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
H. Bersini
  • ESANN 1998 - Lazy learning for control design [Details]
Árpád Berta
  • ESANN 2014 - Lightning fast asynchronous distributed k-means clustering [Details]
K. Bertels
  • ESANN 1995 - XOR and backpropagation learning: in and out of the chaos? [Details]
M. Berthod
  • ESANN 1994 - Projection learning: alternative approaches to the computation of the projection [Details]
F. Berthommier
  • ESANN 1993 - Physiological modelling of cochlear nucleus responses-perception of complex sounds [Details]
Alessandro Berti
  • ESANN 2023 - Logarithmic Quantum Forking [Details]
  • ESANN 2023 - Quantum Feature Selection with Variance Estimation [Details]
Stefano Berti
  • ESANN 2021 - Calliope - A Polyphonic Music Transformer [Details]
Dominique Bertin
  • No papers found
Ilaria Bertini
  • ESANN 2010 - Combining back-propagation and genetic algorithms to train neural networks for start-up time modeling in combined cycle power plants [Details]
Maillet Bertrand
  • ESANN 2004 - Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime [Details]
Olivier Bertrand
  • ESANN 2009 - Sensors selection for P300 speller brain computer interface [Details]
Kristian Berwanger
  • ESANN 2018 - One-class Autoencoder approach to classify Raman spectra outliers [Details]
Patricia Besson
  • ESANN 2024 - Aeronautic data analysis [Details]
Alessandro Betti
  • ESANN 2025 - Stability of State and Costate Dynamics in Continuous Time Recurrent Neural Networks [Details]
Michael Bevan
  • ESANN 2005 - sparse Bayesian promoter based gene classification [Details]
A. Bevilacqua
  • ESANN 2000 - Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier [Details]
G.J. Bex
  • ESANN 1994 - Storage capacity of the reversed wedge perceptron with binary connections [Details]
Oliver Beyer
  • ESANN 2013 - DYNG: Dynamic Online Growing Neural Gas for stream data classification [Details]
Jörg Beyer
  • ESANN 2009 - Heterogeneous mixture-of-experts for fusion of locally valid knowledge-based submodels [Details]
Thomas Beznik
  • ESANN 2020 - Deep Learning to Detect Bacterial Colonies for the Production of Vaccines [Details]
Karan Bhanot
  • ESANN 2021 - Quantifying Resemblance of Synthetic Medical Time-Series [Details]
  • ESANN 2023 - Adversarial Auditing of Machine Learning Models under Compound Shift [Details]
Gyan Bhanot
  • ESANN 2017 - Biomedical data analysis in translational research: integration of expert knowledge and interpretable models [Details]
Halandur Nagaraja Bharath
  • ESANN 2016 - Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation [Details]
Anil A Bharath
  • ESANN 2020 - Incorporating Human Priors into Deep Reinforcement Learning for Robotic Control [Details]
Piyush Bhardwaj
  • ESANN 2016 - Efficient low rank approximation via alternating least squares for scalable kernel learning [Details]
B. Bhattacharya
  • ESANN 2003 - Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river [Details]
Gaurab Bhattacharya
  • ESANN 2022 - Appearance-Context aware Axial Attention for Fashion Landmark Detection [Details]
Gaurab Bhattacharya
  • No papers found
Chirag Bhuvaneshwara
  • ESANN 2023 - Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions [Details]
Bikram Pratim BHUYAN
  • ESANN 2025 - Encoding Higher-Order Logic in Spatio-Temporal Hypergraphs for Neuro-Symbolic Learning [Details]