Introduction to implicative fuzzy associative memories. - Marcos Eduardo Valle; Peter Sussner; Fernando Gomide (IJCNN, 2004)

A Brief Account of the Relations between Gray-Scale Mathematical Morphologies. - Peter Sussner; Marcos Eduardo Valle (SIBGRAPI, 2005)

Recall of Patterns Using Morphological and Certain Fuzzy Morphological Associative Memories with Applications in Classification and Prediction. - Peter Sussner; Marcos Eduardo Valle (FUZZ-IEEE, 2006)

Implicative Fuzzy Associative Memories. - Peter Sussner; Marcos Eduardo Valle (IEEE Trans. Fuzzy Syst., 2006)

Gray-scale morphological associative memories. - Peter Sussner; Marcos Eduardo Valle (IEEE Trans. Neural Networks, 2006)

Fuzzy Associative Memories from the Perspective of Mathematical Morphology. - Marcos Eduardo Valle; Peter Sussner (FUZZ-IEEE, 2007)

Associative memories based on fuzzy mathematical morphology and an application in prediction. - Marcos Eduardo Valle; Peter Sussner (ISMM (2), 2007)

Morphological and Certain Fuzzy Morphological Associative Memories for Classification and Prediction. - Peter Sussner; Marcos Eduardo Valle (Computational Intelligence Based on Lattice Theory, 2007)

Fuzzy morphological associative memories based on uninorms. - Marcos Eduardo Valle; Peter Sussner (FUZZ-IEEE, 2008)

A general framework for fuzzy morphological associative memories. - Marcos Eduardo Valle; Peter Sussner (Fuzzy Sets Syst., 2008)

Classification of Fuzzy Mathematical Morphologies Based on Concepts of Inclusion Measure and Duality. - Peter Sussner; Marcos Eduardo Valle (J. Math. Imaging Vis., 2008)

An Introduction to Parameterized IFAM Models with Applications in Prediction. - Peter Sussner; Rodolfo Miyasaki; Marcos Eduardo Valle (IFSA/EUSFLAT Conf., 2009)

Sparsely Connected Autoassociative Fuzzy Implicative Memories for the Reconstruction of Large Gray-Scale Images. - Marcos Eduardo Valle (IFSA/EUSFLAT Conf., 2009)

A Class of Sparsely Connected Autoassociative Morphological Memories for Large Color Images. - Marcos Eduardo Valle (IEEE Trans. Neural Networks, 2009)

A New Class of Implicative Fuzzy Associative Memories for the Reconstruction of Gray-Scale Images Corrupted by Salt and Pepper Noise. - Marcos Eduardo Valle (SBRN, 2010)

Sparsely connected autoassociative fuzzy implicative memories and their application for the reconstruction of large gray-scale images. - Marcos Eduardo Valle (Neurocomputing, 2010)

Permutation-based finite implicative fuzzy associative memories. - Marcos Eduardo Valle (Inf. Sci., 2010)

Some experimental results on sparsely connected autoassociative morphological memories for the reconstruction of color images corrupted by either impulsive or Gaussian noise. - Marcos Eduardo Valle; Daniela Maria Grande Vicente (IJCNN, 2011)

Storage and recall capabilities of fuzzy morphological associative memories with adjunction-based learning. - Marcos Eduardo Valle; Peter Sussner (Neural Networks, 2011)

Fuzzy Associative Memories Based on Subsethood and Similarity Measures with Applications to Speaker Identification. - Estevão Laureano Esmi; Peter Sussner; Marcos Eduardo Valle; Fábio Sakuray; Laécio C. Barros (HAIS (2), 2012)

Spherical CIELab QAMs: Associative Memories Based on the CIELab System and Quantales for the Storage of Color Images. - Marcos Eduardo Valle; Peter Sussner; Estevão Laureano Esmi (HAIS (2), 2012)

A Semilattice Approach towards Sparsely Connected Associative Memories. - Peter Sussner; Marcos Eduardo Valle (KES, 2012)

Sparsely Connected Autoassociative Lattice Memories with an Application for the Reconstruction of Color Images. - Marcos Eduardo Valle; Daniela Maria Grande Vicente (J. Math. Imaging Vis., 2012)

