Emilio Del-Moral-Hernandez
Orcid: 0000-0003-4554-168XAffiliations:
- University of São Paulo, Department of Electronic Systems Engineering, Brazil
According to our database1,
Emilio Del-Moral-Hernandez
authored at least 56 papers
between 1995 and 2024.
Collaborative distances:
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on orcid.org
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on lsi.usp.br
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Bibliography
2024
Reinforcement learning approaches for the stochastic discrete lot-sizing problem on parallel machines.
Expert Syst. Appl., 2024
2023
CNN-LSTM Optimized by Genetic Algorithm in Time Series Forecasting: An Automatic Method to Use Deep Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2023
2022
Forecasting US dollar exchange rate movement with computational models and human behavior.
Expert Syst. Appl., 2022
Outperforming algorithmic trading reinforcement learning systems: A supervised approach to the cryptocurrency market.
Expert Syst. Appl., 2022
Solving the optimal stopping problem with reinforcement learning: an application in financial option exercise.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
A model to estimate the Self-Organizing Maps grid dimension for Prototype Generation.
Intell. Data Anal., 2021
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
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
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018
Proceedings of the 8th IEEE International Conference on Consumer Electronics - Berlin, 2018
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
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
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
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
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012
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
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
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
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
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
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
Comput. Graph., 2001
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
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997
1995
Proceedings of the From Natural to Artificial Neural Computation, 1995