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
Felix Burkhardt
  • ESANN 2023 - Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions [Details]
Boris Burle
  • ESANN 2005 - Neuromimetic model of interval timing [Details]
Yves Burnod
  • ESANN 2005 - Using generic neural networks in the control and prediction of grasp postures [Details]
Y. Burnod
  • ESANN 1999 - Modeling face recognition learning in early infant development [Details]
Rich Burton
  • ESANN 2007 - Algebraic inversion of an artificial neural network classifier [Details]
Thomas Burwick
  • ESANN 2020 - Recurrent Feedback Improves Recognition of Partially Occluded Objects [Details]
Thomas Burwick
  • ESANN 2007 - Synchronization and acceleration: complementary mechanisms of temporal coding [Details]
  • ESANN 2008 - The gamma cycle and its role in the formation of assemblies [Details]
  • ESANN 2009 - Zero phase-lag synchronization through short-term modulations [Details]
  • ESANN 2010 - Neural oscillations allow for selective inhibition - New perspective on the role of cortical gamma oscillations [Details]
  • ESANN 2016 - Deep neural network analysis of go games: which stones motivate a move? [Details]
  • ESANN 2016 - Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics [Details]
Sebastian Buschjäger
  • ESANN 2024 - Federated Time Series Classification with ROCKET features [Details]
Nabi Bushra
  • ESANN 2017 - Large-scale nonlinear dimensionality reduction for network intrusion detection [Details]
John Butcher
  • ESANN 2010 - Extending reservoir computing with random static projections: a hybrid between extreme learning and RC [Details]
Nicholas Butko
  • ESANN 2006 - Exploring the role of intrinsic plasticity for the learning of sensory representations [Details]
Sergejus Butovas
  • ESANN 2008 - Direct and inverse solution for a stimulus adaptation problem using SVR [Details]
Sarah Butt
  • ESANN 2016 - Enhancing a social science model-building workflow with interactive visualisation [Details]
Giorgio Carlo Buttazzo
  • ESANN 2026 - Variational Deep Embedding for Unsupervised Clustering of Industrial Noise in Steelmaking Plants [Details]
Martin V. Butz
  • ESANN 2015 - Learning Recurrent Dynamics using Differential Evolution [Details]
Martin Butz
  • ESANN 2020 - A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction [Details]
  • ESANN 2020 - Sequence Classification using Ensembles of Recurrent Generative Expert Modules [Details]