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
Nicolai Petkov
  • ESANN 2006 - Classification of Boar Sperm Head Images using Learning Vector Quantization [Details]
  • ESANN 2009 - Adaptive Metrics for Content Based Image Retrieval in Dermatology [Details]
  • ESANN 2018 - Globular Cluster Detection in the Gaia Survey [Details]
Teodora Petrisor
  • ESANN 2024 - Towards Contrail Mitigation through Robust and Frugal AI-Driven Data Exploitation [Details]
A. Petrolini
  • ESANN 1999 - Support vector machines vs multi-layer perceptrons in particle identification [Details]
Vahan Petrosyan
  • ESANN 2017 - Viral initialization for spectral clustering [Details]
Clément Peyrard
  • ESANN 2016 - Boosting face recognition via neural Super-Resolution [Details]
Lukas Pfannschmidt
  • ESANN 2017 - Feature Relevance Bounds for Linear Classification [Details]
  • ESANN 2019 - Feature relevance bounds for ordinal regression [Details]
Beat Pfister
  • ESANN 2004 - Speaker verification by means of ANNs [Details]
G. Pfurtscheller
  • ESANN 1995 - Improvement of EEG classification with a subject-specific feature selection [Details]
  • ESANN 1995 - Trimming the inputs of RBF networks [Details]
Tung Pham
  • ESANN 2016 - Fast Support Vector Clustering [Details]
Dinh Nam Pham
  • ESANN 2023 - Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions [Details]
Dinh-Tuan Pham
  • ESANN 2006 - Discriminacy of the minimum range approach to blind separation of bounded sources [Details]
Rémy Phan-Ba
  • ESANN 2014 - Machine learning techniques to assess the performance of a gait analysis system [Details]
Markus Philipp
  • ESANN 2018 - Self-learning assembly systems during ramp-up [Details]
Christophe Phillips
  • ESANN 2017 - Support vector components analysis [Details]
Dinh Phung
  • ESANN 2014 - Using Shannon Entropy as EEG Signal Feature for Fast Person Identification [Details]
Justus Piater
  • ESANN 2014 - Joint SVM for Accurate and Fast Image Tagging [Details]
  • ESANN 2015 - Learning missing edges via kernels in partially-known graphs [Details]
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 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]
David Picard
  • ESANN 2021 - Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters [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]