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Hugo Martin
- ESANN 2012 - Fast calibration of hand movements-based interface for arm exoskeleton control [Details]
- ESANN 2003 - Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation [Details]
- ESANN 2020 - Cost-free resolution enhancement in Convolutional Neural Networks for medical image segmentation [Details]
- ESANN 2020 - Quantum Machine Learning [Details]
- ESANN 2023 - Quantum Artificial Intelligence: A tutorial [Details]
- ESANN 2012 - Constructing similarity networks using the Fisher information metric [Details]
- ESANN 2012 - Making machine learning models interpretable [Details]
- ESANN 2012 - extended visualization method for classification trees [Details]
- ESANN 2013 - Feature Selection for Footwear Shape Estimation [Details]
- ESANN 2013 - Least-squares temporal difference learning based on extreme learning machine [Details]
- ESANN 2013 - ManiSonS: A New Visualization Tool for Manifold Clustering [Details]
- ESANN 2016 - Performance assessment of quantum clustering in non-spherical data distributions [Details]
- ESANN 2016 - Physics and Machine Learning: Emerging Paradigms [Details]
- ESANN 2017 - Randomized Machine Learning Approaches: Recent Developments and Challenges [Details]
- ESANN 2014 - Ensembles of extreme learning machine networks for value prediction [Details]
- ESANN 2004 - Representing hierarchical relationships using a modified Asymmetric SOM Algorithm [Details]
- ESANN 2003 - Visualizing asymmetric proximities with MDS models [Details]
- ESANN 2024 - Large Language Models as Tuning Agents of Metaheuristics [Details]
- ESANN 2021 - Robust Malware Classification via Deep Graph Networks on Call Graph Topologies [Details]
- ESANN 2003 - Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis [Details]
- ESANN 2006 - OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method [Details]
- ESANN 2007 - Explicit Kernel Rewards Regression for data-efficient near-optimal policy identification [Details]
- ESANN 2007 - Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments [Details]
- ESANN 2007 - The Intrinsic Recurrent Support Vector Machine [Details]
- ESANN 2008 - Learning Data Representations with Sparse Coding Neural Gas [Details]
- ESANN 2010 - Learning sparse codes for image reconstruction [Details]
- ESANN 2014 - Learning and modeling big data [Details]
- ESANN 2024 - AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras [Details]
- ESANN 2025 - Deciphering Barlow Twins: Reduncy Reduction is Insufficient and Normalization is Key [Details]
- ESANN 2025 - Investigating the Impact of Imbalanced Medical Data on the Performance of Self-Supervised Learning Approaches [Details]
- ESANN 2026 - Local Concept Embeddings in the Context of Self-Supervised Learning [Details]
- ESANN 2005 - Domain expert approximation through oracle learning [Details]
- ESANN 2000 - Support Vector Committee Machines [Details]
- ESANN 2002 - Kernel Temporal Component Analysis (KTCA) [Details]
- ESANN 2003 - An event-driven framework for the simulation of networks of spiking neurons [Details]
- ESANN 2011 - Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps [Details]
- ESANN 2011 - Growing Hierarchical Sectors on Sectors [Details]
- ESANN 2007 - A supervised learning approach based on STDP and polychronization in spiking neuron networks [Details]
- ESANN 2001 - A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures [Details]
- ESANN 2014 - Ensembles of extreme learning machine networks for value prediction [Details]
- ESANN 2023 - Exploring the Importance of Sign Language Phonology for a Deep Neural Network [Details]
- ESANN 1999 - Marble slabs quality classification system using texture recognition and neural networks methodology [Details]
- ESANN 2012 - Regularized Committee of Extreme Learning Machine for Regression Problems [Details]
- ESANN 2012 - extended visualization method for classification trees [Details]
- ESANN 2013 - Least-squares temporal difference learning based on extreme learning machine [Details]
- ESANN 2013 - Machine Learning Techniques for Short-Term Electric Power Demand Prediction [Details]
- ESANN 2013 - ManiSonS: A New Visualization Tool for Manifold Clustering [Details]
- ESANN 2013 - Temperature Forecast in Buildings Using Machine Learning Techniques [Details]
- ESANN 2022 - Multioutput Regression Neural Network Training via Gradient Boosting [Details]
- ESANN 2012 - On the Independence of the Individual Predictions in Parallel Randomized Ensembles [Details]
- ESANN 2014 - Improving the Robustness of Bagging with Reduced Sampling Size [Details]
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- ESANN 2008 - A Method for Time Series Prediction using a Combination of Linear Models [Details]
- ESANN 2012 - One-class classifier based on extreme value statistics [Details]
- ESANN 2014 - Modeling consumption of contents and advertising in online newspapers [Details]
- ESANN 2016 - A fast learning algorithm for high dimensional problems: an application to microarrays [Details]
- ESANN 2017 - Algorithmic challenges in big data analytics [Details]
- ESANN 2017 - Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing [Details]
- ESANN 2021 - End-to-end Keyword Spotting using Xception-1d [Details]
- ESANN 2012 - Regularized Committee of Extreme Learning Machine for Regression Problems [Details]
- ESANN 2016 - Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data [Details]
- ESANN 2011 - Sparsity Issues in Self-Organizing-Maps for Structures [Details]
- ESANN 2004 - Integrated low noise signal conditioning interface for neuroengineering applications [Details]
- ESANN 2016 - Human detection and classification of landing sites for search and rescue drones [Details]