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
Nikhil Kilari
  • No papers found
Nikhil Kilari
  • ESANN 2022 - Appearance-Context aware Axial Attention for Fashion Landmark Detection [Details]
Min Soo Kim
  • ESANN 2019 - Design of Power-Efficient FPGA Convolutional Cores with Approximate Log Multiplier [Details]
sangmin kim
  • ESANN 2026 - Model Sees but Does Not Learn: Eliminating Error Propagation in Reasoning Distillation [Details]
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]
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
  • No papers found
Matthias Kissel
  • ESANN 2022 - Deep Convolutional Neural Networks with Sequentially Semiseparable Weight Matrices [Details]
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]
Carlos E. Klein
  • ESANN 2014 - Improved Cat Swarm Optimization approach applied to reliability-redundancy problem [Details]
Carlos Eduardo Klein
  • ESANN 2018 - Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence Paradigm [Details]
  • ESANN 2018 - Meerkats-inspired Algorithm for Global Optimization Problems [Details]
Robert Kleinkauf
  • ESANN 2016 - RNAsynth: constraints learning for RNA inverse folding. [Details]
José Henrique Kleinubing Larcher
  • No papers found
José Henrique Kleinubing Larcher
  • ESANN 2022 - Wind power forecasting based on bagging extreme learning machine ensemble model [Details]
Stefan Klinger
  • ESANN 2005 - Chemical similarity searching using a neural graph matcher [Details]
Marius Kloetzer
  • ESANN 2004 - Neuro-predictive control based self-tuning of PID controllers [Details]
Maximilian Knaller
  • ESANN 2018 - Self-learning assembly systems during ramp-up [Details]
Urspeter Knecht
  • ESANN 2016 - A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases [Details]
Alois Knoll
  • ESANN 2012 - Complex Valued Artificial Recurrent Neural Network as a Novel Approach to Model the Perceptual Binding Problem [Details]
  • ESANN 2013 - Hierarchical Reinforcement Learning for Robot Navigation [Details]
  • ESANN 2013 - Learning control under uncertainty: A probabilistic Value-Iteration approach [Details]
H. Knutsson
  • ESANN 2001 - Canonical correlation analysis in early vision processing [Details]