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
Suresh Chandra
  • No papers found
Arjun Chandra
  • ESANN 2005 - Evolutionary framework for the construction of diverse hybrid ensembles [Details]
C. Chandra Sekhar
  • ESANN 2001 - Recognition of consonant-vowel utterances using Support Vector Machines [Details]
Pramod Chandrashekhariah
  • ESANN 2015 - Real-time activity recognition via deep learning of motion features [Details]
F. Chapeau-Blondeau
  • ESANN 1994 - An explicit comparison of spike dynamics and firing rate dynamics in neural network modeling [Details]
P. Chapelle
  • ESANN 1995 - Active noise control with dynamic recurrent neural networks [Details]
N. Charkani
  • ESANN 1997 - Optimization of the asymptotic performance of time-domain convolutive source separation algorithms [Details]
Darryl Charles
  • ESANN 2008 - Improvement in Game Agent Control Using State-Action Value Scaling [Details]
D. Charles
  • ESANN 1999 - Neural networks which identify composite factors [Details]
  • ESANN 1999 - Noise to extract independent causes [Details]
  • ESANN 2001 - Rectified Gaussian distributions and the formation of local filters from video data [Details]
  • ESANN 2001 - Unsupervised models for processing visual data [Details]
  • ESANN 2002 - Exploratory Correlation Analysis [Details]
Guillaume Charpiat
  • ESANN 2025 - Growth strategies for arbitrary DAG neural architectures [Details]
Sylvain Chartier
  • ESANN 2013 - Unsupervised non-linear neural networks capture aspects of floral choice behaviour [Details]
Guillaume Chaslot
  • ESANN 2009 - On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers [Details]
Clément Chatelain
  • ESANN 2016 - Deep multi-task learning with evolving weights [Details]
Arnab Chatterjee
  • ESANN 2020 - MultiMBNN: Matched and Balanced Causal Inference with Neural Networks [Details]
Sarthak Chatterjee
  • ESANN 2021 - IF: Iterative Fractional Optimization [Details]
Amit Chattopadhyay
  • ESANN 2012 - Range-based non-orthogonal ICA using cross-entropy method [Details]
Pierre CHAUVET
  • No papers found
P. Chauvet
  • ESANN 1993 - The purkinje unit of the cerebellum as a model of a stable neural network [Details]
G. Chauvet
  • ESANN 1993 - The purkinje unit of the cerebellum as a model of a stable neural network [Details]
Pierre CHAUVET
  • ESANN 2022 - 1D vs 2D convolutional neural networks for scalp high frequency oscillations identification [Details]
  • ESANN 2025 - O-Net: a Brain Tumor segmentation architecture based on U-Net using alternated Pooling [Details]
Marie Chavent
  • ESANN 2020 - Sparse K-means for mixed data via group-sparse clustering [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]