-SVMs [Details]
M.A. Torres
  • ESANN 2000 - Neurocontrol of a binary distillation column [Details]
Luiz Carlos Torres
  • ESANN 2015 - Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach [Details]
J.-M. Torres Moreno
  • ESANN 1995 - An evolutive architecture coupled with optimal perceptron learning for classification [Details]
  • ESANN 1997 - Numerical simulations of an optimal algorithm for supervised learning [Details]
Cesar Torres-Huitzil
  • ESANN 2006 - FPGA implementation of an integrate-and-fire LEGION model for image segmentation [Details]
Domenico Tortorella
  • ESANN 2021 - Dynamic Graph Echo State Networks [Details]
  • ESANN 2022 - Beyond Homophily with Graph Echo State Networks [Details]
  • ESANN 2023 - Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm [Details]
  • ESANN 2023 - Richness of Node Embeddings in Graph Echo State Networks [Details]
  • ESANN 2024 - Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification [Details]
André Torvestad
  • ESANN 2024 - Exploring High- and Low-Density Electroencephalography for a Dream Decoding Brain-Computer Interface [Details]
  • ESANN 2024 - Unveiling Dreams: Moving Towards Automatic Dream Decoding via PSD-Based EEG Analysis and Machine Learning [Details]
Alessandra Tosi
  • ESANN 2012 - Averaging of kernel functions [Details]
  • ESANN 2012 - Cartogram representation of the batch-SOM magnification factor [Details]
  • ESANN 2013 - Robust cartogram visualization of outliers in manifold learning [Details]
Marc Toussaint
  • ESANN 2015 - Discovering temporally extended features for reinforcement learning in domains with delayed causalities [Details]
  • ESANN 2015 - Fast greedy insertion and deletion in sparse Gaussian process regression [Details]
Claude Touzet
  • ESANN 2005 - Neuromimetic model of interval timing [Details]
C. Touzet
  • ESANN 1994 - Extending immediate reinforcement learning on neural networks to multiple actions [Details]
  • ESANN 1994 - Reinforcement learning and neural reinforcement learning [Details]
Zaid Towfic
  • ESANN 2012 - Distributed learning via Diffusion adaptation with application to ensemble learning [Details]
Dorra Trabelsi
  • ESANN 2012 - Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors [Details]
Panos Trahanias
  • ESANN 2011 - Time Experiencing by Robotic Agents [Details]
  • ESANN 2017 - Feature Extraction and Learning for RSSI based Indoor Device Localization [Details]
Marco Tramontano
  • ESANN 2021 - Deep Echo State Networks for Functional Ambulation Categories Estimation [Details]
Dat Tran
  • ESANN 2014 - Tensor decomposition of dense SIFT descriptors in object recognition [Details]
  • ESANN 2014 - Using Shannon Entropy as EEG Signal Feature for Fast Person Identification [Details]
  • ESANN 2016 - Fast Support Vector Clustering [Details]
Van-Tinh Tran
  • ESANN 2017 - Reducing variance due to importance weighting in covariate shift bias correction [Details]
Loc Tran
  • ESANN 2024 - Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms [Details]
Van Dinh Tran
  • ESANN 2018 - DEEP: decomposition feature enhancement procedure for graphs [Details]
Viet Chi Tran
  • ESANN 2011 - Hierarchical clustering for graph visualization [Details]
Dinh Van Tran
  • ESANN 2019 - On the definition of complex structured feature spaces [Details]
Dinh Tran Van
  • ESANN 2017 - The Conjunctive Disjunctive Node Kernel [Details]
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]