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Cyril de Bodt
- ESANN 2018 - Extensive assessment of Barnes-Hut t-SNE [Details]
- ESANN 2018 - Perplexity-free t-SNE and twice Student tt-SNE [Details]
- ESANN 2019 - Class-aware t-SNE: cat-SNE [Details]
- ESANN 2019 - Tensor factorization to extract patterns in multimodal EEG data [Details]
- ESANN 2020 - Perplexity-free Parametric t-SNE [Details]
- ESANN 2021 - Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. [Details]
- ESANN 2021 - Stochastic quartet approach for fast multidimensional scaling [Details]
- ESANN 2023 - Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection [Details]
- ESANN 2023 - Fine-tuning is not (always) overfitting artifacts [Details]
- ESANN 2023 - Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration [Details]
- ESANN 2023 - On the number of latent representations in deep neural networks for tabular data [Details]
- ESANN 2024 - Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNE. [Details]
- ESANN 2024 - Forget early exaggeration in t-SNE: early hierarchization preserves global structure [Details]
- ESANN 1996 - A Kohonen map representation to avoid misleading interpretations [Details]
- ESANN 1997 - Kohonen maps versus vector quantization for data analysis [Details]
- ESANN 1998 - Forecasting time-series by Kohonen classification [Details]
- ESANN 1999 - Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm [Details]
- ESANN 2000 - Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity [Details]
- ESANN 2001 - Input data reduction for the prediction of financial time series [Details]
- ESANN 2001 - Some known facts about financial data [Details]
- ESANN 2011 - Sparse LS-SVMs with L0–norm minimization [Details]
- ESANN 2012 - Deconvolution in nonparametric statistics [Details]
- ESANN 2002 - Prediction of mental development of preterm newborns at birth time using LS-SVM [Details]
- ESANN 2022 - Federated Adaptation of Reservoirs via Intrinsic Plasticity [Details]
- ESANN 2023 - Communication-Efficient Ridge Regression in Federated Echo State Networks [Details]
- ESANN 2023 - Improving Fairness via Intrinsic Plasticity in Echo State Networks [Details]
- No papers found
- ESANN 2024 - Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis [Details]
- ESANN 2014 - An adjustable p-exponential clustering algorithm [Details]
- ESANN 2023 - Trends and Challenges for Sign Language Recognition with Machine Learning [Details]
- ESANN 2009 - Adaptive anisotropic denoising: a bootstrapped procedure [Details]
- ESANN 2009 - Patch-based bilateral filter and local m-smoother for image denoising [Details]
- ESANN 2010 - Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising [Details]
- ESANN 2016 - Semi-Supervised Classification of Social Textual Data Using WiSARD [Details]
- ESANN 2019 - Modeling Sparse Data as Input for Weightless Neural Network [Details]
- ESANN 2010 - Combining back-propagation and genetic algorithms to train neural networks for start-up time modeling in combined cycle power plants [Details]
- ESANN 2012 - Parallelization of Deep Networks [Details]
- ESANN 2008 - Active and reactive use of virtual neural sensors [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 2011 - Clustering data streams with weightless neural networks [Details]
- ESANN 2011 - Thresholds tuning of a neuro-symbolic net controlling a behavior-based robotic system [Details]
- ESANN 2013 - WIPS: the WiSARD Indoor Positioning System [Details]
- ESANN 2014 - Advances on Weightless Neural Systems [Details]
- ESANN 2014 - Can you follow that guy? [Details]
- ESANN 2016 - The WiSARD Classifier [Details]
- ESANN 2017 - WiSARDrp for Change Detection in Video Sequences [Details]
- ESANN 2019 - An evolutionary approach for optimizing weightless neural networks [Details]
- ESANN 2020 - Detection of elementary particles with the WiSARD n-tuple classifier [Details]
- ESANN 2021 - Weightless Neural Networks for text classification using tf-idf [Details]
- ESANN 2022 - Classification of preclinical markers in Alzheimer's disease via WiSARD classifier [Details]
- ESANN 2023 - Improving the DRASiW performance by exploiting its own "Mental Images" [Details]
- ESANN 2024 - ''Mental Images'' driven classification [Details]
- ESANN 2016 - Human detection and classification of landing sites for search and rescue drones [Details]
- ESANN 2013 - Using Wikipedia with associative networks for document classification [Details]
- ESANN 2003 - Neural assembly binding in linguistic representation [Details]
- ESANN 1994 - Stability analysis of diagonal recurrent neural networks [Details]
- ESANN 1996 - Application of high-order Boltzmann machines in OCR [Details]
- ESANN 2016 - Assessment of diabetic retinopathy risk with random forests [Details]
- ESANN 2020 - An agile machine learning project in pharma - developing a Mask R-CNN-based web application for bacterial colony counting [Details]
- ESANN 2020 - Deep Learning to Detect Bacterial Colonies for the Production of Vaccines [Details]
- ESANN 2020 - Machine learning in the biopharma industry [Details]
- ESANN 2009 - Improving the transition modelling in hidden Markov models for ECG segmentation [Details]
- ESANN 2011 - Class-Specific Feature Selection for One-Against-All Multiclass SVMs [Details]
- ESANN 2019 - Machine learning in research and development of new vaccines products: opportunities and challenges [Details]
- ESANN 2018 - A variable projection method for block term decomposition of higher-order tensors [Details]
- ESANN 2006 - Connection strategies in neocortical networks [Details]
- ESANN 2004 - Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony [Details]
- ESANN 2005 - Spike-timing-dependent plasticity in 'small world' networks [Details]
- ESANN 2008 - Simulation of a recurrent neurointerface with sparse electrical connections [Details]