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
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]
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]
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]
G. Simon
  • ESANN 2003 - Fast approximation of the bootstrap for model selection [Details]
B. Simon
  • ESANN 1993 - Laplacian pyramid with multilayer perceptrons interpolators [Details]
Lorenzo Simone
  • ESANN 2025 - Towards Efficient Molecular Property Optimization with Graph Energy Based Models [Details]
Anthony Simonofski
  • ESANN 2018 - Structuring and Solving Multi-Criteria Decision Making Problems using Artificial Neural Networks: a smartphone recommendation case [Details]
Olli Simula
  • ESANN 2008 - A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM [Details]
  • ESANN 2010 - Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs [Details]
O. Simula
  • ESANN 2001 - Interpretation and comparison of multivariate data partitions [Details]
  • ESANN 2002 - Mobile radio access network monitoring using the self-organizing map [Details]
Leon Sindelar
  • ESANN 2019 - Dynamic fairness - Breaking vicious cycles in automatic decision making [Details]
Dennis Sinder
  • ESANN 2008 - Combining neural networks and optimization techniques for visuokinesthetic prediction and motor planning [Details]
Priyanka Singh
  • ESANN 2025 - Continual Contrastive Learning on Tabular Data with Out of Distribution [Details]
Sukhi Singh
  • ESANN 2025 - CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks [Details]
Rekha Singhal
  • ESANN 2021 - Data-Efficient Training of High-Resolution Images in Medical Domain [Details]
Christine Sinoquet
  • ESANN 2023 - A hidden Markov model with Hawkes process-derived contextual variables to improve time series prediction. Case study in medical simulation. [Details]
  • ESANN 2024 - LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables. [Details]
  • ESANN 2025 - Investigating four deep learning approaches as candidates for unified models in time series forecasting and event prediction: application in anesthesia training [Details]
Christine Sinoquet
  • ESANN 2018 - Combining latent tree modeling with a random forest-based approach, for genetic association studies [Details]
  • ESANN 2018 - Enhancement of a stochastic Markov-blanket framework with ant colony optimization, to uncover epistasis in genetic association studies [Details]
Henrique Siqueira
  • ESANN 2018 - A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition [Details]
Massimiliano Sirgiovanni
  • ESANN 2025 - Generate Polyphonic Music with Multivariate Masked Autoregressive Flow [Details]
Anna Siri
  • ESANN 2017 - Dropout Prediction at University of Genoa: a Privacy Preserving Data Driven Approach [Details]