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H.A.B. te Braake
- ESANN 1996 - Regulated Activation Weights Neural Network (RAWN) [Details]
- ESANN 1994 - Model selection for neural networks: comparing MDL and NIC [Details]
- ESANN 2025 - A variational framework for local learning with probabilistic latent representations [Details]
- ESANN 2006 - iterative context compilation for visual object recognition [Details]
- ESANN 2019 - A document detection technique using convolutional neural networks for optical character recognition systems [Details]
- ESANN 2016 - Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data [Details]
- ESANN 2024 - CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search [Details]
- ESANN 2023 - Exploring the Importance of Sign Language Phonology for a Deep Neural Network [Details]
- ESANN 1996 - Negative initial weights improve learning in recurrent neural networks [Details]
- ESANN 1995 - A distribution-based model of the dynamics of neural networks in the cerebral cortex [Details]
- ESANN 2006 - Freeform surface induction from projected planar curves via neural networks [Details]
- ESANN 2005 - Phase transition in sparse associative neural networks [Details]
- ESANN 2002 - Free-swinging and locked joint fault detection and isolation in cooperative manipulators [Details]
- ESANN 2018 - Graph based neural networks for automatic classification of multiple sclerosis clinical courses [Details]
- ESANN 2019 - Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions [Details]
- ESANN 2006 - Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms [Details]
- ESANN 2016 - Spatiotemporal ICA improves the selection of differentially expressed genes [Details]
- ESANN 2009 - Gene expression data analysis using spatiotemporal blind source separation [Details]
- ESANN 2014 - Capturing confounding sources of variation in DNA methylation data by spatiotemporal independent component analysis [Details]
- ESANN 2008 - Multi-class classification of ovarian tumors [Details]
- ESANN 2012 - Assessment of sequential Boltmann machines on a lexical processing task [Details]
- ESANN 2014 - A HMM-based pre-training approach for sequential data [Details]
- ESANN 1994 - Input Parameters' estimation via neural networks [Details]
- ESANN 2009 - On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers [Details]
- ESANN 2006 - Learning for stochastic dynamic programming [Details]
- ESANN 2009 - On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers [Details]
- ESANN 2014 - Direct Model-Predictive Control [Details]
- ESANN 2014 - Meta Online Learning: Experiments on a Unit Commitment Problem [Details]
- ESANN 2021 - Geometric Probing of Word Vectors [Details]
- ESANN 2017 - Learning sparse models of diffusive graph signals [Details]
- ESANN 2004 - Linearization identification and an application to BSS using a SOM [Details]
- ESANN 2004 - Separability of analytic postnonlinear blind source separation with bounded sources [Details]
- ESANN 2004 - Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform [Details]
- No papers found
- ESANN 2022 - Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation [Details]