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2020 – today
- 2024
[j23]Marcos Eduardo Valle
, Wington L. Vital, Guilherme Vieira:
Universal approximation theorem for vector- and hypercomplex-valued neural networks. Neural Networks 180: 106632 (2024)- [j22]Marcos Eduardo Valle:
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]. IEEE Signal Process. Mag. 41(3): 49-58 (2024) - [i20]Marcos Eduardo Valle, Wington L. Vital, Guilherme Vieira:
Universal Approximation Theorem for Vector- and Hypercomplex-Valued Neural Networks. CoRR abs/2401.02277 (2024) - [i19]Iara Cunha, Marcos Eduardo Valle:
Training Single-Layer Morphological Perceptron Using Convex-Concave Programming. CoRR abs/2401.02296 (2024) - 2023
- [j21]Rama Murthy Garimella, Marcos Eduardo Valle, Guilherme Vieira, Anil Rayala, Sai Dileep Munugoti:
Vector-Valued Hopfield Neural Networks and Distributed Synapse Based Convolutional and Linear Time-Variant Associative Memories. Neural Process. Lett. 55(4): 4163-4182 (2023) - [c37]Iara Cunha, Marcos Eduardo Valle:
Training Single-Layer Morphological Perceptron Using Convex-Concave Programming. LA-CCI 2023: 1-6 - [c36]Guilherme Vieira, Eleonora Grassucci, Marcos Eduardo Valle, Danilo Comminiello:
Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling. MLSP 2023: 1-6 - [i18]Samuel Francisco, Marcos Eduardo Valle:
Shortest Length Total Orders Do Not Minimize Irregularity in Vector-Valued Mathematical Morphology. CoRR abs/2306.17356 (2023) - [i17]Marcos Eduardo Valle:
Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks. CoRR abs/2309.07716 (2023) - [i16]Guilherme Vieira, Eleonora Grassucci, Marcos Eduardo Valle, Danilo Comminiello:
Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling. CoRR abs/2310.07623 (2023) - 2022
- [j20]Marcos Eduardo Valle, Samuel Francisco, Marco Aurélio Granero, Santiago Velasco-Forero:
Irregularity Index for Vector-Valued Morphological Operators. J. Math. Imaging Vis. 64(7): 754-770 (2022) - [c35]Angelica Lourenço Oliveira, Marcos Eduardo Valle:
Least-Squares Linear Dilation-Erosion Regressor Trained Using a Convex-Concave Procedure. BRACIS (2) 2022: 16-29 - [c34]Wington L. Vital, Guilherme Vieira, Marcos Eduardo Valle:
Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks. BRACIS (2) 2022: 646-660 - [c33]Guilherme Vieira, Marcos Eduardo Valle:
Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks. IJCNN 2022: 1-8 - [i15]Guilherme Vieira, Marcos Eduardo Valle:
Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks. CoRR abs/2205.13273 (2022) - [i14]Wington L. Vital, Guilherme Vieira, Marcos Eduardo Valle:
Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks. CoRR abs/2209.02456 (2022) - 2021
- [j19]Marcos Eduardo Valle, Rodolfo Anibal Lobo:
Hypercomplex-valued recurrent correlation neural networks. Neurocomputing 432: 111-123 (2021) - [c32]Marco Aurélio Granero, Cristhian Xavier Hernández, Marcos Eduardo Valle:
Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis. BRACIS (2) 2021: 280-293 - [c31]Marcos Eduardo Valle, Samuel Francisco, Marco Aurélio Granero, Santiago Velasco-Forero:
Measuring the Irregularity of Vector-Valued Morphological Operators Using Wasserstein Metric. DGMM 2021: 512-524 - [i13]Guilherme Vieira, Marcos Eduardo Valle:
A General Framework for Hypercomplex-valued Extreme Learning Machines. CoRR abs/2101.06166 (2021) - [i12]Angelica Lourenço Oliveira, Marcos Eduardo Valle:
Least-Squares Linear Dilation-Erosion Regressor Trained using Stochastic Descent Gradient or the Difference of Convex Methods. CoRR abs/2107.05682 (2021) - [i11]Marcos Eduardo Valle, Fidelis Zanetti de Castro:
On the Dynamics of Hopfield Neural Networks on Unit Quaternions. CoRR abs/2112.06643 (2021) - [i10]Marco Aurélio Granero, Cristhian Xavier Hernández, Marcos Eduardo Valle:
Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis. CoRR abs/2112.06685 (2021) - 2020
- [j18]I. D. B. Silva, Marcos Eduardo Valle, Laécio C. Barros, João Frederico C. A. Meyer:
A wildfire warning system applied to the state of Acre in the Brazilian Amazon. Appl. Soft Comput. 89: 106075 (2020) - [j17]Fidelis Zanetti de Castro, Marcos Eduardo Valle:
A broad class of discrete-time hypercomplex-valued Hopfield neural networks. Neural Networks 122: 54-67 (2020) - [j16]Marcos Eduardo Valle, Rodolfo Anibal Lobo:
Quaternion-valued recurrent projection neural networks on unit quaternions. Theor. Comput. Sci. 843: 136-152 (2020) - [c30]Rodolfo Anibal Lobo, Marcos Eduardo Valle:
Ensemble of Binary Classifiers Combined Using Recurrent Correlation Associative Memories. BRACIS (2) 2020: 442-455 - [c29]Guilherme Vieira, Marcos Eduardo Valle:
Extreme Learning Machines on Cayley-Dickson Algebra Applied for Color Image Auto-Encoding. IJCNN 2020: 1-8 - [c28]Angelica Lourenço Oliveira, Marcos Eduardo Valle:
Linear Dilation-Erosion Perceptron Trained Using a Convex-Concave Procedure. SoCPaR 2020: 245-255 - [i9]Marcos Eduardo Valle, Rodolfo Anibal Lobo:
Quaternion-Valued Recurrent Projection Neural Networks on Unit Quaternions. CoRR abs/2001.11846 (2020) - [i8]Marcos Eduardo Valle, Rodolfo Anibal Lobo:
Hypercomplex-Valued Recurrent Correlation Neural Networks. CoRR abs/2002.00027 (2020) - [i7]Marcos Eduardo Valle:
Reduced Dilation-Erosion Perceptron for Binary Classification. CoRR abs/2003.02306 (2020) - [i6]Rodolfo Anibal Lobo, Marcos Eduardo Valle:
Ensemble of Binary Classifiers Combined Using Recurrent Correlation Associative Memories. CoRR abs/2009.08578 (2020) - [i5]Angelica Lourenço Oliveira, Marcos Eduardo Valle:
Linear Dilation-Erosion Perceptron for Binary Classification. CoRR abs/2011.05989 (2020) - [i4]Angelica Lourenço Oliveira, Marcos Eduardo Valle:
Linear Dilation-Erosion Perceptron Trained Using a Convex-Concave Procedure. CoRR abs/2011.06512 (2020)
2010 – 2019
- 2019
- [c27]Marcos Eduardo Valle, Rodolfo Anibal Lobo:
An Introduction to Quaternion-Valued Recurrent Projection Neural Networks. BRACIS 2019: 848-853 - [c26]Mateus Sangalli, Marcos Eduardo Valle:
Approaches to Multivalued Mathematical Morphology Based on Uncertain Reduced Orderings. ISMM 2019: 228-240 - [c25]Arlyson Alves do Nascimento, Marcos Eduardo Valle:
Characterization and Statistics of Distance-Based Elementary Morphological Operators. ISMM 2019: 362-374 - [i3]Alex Santana dos Santos, Marcos Eduardo Valle:
Max-C and Min-D Projection Autoassociative Fuzzy Morphological Memories: Theory and Applications for Face Recognition. CoRR abs/1902.04144 (2019) - [i2]Fidelis Zanetti de Castro, Marcos Eduardo Valle:
A Broad Class of Discrete-Time Hypercomplex-Valued Hopfield Neural Networks. CoRR abs/1902.05478 (2019) - [i1]Marcos Eduardo Valle, Rodolfo Anibal Lobo:
An Introduction to Quaternion-Valued Recurrent Projection Neural Networks. CoRR abs/1909.09227 (2019) - 2018
- [j15]Alex Santana dos Santos, Marcos Eduardo Valle:
Max-plus and min-plus projection autoassociative morphological memories and their compositions for pattern classification. Neural Networks 100: 84-94 (2018) - [j14]Marcos Eduardo Valle, Fidelis Zanetti de Castro:
On the Dynamics of Hopfield Neural Networks on Unit Quaternions. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2464-2471 (2018) - [c24]Marcos Eduardo Valle:
Quaternionic Recurrent Correlation Neural Networks. IJCNN 2018: 1-8 - [c23]Mateus Sangalli, Marcos Eduardo Valle:
Color Mathematical Morphology Using a Fuzzy Color-Based Supervised Ordering. NAFIPS 2018: 278-289 - [c22]Aline Cristina de Souza, Marcos Eduardo Valle:
Fuzzy Kernel Associative Memories with Application in Classification. NAFIPS 2018: 290-301 - 2017
