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M.A. Foy
- ESANN 2002 - A data vizualisation method for investigating the reliability of a high-dimensional low-back-pain MLP network [Details]
- ESANN 2017 - Approximate operations in Convolutional Neural Networks with RNS data representation [Details]
- ESANN 2021 - Context-specific sampling method for contextual explanations [Details]
- ESANN 2005 - Adaptive robot learning in a non-stationary environment [Details]
- ESANN 2007 - Replacing eligibility trace for action-value learning with function approximation [Details]
- ESANN 2009 - A brief introduction to Weightless Neural Systems [Details]
- ESANN 2009 - Extracting fuzzy rules from “mental” images generated by a modified WISARD perceptron [Details]
- ESANN 2012 - Recognition of HIV-1 subtypes and antiretroviral drug resistance using weightless neural networks [Details]
- ESANN 2013 - B-bleaching: Agile Overtraining Avoidance in the WiSARD Weightless Neural Classifier [Details]
- ESANN 2013 - Dynamic Placement with Connectivity for RSNs based on a Primal-Dual Neural Network [Details]
- ESANN 2013 - WIPS: the WiSARD Indoor Positioning System [Details]
- ESANN 2015 - A WiSARD-based multi-term memory framework for online tracking of objects [Details]
- ESANN 2017 - A neuro-symbolic approach to GPS trajectory classification [Details]
- ESANN 2017 - ELM vs. WiSARD: a performance comparison [Details]
- ESANN 2018 - Near-optimal facial emotion classification using a WiSARD-based weightless system [Details]
- ESANN 2020 - Detection of elementary particles with the WiSARD n-tuple classifier [Details]
- ESANN 2020 - Fast Deep Neural Networks Convergence using a Weightless Neural Model [Details]
- ESANN 2020 - Interpretation of Model Agnostic Classifiers via Local Mental Images [Details]
- ESANN 2021 - A bag of nodes primer on weightless graph classification [Details]
- ESANN 2021 - Functional Gradient Descent for n-Tuple Regression [Details]
- ESANN 2022 - A WiSARD-based conditional branch predictor [Details]
- ESANN 2022 - Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks [Details]
- ESANN 2022 - Pruning Weightless Neural Networks [Details]
- ESANN 1998 - Generating arbitrary rhythmic patterns with purely inhibitory neural networks [Details]
- ESANN 2023 - Sun Tracking using a Weightless Q-Learning Neural Network [Details]
- ESANN 2023 - WiSARD-based Ensemble Learning [Details]
- ESANN 2011 - Clustering data streams with weightless neural networks [Details]
- ESANN 2019 - MAP best performances prediction for endurance runners [Details]
- ESANN 1996 - Biologically inspired eye movements for visually guided navigation of mobile robots [Details]
- ESANN 2014 - Extreme learning machines for Internet traffic classification [Details]
- ESANN 2019 - lightweight autonomous bayesian optimization of Echo-State Networks [Details]
- ESANN 2023 - Mitigating Robustness Bias: Theoretical Results and Empirical Evidences [Details]
- ESANN 2005 - Non-Euclidean metrics for similarity search in noisy datasets [Details]
- ESANN 2006 - The permutation test for feature selection by mutual information [Details]
- ESANN 2007 - Feature clustering and mutual information for the selection of variables in spectral data [Details]
- ESANN 2008 - Methodology and standards for data analysis with machine learning tools [Details]
- ESANN 2009 - Supervised variable clustering for classification of NIR spectra [Details]
- ESANN 2010 - Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising [Details]
- ESANN 2011 - Class-Specific Feature Selection for One-Against-All Multiclass SVMs [Details]
- ESANN 2005 - Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in culture [Details]
- ESANN 2005 - Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in culture [Details]
- ESANN 2024 - Robustness and Regularization in Hierarchical Re-Basin [Details]
- ESANN 2026 - Revisiting Neural Activation Coverage for Uncertainty Estimation [Details]
- ESANN 2020 - Explorations in Quantum Neural Networks with Intermediate Measurements [Details]
- ESANN 2019 - visualizing image classification in fourier domain [Details]
- ESANN 2002 - A reconfigurable SOM hardware accelerator [Details]
- ESANN 1999 - A topological transformation for hidden recursive modelsarchitecture networks [Details]
- ESANN 2026 - Enriching Graph Topology Representations with Line Graph Transformations [Details]
- ESANN 2020 - Self-organized dynamic attractors in recurrent neural networks [Details]
- ESANN 2014 - Improved Cat Swarm Optimization approach applied to reliability-redundancy problem [Details]
- ESANN 2014 - Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networks [Details]
- ESANN 2015 - The use of RBF neural network to predict building’s corners hygrothermal behavior [Details]
- ESANN 2016 - On the improvement of static force capacity of humanoid robots based on plants behavior [Details]
- ESANN 2017 - Feature Extraction for On-Road Vehicle Detection Based on Support Vector Machine [Details]
- ESANN 2012 - Learning visuo-motor coordination for pointing without depth calculation [Details]
- ESANN 2014 - A new model selection approach for the ELM network using metaheuristic optimization [Details]
- ESANN 2017 - A Robust Minimal Learning Machine based on the M-Estimator [Details]
- ESANN 2015 - A new genetic algorithm for multi-label correlation-based feature selection [Details]
- ESANN 2020 - Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis [Details]