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
John Yearwood
  • ESANN 2004 - A Modular Framework for Multi category feature selection in Digital mammography [Details]
Eva Yebra-Pimentel Vilar
  • ESANN 2016 - On the analysis of feature selection techniques in a conjunctival hyperemia grading framework [Details]
C.-M. Yeh
  • ESANN 2003 - Robust Vector Quantization for Burst Error Channels Using Genetic Algorithm [Details]
Luh Yen
  • ESANN 2005 - clustering using a random walk based distance measure [Details]
Sasikanchana Yenaeng
  • ESANN 2011 - Stability of Neural Network Control for Uncertain Sampled-Data Systems [Details]
Soh Yeng Chai
  • ESANN 2010 - Random search enhancement of error minimized extreme learning machine [Details]
Florian Yger
  • ESANN 2020 - Estimating Individual Treatment Effects through Causal Populations Identification [Details]
  • ESANN 2020 - Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent [Details]
Florian Yger
  • No papers found
Florian Yger
  • ESANN 2022 - Challenges in anomaly and change point detection [Details]
Florian Yger
  • ESANN 2011 - A supervised strategy for deep kernel machine [Details]
  • ESANN 2011 - Selecting from an infinite set of features in SVM [Details]
Florian Yger
  • ESANN 2025 - 3-WL GNNs for Metric Learning on Graphs [Details]
ILKAY YILDIZ POTTER
  • No papers found
ILKAY YILDIZ POTTER
  • ESANN 2022 - Dynamics-aware Representation Learning via Multivariate Time Series Transformers [Details]
Fang Ying
  • ESANN 2019 - Noise helps optimization escape from saddle points in the neural dynamics [Details]
Yiming Ying
  • ESANN 2009 - A Variational Approach to Semi-Supervised Clustering [Details]
Q. Yingjian
  • ESANN 2003 - Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks [Details]
Hadjer Ykhlef
  • No papers found
Maria Yli-Heikkilä
  • ESANN 2015 - Predicting the profitability of agricultural enterprises in dairy farming [Details]
Jarkko Ylipaavalniemi
  • ESANN 2007 - Functional elements and networks in fMRI [Details]
F. Yong
  • ESANN 1997 - Neural network adative wavelets for function approximation [Details]
Jungeun Yoon
  • ESANN 2023 - Hybrid Deep Learning-Based Air and Water Quality Prediction Model [Details]
Y. Yoshiki
  • ESANN 2001 - SOM competition for complex image scene with variant object positions [Details]
Junichiro Yoshimoto
  • ESANN 2010 - Free-energy-based reinforcement learning in a partially observable environment [Details]
David Young
  • No papers found
David Young
  • ESANN 2022 - High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits [Details]
Karim Youssef
  • ESANN 2011 - Approaches for Automatic Speaker Recognition in a Binaural Humanoid Context [Details]
Alexander Ypma
  • ESANN 2004 - Novel approximations for inference and learning in nonlinear dynamical systems [Details]
  • ESANN 2009 - Bayesian periodogram smoothing for speech enhancement [Details]
A. Ypma
  • ESANN 1996 - Time series prediction using neural networks and its application to artificial human walking [Details]
Zhengyang Yu
  • ESANN 2023 - CRE: Circle relationship embedding of patches in vision transformer [Details]
Dasong Yu
  • ESANN 2023 - Hybrid Deep Learning-Based Air and Water Quality Prediction Model [Details]