Logistic Networks With DNA-Like Encoding and Interactions. - Nabil H. Farhat; Emílio Del Moral Hernandez (IWANN, 1995)

Strategies for Autonomous Adaptation and Learning in Dynamical Networks. - Nabil H. Farhat; Emílio Del Moral Hernandez; Gee-Hyuk Lee (IWANN, 1997)

Bifurcating Pulsed Neural Networks, Chaotic Neural Networks and Parametric Recursions: Conciliating Different Frameworks in Neuro-Like Computing. - Emílio Del Moral Hernandez (IJCNN (6), 2000)

Studying Neural Networks of Bifurcating Recursive Processing Elements - Quantitative Methods for Architecture Design and Performance Analysis. - Emílio Del Moral Hernandez (IWANN (1), 2001)

Arena and Woxbot: First Steps Towards Virtual World Simulations. - João Eduardo Kögler Jr.; Márcio Lobo Netto; Emílio Del Moral Hernandez; Fábio Roberto Miranda (SIBGRAPI, 2001)

An artificial life approach for the animation of cognitive characters. - Fábio Roberto Miranda; João Eduardo Kögler Jr.; Emílio Del Moral Hernandez; Márcio Lobo Netto (Comput. Graph., 2001)

Neural networks with chaotic recursive nodes: design of associative memories, performance analysis, and contrast with traditional Hopfield architectures. - Emílio Del Moral Hernandez (IJCNN, 2003)

MLP+H: A Hybrid Neural Architecture Formed by the Interaction of Hopfield and Multi-Layer Perceptron Neural Networks. - Clayton Silva Oliveira; Emílio Del Moral Hernandez (IWANN (1), 2003)

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

A new hybrid neural architecture (MLP+RPE) for hetero association: multi layer perceptron and coupled recursive processing elements neural networks. - Emílio Del Moral Hernandez; Leandro Augusto da Silva 001 (IJCNN, 2004)

Pattern recovery in networks of recursive processing elements with continuous learning. - Emílio Del Moral Hernandez; Humberto Sandmann; Leonardo Augusto da Silva (IJCNN, 2004)

Forms of adapting patterns to Hopfield neural networks with larger number of nodes and higher storage capacity. - Clayton Silva Oliveira; Emílio Del Moral Hernandez (IJCNN, 2004)

Contrasting coupling strategies in associative neural networks with chaotic recursive processing elements. - Emílio Del Moral Hernandez (Neural Networks and Computational Intelligence, 2004)

Using independent subspace analysis for selecting filters used in texture processing. - Carlos Silva Santos; João Eduardo Kögler Jr.; Emílio Del Moral Hernandez (ICIP (1), 2005)

Non-homogenous structures in neural networks with chaotic recursive nodes: dealing with diverse multi-assemblies architectures, connectivity and arbitrary bifurcating nodes. - Emilio Del-Moral-Hernandez (IJCNN, 2005)

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

Neural Networks and Rough Sets: A comparative study on data classification. - Renato José Sassi; Leandro Augusto da Silva 001; Emílio Del Moral Hernandez (IC-AI, 2006)

Fragmented Basins of Attraction of Recursive Processing Elements in Associative Neural Networks and its Impact on Pattern Recovery Performance. - Emílio Del Moral Hernandez (IJCNN, 2006)

Chaotic Searches and Stable Spatio-temporal Patterns as a Naturally Emergent Mixture in Networks of Spiking Neural Oscillators with Rich Dynamics. - Emílio Del Moral Hernandez (IJCNN, 2006)

Performing Neuro-Like Computation Through Attractor Networks with Nodes with Rich Dynamics. - Emílio Del Moral Hernandez (IJCNN, 2007)

Medical Image Categorization Based on Wavelet Transform and Self-Organizing Map. - Leandro Augusto da Silva 001; Ramon Alfredo Moreno; Sérgio Shiguemi Furuie; Emílio Del Moral Hernandez (ISDA, 2007)

A Preliminary Neural Model for Movement Direction Recognition Based on Biologically Plausible Plasticity Rules. - Eduardo Akira Kinto; Emílio Del Moral Hernandez; Alexis Marcano-Cedeño; Francisco Javier Ropero Peláez (IWINAC (2), 2007)

CMOS encoder for scale-independent pattern recognition. - Julio Saldaña Pumarica; Emílio Del Moral Hernandez; Carlos Silva Cárdenas (SBCCI, 2007)

