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
Raul Santos-Rodriguez
  • ESANN 2016 - Informative data projections: a framework and two examples [Details]
  • ESANN 2018 - Efficient approximate representations for computationally expensive features [Details]
  • ESANN 2018 - Person Identification and Discovery With Wrist Worn Accelerometer Data [Details]
Prateek Veeranna Sappadla
  • ESANN 2016 - Using semantic similarity for multi-label zero-shot classification of text documents [Details]
Dominique Sappey-Marinier
  • No papers found
Dominique Sappey-Marinier
  • ESANN 2022 - A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification [Details]
Nicolae-Bogdan Sara
  • ESANN 2015 - High-School Dropout Prediction Using Machine Learning: A Danish Large-scale Study [Details]
Vijaya Saradhi
  • ESANN 2020 - Mining Temporal Changes in Strengths and Weaknesses of Cricket Players Using Tensor Decomposition [Details]
Panagiotis Saragiotis
  • ESANN 2005 - Learning to classify a collection of images and texts [Details]
Sascha Sarajalew
  • ESANN 2021 - AGLVQ - Making Generalized Vector Quantization Algorithms Aware of Context [Details]
Sascha Saralajew
  • ESANN 2018 - Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach [Details]
  • ESANN 2019 - DropConnect for Evaluation of Classification Stability in Learning Vector Quantization [Details]
Sascha Saralajew
  • ESANN 2024 - Domain Knowledge Integration in Machine Learning Systems - An Introduction [Details]
Sascha Saralajew
  • ESANN 2021 - Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation [Details]
  • ESANN 2021 - The Coming of Age of Interpretable and Explainable Machine Learning Models [Details]
Simo Särkkä
  • ESANN 2017 - Prediction of preterm infant mortality with Gaussian process classification [Details]
Simo Sarkka
  • ESANN 2020 - Respiratory Pattern Recognition from Low-Resolution Thermal Imaging [Details]
Lorenzo Sarti
  • ESANN 2004 - Recursive networks for processing graphs with labelled edges [Details]
Saarthak Sarup
  • ESANN 2023 - Energy-efficient detection of a spike sequence [Details]
O. Sarzeaud
  • ESANN 1993 - An algorithm to learn sequences within the connectionist sequential machine [Details]
Sreedhar Saseendran Kumar
  • ESANN 2018 - Controlling biological neural networks with deep reinforcement learning [Details]
L. Sasu
  • ESANN 2003 - A Fuzzy ARTMAP Probability Estimator with Relevance Factor [Details]
Lucian Sasu
  • ESANN 2004 - Convergence properties of a fuzzy ARTMAP network [Details]
Héctor F. Satizábal
  • ESANN 2016 - Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery [Details]
Shin'ichi Satoh
  • ESANN 2024 - CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search [Details]
Craig Saunders
  • ESANN 2005 - A probabilistic framework for mismatch and profile string kernels [Details]
André Saunite
  • ESANN 2005 - Using CMU PIE Human Face Database to a Convolutional Neural Network - Neocognitron [Details]
Eric Sauser
  • ESANN 2004 - Three dimensional frames of reference transformations using gain modulated populations of neurons [Details]
Lucile Sautot
  • ESANN 2015 - Efficient unsupervised clustering for spatial birds population analysis along the river Loire [Details]
  • ESANN 2015 - NLDR methods for high dimensional NIRS dataset : application to vineyard soils characterization [Details]
  • ESANN 2017 - Large-scale nonlinear dimensionality reduction for network intrusion detection [Details]
Nicolas Sauwen
  • ESANN 2016 - Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation [Details]
E. Savelieva
  • ESANN 2000 - Application of MLP and stochastic simulations for electricity load forecasting in Russia [Details]
Gaia Saveri
  • ESANN 2022 - Graph Neural Networks for Propositional Model Counting [Details]
Gaia Saveri
  • No papers found
Eerika Savia
  • ESANN 2007 - Functional elements and networks in fMRI [Details]