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
John Miller
  • ESANN 2023 - On Transformer Autoregressive Decoding for Multivariate Time Series Forecasting [Details]
G. Millerioux
  • ESANN 2000 - Support Vector Committee Machines [Details]
  • ESANN 2002 - State reconstruction of piecewise linear maps using a clustering machine [Details]
Sebastian Millner
  • ESANN 2012 - Towards biologically realistic multi-compartment neuron model emulation in analog VLSI [Details]
Gaëlle MILON-HARNOIS
  • ESANN 2022 - 1D vs 2D convolutional neural networks for scalp high frequency oscillations identification [Details]
Gaëlle MILON-HARNOIS
  • No papers found
Pasquale Minervini
  • ESANN 2025 - Enhancing neural link predictors for temporal knowledge graphs with temporal regularisers [Details]
Zsolt Minier
  • ESANN 2007 - Kernel PCA based clustering for inducing features in text categorization [Details]
Alexey Minin
  • ESANN 2009 - Monotonic Recurrent Bounded Derivative Neural Network [Details]
  • ESANN 2011 - Comparison of the Complex Valued and Real Valued Neural Networks Trained with Gradient Descent and Random Search Algorithms [Details]
  • ESANN 2012 - Complex Valued Artificial Recurrent Neural Network as a Novel Approach to Model the Perceptual Binding Problem [Details]
Simone Minisi
  • No papers found
Simone Minisi
  • ESANN 2022 - Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets [Details]
Péricles Miranda
  • ESANN 2014 - Fine-tuning of support vector machine parameters using racing algorithms [Details]
  • ESANN 2017 - A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets [Details]
C. Mirasso
  • ESANN 2003 - Anticipated synchronization in neuron models [Details]
Florian Mirus
  • ESANN 2020 - Detection of abnormal driving situations using distributed representations and unsupervised learning [Details]
Florian Mirus
  • ESANN 2018 - Towards cognitive automotive environment modelling: reasoning based on vector representations [Details]
  • ESANN 2019 - Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions [Details]
  • ESANN 2019 - Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture [Details]
B. Mirzai
  • ESANN 1998 - On the robust design of uncoupled CNNs [Details]
Krishna Mohan Mishra
  • ESANN 2019 - Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems [Details]
Rachel Mislovaty
  • No papers found
Ranjeev Misra
  • ESANN 2015 - Autoencoding time series for visualisation [Details]
Toshiyuki Miyatani
  • ESANN 2006 - Non-linear gating network for the large scale classification model CombNET-II [Details]
Eduardo Mizraji
  • ESANN 2024 - Exploring Self-Organizing Maps for Addressing Semantic Impairments [Details]
S. Mizutani
  • ESANN 1999 - Heterogeneity enhanced order in a chaotic neural network [Details]
Andriy Mnih
  • ESANN 2008 - Improving a statistical language model by modulating the effects of context words [Details]
Chiara Mocenni
  • ESANN 2006 - A Cyclostationary Neural Network model for the prediction of the NO2 concentration [Details]
Victor Mocioiu
  • ESANN 2016 - A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases [Details]
Luis Alfredo Moctezuma Pascual
  • ESANN 2024 - Exploring High- and Low-Density Electroencephalography for a Dream Decoding Brain-Computer Interface [Details]
  • ESANN 2024 - Unveiling Dreams: Moving Towards Automatic Dream Decoding via PSD-Based EEG Analysis and Machine Learning [Details]
  • ESANN 2025 - Sleep Staging with Gradient Boosting and DWT-PSD Features from EEG/EOG Signals [Details]
Ralf Moeller
  • ESANN 2010 - Adaptive learning rate control for "neural gas principal component analysis" [Details]
  • ESANN 2010 - Distance functions for local PCA methods [Details]
Hans Moen
  • ESANN 2020 - Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical Domain [Details]
Paul Moggridge
  • ESANN 2023 - On Instance Weighted Clustering Ensembles [Details]
Ali Mohammad-Djafari
  • ESANN 2006 - Bayesian source separation: beyond PCA and ICA [Details]
  • ESANN 2006 - Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images [Details]
  • ESANN 2011 - Nearest neighbors and correlation dimension for dimensionality estimation. Application to factor analysis of real biological time series data. [Details]
Mohammad Mohammadi
  • ESANN 2018 - Globular Cluster Detection in the Gaia Survey [Details]