Using self Organizing Maps and Nearest-Neighbor to Data Clustering. - Clodis Boscarioli; Emílio Del Moral Hernandez; Leandro Augusto da Silva 001 (IC-AI, 2008)

RPE-BAM networks: Bidirectional heteroassociation in neural networks of recursive nodes with rich dynamics. - Emílio Del Moral Hernandez (IJCNN, 2008)

A self-organizing architecture of recursive elements for continuous learning. - Leandro Augusto da Silva 001; Humberto Sandmann; Emílio Del Moral Hernandez (IJCNN, 2008)

A Methodology Using Neural Network to Cluster Validity Discovered from a Marketing Database. - Renato José Sassi; Leandro Augusto da Silva 001; Emílio Del Moral Hernandez (SBRN, 2008)

Classification of breast masses using a committee machine of artificial neural networks. - Leandro Augusto da Silva 001; Emílio Del Moral Hernandez; Rangaraj M. Rangayyan (J. Electronic Imaging, 2008)

Context dependent pattern recognition - A framework for hybrid architectures bridging chaotic neural networks based on Recursive Processing Elements and symbolic information. - Emilio Del-Moral-Hernandez; Humberto Sandmann; Gleison Araujo (IJCNN, 2009)

Chaotic Neural Networks. - Emilio Del-Moral-Hernandez (Encyclopedia of Artificial Intelligence, 2009)

SVM - Neighbor based candidate working set selection applied on text-categorization. - Eduardo Akira Kinto; Emilio Del-Moral-Hernandez (IJCNN, 2010)

Visual Interpretation of Self Organizing Maps. - Edson C. Kitani; Emílio Del Moral Hernandez; Carlos E. Thomaz; Leandro Augusto da Silva 001 (SBRN, 2010)

A SOM combined with KNN for classification task. - Leandro Augusto da Silva 001; Emilio Del-Moral-Hernandez (IJCNN, 2011)

Discriminant Component Analysis and Self-Organized Manifold Mapping for Exploring and Understanding Image Face Spaces. - Gilson A. Giraldi; Edson C. Kitani; Emilio Del-Moral-Hernandez; Carlos E. Thomaz (SIBGRAPI Tutorials, 2011)

Combining wavelets transform and Hu moments with self-organizing maps for medical image categorization. - Leandro Augusto da Silva 001; Emilio Del-Moral-Hernandez; Ramon Alfredo Moreno; Sérgio Shiguemi Furuie (J. Electronic Imaging, 2011)

SOMM - Self-Organized Manifold Mapping. - Edson Caoru Kitani; Emilio Del-Moral-Hernandez; Leandro Augusto da Silva 001 (ICANN (2), 2012)

Learning Embedded Data Structure with Self-Organizing Maps. - Edson C. Kitani; Emilio Del-Moral-Hernandez; Leandro Augusto da Silva 001 (WSOM, 2012)

Using neural networks committee machines to improve outcome prediction assessment in nonlinear regression. - Elia Yathie Matsumoto; Emílio Del Moral Hernandez (IJCNN, 2013)

Fine-tuning of the SOMkNN classifier. - Leandro Augusto da Silva 001; Edson C. Kitani; Emilio Del-Moral-Hernandez (IJCNN, 2013)

Estimation of individual prediction reliability using error analysis applied to short-term load forecasting problem. - Elia Yathie Matsumoto; Emílio Del Moral Hernandez (IJCNN, 2014)

Architecture Analysis of an FPGA-Based Hopfield Neural Network. - Miguel Angelo de Abreu de Sousa; Edson Lemos Horta; Sergio Takeo Kofuji; Emilio Del-Moral-Hernandez (Adv. Artif. Neural Syst., 2014)

A CMOS implementation of the discrete time nonlinear energy operator based on a transconductor-squarer circuit. - Julio Saldaña Pumarica; Carlos Silva Cárdenas; Emilio Del-Moral-Hernandez (LASCAS, 2016)

Improving regression predictions using individual point reliability estimates based on critical error scenarios. - Elia Yathie Matsumoto; Emilio Del-Moral-Hernandez (Inf. Sci., 2016)

An FPGA distributed implementation model for embedded SOM with on-line learning. - Miguel Angelo de Abreu de Sousa; Emilio Del-Moral-Hernandez (IJCNN, 2017)

