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Luis Sanchez
- ESANN 2023 - SOM-based Classification and a Novel Stopping Criterion for Astroparticle Applications [Details]
- No papers found
- ESANN 2006 - Classification of Boar Sperm Head Images using Learning Vector Quantization [Details]
- ESANN 2016 - On the analysis of feature selection techniques in a conjunctival hyperemia grading framework [Details]
- ESANN 2016 - On the analysis of feature selection techniques in a conjunctival hyperemia grading framework [Details]
- ESANN 2003 - Self-organizing maps and functional networks for local dynamic modeling [Details]
- ESANN 2004 - Shear strength prediction using dimensional analysis and functional networks [Details]
- ESANN 2005 - a new wrapper method for feature subset selection [Details]
- ESANN 2007 - Classification of computer intrusions using functional networks. A comparative study [Details]
- ESANN 2011 - Statistical dependence measure for feature selection in microarray datasets [Details]
- ESANN 2013 - A distributed wrapper approach for feature selection [Details]
- ESANN 2014 - Toward parallel feature selection from vertically partitioned data [Details]
- ESANN 2018 - Feature selection for label ranking [Details]
- ESANN 2013 - Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment [Details]
- ESANN 2008 - K-nearest neighbours based on mutual information for incomplete data classification [Details]
- ESANN 2020 - Machine learning framework for control in classical and quantum domains [Details]
- ESANN 2016 - Controlling adaptive quantum-phase estimation with scalable reinforcement learning [Details]
- ESANN 2000 - Learning VOR-like stabilization reflexes in robots [Details]
- ESANN 2017 - Complex activity patterns generated by short-term synaptic plasticity [Details]
- ESANN 2005 - Two or three things that we (intend to) know about Hopfield and Tank networks [Details]
- ESANN 1993 - Modelling biological learning from its generalization capacity [Details]
- ESANN 2001 - Numerical implementation of continuous Hopfield networks for optimization [Details]
- ESANN 2017 - Extracting urban water usage habits from smart meter data: a functional clustering approach [Details]
- ESANN 1998 - Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis [Details]
- ESANN 2016 - Learning with hard constraints as a limit case of learning with soft constraints [Details]
- ESANN 2006 - Cultures of dissociated neurons display a variety of avalanche behaviours [Details]
- ESANN 2016 - Assessment of diabetic retinopathy risk with random forests [Details]
- ESANN 2019 - lightweight autonomous bayesian optimization of Echo-State Networks [Details]
- ESANN 2014 - Improved Cat Swarm Optimization approach applied to reliability-redundancy problem [Details]
- ESANN 2009 - Brain-Computer Interfaces: from theory to practice [Details]
- ESANN 2010 - Directional predictions for 4-class BCI data [Details]
- ESANN 2020 - Fast Deep Neural Networks Convergence using a Weightless Neural Model [Details]
- ESANN 2019 - Memory Efficient Weightless Neural Network using Bloom Filter [Details]
- ESANN 2022 - A WiSARD-based conditional branch predictor [Details]
- ESANN 2022 - Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks [Details]
- ESANN 2022 - Pruning Weightless Neural Networks [Details]
- No papers found
- ESANN 2000 - Using higher order synapses and nodes to improve sensing capabilities of mobile robots [Details]
- ESANN 2013 - Random Brains: An ensemble method for feature selection with neural networks [Details]