Quantale-based autoassociative memories with an application to the storage of color images. - Marcos Eduardo Valle; Peter Sussner (Pattern Recognit. Lett., 2013)

A Novel Continuous-Valued Quaternionic Hopfield Neural Network. - Marcos Eduardo Valle (BRACIS, 2014)

An introduction to the max-plus projection autoassociative morphological memory and some of its variations. - Marcos Eduardo Valle (FUZZ-IEEE, 2014)

An introduction to complex-valued recurrent correlation neural networks. - Marcos Eduardo Valle (IJCNN, 2014)

A Robust Subspace Projection Autoassociative Memory Based on the M-Estimation Method. - Marcos Eduardo Valle (IEEE Trans. Neural Networks Learn. Syst., 2014)

Complex-Valued Recurrent Correlation Neural Networks. - Marcos Eduardo Valle (IEEE Trans. Neural Networks Learn. Syst., 2014)

Generalized Recurrent Exponential Fuzzy Associative Memories Based on Similarity Measures. - Aline Cristina de Souza; Marcos Eduardo Valle; Peter Sussner (IFSA-EUSFLAT, 2015)

Elementary Morphological Operations on the Spherical CIELab Quantale. - Marcos Eduardo Valle; Raul Ambrozio Valente (ISMM, 2015)

Theoretical and computational aspects of quaternionic multivalued Hopfield neural networks. - Marcos Eduardo Valle; Fidelis Zanetti de Castro (IJCNN, 2016)

Continuous-Valued Quaternionic Hopfield Neural Network for Image Retrieval: A Color Space Study. - Fidelis Zanetti de Castro; Marcos Eduardo Valle (BRACIS, 2017)

A Fast and Robust Max-C Projection Fuzzy Autoassociative Memory with Application for Face Recognition. - Alex Santana dos Santos; Marcos Eduardo Valle (BRACIS, 2017)

Mathematical Morphology on the Spherical CIELab Quantale with an Application in Color Image Boundary Detection. - Marcos Eduardo Valle; Raul Ambrozio Valente (J. Math. Imaging Vis., 2017)

Quaternionic Recurrent Correlation Neural Networks. - Marcos Eduardo Valle (IJCNN, 2018)

Color Mathematical Morphology Using a Fuzzy Color-Based Supervised Ordering. - Mateus Sangalli; Marcos Eduardo Valle (NAFIPS, 2018)

Fuzzy Kernel Associative Memories with Application in Classification. - Aline Cristina de Souza; Marcos Eduardo Valle (NAFIPS, 2018)

Max-plus and min-plus projection autoassociative morphological memories and their compositions for pattern classification. - Alex Santana dos Santos; Marcos Eduardo Valle (Neural Networks, 2018)

On the Dynamics of Hopfield Neural Networks on Unit Quaternions. - Marcos Eduardo Valle; Fidelis Zanetti de Castro (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Introduction to Quaternion-Valued Recurrent Projection Neural Networks. - Marcos Eduardo Valle; Rodolfo Anibal Lobo (BRACIS, 2019)

Characterization and Statistics of Distance-Based Elementary Morphological Operators. - Arlyson Alves do Nascimento; Marcos Eduardo Valle (ISMM, 2019)

Approaches to Multivalued Mathematical Morphology Based on Uncertain Reduced Orderings. - Mateus Sangalli; Marcos Eduardo Valle (ISMM, 2019)

Max-C and Min-D Projection Autoassociative Fuzzy Morphological Memories: Theory and Applications for Face Recognition. - Alex Santana dos Santos; Marcos Eduardo Valle (CoRR, 2019)

Ensemble of Binary Classifiers Combined Using Recurrent Correlation Associative Memories. - Rodolfo Anibal Lobo; Marcos Eduardo Valle (BRACIS (2), 2020)

Extreme Learning Machines on Cayley-Dickson Algebra Applied for Color Image Auto-Encoding. - Guilherme Vieira; Marcos Eduardo Valle (IJCNN, 2020)

Linear Dilation-Erosion Perceptron Trained Using a Convex-Concave Procedure. - Angelica Lourenço Oliveira; Marcos Eduardo Valle (SoCPaR, 2020)

A wildfire warning system applied to the state of Acre in the Brazilian Amazon. - I. D. B. Silva; Marcos Eduardo Valle; Laécio C. Barros; João Frederico C. A. Meyer (Appl. Soft Comput., 2020)

