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
Sarah Ebling
  • ESANN 2023 - Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions [Details]
Touradj Ebrahimi
  • ESANN 2006 - Spatial filters for the classification of event-related potentials [Details]
I. Echave
  • ESANN 2000 - Competitive neural networks for robust computation of the optical flow [Details]
Rodrigo Echeveste
  • ESANN 2015 - An objective function for self-limiting neural plasticity rules. [Details]
D. Eck Patrik Edén
  • ESANN 2013 - Ensembles of genetically trained artificial neural networks for survival analysis [Details]
Günter Edlinger
  • ESANN 2009 - Brain Computer Interface for Virtual Reality Control [Details]
P. Edwards
  • ESANN 1998 - Weight saliency regularization in augmented networks [Details]
P.J. Edwards
  • ESANN 1999 - The application of neural networks to the paper-making industry [Details]
  • ESANN 2000 - Committee formation for reliable and accurate neural prediction in industry [Details]
  • ESANN 2000 - Confidence estimation methods for neural networks : a practical comparison [Details]
Jeremy Edwards
  • ESANN 2024 - A Two-Stage Approach for Implicit Bias Detection in Generative Language Models [Details]
Romain Egele
  • ESANN 2023 - Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? [Details]
Ulrich Egert
  • ESANN 2011 - Increased robustness and intermittent dynamics in structured Reservoir Networks with feedback [Details]
  • ESANN 2018 - Controlling biological neural networks with deep reinforcement learning [Details]
Julian Eggert
  • ESANN 2010 - Adaptive velocity tuning for visual motion estimation [Details]
  • ESANN 2010 - Exploiting hierarchical prediction structures for mixed 2d-3d tracking [Details]
  • ESANN 2010 - Figure-ground Segmentation using Metrics Adaptation in Level Set Methods [Details]
  • ESANN 2012 - Unsupervised learning of motion patterns [Details]
  • ESANN 2013 - Learning associative spatiotemporal features with non-negative sparse coding [Details]
  • ESANN 2014 - Beyond histograms: why learned structure-preserving descriptors outperform HOG [Details]
Ralf Eickhoff
  • ESANN 2006 - Robust Local Cluster Neural Networks [Details]
  • ESANN 2007 - Controlling complexity of RBF networks by similarity [Details]
Carlos Eiras-Franco
  • ESANN 2017 - Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing [Details]
Emil Eirola
  • ESANN 2008 - Using the Delta Test for Variable Selection [Details]
  • ESANN 2010 - Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs [Details]
  • ESANN 2017 - Advanced query strategies for Active Learning with Extreme Learning Machines [Details]
Thosten Eisenhofer
  • ESANN 2023 - On the Limitations of Model Stealing with Uncertainty Quantification Models [Details]
Carl Henrik Ek
  • ESANN 2019 - interpretable dynamics models for data-efficient reinforcement learning [Details]
Meriem El Azami
  • ESANN 2014 - Robust outlier detection with L0-SVDD [Details]
  • ESANN 2016 - Converting SVDD scores into probability estimates [Details]
Nour-Eddin El Faouzi
  • ESANN 2017 - Detection of non-recurrent road traffic events based on clustering indicators [Details]
Nour-Eddin El Faouzi
  • ESANN 2021 - A Lightweight Approach for Origin-Destination Matrix Anonymization [Details]
  • ESANN 2021 - Unsupervised Real-time Anomaly Detection for Multivariate Mobile Phone Traffic Series [Details]
Aïcha El Golli
  • ESANN 2004 - Clustering functional data with the SOM algorithm [Details]
  • ESANN 2005 - Usage Guided Clustering of Web Pages with the Median Self Organizing Map [Details]
Soufiane El Jelali
  • ESANN 2008 - An emphasized target smoothing procedure to improve MLP classifiers performance [Details]
  • ESANN 2010 - A pseudoregression formulation of emphasized soft target procedures for classification problems [Details]
Mohamed Khalil El Mahrsi
  • ESANN 2012 - modularity-based clustering for network-constrained trajectories [Details]
Gamal El Masry
  • ESANN 2009 - Comparison between linear discrimination analysis and support vector machine for detection of pesticide on spinach leaf by hyperspectral imaging with excitation-emission matrix [Details]
Karim El-Laithy
  • ESANN 2010 - Predicting spike-timing of a thalamic neuron using a stochastic synaptic model [Details]
Lars Elend
  • ESANN 2020 - Tournament Selection Improves Cartesian Genetic Programming for Atari Games [Details]
Haytham Elghazel
  • ESANN 2010 - Consensus clustering by graph based approach [Details]
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]