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
Khurshid Ahmad
  • ESANN 2005 - Learning to classify a collection of images and texts [Details]
I. Ahrns
  • ESANN 1996 - Praticing Q-learning [Details]
Helena Aidos
  • ESANN 2024 - Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis [Details]
G. L. Aiello
  • ESANN 2000 - Nonsynaptically connected neural nets [Details]
Gaetano Liborio Aiello
  • ESANN 2007 - informational cost in correlation-based neuronal networks [Details]
  • ESANN 2013 - Percolation model of axon guidance [Details]
Gaetano Aiello
  • ESANN 2008 - Noise influence on correlated activities in a modular neuronal network: from synapses to functional connectivity [Details]
  • ESANN 2016 - neuro-percolation as a superposition of random-walks [Details]
Pierre Ailliot
  • ESANN 2017 - Non-negative decomposition of geophysical dynamics [Details]
Fabio Aiolli
  • ESANN 2007 - "Kernelized" Self-Organizing Maps for Structured Data [Details]
  • ESANN 2009 - Supervised learning as preference optimization [Details]
  • ESANN 2014 - Easy multiple kernel learning [Details]
  • ESANN 2015 - Feature and kernel learning [Details]
  • ESANN 2016 - Advances in Learning with Kernels: Theory and Practice in a World of growing Constraints [Details]
  • ESANN 2016 - Kernel based collaborative filtering for very large scale top-N item recommendation [Details]
  • ESANN 2016 - Measuring the Expressivity of Graph Kernels through the Rademacher Complexity [Details]
  • ESANN 2017 - Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning [Details]
  • ESANN 2017 - Learning dot-product polynomials for multiclass problems [Details]
  • ESANN 2018 - Boolean kernels for interpretable kernel machines [Details]
  • ESANN 2018 - The minimum effort maximum output principle applied to Multiple Kernel Learning [Details]
Fabio Aiolli
  • ESANN 2020 - Exploring the feature space of character-level embeddings [Details]
  • ESANN 2020 - Language processing in the era of deep learning [Details]
  • ESANN 2021 - Privacy-Preserving Kernel Computation For Vertically Partitioned Data [Details]
  • ESANN 2022 - Bayes Point Rule Set Learning [Details]
  • ESANN 2022 - Price direction prediction in financial markets, using Random Forest and Adaboost [Details]
Abdeldjalil Aïssa-El-Bey
  • ESANN 2017 - Non-negative decomposition of geophysical dynamics [Details]
I. Aizenberg
  • ESANN 1998 - Ultrasound medical image processing using cellular neural networks [Details]
N. Aizenberg
  • ESANN 1998 - Ultrasound medical image processing using cellular neural networks [Details]
Y. Ajioka
  • ESANN 1998 - Grouping complex face parts by nonlinear oscillations [Details]
Abraham Ajith
  • ESANN 2006 - Optimal design of hierarchical wavelet networks for time-series forecasting [Details]
M. Akamatsu
  • ESANN 1995 - A distribution-based model of the dynamics of neural networks in the cerebral cortex [Details]
H. Akdag
  • ESANN 1996 - An adaptive technique for pattern recognition by the random neural network [Details]
Patrice Aknin
  • ESANN 2009 - A regression model with a hidden logistic process for signal parametrization [Details]
  • ESANN 2009 - Partially-supervised learning in Independent Factor Analysis [Details]
  • ESANN 2012 - A CUSUM approach for online change-point detection on curve sequences [Details]
  • ESANN 2013 - Hierarchical and multiscale Mean Shift segmentation of population grids [Details]
Evelyne Akopyan
  • ESANN 2021 - Unsupervised Real-time Anomaly Detection for Multivariate Mobile Phone Traffic Series [Details]
Anton Akusok
  • ESANN 2014 - Finding Originally Mislabels with MD-ELM [Details]
  • ESANN 2017 - Advanced query strategies for Active Learning with Extreme Learning Machines [Details]
Shadi Al Shehabi
  • ESANN 2006 - A new hyperbolic visualization method for displaying the results of a neural gas model: application to Webometrics [Details]
Saeed Al-Bukhitan
  • ESANN 2010 - Hybrid Soft Computing for PVT Properties Prediction [Details]
H. Al-Duwaish
  • ESANN 2002 - Use of artificial neural networks process analyzers: a case study [Details]
Ayoub Al-Hamadi
  • ESANN 2005 - Spike-timing-dependent plasticity in 'small world' networks [Details]
Ammar Al-Najjar
  • ESANN 2024 - Adversarial Training without Hard Labels [Details]
K. R. Al-Rawi
  • ESANN 1999 - Supervised Art-II: a new neural network architecture, with quicker learning algorithm, for learning and classifying multivaled input patterns [Details]
Faure Alain
  • ESANN 2005 - Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in culture [Details]
Carlos M. Alaíz
  • ESANN 2020 - Visualization of the Feature Space of Neural Networks [Details]
Carlos M. Alaíz
  • ESANN 2015 - Diffusion Maps parameters selection based on neighbourhood preservation [Details]
  • ESANN 2015 - Solving constrained Lasso and Elastic Net using nu-SVMs [Details]
  • ESANN 2018 - Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path [Details]
Roberto Alamino
  • ESANN 2019 - Committees as Artificial Organisms - Evolution and Adaptation [Details]
Ismail Alaoui Abdellaoui
  • ESANN 2021 - Enhancing brain decoding using attention augmented deep neural networks [Details]