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
Victor Uc Cetina
  • ESANN 2006 - A multiagent architecture for concurrent reinforcement learning [Details]
  • ESANN 2008 - Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning [Details]
Steffen Udluft
  • ESANN 2021 - Behavior Constraining in Weight Space for Offline Reinforcement Learning [Details]
  • ESANN 2023 - Automatic Trade-off Adaptation in Offline RL [Details]
  • ESANN 2024 - Why long model-based rollouts are no reason for bad Q-value estimates [Details]
Steffen Udluft
  • ESANN 2007 - Explicit Kernel Rewards Regression for data-efficient near-optimal policy identification [Details]
  • ESANN 2007 - Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments [Details]
  • ESANN 2007 - The Recurrent Control Neural Network [Details]
  • ESANN 2008 - Safe exploration for reinforcement learning [Details]
  • ESANN 2010 - The Markov Decision Process Extraction Network [Details]
  • ESANN 2011 - Ensemble Usage for More Reliable Policy Identification in Reinforcement Learning [Details]
  • ESANN 2012 - Recurrent Neural State Estimation in Domains with Long-Term Dependencies [Details]
  • ESANN 2013 - Ensembles for Continuous Actions in Reinforcement Learning [Details]
  • ESANN 2014 - Exploiting similarity in system identification tasks with recurrent neural networks [Details]
  • ESANN 2018 - Sensitivity analysis for predictive uncertainty [Details]
H. Ueda
  • ESANN 1997 - Extraction of crisp logical rules using constrained backpropagation networks [Details]
N. Ueda
  • ESANN 2003 - Modeling of growing networks with directional attachment and communities [Details]
Naonori Ueda
  • ESANN 2006 - Visual nonlinear discriminant analysis for classifier design [Details]
Z. Uhry
  • ESANN 1998 - NAR time-series prediction: a Bayesian framework and an experiment [Details]
Arijit Ukil
  • ESANN 2019 - Fusing Features based on Signal Properties and TimeNet for Time Series Classification [Details]
Alfred Ultsch
  • ESANN 2004 - knowledge discovery in DNA microarray data of cancer patients with emergent self organizing maps [Details]
  • ESANN 2005 - The architecture of emergent self-organizing maps to reduce projection errors [Details]
  • ESANN 2006 - An algorithm for fast and reliable ESOM learning [Details]
  • ESANN 2008 - Explaining Ant-Based Clustering on the basis of Self-Organizing Maps [Details]
R. Unbehauen
  • ESANN 2000 - Iterative learning neural network control for nonlinear system trajectory tracking [Details]
Michael Unterreiner
  • ESANN 2021 - AGLVQ - Making Generalized Vector Quantization Algorithms Aware of Context [Details]
F.J. Uppal
  • ESANN 2002 - Fault diagnosis of an electro-pneumatic valve actuator using neural networks with fuzzy capabilities [Details]
J.-P. Urban
  • ESANN 2001 - A divide-and-conquer learning architecture for predicting unknown motion [Details]
J-P. Urban
  • ESANN 2003 - Neural networks organizations to learn complex robotic functions [Details]
Jean-Philippe Urban
  • ESANN 2013 - Novelty detection in image recognition using IRF Neural Networks properties [Details]
R. Urbanczik
  • ESANN 2002 - Supervised learning in committee machines by PCA [Details]
OGUZHAN URHAN
  • ESANN 2024 - Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites [Details]
Lev Utkin
  • ESANN 2020 - Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System [Details]
Ali Oguz Uzman
  • ESANN 2019 - Learning super-resolution 3D segmentation of plant root MRI images from few examples [Details]
N.K. Uzunoglu
  • ESANN 1995 - Alternative output representation schemes affect learning and generalization of back-propagation ANNs; a decision support application [Details]