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
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]
Alberto Rossi
  • ESANN 2020 - Embedding of FRPN in CNN architecture [Details]
  • ESANN 2020 - Graph Neural Networks for the Prediction of Protein-Protein Interfaces [Details]
Silvia Rossi
  • ESANN 2011 - Thresholds tuning of a neuro-symbolic net controlling a behavior-based robotic system [Details]
  • ESANN 2014 - Can you follow that guy? [Details]
Beatrice Rossi
  • ESANN 2017 - Approximate operations in Convolutional Neural Networks with RNS data representation [Details]
Fabrice Rossi
  • ESANN 2021 - Federated Learning - Methods, Applications and beyond [Details]
  • ESANN 2021 - Sparse mixture of von Mises-Fisher distribution [Details]
  • ESANN 2022 - Challenges in anomaly and change point detection [Details]
Fabrice Rossi
  • ESANN 2004 - Clustering functional data with the SOM algorithm [Details]
  • ESANN 2005 - Support Vector Machine For Functional Data Classification [Details]
  • ESANN 2005 - Usage Guided Clustering of Web Pages with the Median Self Organizing Map [Details]
  • ESANN 2006 - LS-SVM functional network for time series prediction [Details]
  • ESANN 2006 - Visual Data Mining and Machine Learning [Details]
  • ESANN 2007 - Feature clustering and mutual information for the selection of variables in spectral data [Details]
  • ESANN 2007 - Model collisions in the dissimilarity SOM [Details]
  • ESANN 2008 - Consistency of Derivative Based Functional Classifiers on Sampled Data [Details]
  • ESANN 2009 - Simultaneous Clustering and Segmentation for Functional Data [Details]
  • ESANN 2009 - Supervised variable clustering for classification of NIR spectra [Details]
  • ESANN 2009 - Topologically Ordered Graph Clustering via Deterministic Annealing [Details]
  • ESANN 2011 - Communication Challenges in Cloud K-means [Details]
  • ESANN 2011 - Hierarchical clustering for graph visualization [Details]
  • ESANN 2011 - Seeing is believing: The importance of visualization in real-world machine learning applications [Details]
  • ESANN 2012 - A Discussion on Parallelization Schemes for Stochastic Vector Quantization Algorithms [Details]
  • ESANN 2012 - Dissimilarity Clustering by Hierarchical Multi-Level Refinement [Details]
  • ESANN 2012 - modularity-based clustering for network-constrained trajectories [Details]
  • ESANN 2013 - Activity Date Estimation in Timestamped Interaction Networks [Details]
  • ESANN 2013 - Regularization in relevance learning vector quantization using l1-norms [Details]
  • ESANN 2015 - Exact ICL maximization in a non-stationary time extension of latent block model for dynamic networks [Details]
  • ESANN 2015 - Graphs in machine learning. An introduction [Details]
  • ESANN 2015 - Reducing offline evaluation bias of collaborative filtering [Details]
  • ESANN 2015 - Search Strategies for Binary Feature Selection for a Naive Bayes Classifier [Details]
  • ESANN 2015 - Using the Mean Absolute Percentage Error for Regression Models [Details]
  • ESANN 2017 - Accelerating stochastic kernel SOM [Details]
Fabrice Rossi
  • ESANN 2004 - functional radial basis function networks [Details]
Fabrice Rossi
  • ESANN 2004 - Functional preprocessing for multilayer perceptrons [Details]
Tuomo Rossi
  • ESANN 2018 - Scalable robust clustering method for large and sparse data [Details]
C. Rossi
  • ESANN 1996 - Constraining of weights using regularities [Details]
F. Rossi
  • ESANN 2002 - Theoretical properties of functional Multi Layer Perceptrons [Details]
David Rotermund
  • ESANN 2006 - On-line adaptation of neuro-prostheses with neuronal evaluation signals [Details]
Stefan Roth
  • ESANN 2005 - Applications of multi-objective structure optimization [Details]
Stefan Rotter
  • ESANN 2011 - Increased robustness and intermittent dynamics in structured Reservoir Networks with feedback [Details]
G. Rotundo
  • ESANN 1998 - Neural networks for financial forecast [Details]
José Rouco
  • ESANN 2019 - Blind-spot network for image anomaly detection: A new approach to diabetic retinopathy screening [Details]
Nicolas Rougier
  • ESANN 2004 - Reducing connectivity by using cortical modular bands [Details]
Nicolas Rougier
  • ESANN 2023 - Comparative study of the synfire chain and ring attractor model for timing in the premotor nucleus in male Zebra Finches [Details]
David Rousseau
  • ESANN 2016 - How machine learning won the Higgs boson challenge [Details]
  • ESANN 2018 - Systematics aware learning : a case study in high energy physics [Details]
Sandra Rousseau
  • ESANN 2012 - The error-related potential and BCIs [Details]
Gilles Roussel
  • ESANN 2014 - Enhanced NMF initialization using a physical model for pollution source apportionment [Details]
  • ESANN 2017 - Environmental signal processing: new trends and applications [Details]