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
Ajalmar R. da Rocha Neto
  • ESANN 2014 - reject option paradigm for the reduction of support vectors [Details]
R.Lauwereins
  • ESANN 1993 - Efficient decomposition of comparison and its applications [Details]
Christoph Raab
  • ESANN 2019 - Reactive Soft Prototype Computing for frequent reoccurring Concept Drift [Details]
Christoph Raab
  • No papers found
Christoph Raab
  • ESANN 2020 - Domain Invariant Representations with Deep Spectral Alignment [Details]
  • ESANN 2021 - Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation [Details]
  • ESANN 2021 - Federated Learning - Methods, Applications and beyond [Details]
Christoph Raab
  • ESANN 2022 - Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification [Details]
Tsirizo Rabenoro
  • ESANN 2015 - Search Strategies for Binary Feature Selection for a Naive Bayes Classifier [Details]
Neta Rabin
  • ESANN 2016 - Auto-adaptive Laplacian Pyramids [Details]
Neta Rabin
  • ESANN 2020 - Multi-Directional Laplacian Pyramids for Completion of Missing Data Entries [Details]
  • ESANN 2022 - Improving Laplacian Pyramids Regression with Localization in Frequency and Time [Details]
Céline Rabouy
  • ESANN 2012 - Functional Mixture Discriminant Analysis with hidden process regression for curve classification [Details]
Dániel Rácz
  • ESANN 2021 - Gradient representations in ReLU networks as similarity functions [Details]
G. Raddatz
  • ESANN 1994 - Improvement of learning results of the selforganizing map by calculating fractal dimensions [Details]
R. Raducanu
  • ESANN 1998 - ANN for facial information processing: a review of recent approaches [Details]
B. Raducanu
  • ESANN 2001 - Visual self-localization with morphological neural networks [Details]
Haissam Ragab
  • ESANN 2023 - Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements [Details]
Mall Raghvendra
  • ESANN 2014 - Agglomerative hierarchical kernel spectral clustering for large scale networks [Details]
Tapani Raiko
  • ESANN 2009 - Transformations for variational factor analysis to speed up learning [Details]
K. Raivio
  • ESANN 2002 - Mobile radio access network monitoring using the self-organizing map [Details]
Kimmo Raivio
  • ESANN 2006 - Hierarchical analysis of GSM network performance data [Details]
J. C. Rajapakse
  • ESANN 2000 - A neural network for undercomplete independent component analysis [Details]
  • ESANN 2000 - Boundary based movement correction of functional MR data using a genetic algorithm [Details]
Muttukrishnan Rajarajan
  • ESANN 2013 - Long term analysis of daily activities in smart home [Details]
Deeshant Rajput
  • No papers found
Alain Rakotomamonjy
  • ESANN 2005 - Translation invariant classification of non-stationary signals [Details]
  • ESANN 2007 - Kernel on Bag of Paths For Measuring Similarity of Shapes [Details]
  • ESANN 2007 - One-class SVM regularization path and comparison with alpha seeding [Details]
  • ESANN 2011 - A supervised strategy for deep kernel machine [Details]
  • ESANN 2011 - Selecting from an infinite set of features in SVM [Details]
  • ESANN 2012 - Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm [Details]
  • ESANN 2018 - Non-Negative Tensor Dictionary Learning [Details]
Liva Ralaivola
  • ESANN 2005 - SVM and pattern-enriched common fate graphs for the game of go [Details]
  • ESANN 2009 - Semi-supervised bipartite ranking with the normalized Rayleigh coefficient [Details]
  • ESANN 2013 - Fast online adaptivity with policy gradient: example of the BCI ``P300''-speller [Details]
  • ESANN 2015 - Online multiclass learning with "bandit" feedback under a Passive-Aggressive approach [Details]
  • ESANN 2019 - Learning Rich Event Representations and Interactions for Temporal Relation Classification [Details]
Kiril Ralinovski
  • ESANN 2014 - Improving the firefly algorithm through the Barnes-Hut tree code [Details]
R. Rallo
  • ESANN 1997 - A fuzzy Artmap neural system for the prediction of turbulent velocity fields [Details]
Dhanesh Ramachandram
  • ESANN 2017 - Structure optimization for deep multimodal fusion networks using graph-induced kernels [Details]
Olivier RAMALHO
  • ESANN 2017 - Indoor air pollutant sources using Blind Source Separation Methods [Details]
Rajkumar Ramamurthy
  • ESANN 2021 - Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis [Details]
Narayanan Ramanan
  • ESANN 2008 - Neural network hardware architecture for pattern recognition in the HESS2 project [Details]