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
M. Sgarbi
  • ESANN 1997 - Performance of weighted radial basis function classifiers [Details]
  • ESANN 1998 - A comparison between weighted radial basis functions and wavelet networks [Details]
  • ESANN 1998 - A neural approach to a sensor fusion problem [Details]
  • ESANN 1999 - Neuro-wavelet parametric characterization of hardness profiles [Details]
  • ESANN 1999 - Orthogonal least square algorithm applied to the initialization of multi-layer perceptrons [Details]
  • ESANN 2000 - Training activation function in parametric classification [Details]
Cedric Shackleton
  • ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
Mohammad Bagher SHAMSOLLAHI
  • ESANN 2016 - Unsupervised Cross-Subject BCI Learning and Classification using Riemannian Geometry [Details]
Bracha Shapira
  • ESANN 2012 - Introducing diversity among the models of multi-label classification ensemble [Details]
Ankit Sharma
  • ESANN 2020 - MultiMBNN: Matched and Balanced Causal Inference with Neural Networks [Details]
Monika Sharma
  • ESANN 2021 - Data-Efficient Training of High-Resolution Images in Medical Domain [Details]
  • ESANN 2021 - TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words [Details]
Ken Sharman
  • ESANN 2006 - Using distributed genetic programming to evolve classifiers for a brain computer interface [Details]
  • ESANN 2007 - Electroencephalogram signal classification for brain computer interfaces using wavelets and support vector machines [Details]
Sadia Sharmin
  • No papers found
J. Shawe-Taylor
  • ESANN 1995 - Neural networks for invariant pattern recognition [Details]
  • ESANN 1999 - A multiplicative updating algorithm for training support vector machine [Details]
John Shawe-Taylor
  • ESANN 2006 - Synthesis of maximum margin and multiview learning using unlabeled data [Details]
Hooman Shayani
  • ESANN 2008 - An FPGA-based model suitable for evolution and development of spiking neural networks [Details]
Yuan Shen
  • ESANN 2009 - A variational radial basis function approximation for diffusion processes [Details]
A. Shepherd
  • ESANN 1993 - Traking global minima using a range expansion algorithm [Details]
Zhengxiang Shi
  • ESANN 2022 - Attention-based Ingredient Phrase Parser [Details]
  • ESANN 2023 - Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis [Details]
Javen Shi
  • ESANN 2024 - Invariant Representation Learning for Generalizable Imitation [Details]
Zhengxiang Shi
  • No papers found
Qingjiang Shi
  • ESANN 2024 - An Efficient Neural Architecture Search Model for Medical Image Classification [Details]
Timothy J. Shields
  • ESANN 2017 - Structure optimization for deep multimodal fusion networks using graph-induced kernels [Details]
Elcio Shiguemori
  • ESANN 2019 - Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest [Details]
Jerry Shih
  • ESANN 2018 - interpretation of convolutional neural networks for speech regression from electrocorticography [Details]
Y. Shimizu
  • ESANN 2002 - An estimation model of pupil size for 'Blink Artifact' and it's applications [Details]
  • ESANN 2003 - Subject Categorization for Web Educational Resources using MLP [Details]
Shohei Shimizu
  • ESANN 2017 - A novel principle for causal inference in data with small error variance [Details]
K. Shimohara
  • ESANN 1999 - Heterogeneity enhanced order in a chaotic neural network [Details]
Gautam Shroff
  • ESANN 2020 - MultiMBNN: Matched and Balanced Causal Inference with Neural Networks [Details]
Gautam Shroff
  • ESANN 2015 - Long Short Term Memory Networks for Anomaly Detection in Time Series [Details]
  • ESANN 2017 - TimeNet: Pre-trained deep recurrent neural network for time series classification [Details]
  • ESANN 2018 - Evolutionary RL for Container Loading [Details]
  • ESANN 2019 - Fusing Features based on Signal Properties and TimeNet for Time Series Classification [Details]
Kaushal Kumar Shukla
  • No papers found
Mariya Shumska
  • ESANN 2023 - Multispectral Texture Classification in Agriculture [Details]
J. Si
  • ESANN 1997 - Blind equalization with a linear feedforward neural network [Details]
Nor Zainah Siau
  • No papers found
Kirill Sidorov
  • ESANN 2024 - Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text [Details]