Comparison of three FPGA architectures for embedded multidimensional categorization through Kohonen's self-organizing maps. - Miguel Angelo de Abreu de Sousa; Emilio Del-Moral-Hernandez (ISCAS, 2017)

Balancing Convolutional Neural Networks Pipeline in FPGAs. - Mark Cappello Ferreira de Sousa; Miguel Angelo de Abreu de Sousa; Emilio Del-Moral-Hernandez (ICANN (1), 2018)

Comparing methods for the estimation of a stationary battery's capacity. - Patrick Cadier D'Aquino e Baroni Santos; Antonio Carlos Seabra; Emilio Del-Moral-Hernandez (ICCE-Berlin, 2018)

A CMOS Squarer Based Nonlinear Filter for Spike Detection. - Julio Saldaña Pumarica; Emilio Del-Moral-Hernandez (ICECS, 2018)

Extending MLP ANN hyper-parameters Optimization by using Genetic Algorithm. - Fernando Itano; Miguel Angelo de Abreu de Sousa; Emilio Del-Moral-Hernandez (IJCNN, 2018)

An FPGA-based SOM circuit architecture for online learning of 64-QAM data streams. - Miguel Angelo de Abreu de Sousa; Ricardo Pires; Sara D. dos S. Perseghini; Emilio Del-Moral-Hernandez (IJCNN, 2018)

OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects. - Miguel Angelo de Abreu de Sousa; Ricardo Pires; Emilio Del-Moral-Hernandez (Neural Comput. Appl., 2018)

Comparative study of Bitcoin price prediction using WaveNets, Recurrent Neural Networks and other Machine Learning Methods. - Leonardo Kanashiro Felizardo; Roberth Oliveira; Emilio Del-Moral-Hernandez; Fábio Gagliardi Cozman (BESC, 2019)

Human actions recognition in video scenes from multiple camera viewpoints. - Fernando Itano; Ricardo Pires; Miguel Angelo de Abreu de Sousa; Emilio Del-Moral-Hernandez (Cogn. Syst. Res., 2019)

SOMprocessor: A high throughput FPGA-based architecture for implementing Self-Organizing Maps and its application to video processing. - Miguel Angelo de Abreu de Sousa; Ricardo Pires; Emilio Del-Moral-Hernandez (Neural Networks, 2020)

A model to estimate the Self-Organizing Maps grid dimension for Prototype Generation. - Leandro Augusto da Silva 001; Bruno P. de Vasconcelos; Emilio Del-Moral-Hernandez (Intell. Data Anal., 2021)

Solving the optimal stopping problem with reinforcement learning: an application in financial option exercise. - Leonardo Kanashiro Felizardo; Elia Yathie Matsumoto; Emilio Del-Moral-Hernandez (IJCNN, 2022)

Reinforcement Learning Applied to Trading Systems: A Survey. - Leonardo Kanashiro Felizardo; Francisco Caio Lima Paiva; Anna Helena Reali Costa; Emilio Del-Moral-Hernandez (CoRR, 2022)

Outperforming algorithmic trading reinforcement learning systems: A supervised approach to the cryptocurrency market. - Leonardo Kanashiro Felizardo; Francisco Caio Lima Paiva; Catharine de Vita Graves; Elia Yathie Matsumoto; Anna Helena Reali Costa; Emilio Del-Moral-Hernandez; Paolo Brandimarte (Expert Syst. Appl., 2022)

Forecasting US dollar exchange rate movement with computational models and human behavior. - Elia Yathie Matsumoto; Emilio Del-Moral-Hernandez; Claudia Emiko Yoshinaga; Afonso de Campos Pinto (Expert Syst. Appl., 2022)

CNN-LSTM Optimized by Genetic Algorithm in Time Series Forecasting: An Automatic Method to Use Deep Learning. - Eder Urbinate; Fernando Itano; Emilio Del-Moral-Hernandez (ICAISC (1), 2023)

Reinforcement learning approaches for the stochastic discrete lot-sizing problem on parallel machines. - Leonardo Kanashiro Felizardo; Edoardo Fadda; Emilio Del-Moral-Hernandez; Paolo Brandimarte (Expert Syst. Appl., 2024)

A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks. - Leonardo Kanashiro Felizardo; Edoardo Fadda; Paolo Brandimarte; Emilio Del-Moral-Hernandez; Mariá Cristina Vasconcelos Nascimento (CoRR, 2025)