A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
M. Kokol
- ESANN 1995 - Function approximation by localized basis function neural network [Details]
- ESANN 2007 - Complexity bounds of radial basis functions and multi-objective learning [Details]
- ESANN 2008 - Parallel asynchronous neighborhood mechanism for WTM Kohonen network implemented in CMOS technology [Details]
- ESANN 2009 - Hardware Implementation Issues of the Neighborhood Mechanism in Kohonen Self Organized Feature Maps [Details]
- ESANN 2010 - Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology [Details]
- ESANN 2011 - Fisherman learning algorithm of the SOM realized in the CMOS technology [Details]
- ESANN 2012 - Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA [Details]
- ESANN 2014 - An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing Maps [Details]
- ESANN 1994 - Concerning the formation of chaotic behaviour in recurrent neural networks [Details]
- ESANN 1998 - A RNN based control architecture for generating periodic action sequences [Details]
- ESANN 2011 - Multispectral image characterization by partial generalized covariance [Details]
- ESANN 2020 - Verifying Deep Learning-based Decisions for Facial Expression Recognition [Details]
- ESANN 2009 - Spline-based neuro-fuzzy Kolmogorov’s network for time series prediction [Details]
- No papers found
- ESANN 2022 - Data stream generation through real concept's interpolation [Details]
- ESANN 2018 - Effect of context in swipe gesture-based continuous authentication on smartphones [Details]
- ESANN 2015 - Real-time activity recognition via deep learning of motion features [Details]
- ESANN 2014 - Misclassification of class C G-protein-coupled receptors as a label noise problem [Details]
- ESANN 2023 - Performance Evaluation of Activation Functions in Extreme Learning Machine [Details]
- ESANN 1993 - Embedding knowledge ibto stochastic learning automata for fast solution ofbinary constraint satisfaction problems [Details]
- ESANN 2013 - Content-based image retrieval with hierarchical Gaussian Process bandits with self-organizing maps [Details]
- ESANN 2015 - Pareto Local Search for MOMDP Planning [Details]
- ESANN 1997 - Size invariance by dynamic scaling in neural vision systems [Details]
- ESANN 2015 - A simple technique for improving multi-class classification with neural networks [Details]
- ESANN 2019 - Modeling Sparse Data as Input for Weightless Neural Network [Details]
- ESANN 1996 - The extraction of Sugeno fuzzy rules from neural networks [Details]
- ESANN 2018 - On aggregation in ranking median regression [Details]
- ESANN 2018 - Order Crossover for the Inventory Routing Problem [Details]
- ESANN 1997 - The class of linear separability method [Details]
- ESANN 1997 - Time delay neural network for target-intercept problem solving [Details]
- ESANN 2021 - Predicting employee attrition with a more effective use of historical events [Details]
- ESANN 2004 - Learning by geometrical shape changes of dendritic spines [Details]
- ESANN 1997 - Sequential hypotheses tests for modelling neural networks [Details]
- ESANN 2006 - Adaptive scene-dependent filters in online learning environments [Details]
- ESANN 1996 - Maximum covariance method for weight initialization of multilayer perceptron network [Details]
- ESANN 2019 - Conditional BRUNO: a neural process for exchangeable labelled data [Details]