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Peter Apers
- ESANN 2014 - Comparison of local and global undirected graphical models [Details]
- ESANN 2019 - Explaining classification systems using sparse dictionaries [Details]
- ESANN 1998 - A neural network for the identification of the dynamic behaviour of a wheelchair [Details]
- ESANN 2016 - Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness [Details]
- ESANN 2015 - Solar PV Power Forecasting Using Extreme Learning Machine and Information Fusion [Details]
- ESANN 2002 - Width optimization of the Gaussian kernels in Radial Basis Function Networks [Details]
- ESANN 2003 - Locally Linear Embedding versus Isotop [Details]
- ESANN 2003 - On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures [Details]
- ESANN 2004 - Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions ? [Details]
- ESANN 2007 - Mixtures of robust probabilistic principal component analyzers [Details]
- ESANN 2004 - Flexible and Robust Bayesian Classification by Finite Mixture Models [Details]
- ESANN 2024 - An Efficient Neural Architecture Search Model for Medical Image Classification [Details]
- ESANN 1998 - Cellular neural networks: from chaos generation to compexity modelling [Details]
- ESANN 2008 - An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees [Details]
- ESANN 1997 - A fuzzy Artmap neural system for the prediction of turbulent velocity fields [Details]
- ESANN 2005 - An On-line Fisher Discriminant [Details]
- ESANN 2005 - Boosting by weighting boundary and erroneous samples [Details]
- ESANN 2017 - Supporting generative models of spatial behavior by user interaction [Details]
- ESANN 2022 - Input Routed Echo State Networks [Details]
- ESANN 2011 - Approaches for Automatic Speaker Recognition in a Binaural Humanoid Context [Details]
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- ESANN 2025 - Enhancing Image Classification in Quantum Computing: A Study on Preprocessing Techniques and Qubit Limitations [Details]
- ESANN 2014 - A multi-class extension for multi-labeler support vector machines [Details]
- ESANN 2009 - Cerebellum and spatial cognition: A connectionist approach [Details]
- ESANN 2024 - Evaluation methodology for disentangled uncertainty quantification on regression models [Details]
- ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
- ESANN 2017 - Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders [Details]
- ESANN 2011 - A unified approach to estimation and control of the False Discovery Rate in Bayesian network skeleton identification [Details]
- ESANN 2011 - An Introduction to Deep Learning [Details]
- ESANN 2021 - Differentially Private Time Series Generation [Details]
- ESANN 2011 - Stability of Neural Network Control for Uncertain Sampled-Data Systems [Details]
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- ESANN 2022 - Pruning Weightless Neural Networks [Details]
- ESANN 1999 - Supervised Art-II: a new neural network architecture, with quicker learning algorithm, for learning and classifying multivaled input patterns [Details]
- ESANN 2021 - Decay Momentum for Improving Federated Learning [Details]
- ESANN 2021 - Improvement on Generative Adversarial Network for Targeted Drug Design [Details]
- ESANN 2021 - Multiobjective Reinforcement Learning in Optimized Drug Design [Details]
- ESANN 2023 - Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction [Details]