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
Marco Romanelli
  • ESANN 2017 - Physical activity recognition from sub-bandage sensors using both feature selection and extraction [Details]
D. Romani
  • ESANN 2000 - Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier [Details]
João M. T. Romano
  • ESANN 2014 - Analysis of the Weighted Fuzzy C-means in the problem of source location [Details]
Valentino Romano
  • ESANN 2013 - Percolation model of axon guidance [Details]
João Marcos T. Romano
  • ESANN 2013 - Error entropy criterion in echo state network training [Details]
Alexandre Romariz
  • ESANN 2004 - Implementation and coupling of dynamic neurons through optoelectronics [Details]
Jaldert O. Rombouts
  • ESANN 2014 - Learning resets of neural working memory [Details]
  • ESANN 2014 - Spiking AGREL [Details]
Bernardino Romera-Paredes
  • ESANN 2013 - A One-Vs-One Classifier Ensemble With Majority Voting for Activity Recognition [Details]
Enrique Romero
  • ESANN 2006 - On the selection of hidden neurons with heuristic search strategies for approximation [Details]
  • ESANN 2008 - DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization [Details]
  • ESANN 2013 - A quotient basis kernel for the prediction of mortality in severe sepsis patients [Details]
Raphaël Romero
  • No papers found
Raphaël Romero
  • ESANN 2022 - Embedding-based next song recommendation for playlists [Details]
Pedro Romero
  • ESANN 2016 - Assessment of diabetic retinopathy risk with random forests [Details]
Laure Rondi-Reig
  • ESANN 2009 - Cerebellum and spatial cognition: A connectionist approach [Details]
Juha Röning
  • ESANN 2016 - From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors [Details]
  • ESANN 2018 - Personalizing human activity recognition models using incremental learning [Details]
  • ESANN 2019 - Importance of user inputs while using incremental learning to personalize human activity recognition models [Details]
Juha Röning
  • ESANN 2024 - Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations [Details]
Nixon Ronoh
  • ESANN 2015 - Bernoulli bandits: an empirical comparison [Details]
  • ESANN 2017 - Comparison of adaptive MCMC methods [Details]
E. Ros
  • ESANN 1998 - What are the main factors involved in the design of a Radial Basis Function Network? [Details]
  • ESANN 2001 - The synergy between multideme genetic algorithms and fuzzy systems [Details]
Alfredo Rosado Muñoz
  • ESANN 2006 - Bootstrap feature selection in support vector machines for ventricular fibrillation detection [Details]
Luís Brás Rosário
  • ESANN 2023 - Efficient Knowledge Aggregation Methods for Weightless Neural Networks [Details]
Lorenzo Rosasco
  • ESANN 2005 - Support vector algorithms as regularization networks [Details]
  • ESANN 2008 - A method for robust variable selection with significance assessment [Details]
André Roßberg
  • ESANN 2014 - Utilization of Chemical Structure Information for Analysis of Spectra Composites [Details]
Michael Rose
  • ESANN 2024 - Tumor Grading via Decorrelated Sparse Survival Regression [Details]
Lars Rosenbaum
  • ESANN 2011 - Fast Data Mining with Sparse Chemical Graph Fingerprints by Estimating the Probability of Unique Patterns [Details]
  • ESANN 2019 - Learning multimodal fixed-point weights using gradient descent [Details]
W. Rosenstiel
  • ESANN 1994 - Improvement of learning results of the selforganizing map by calculating fractal dimensions [Details]
  • ESANN 1995 - Topological interpolation in SOM by affine transformations [Details]
  • ESANN 1996 - The extraction of Sugeno fuzzy rules from neural networks [Details]
  • ESANN 2001 - Detection of cluster in Self-Organizing Maps for controlling a prostheses using nerve signals [Details]
  • ESANN 2003 - Towards the restoration of hand grasp function of quadriplegic patients based on an artificial neural net controller using peripheral nerve stimulation - an approach [Details]
Wolfgang Rosenstiel
  • ESANN 2005 - Feature selection for high-dimensional industrial data [Details]
  • ESANN 2008 - Direct and inverse solution for a stimulus adaptation problem using SVR [Details]
  • ESANN 2011 - Classifying mental states with machine learning algorithms using alpha activity decline [Details]
  • ESANN 2012 - One Class SVM and Canonical Correlation Analysis increase performance in a c-VEP based Brain-Computer Interface (BCI) [Details]
  • ESANN 2013 - Decoding stimulation intensity from evoked ECoG activity using support vector regression [Details]
Elisha Rosensweig
  • ESANN 2017 - Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure [Details]
T. Roska
  • ESANN 1998 - The CNN computer - a tutorial [Details]
J.P. Rospars
  • ESANN 1994 - Stochastic model of odor intensity coding in first-order olfactory neurons [Details]
J.-P. Rospars
  • ESANN 1995 - Some new results on the coding of pheromone intensity in an olfactory sensory neuron [Details]
Alexander Ross
  • ESANN 2006 - Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms [Details]