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
Matthias Kerzel
  • ESANN 2018 - Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic [Details]
Matthias Kerzel
  • ESANN 2021 - Pruning Neural Networks with Supermasks [Details]
Lounis Kessal
  • ESANN 2008 - Neural network hardware architecture for pattern recognition in the HESS2 project [Details]
Viktor Kessler
  • ESANN 2017 - Hierarchical Combination of Video Features for Personalised Pain Level Recognition [Details]
Janis Keuper
  • ESANN 2021 - Sample efficient localization and stage prediction with autoencoders [Details]
Lee Kezar
  • ESANN 2023 - Exploring Strategies for Modeling Sign Language Phonology [Details]
Mohamed tarek Khadir
  • ESANN 2005 - Artificial neural network fusion: Application to Arabic words recognition [Details]
Sami Khairy
  • ESANN 2023 - Multi-Fidelity Reinforcement Learning with Control Variates [Details]
Adia Khalid
  • ESANN 2026 - Adversarial Robustness by Combining Prototype Models with Lipschitz Training [Details]
Kallin Khan
  • ESANN 2021 - NNBMSS: a Novel and Fast Method for Model Structure Selection [Details]
Amin Khan
  • ESANN 2019 - Machine learning in research and development of new vaccines products: opportunities and challenges [Details]
Bostan Khan
  • ESANN 2026 - DeepFedNAS: Pareto Optimal Supernet Training for Improved and Predictor-Free Federated Neural Architecture Search [Details]
Usman Khan
  • ESANN 2006 - Freeform surface induction from projected planar curves via neural networks [Details]
Ahmed Faraz Khan
  • ESANN 2016 - Grounding the experience of a visual field through sensorimotor contingencies [Details]
Khaleelulla Khan Nazeer
  • ESANN 2025 - A variational framework for local learning with probabilistic latent representations [Details]
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]
Pranali Khose
  • ESANN 2026 - A Collaborative Distillation Framework for Graph Neural Networks [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]
Quan Khuu
  • ESANN 2026 - A New Positional Encoding Loss for Anomaly Transformer in Time series Anomaly Detection [Details]
Nina Kieberger
  • ESANN 2021 - Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors [Details]
Oliver Kiefner
  • ESANN 2025 - Reinforcement learning-based control system for biogas plants in laboratory scale [Details]
C. Kiesling
  • ESANN 2002 - Hardware solutions for implementation of neural networks in High Energy Physics triggers [Details]