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
F. Piazza
  • ESANN 1999 - A comparison of three PCA neural techniques [Details]
N. Pican
  • ESANN 1994 - A lateral contribution learning algorithm for multi MLP architecture [Details]
  • ESANN 1996 - Synaptic efficiency modulations for context integration: The meta ODWE architecture [Details]
David Picard
  • ESANN 2021 - Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters [Details]
David Picard
  • ESANN 2012 - Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm [Details]
  • ESANN 2013 - Machine Learning and Content-Based Multimedia Retrieval [Details]
  • ESANN 2014 - Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers [Details]
  • ESANN 2015 - Asynchronous decentralized convex optimization through short-term gradient averaging [Details]
Fabien Picarougne
  • ESANN 2025 - Investigating four deep learning approaches as candidates for unified models in time series forecasting and event prediction: application in anesthesia training [Details]
Arianna Piccialli
  • ESANN 2024 - Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes [Details]
Maren Pielka
  • ESANN 2021 - Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis [Details]
N. Piera i Carrete
  • ESANN 1996 - A fast Bayesian algorithm for Boolean functions synthesis by means of perceptron networks [Details]
Sébastien Piérard
  • ESANN 2014 - Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis [Details]
  • ESANN 2014 - Machine learning techniques to assess the performance of a gait analysis system [Details]
Juliano Pierezan
  • ESANN 2016 - On the improvement of static force capacity of humanoid robots based on plants behavior [Details]
Maurizio Pierini
  • ESANN 2023 - Knowledge Distillation for Anomaly Detection [Details]
M. Pietikäinen
  • ESANN 2003 - Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine [Details]
Olivier Pietquin
  • ESANN 2009 - Kernelizing Vector Quantization Algorithms [Details]
  • ESANN 2010 - Online speaker diarization with a size-monitored growing neural gas algorithm [Details]
  • ESANN 2011 - Single-trial P300 detection with Kalman filtering and SVMs [Details]
Giuliano Pignata
  • ESANN 2018 - Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders [Details]
Antti Pihlajamäki
  • ESANN 2021 - Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces [Details]
Marten Pijl
  • ESANN 2006 - Classification of Boar Sperm Head Images using Learning Vector Quantization [Details]
Bernardo Pilarz
  • ESANN 2015 - Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs [Details]
J. Pilkington
  • ESANN 1994 - Variable binding in a neural network using a distributed representation [Details]
O. Pinaud
  • ESANN 1999 - Mean-field equations reveal synchronization in a 2-populations neural network model [Details]
Denis Henrique Pinheiro Salvadeo
  • ESANN 2023 - Large-scale dataset and benchmarking for hand and face detection focused on sign language [Details]
  • ESANN 2024 - Generation of Simulated Dataset of Computed Tomography Images of Eggs and Extraction of Measurements Using Deep Learning [Details]
Brieuc Pinon
  • ESANN 2023 - A model-based approach to meta-Reinforcement Learning: Transformers and tree search [Details]
Rui F. Pinto
  • ESANN 2024 - Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models [Details]
David Pinto
  • ESANN 2015 - An affinity matrix approach for structure selection of extreme learning machines [Details]
Maura Pintor
  • ESANN 2021 - Slope: A First-order Approach for Measuring Gradient Obfuscation [Details]
  • ESANN 2023 - Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization [Details]
  • ESANN 2023 - Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness [Details]
Gordon Pipa
  • ESANN 2006 - The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks [Details]
Luepol Pipanmaekaporn
  • ESANN 2015 - Designing semantic feature spaces for brain-reading [Details]
S. Piramuthu
  • ESANN 1996 - Neural versus neurofuzzy systems for credit approval [Details]
Giorgio Piras
  • ESANN 2023 - Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization [Details]
Gustavo Augusto Pires
  • ESANN 2025 - Enhancing Image Classification in Quantum Computing: A Study on Preprocessing Techniques and Qubit Limitations [Details]
Guilherme Pires
  • ESANN 2020 - Variational MIxture of Normalizing Flows [Details]