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
Miguel T. Coimbra
  • ESANN 2014 - reject option paradigm for the reduction of support vectors [Details]
Alan T. L. Bacellar
  • ESANN 2020 - Fast Deep Neural Networks Convergence using a Weightless Neural Model [Details]
  • ESANN 2022 - A WiSARD-based conditional branch predictor [Details]
  • ESANN 2022 - Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks [Details]
  • ESANN 2022 - Pruning Weightless Neural Networks [Details]
Jacek Tabor
  • ESANN 2020 - Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models [Details]
Francesco Tacchino
  • ESANN 2020 - An quantum algorithm for feedforward neural networks tested on existing quantum hardware [Details]
Yamina Tadjeddine
  • ESANN 2004 - Description of the Group Dynamic of Funds’ Managers using Kohonen’s Map [Details]
Woubishet Taffese
  • ESANN 2015 - Prediction of concrete carbonation depth using decision trees [Details]
Abolfazl Taghribi
  • ESANN 2020 - ASAP - A Sub-sampling Approach for Preserving Topological Structures [Details]
Aboozar Taherkhani
  • ESANN 2014 - A new biologically plausible supervised learning method for spiking neurons [Details]
Fadoua Taia-Alaoui
  • ESANN 2024 - LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables. [Details]
M. Tajine
  • ESANN 1997 - The class of linear separability method [Details]
Ludmilla Tajtelbom
  • ESANN 2015 - Designing semantic feature spaces for brain-reading [Details]
Ricardo Takahashi
  • ESANN 2007 - A new decision strategy in multi-objective training of the artificial neural networks [Details]
T. Takahashi
  • ESANN 1998 - Analyses on the temporal patterns of spikes of auditory neurons by a neural network and tree-based models [Details]
Yosiyuki Takahasi
  • ESANN 2007 - An Estimation of Response Certainty using Features of Eye-movements [Details]
Pyry Takala
  • ESANN 2016 - Word Embeddings for Morphologically Rich Languages [Details]
K. Takeda
  • ESANN 2001 - Recognition of consonant-vowel utterances using Support Vector Machines [Details]
Y. Takefuji
  • ESANN 1998 - Grouping complex face parts by nonlinear oscillations [Details]
Tomasz Talaska
  • 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 2012 - Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS Technology [Details]
Nicola Talbot
  • ESANN 2004 - Sparse Bayesian kernel logistic regression [Details]
N.L.C. Talbot
  • ESANN 2002 - Efficient formation of a basis in a kernel induced feature space [Details]
  • ESANN 2002 - Fast exact leave-one-out cross-validation of least-squares Support Vector Machines [Details]
  • ESANN 2002 - Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality [Details]
  • ESANN 2003 - Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression [Details]
N. L. C. Talbot
  • ESANN 2003 - Efficient cross-validation of kernel fisher discriminant classifiers [Details]
A. Taleb
  • ESANN 1997 - Nonlinear source separation: the post-nonlinear mixtures [Details]
  • ESANN 2000 - Parametric approach to blind deconvolution of nonlinear channels [Details]
Jaakko Talonen
  • ESANN 2009 - SOM based methods in early fault detection of nuclear industry [Details]
Nirzor Talukder
  • ESANN 2024 - Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations [Details]
Mattia Tambaro
  • ESANN 2023 - Real-time Detection of Evoked Potentials by Deep Learning: a Case Study [Details]
Guglielmo Tamburrini
  • ESANN 2019 - Explaining classification systems using sparse dictionaries [Details]
Satu Tamminen
  • ESANN 2024 - Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations [Details]
Shan Tan
  • ESANN 2005 - Radar target recognition using SVMs with a wrapper feature selection driven by immune clonal algorithm [Details]
  • ESANN 2005 - new evidences for sparse coding strategy employed in visual neurons: from the image processing and nonlinear approximation viewpoint [Details]
L. Tan
  • ESANN 2001 - Sparse Kernel Canonical Correlation Analysis [Details]
Y. Tan
  • ESANN 1994 - Stability analysis of diagonal recurrent neural networks [Details]
  • ESANN 1995 - Neural network based one-step ahead control and its stability [Details]