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
Sujay Khandagale
  • ESANN 2019 - A Simple and Effective Scheme for Data Pre-processing in Extreme Classification [Details]
Sujay Khandagale
  • ESANN 2020 - Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification [Details]
Natalia Khanzhina
  • ESANN 2018 - Pollen grain recognition using convolutional neural network [Details]
Sonia Khatchadourian
  • ESANN 2008 - Neural network hardware architecture for pattern recognition in the HESS2 project [Details]
Hamamache Kheddouci
  • ESANN 2021 - Predicting employee attrition with a more effective use of historical events [Details]
Reshma Khemchandani
  • No papers found
Pornchai Khlaeo-om
  • ESANN 2005 - A Stability Condition for Neural Network Control of Uncertain Systems [Details]
  • ESANN 2011 - Stability of Neural Network Control for Uncertain Sampled-Data Systems [Details]
Fech Scen Khoo
  • ESANN 2021 - Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression [Details]
Nicolas Khoury
  • ESANN 2024 - Multidimensional CDTW-based features for Parkinson's Disease classification [Details]
Nicolas KHOURY
  • ESANN 2018 - CDTW-based classification for Parkinson's Disease diagnosis [Details]
Nina Kieberger
  • ESANN 2021 - Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors [Details]
C. Kiesling
  • ESANN 2002 - Hardware solutions for implementation of neural networks in High Energy Physics triggers [Details]
Nikhil Kilari
  • ESANN 2022 - Appearance-Context aware Axial Attention for Fashion Landmark Detection [Details]
Nikhil Kilari
  • No papers found
To Eun Kim
  • No papers found
DaeEun Kim
  • ESANN 2009 - A neural network model of landmark recognition in the fiddler crab, Uca lactea [Details]
  • ESANN 2011 - A Neural Filter for Electrolocation in Weakly Electric Fish [Details]
To Eun Kim
  • ESANN 2022 - Attention-based Ingredient Phrase Parser [Details]
Chanho Kim
  • ESANN 2021 - Temperature as a Regularizer for Semantic Segmentation [Details]
D. Kim
  • ESANN 2003 - An Analysis of Synchrony Conditions for Integrate-and-Fire Neurons [Details]
Min Soo Kim
  • ESANN 2019 - Design of Power-Efficient FPGA Convolutional Cores with Approximate Log Multiplier [Details]
M. Kimura
  • ESANN 2003 - Modeling of growing networks with directional attachment and communities [Details]
Jamie Kiros
  • ESANN 2020 - Modular Length Control for Sentence Generation [Details]
Murat Kirtay
  • ESANN 2018 - Spatial pooling as feature selection method for object recognition [Details]
Matthias Kissel
  • ESANN 2022 - Deep Convolutional Neural Networks with Sequentially Semiseparable Weight Matrices [Details]
Matthias Kissel
  • No papers found
M. Kitabata
  • ESANN 1998 - Grouping complex face parts by nonlinear oscillations [Details]
H. Kitano
  • ESANN 2001 - A computational model of monkey grating cells for oriented repetitive alternating patterns [Details]
  • ESANN 2001 - Graph extraction from color images [Details]
Dietrich Klakow
  • ESANN 2021 - Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression [Details]
Stefan Klanke
  • ESANN 2006 - Variants of Unsupervised Kernel Regression: General cost functions [Details]
  • ESANN 2009 - Does dimensionality reduction improve the quality of motion interpolation? [Details]
G. P. Klebus
  • ESANN 1998 - Extending the CMAC model: adaptive input quantization [Details]