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
Pierre CHAUVET
  • No papers found
Marie Chavent
  • ESANN 2020 - Sparse K-means for mixed data via group-sparse clustering [Details]
  • ESANN 2026 - mDAE: modified Denoising AutoEncoder for missing data imputation [Details]
Maxence Chaverot
  • ESANN 2021 - Object Detection on Thermal Images: Performance of YOLOv4 Trained on Small Datasets [Details]
Paulo Chaves
  • No papers found
Diego Chavez-Chamorro
  • ESANN 2013 - Normalized cuts clustering with prior knowledge and a pre-clustering stage [Details]
C. Chavy
  • ESANN 2002 - Neural predictive coding for speech discriminant feature extraction: The DFE-NPC [Details]
Aymeric CHAZOTTES
  • ESANN 2005 - Mixed Topological Map [Details]
G.H.L. Cheang
  • ESANN 2001 - Penalized least squares, model selection, convex hull classes and neural nets [Details]
Nicolas CHEIFETZ
  • ESANN 2012 - A CUSUM approach for online change-point detection on curve sequences [Details]
  • ESANN 2017 - Extracting urban water usage habits from smart meter data: a functional clustering approach [Details]
Lena Chekina
  • ESANN 2012 - Introducing diversity among the models of multi-label classification ensemble [Details]
Zaineb CHELLY DAGDIA
  • ESANN 2023 - TabSRA: An Attention based Self-Explainable Model for Tabular Learning [Details]
Weiliang Chen
  • ESANN 2008 - Using graph-theoretic measures to predict the performance of associative memory models [Details]
Xi Chen
  • ESANN 2023 - Language Modeling in Logistics: Customer Calling Prediction [Details]
Mickael CHEN
  • ESANN 2018 - transferring style in motion capture sequences with adversarial learning [Details]
Jianshu Chen
  • ESANN 2012 - Distributed learning via Diffusion adaptation with application to ensemble learning [Details]
Jun Chen
  • ESANN 2015 - A new fuzzy neural system with applications [Details]
Hao Chen
  • ESANN 2013 - Efficient VLSI Architecture for Spike Sorting Based on Generalized Hebbian Algorithm [Details]
Minyou Chen
  • ESANN 2005 - Artificial intelligence techniques for the prediction of bladder cancer progression [Details]
Xiangyun Chen
  • ESANN 2026 - Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models [Details]
Haoyan Chen
  • ESANN 2018 - Anomaly detection in star light curves using hierarchical Gaussian processes [Details]
Huanhuan Chen
  • ESANN 2014 - Support Vector Ordinal Regression using Privileged Information [Details]
Xu Chenhao
  • ESANN 2017 - Learning convolutional neural network to maximize Pos@Top performance measure [Details]
R. Chentouf
  • ESANN 1996 - Combining sigmoids and radial basis functions in evolutive neural architectures [Details]
Aymen Cherif
  • ESANN 2018 - Image retrieval and ranking through Deep Comparative Neural Networks [Details]
Aymen Cherif
  • ESANN 2020 - Adversarial domain adaptation without gradient reversal layer [Details]
S. Chernov
  • ESANN 2000 - Application of MLP and stochastic simulations for electricity load forecasting in Russia [Details]
Nadezda Chernyavskaya
  • ESANN 2023 - Knowledge Distillation for Anomaly Detection [Details]
G. Cheron
  • ESANN 1993 - An efficient learning model for the neural integrator of the oculomotor system [Details]
  • ESANN 1995 - Identification of the human arm kinetics using dynamic recurrent neural networks [Details]
  • ESANN 1996 - Adaptative time constants improve the dynamic features of recurrent neural networks [Details]
  • ESANN 1996 - Negative initial weights improve learning in recurrent neural networks [Details]
  • ESANN 1997 - Evidence of efficiency of recurrent neural networks with ARMA-like units [Details]
  • ESANN 1998 - Control of a subsonic electropneumatic acoustic generator with dynamic recurrent neural networks [Details]
Manuela Chessa
  • ESANN 2009 - A neural model for binocular vergence control without explicit calculation of disparity [Details]
M. Chetouani
  • ESANN 2002 - Neural predictive coding for speech discriminant feature extraction: The DFE-NPC [Details]