Emilio Del-Moral-Hernandez

According to our database1, Emilio Del-Moral-Hernandez authored at least 49 papers between 1995 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2020
<i>SOMprocessor</i>: A high throughput FPGA-based architecture for implementing Self-Organizing Maps and its application to video processing.
Neural Networks, 2020

2019
Human actions recognition in video scenes from multiple camera viewpoints.
Cogn. Syst. Res., 2019

Comparative study of Bitcoin price prediction using WaveNets, Recurrent Neural Networks and other Machine Learning Methods.
Proceedings of the 6th International Conference on Behavioral, 2019

2018
OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects.
Neural Comput. Appl., 2018

An FPGA-based SOM circuit architecture for online learning of 64-QAM data streams.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Extending MLP ANN hyper-parameters Optimization by using Genetic Algorithm.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A CMOS Squarer Based Nonlinear Filter for Spike Detection.
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018

Comparing methods for the estimation of a stationary battery's capacity.
Proceedings of the 8th IEEE International Conference on Consumer Electronics - Berlin, 2018

Balancing Convolutional Neural Networks Pipeline in FPGAs.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Comparison of three FPGA architectures for embedded multidimensional categorization through Kohonen's self-organizing maps.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

An FPGA distributed implementation model for embedded SOM with on-line learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Improving regression predictions using individual point reliability estimates based on critical error scenarios.
Inf. Sci., 2016

A CMOS implementation of the discrete time nonlinear energy operator based on a transconductor-squarer circuit.
Proceedings of the IEEE 7th Latin American Symposium on Circuits & Systems, 2016

2014
Architecture Analysis of an FPGA-Based Hopfield Neural Network.
Adv. Artif. Neural Syst., 2014

Estimation of individual prediction reliability using error analysis applied to short-term load forecasting problem.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Fine-tuning of the SOMkNN classifier.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Using neural networks committee machines to improve outcome prediction assessment in nonlinear regression.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Learning Embedded Data Structure with Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

SOMM - Self-Organized Manifold Mapping.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Combining wavelets transform and Hu moments with self-organizing maps for medical image categorization.
J. Electronic Imaging, 2011

Discriminant Component Analysis and Self-Organized Manifold Mapping for Exploring and Understanding Image Face Spaces.
Proceedings of the 24th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2011

A SOM combined with KNN for classification task.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Visual Interpretation of Self Organizing Maps.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

SVM - Neighbor based candidate working set selection applied on text-categorization.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Chaotic Neural Networks.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Context dependent pattern recognition - A framework for hybrid architectures bridging chaotic neural networks based on Recursive Processing Elements and symbolic information.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Classification of breast masses using a committee machine of artificial neural networks.
J. Electronic Imaging, 2008

A Methodology Using Neural Network to Cluster Validity Discovered from a Marketing Database.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

A self-organizing architecture of recursive elements for continuous learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

RPE-BAM networks: Bidirectional heteroassociation in neural networks of recursive nodes with rich dynamics.
Proceedings of the International Joint Conference on Neural Networks, 2008

Using self Organizing Maps and Nearest-Neighbor to Data Clustering.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008

2007
CMOS encoder for scale-independent pattern recognition.
Proceedings of the 20th Annual Symposium on Integrated Circuits and Systems Design, 2007

A Preliminary Neural Model for Movement Direction Recognition Based on Biologically Plausible Plasticity Rules.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

Medical Image Categorization Based on Wavelet Transform and Self-Organizing Map.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Performing Neuro-Like Computation Through Attractor Networks with Nodes with Rich Dynamics.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Chaotic Searches and Stable Spatio-temporal Patterns as a Naturally Emergent Mixture in Networks of Spiking Neural Oscillators with Rich Dynamics.
Proceedings of the International Joint Conference on Neural Networks, 2006

Fragmented Basins of Attraction of Recursive Processing Elements in Associative Neural Networks and its Impact on Pattern Recovery Performance.
Proceedings of the International Joint Conference on Neural Networks, 2006

Neural Networks and Rough Sets: A comparative study on data classification.
Proceedings of the 2006 International Conference on Artificial Intelligence, 2006

2005
Non-homogenous neural networks with chaotic recursive nodes: Connectivity and multi-assemblies structures in recursive processing elements architectures.
Neural Networks, 2005

Using independent subspace analysis for selecting filters used in texture processing.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Contrasting coupling strategies in associative neural networks with chaotic recursive processing elements.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

2003
Neural networks with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs.
Neural Networks, 2003

MLP+H: A Hybrid Neural Architecture Formed by the Interaction of Hopfield and Multi-Layer Perceptron Neural Networks.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2001
An artificial life approach for the animation of cognitive characters.
Comput. Graph., 2001

Arena and Woxbot: First Steps Towards Virtual World Simulations.
Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001

Studying Neural Networks of Bifurcating Recursive Processing Elements - Quantitative Methods for Architecture Design and Performance Analysis.
Proceedings of the Connectionist Models of Neurons, 2001

2000
Bifurcating Pulsed Neural Networks, Chaotic Neural Networks and Parametric Recursions: Conciliating Different Frameworks in Neuro-Like Computing.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1997
Strategies for Autonomous Adaptation and Learning in Dynamical Networks.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1995
Logistic Networks With DNA-Like Encoding and Interactions.
Proceedings of the From Natural to Artificial Neural Computation, 1995


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