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
Nestor Caticha
  • ESANN 2019 - Statistical physics of learning and inference [Details]
  • ESANN 2019 - Trust, law and ideology in a NN agent model of the US Appellate Courts [Details]
Jim W.F. Catto
  • ESANN 2005 - Artificial intelligence techniques for the prediction of bladder cancer progression [Details]
Philip Cavaco
  • No papers found
Alvaro Leandro Cavalcante Carneiro
  • ESANN 2023 - Large-scale dataset and benchmarking for hand and face detection focused on sign language [Details]
Stefano Cavuoti
  • ESANN 2018 - stellar formation rates in galaxies using machine learning models [Details]
G.C. Cawley
  • 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]
G. C. Cawley
  • ESANN 2003 - Efficient cross-validation of kernel fisher discriminant classifiers [Details]
  • ESANN 2003 - Statistical downscaling with artificial neural networks [Details]
Gavin Cawley
  • ESANN 2004 - Sparse Bayesian kernel logistic regression [Details]
  • ESANN 2005 - sparse Bayesian promoter based gene classification [Details]
  • ESANN 2007 - Model Selection for Kernel Probit Regression [Details]
Remy Cazabet
  • ESANN 2017 - Using degree constrained gravity null-models to understand the structure of journeys' networks in bicycle sharing systems [Details]
A.L. Cechin
  • ESANN 1996 - The extraction of Sugeno fuzzy rules from neural networks [Details]
Hubert Cecotti
  • ESANN 2009 - Neural network pruning for feature selection - Application to a P300 Brain-Computer Interface [Details]
ASLI CELIK
  • ESANN 2024 - Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites [Details]
Andrea Ceni
  • ESANN 2022 - Orthogonality in Additive Echo State Networks [Details]
  • ESANN 2023 - Improving Fairness via Intrinsic Plasticity in Echo State Networks [Details]
  • ESANN 2023 - Residual Reservoir Computing Neural Networks for Time-series Classification [Details]
  • ESANN 2024 - Enhancing Echo State Networks with Gradient-based Explainability Methods [Details]
  • ESANN 2024 - Reservoir Memory Networks [Details]
  • ESANN 2025 - A Model of Memristive Nanowire Neuron for Recurrent Neural Networks [Details]
  • ESANN 2025 - Towards Adaptive and Stable Compositional Assemblies of Recurrent Neural Network Modules [Details]
Andrea Ceni
  • No papers found
Mauricio Cerda
  • ESANN 2008 - A neural model with feedback for robust disambiguation of motion [Details]
Christophe Cerisara
  • ESANN 2020 - Seq-to-NSeq model for multi-summary generation [Details]
Mattia Cerrato
  • ESANN 2023 - Hierarchical priors for Hyperspherical Prototypical Networks [Details]
Joana Cervino-Rabunal
  • ESANN 2014 - Toward parallel feature selection from vertically partitioned data [Details]
Bruno Cessac
  • ESANN 2012 - Using event-based metric for event-based neural network weight adjustment [Details]
Yuanyuan Chai
  • ESANN 2015 - A new fuzzy neural system with applications [Details]
Amine Chaibi
  • ESANN 2012 - Automatic Group-Outlier Detection [Details]
Pierre Chainais
  • ESANN 2006 - Modelling switching dynamics using prediction experts operating on distinct wavelet scales [Details]
  • ESANN 2006 - Probabilistic classifiers and time-scale representations: application to the monitoring of a tramway guiding system [Details]
Pierre Chainais
  • No papers found
Pierre Chainais
  • ESANN 2022 - Sliced-Wasserstein normalizing flows: beyond maximum likelihood training [Details]
imen chakroun
  • ESANN 2018 - Cache-efficient Gradient Descent Algorithm [Details]
I. Chalkiadakis
  • ESANN 2001 - A structural genetic algorithm to optimize High Order Neural Network architecture [Details]
N. Chambet
  • ESANN 1994 - An explicit comparison of spike dynamics and firing rate dynamics in neural network modeling [Details]
Faicel Chamroukhi
  • ESANN 2009 - A regression model with a hidden logistic process for signal parametrization [Details]
  • ESANN 2012 - Functional Mixture Discriminant Analysis with hidden process regression for curve classification [Details]
  • ESANN 2012 - Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors [Details]
  • ESANN 2014 - Bayesian non-parametric parsimonious clustering [Details]
  • ESANN 2016 - Bayesian mixture of spatial spline regressions [Details]
  • ESANN 2018 - Regularised maximum-likelihood inference of mixture of experts for regression and clustering [Details]
Lai-Wan Chan
  • ESANN 2005 - To apply score function difference based ICA algorithms to high-dimensional data [Details]
Gunjan Chandra
  • ESANN 2024 - Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations [Details]