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C. Boutevin
- ESANN 2001 - Segmentation of switching dynamics with a Hidden Markov Model of neural prediction experts [Details]
- ESANN 2009 - Classification of high-dimensional data for cervical cancer detection [Details]
- ESANN 2009 - Supervised classification of categorical data with uncertain labels for DNA barcoding [Details]
- ESANN 2011 - Probabilistic Fisher discriminant analysis [Details]
- ESANN 2012 - Recent developments in clustering algorithms [Details]
- ESANN 2012 - Robust clustering of high-dimensional data [Details]
- ESANN 2015 - A State-Space Model for the Dynamic Random Subgraph Model [Details]
- No papers found
- ESANN 2023 - Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM [Details]
- ESANN 2022 - Deep latent position model for node clustering in graphs [Details]
- ESANN 2014 - Weighted tree kernels for sequence analysis [Details]
- ESANN 2012 - Interval coded scoring systems for survival analysis [Details]
- ESANN 2017 - The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study [Details]
- ESANN 2014 - A new approach for multiple instance learning based on a homogeneity bag operator [Details]
- ESANN 2014 - An Extreme Learning Approach to Active Learning [Details]
- ESANN 2014 - Parameter-free regularization in Extreme Learning Machines with affinity matrices [Details]
- ESANN 2010 - Introduction to Computational Intelligence Business Applications [Details]
- ESANN 2012 - Cluster homogeneity as a semi-supervised principle for feature selection using mutual information [Details]
- ESANN 2024 - Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings [Details]
- ESANN 2026 - Scaling up graph-based classifiers with a divide and conquer approach [Details]
- ESANN 2019 - Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest [Details]
- ESANN 2007 - A new decision strategy in multi-objective training of the artificial neural networks [Details]
- ESANN 2007 - A-LSSVM: an Adaline based iterative sparse LS-SVM classifier [Details]
- ESANN 2007 - Complexity bounds of radial basis functions and multi-objective learning [Details]
- ESANN 2008 - A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy [Details]
- ESANN 2009 - Machine Learning with Labeled and Unlabeled Data [Details]
- ESANN 2013 - GA-KDE-Bayes: an evolutionary wrapper method based on non-parametric density estimation applied to bioinformatics problems [Details]
- ESANN 2015 - An affinity matrix approach for structure selection of extreme learning machines [Details]
- ESANN 2015 - Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach [Details]
- ESANN 2015 - Training Multi-Layer Perceptron with Multi-Objective Optimization and Spherical Weights Representation [Details]
- ESANN 2019 - Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest [Details]
- ESANN 2014 - Parameter-free regularization in Extreme Learning Machines with affinity matrices [Details]
- ESANN 2000 - Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier [Details]
- ESANN 2015 - Survival Analysis with Cox Regression and Random Non-linear Projections [Details]
- ESANN 2024 - Transfer learning to minimize the predictive risk in clinical research [Details]
- ESANN 2026 - On the Importance of Time Constants in Spiking Neural Networks [Details]
- ESANN 2026 - Movements as Images: CNNs are Good Feature Extractors in Sign Language Recognition [Details]
- ESANN 2020 - Cross-Encoded Meta Embedding towards Transfer Learning [Details]
- ESANN 2013 - Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis [Details]
- ESANN 2025 - Encoding Graph Topology with Randomized Ising Models [Details]
- ESANN 1995 - An episodic knowledge base for object understanding [Details]
- ESANN 2004 - Learning by geometrical shape changes of dendritic spines [Details]
- ESANN 2000 - A neuro-fuzzy approach as medical diagnostic interface [Details]
- ESANN 2002 - Kernel Temporal Component Analysis (KTCA) [Details]
- ESANN 2026 - Beyond Performance: Comprehensive Evaluation Strategies for Impactful Machine Learning [Details]
- ESANN 2018 - stellar formation rates in galaxies using machine learning models [Details]
- ESANN 2011 - Approaches for Automatic Speaker Recognition in a Binaural Humanoid Context [Details]
- ESANN 2019 - Memory Efficient Weightless Neural Network using Bloom Filter [Details]