Reduced Dilation-Erosion Perceptron for Binary Classification. - Marcos Eduardo Valle (CoRR, 2020)

Linear Dilation-Erosion Perceptron for Binary Classification. - Angelica Lourenço Oliveira; Marcos Eduardo Valle (CoRR, 2020)

A broad class of discrete-time hypercomplex-valued Hopfield neural networks. - Fidelis Zanetti de Castro; Marcos Eduardo Valle (Neural Networks, 2020)

Quaternion-valued recurrent projection neural networks on unit quaternions. - Marcos Eduardo Valle; Rodolfo Anibal Lobo (Theor. Comput. Sci., 2020)

Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis. - Marco Aurélio Granero; Cristhian Xavier Hernández; Marcos Eduardo Valle (BRACIS (2), 2021)

Measuring the Irregularity of Vector-Valued Morphological Operators Using Wasserstein Metric. - Marcos Eduardo Valle; Samuel Francisco; Marco Aurélio Granero; Santiago Velasco-Forero (DGMM, 2021)

A General Framework for Hypercomplex-valued Extreme Learning Machines. - Guilherme Vieira; Marcos Eduardo Valle (CoRR, 2021)

Least-Squares Linear Dilation-Erosion Regressor Trained using Stochastic Descent Gradient or the Difference of Convex Methods. - Angelica Lourenço Oliveira; Marcos Eduardo Valle (CoRR, 2021)

Hypercomplex-valued recurrent correlation neural networks. - Marcos Eduardo Valle; Rodolfo Anibal Lobo (Neurocomputing, 2021)

Least-Squares Linear Dilation-Erosion Regressor Trained Using a Convex-Concave Procedure. - Angelica Lourenço Oliveira; Marcos Eduardo Valle (BRACIS (2), 2022)

Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks. - Wington L. Vital; Guilherme Vieira; Marcos Eduardo Valle (BRACIS (2), 2022)

Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks. - Guilherme Vieira; Marcos Eduardo Valle (IJCNN, 2022)

Irregularity Index for Vector-Valued Morphological Operators. - Marcos Eduardo Valle; Samuel Francisco; Marco Aurélio Granero; Santiago Velasco-Forero (J. Math. Imaging Vis., 2022)

Training Single-Layer Morphological Perceptron Using Convex-Concave Programming. - Iara Cunha; Marcos Eduardo Valle (LA-CCI, 2023)

Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling. - Guilherme Vieira; Eleonora Grassucci; Marcos Eduardo Valle; Danilo Comminiello (MLSP, 2023)

Shortest Length Total Orders Do Not Minimize Irregularity in Vector-Valued Mathematical Morphology. - Samuel Francisco; Marcos Eduardo Valle (CoRR, 2023)

Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks. - Marcos Eduardo Valle (CoRR, 2023)

Vector-Valued Hopfield Neural Networks and Distributed Synapse Based Convolutional and Linear Time-Variant Associative Memories. - Rama Murthy Garimella; Marcos Eduardo Valle; Guilherme Vieira; Anil Rayala; Sai Dileep Munugoti (Neural Process. Lett., 2023)

Universal approximation theorem for vector- and hypercomplex-valued neural networks. - Marcos Eduardo Valle; Wington L. Vital; Guilherme Vieira (Neural Networks, 2024)

Understanding Vector-Valued Neural Networks and Their Relationship With Real and Hypercomplex-Valued Neural Networks: Incorporating intercorrelation between features into neural networks [Hypercomplex Signal and Image Processing]. - Marcos Eduardo Valle (IEEE Signal Process. Mag., 2024)

Dynamics of Structured Complex-Valued Hopfield Neural Networks. - Rama Murthy Garimella; Marcos Eduardo Valle; Guilherme Vieira; Anil Rayala; Sai Dileep Munugoti (CoRR, 2025)

V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network Models. - Guilherme Vieira Neto; Marcos Eduardo Valle (CoRR, 2025)

Novel Complex-Valued Hopfield Neural Networks with Phase and Magnitude Quantization. - Garimella Ramamurthy; Marcos Eduardo Valle; Tata Jagannadha Swamy (CoRR, 2025)