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
C. Majos
  • ESANN 2002 - The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals [Details]
Debjeet Majumdar
  • ESANN 2018 - Unsupervised domain adaptation of deep object detectors [Details]
Rainer Malaka
  • ESANN 2006 - iterative context compilation for visual object recognition [Details]
Milad Malekzadeh Shafaroudi
  • ESANN 2017 - Imitation learning for a continuum trunk robot [Details]
Avleen Malhi
  • ESANN 2021 - Context-specific sampling method for contextual explanations [Details]
Pankaj Malhotra
  • ESANN 2015 - Long Short Term Memory Networks for Anomaly Detection in Time Series [Details]
  • ESANN 2017 - TimeNet: Pre-trained deep recurrent neural network for time series classification [Details]
  • ESANN 2019 - Fusing Features based on Signal Properties and TimeNet for Time Series Classification [Details]
Imre Gergely Mali
  • ESANN 2023 - Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game [Details]
Kleanthis Malialis
  • ESANN 2024 - Self-Supervised Learning from Incrementally Drifting Data Streams [Details]
Raghvendra Mall
  • ESANN 2015 - Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering [Details]
  • ESANN 2016 - Fast in-memory spectral clustering using a fixed-size approach [Details]
Stéphane Mallat
  • ESANN 2010 - Geometric models with co-occurrence groups [Details]
  • ESANN 2012 - Combined scattering for rotation invariant texture analysis [Details]
S. Mallat
  • ESANN 1998 - Wavelet interpolation networks [Details]
Fragkiskos D. Malliaros
  • ESANN 2025 - Network Science Meets AI: A Converging Frontier [Details]
H.P. Mallot
  • ESANN 1995 - Learning of cognitive maps from sequences of views [Details]
Hanspeter A. Mallot
  • ESANN 2021 - Hierarchical Planning in Multilayered State-Action Networks [Details]
Sami Malola
  • ESANN 2021 - Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces [Details]
Z. Malouche
  • ESANN 1997 - A linear adaptive neural network for extraction of independent components [Details]
Davide Maltoni
  • ESANN 2021 - Continual Learning at the Edge: Real-Time Training on Smartphone Devices [Details]
M. Malvezzi
  • ESANN 2003 - Comparison of traditional and neural systems for train speed estimation [Details]
Nadia Mammone
  • ESANN 2005 - A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction [Details]
Jeevan Manavalan
  • ESANN 2017 - Learning null space projections fast [Details]
Giovanni Manca
  • ESANN 2021 - Slope: A First-order Approach for Measuring Gradient Obfuscation [Details]
Matei Mancas
  • No papers found
Matei Mancas
  • ESANN 2022 - Semi-synthetic Data for Automatic Drone Shadow Detection [Details]
Bernard Manderick
  • ESANN 2012 - The Exploration vs Exploitation Trade-Off in Bandit Problems: An Empirical Study [Details]
  • ESANN 2014 - Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem [Details]
  • ESANN 2015 - Bernoulli bandits: an empirical comparison [Details]
  • ESANN 2015 - Thompson Sampling for Multi-Objective Multi-Armed Bandits Problem [Details]
  • ESANN 2017 - Comparison of adaptive MCMC methods [Details]
Danilo Mandic
  • ESANN 2020 - Tensor Decompositions in Deep Learning [Details]
D.P. Mandic
  • ESANN 2002 - Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality [Details]
  • ESANN 2003 - Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression [Details]
jouini Manel
  • ESANN 2012 - Image reconstruction using an iterative SOM based algorithm [Details]
M. Mangeas
  • ESANN 1993 - Time series and neural: a statistical method for weight elimination [Details]
  • ESANN 1997 - New criterion of identification in the multilayered perceptron modelling [Details]
  • ESANN 2003 - Road Singularities Detection and Classification [Details]
Michail Maniadakis
  • ESANN 2011 - Time Experiencing by Robotic Agents [Details]
Andrea Mannini
  • ESANN 2021 - Deep Echo State Networks for Functional Ambulation Categories Estimation [Details]