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
Eleni Elia
  • ESANN 2023 - Efficient Learning in Spiking Models [Details]
  • ESANN 2023 - Functional Resonant Synaptic Clusters for Decoding Time-Structured Spike Trains [Details]
D. Elizondo
  • ESANN 1997 - The class of linear separability method [Details]
Yaroub Elloumi
  • ESANN 2023 - Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture [Details]
Peter Elmer
  • ESANN 2023 - Knowledge Distillation for Anomaly Detection [Details]
Arthur Elskens
  • ESANN 2025 - Ranking the scores of algorithms with confidence [Details]
Jan W.J. Elting
  • ESANN 2025 - Interpretable machine learning for the diagnosis of hyperkinetic movement disorders [Details]
seyedsaman emami
  • No papers found
seyedsaman emami
  • ESANN 2022 - Multioutput Regression Neural Network Training via Gradient Boosting [Details]
Mark Embrechts
  • ESANN 2005 - unsupervised fuzzy ensembles and their use in intrusion detection [Details]
  • ESANN 2009 - Reservoir computing for static pattern recognition [Details]
  • ESANN 2010 - An augmented efficient backpropagation training strategy for deep autoassociative neural networks [Details]
  • ESANN 2011 - A brief tutorial on reinforcement learning: The game of Chung Toi [Details]
  • ESANN 2012 - Hybrid hierarchical clustering: cluster assessment via cluster validation indices [Details]
  • ESANN 2013 - An empirical analysis of reinforcement learning using design of experiments [Details]
  • ESANN 2013 - Random Brains: An ensemble method for feature selection with neural networks [Details]
  • ESANN 2014 - An application of the temporal difference algorithm to the truck backer-upper problem [Details]
Mark J. Embrechts
  • ESANN 2006 - Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms [Details]
Christian Emmerich
  • ESANN 2012 - Balancing of neural contributions for multi-modal hidden state association [Details]
Liriam Enamoto
  • ESANN 2019 - Multilingual short text categorization using convolutional neural network [Details]
Lukas Enderich
  • ESANN 2019 - Learning multimodal fixed-point weights using gradient descent [Details]
Lukas Enderich
  • No papers found
Lukas Enderich
  • ESANN 2022 - Real-time capable Ensemble Estimation for 2D Object Detection [Details]
Alexander Engelsberger
  • ESANN 2020 - Quantum-Inspired Learning Vector Quantization for Classification Learning [Details]
Alexander Engelsberger
  • ESANN 2023 - Quantum-ready vector quantization: Prototype learning as a binary optimization problem [Details]
  • ESANN 2023 - Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection [Details]
  • ESANN 2025 - Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach -- FA(IR)$^2$MA-GLVQ [Details]
Jose M. Enguita-Gonzalez
  • No papers found
Jose M. Enguita-Gonzalez
  • ESANN 2022 - Interactive dual projections for gene expression analysis [Details]
  • ESANN 2022 - Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave [Details]
  • ESANN 2024 - Analysis of DNA methylation patterns in cancer samples using SOM [Details]
  • ESANN 2024 - Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings [Details]
  • ESANN 2024 - Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics [Details]
Elias Ennadifi
  • No papers found
Elias Ennadifi
  • ESANN 2022 - Semi-synthetic Data for Automatic Drone Shadow Detection [Details]
A. Ennaji
  • ESANN 1999 - Generalisation capabilities of a distributed neural classifier [Details]
Abdel Ennaji
  • ESANN 2005 - A new learning algorithm for incremental self-organizing maps [Details]
Manfred Eppe
  • ESANN 2018 - An analysis of subtask-dependency in robot command interpretation with dilated CNNs [Details]
U. Epperlein
  • ESANN 1996 - The extraction of Sugeno fuzzy rules from neural networks [Details]
Wolfgang Erb
  • ESANN 2020 - Linear Graph Convolutional Networks [Details]
C. Erden
  • ESANN 2002 - Segmental duration control by time delay neural networks with asymmetric causal and retro-causal information flows [Details]
Deniz Erdogmus
  • ESANN 2010 - Identifying informative features for ERP speller systems based on RSVP paradigm [Details]
  • ESANN 2010 - Principal curve tracing [Details]
D. Erdogmus
  • ESANN 2003 - Accelerating the convergence speed of neural networks learning methods using least squares [Details]
  • ESANN 2003 - Recursive Least Squares for an Entropy Regularized MSE Cost Function [Details]
Morgan Ericsson
  • ESANN 2024 - Unpaired Image-to-Image Translation to Improve Log End Identification [Details]