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
Michael Siers
  • ESANN 2016 - RBClust: High quality class-specific clustering using rule-based classification [Details]
Rafet Sifa
  • ESANN 2021 - Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis [Details]
  • ESANN 2022 - Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation [Details]
  • ESANN 2023 - Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements [Details]
Laurent Sifre
  • ESANN 2012 - Combined scattering for rotation invariant texture analysis [Details]
Pekka Siirtola
  • ESANN 2024 - Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations [Details]
Pekka Siirtola
  • ESANN 2016 - From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors [Details]
  • ESANN 2018 - Effect of context in swipe gesture-based continuous authentication on smartphones [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]
Bram Silue
  • ESANN 2026 - Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance [Details]
Helio Silva
  • ESANN 2022 - Predicting Test Execution Times with Asymmetric Random Forests [Details]
Pedro Silva
  • ESANN 2015 - Revisiting ant colony algorithms to seismic faults detection [Details]
Leandro Silva
  • ESANN 2020 - Binary and Multi-label Defect Classification of Printed Circuit Board based on Transfer Learning [Details]
  • ESANN 2023 - Evaluation of Contrastive Learning for Electronic Component Detection [Details]
Ricardo Silva
  • ESANN 2014 - Fine-tuning of support vector machine parameters using racing algorithms [Details]
  • ESANN 2015 - I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem [Details]
  • ESANN 2017 - A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets [Details]
Catarina Silva
  • ESANN 2021 - Decay Momentum for Improving Federated Learning [Details]
Helio Silva
  • No papers found
Daniel Silva
  • ESANN 2016 - An Immune-Inspired, Dependence-Based Approach to Blind Inversion of Wiener Systems [Details]
Robson Silva
  • ESANN 2012 - Recognition of HIV-1 subtypes and antiretroviral drug resistance using weightless neural networks [Details]
Rodrigo C. Silva
  • ESANN 2014 - Analysis of the Weighted Fuzzy C-means in the problem of source location [Details]
Daniel G. Silva
  • ESANN 2013 - Error entropy criterion in echo state network training [Details]
Luis Silva
  • ESANN 2005 - Neural network classification using Shannon's entropy [Details]
  • ESANN 2016 - Stacked denoising autoencoders for the automatic recognition of microglial cells’ state [Details]
Danilo Silva de Carvalho
  • ESANN 2017 - Efficient Neural-based patent document segmentation with Term Order Probabilities [Details]
Samuel Giatti Silva Filho
  • ESANN 2017 - Feature Extraction for On-Road Vehicle Detection Based on Support Vector Machine [Details]
M. Silva Rodriguez
  • ESANN 2001 - A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures [Details]
Deuslirio Silva-Junior
  • ESANN 2025 - Evolutionary Fault Localization Based on the Diversity of Suspiciousness Values [Details]
Daniel L. Silver
  • ESANN 2017 - Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification [Details]
Leonardo Silvestre
  • ESANN 2014 - Parameter-free regularization in Extreme Learning Machines with affinity matrices [Details]
Luca Silvestri
  • ESANN 2017 - Local Lyapunov Exponents of Deep RNN [Details]
Diana Sima
  • ESANN 2016 - Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation [Details]
S. Simani
  • ESANN 2002 - Neural networks for fault diagnosis and identification of industrial processes [Details]
  • ESANN 2002 - Neural networks for fault diagnosis of industrial plants at different working points [Details]
Cedric Simon
  • ESANN 2009 - Embedding Proximal Support Vectors into Randomized Trees [Details]
G. Simon
  • ESANN 2003 - Fast approximation of the bootstrap for model selection [Details]
B. Simon
  • ESANN 1993 - Laplacian pyramid with multilayer perceptrons interpolators [Details]
Geoffroy Simon
  • ESANN 2004 - fast bootstrap for least-square support vector machines [Details]
  • ESANN 2006 - Lag selection for regression models using high-dimensional mutual information [Details]