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K. Steinhöfel
- ESANN 2001 - A local search method for pattern classification [Details]
- ESANN 2012 - Effects of noise-reduction on neural function approximation [Details]
- ESANN 1998 - Perception and action selection by anticipation of sensorimotor consequences [Details]
- ESANN 2006 - Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms [Details]
- ESANN 2019 - Application of deep neural networks for automatic planning in radiation oncology treatments [Details]
- ESANN 2001 - An alternative approach for the evaluation of the neocognitron [Details]
- ESANN 2009 - Oscillation in a network model of neocortex [Details]
- ESANN 2020 - Detection of abnormal driving situations using distributed representations and unsupervised learning [Details]
- ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
- ESANN 2018 - Towards cognitive automotive environment modelling: reasoning based on vector representations [Details]
- ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
- ESANN 2018 - Bioinformatics and medicine in the era of deep learning [Details]
- ESANN 2018 - Non-negative Matrix Factorization for Medical Imaging [Details]
- ESANN 2012 - Assessment of sequential Boltmann machines on a lexical processing task [Details]
- ESANN 2012 - Parallelization of Deep Networks [Details]
- ESANN 2016 - Human detection and classification of landing sites for search and rescue drones [Details]
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- ESANN 1999 - A hybrid system for fraud detection in mobile communications [Details]
- ESANN 2023 - Layered Neural Networks with GELU Activation, a Statistical Mechanics Analysis [Details]
- ESANN 2019 - On-line learning dynamics of ReLU neural networks using statistical physics techniques [Details]
- ESANN 2007 - Causality and communities in neural networks [Details]
- ESANN 2013 - Hierarchical Reinforcement Learning for Robot Navigation [Details]
- ESANN 2013 - A competitive approach for human activity recognition on smartphones [Details]
- ESANN 2004 - self-organizing context learning [Details]
- ESANN 2005 - Generalized Relevance LVQ with Correlation Measures for Biological Data [Details]
- ESANN 2005 - Relevance learning for mental disease classification [Details]
- ESANN 2006 - Sanger-driven MDSLocalize - a comparative study for genomic data [Details]
- ESANN 2008 - Metric adaptation for supervised attribute rating [Details]
- ESANN 2010 - Adaptive matrix distances aiming at optimum regression subspaces [Details]
- ESANN 2011 - Multispectral image characterization by partial generalized covariance [Details]
- ESANN 2012 - Posterior regularization and attribute assessment of under-determined linear mappings [Details]
- ESANN 2013 - A sparse kernelized matrix learning vector quantization model for human activity recognition [Details]
- ESANN 2013 - Soft rank neighbor embeddings [Details]
- ESANN 2014 - The Choquet kernel for monotone data [Details]
- ESANN 2003 - Unsupervised Recursive Sequence Processing [Details]
- ESANN 2016 - Differentiable piecewise-Bézier interpolation on Riemannian manifolds [Details]
- ESANN 2005 - Isolated word recognition using a Liquid State Machine [Details]
- ESANN 2007 - Adapting reservoir states to get Gaussian distributions [Details]
- ESANN 2008 - Pruning and Regularisation in Reservoir Computing: a First Insight [Details]
- ESANN 2001 - Neural networks with orthogonalised transfer functions [Details]
- ESANN 2023 - Performance Evaluation of Activation Functions in Extreme Learning Machine [Details]
- ESANN 2009 - Generalisation of action sequences in RNNPB networks with mirror properties [Details]
- ESANN 2019 - Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results [Details]