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
Juan Carlos Ruiz-Rodríguez
  • ESANN 2013 - A quotient basis kernel for the prediction of mortality in severe sepsis patients [Details]
Thomas Runkler
  • ESANN 2014 - Exploiting similarity in system identification tasks with recurrent neural networks [Details]
  • ESANN 2018 - Sensitivity analysis for predictive uncertainty [Details]
  • ESANN 2019 - interpretable dynamics models for data-efficient reinforcement learning [Details]
Thomas Runkler
  • ESANN 2021 - Behavior Constraining in Weight Space for Offline Reinforcement Learning [Details]
  • ESANN 2021 - Differentially Private Time Series Generation [Details]
  • ESANN 2023 - Automatic Trade-off Adaptation in Offline RL [Details]
  • ESANN 2025 - Is Q-learning an Ill-posed Problem? [Details]
  • ESANN 2025 - TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning [Details]
  • ESANN 2026 - Efficient and Resilient Machine Learning for Industrial Applications [Details]
  • ESANN 2026 - Point-wise Q-value maximization for converging Q-learning in continuous state-spaces [Details]
Massimiliano Ruocco
  • ESANN 2026 - Context-Aware Graph Attention for Unsupervised Telco Anomaly Detection [Details]
María J. Rupérez-Moreno
  • ESANN 2020 - Cost-free resolution enhancement in Convolutional Neural Networks for medical image segmentation [Details]
S. Rushton
  • ESANN 1999 - Regularization in oculomotor adaptation [Details]
Nicola Russo
  • ESANN 2023 - Pattern Recognition Spiking Neural Network for Classification of Chinese Characters [Details]
Alistair G. Rust
  • ESANN 2006 - Using sampling methods to improve binding site predictions [Details]
David Ruttens
  • ESANN 2025 - Exploring Model Architectures for Real-Time Lung Sound Event Detection [Details]
Dawid Rymarczyk
  • ESANN 2024 - ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery [Details]
J. Rynkiewicz
  • ESANN 1999 - Hybrid HMM/MLP models for times series prediction [Details]
  • ESANN 2001 - Estimation of Hybrid HMM/MLP models [Details]
  • ESANN 2001 - Some known facts about financial data [Details]
  • ESANN 2002 - Parametric bootstrap for test of contrast difference in neural networks [Details]
Joseph Rynkiewicz
  • No papers found
Joseph Rynkiewicz
  • ESANN 2022 - Deep networks with ReLU activation functions can be smooth statistical models [Details]
  • ESANN 2026 - Cross-tested Aggregated Hold-out [Details]
joseph Rynkiewicz
  • ESANN 2005 - efficient estimation of multidimensional regression model with multilayer perceptron [Details]
  • ESANN 2006 - Consistent estimation of the architecture of multilayer perceptrons [Details]
  • ESANN 2007 - Estimating the Number of Components in a Mixture of Multilayer Perceptrons [Details]
  • ESANN 2010 - Asymptotic properties of mixture-of-experts models [Details]
  • ESANN 2011 - General bound of overfitting for MLP regression models [Details]
  • ESANN 2012 - Quantile regression with multilayer perceptrons. [Details]
  • ESANN 2018 - Asymptotic statistics for multilayer perceptron with ReLu hidden units [Details]
  • ESANN 2019 - On overfitting of multilayer perceptrons for classification [Details]