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
Steven Michiels
  • ESANN 2022 - Machine learning for automated quality control in injection moulding manufacturing [Details]
Steven Michiels
  • No papers found
Luiza Mici
  • ESANN 2016 - Activity recognition with echo state networks using 3D body joints and objects category [Details]
Daniel Migault
  • ESANN 2014 - Extreme learning machines for Internet traffic classification [Details]
Karl Øyvind Mikalsen
  • ESANN 2018 - Learning compressed representations of blood samples time series with missing data [Details]
A.S. Mikhailov
  • ESANN 1994 - Memory, learning and neuromediators [Details]
Alfredo Milani
  • ESANN 2021 - Combining Attack Success Rate and DetectionRate for effective Universal Adversarial Attacks [Details]
Paolo Milazzo
  • ESANN 2020 - Biochemical Pathway Robustness Prediction with Graph Neural Networks [Details]
Pavel Milenov
  • ESANN 2010 - An automated SOM clustering based on data topology [Details]
Edna Milgo
  • ESANN 2015 - Bernoulli bandits: an empirical comparison [Details]
  • ESANN 2017 - Comparison of adaptive MCMC methods [Details]
Ruy Luiz Milidiú
  • ESANN 2009 - Improving BAS committee performance with a semi-supervised approach [Details]
Cristian Millán
  • ESANN 2019 - Human feedback in continuous actor-critic reinforcement learning [Details]
Mónica Millán-Giraldo
  • ESANN 2013 - Feature Selection for Footwear Shape Estimation [Details]
  • ESANN 2013 - Machine Learning Techniques for Short-Term Electric Power Demand Prediction [Details]
  • ESANN 2013 - Temperature Forecast in Buildings Using Machine Learning Techniques [Details]
P. I. Miller
  • ESANN 1997 - Recurrent neural networks and motor programs [Details]
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
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
  • ESANN 2022 - Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets [Details]
Simone Minisi
  • No papers found
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