- [j13]Marcos Eduardo Valle, Raul Ambrozio Valente:
Mathematical Morphology on the Spherical CIELab Quantale with an Application in Color Image Boundary Detection. J. Math. Imaging Vis. 57(2): 183-201 (2017) - [c21]Fidelis Zanetti de Castro, Marcos Eduardo Valle:
Continuous-Valued Quaternionic Hopfield Neural Network for Image Retrieval: A Color Space Study. BRACIS 2017: 186-191 - [c20]Alex Santana dos Santos, Marcos Eduardo Valle:
A Fast and Robust Max-C Projection Fuzzy Autoassociative Memory with Application for Face Recognition. BRACIS 2017: 306-311 - 2016
- [c19]Marcos Eduardo Valle, Fidelis Zanetti de Castro:
Theoretical and computational aspects of quaternionic multivalued Hopfield neural networks. IJCNN 2016: 4418-4425 - 2015
- [c18]Aline Cristina de Souza, Marcos Eduardo Valle, Peter Sussner:
Generalized Recurrent Exponential Fuzzy Associative Memories Based on Similarity Measures. IFSA-EUSFLAT 2015 - [c17]Marcos Eduardo Valle, Raul Ambrozio Valente:
Elementary Morphological Operations on the Spherical CIELab Quantale. ISMM 2015: 375-386 - 2014
- [j12]Marcos Eduardo Valle:
A Robust Subspace Projection Autoassociative Memory Based on the M-Estimation Method. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1372-1377 (2014) - [j11]Marcos Eduardo Valle:
Complex-Valued Recurrent Correlation Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25(9): 1600-1612 (2014) - [c16]Marcos Eduardo Valle:
A Novel Continuous-Valued Quaternionic Hopfield Neural Network. BRACIS 2014: 97-102 - [c15]Marcos Eduardo Valle:
An introduction to the max-plus projection autoassociative morphological memory and some of its variations. FUZZ-IEEE 2014: 53-60 - [c14]Marcos Eduardo Valle:
An introduction to complex-valued recurrent correlation neural networks. IJCNN 2014: 3387-3394 - 2013
- [j10]Marcos Eduardo Valle, Peter Sussner:
Quantale-based autoassociative memories with an application to the storage of color images. Pattern Recognit. Lett. 34(14): 1589-1601 (2013) - 2012
- [j9]Marcos Eduardo Valle, Daniela Maria Grande Vicente:
Sparsely Connected Autoassociative Lattice Memories with an Application for the Reconstruction of Color Images. J. Math. Imaging Vis. 44(3): 195-222 (2012) - [c13]Marcos Eduardo Valle, Peter Sussner, Estevão Laureano Esmi:
Spherical CIELab QAMs: Associative Memories Based on the CIELab System and Quantales for the Storage of Color Images. HAIS (2) 2012: 467-478 - [c12]Estevão Laureano Esmi, Peter Sussner, Marcos Eduardo Valle, Fábio Sakuray, Laécio C. Barros:
Fuzzy Associative Memories Based on Subsethood and Similarity Measures with Applications to Speaker Identification. HAIS (2) 2012: 479-490 - [c11]Peter Sussner, Marcos Eduardo Valle:
A Semilattice Approach towards Sparsely Connected Associative Memories. KES 2012: 2180-2190 - 2011
- [j8]Marcos Eduardo Valle, Peter Sussner:
Storage and recall capabilities of fuzzy morphological associative memories with adjunction-based learning. Neural Networks 24(1): 75-90 (2011) - [c10]Marcos Eduardo Valle, Daniela Maria Grande Vicente:
Some experimental results on sparsely connected autoassociative morphological memories for the reconstruction of color images corrupted by either impulsive or Gaussian noise. IJCNN 2011: 275-282 - 2010
- [j7]Marcos Eduardo Valle:
Sparsely connected autoassociative fuzzy implicative memories and their application for the reconstruction of large gray-scale images. Neurocomputing 74(1-3): 343-353 (2010) - [j6]Marcos Eduardo Valle:
Permutation-based finite implicative fuzzy associative memories. Inf. Sci. 180(21): 4136-4152 (2010) - [c9]Marcos Eduardo Valle:
A New Class of Implicative Fuzzy Associative Memories for the Reconstruction of Gray-Scale Images Corrupted by Salt and Pepper Noise. SBRN 2010: 200-205
2000 – 2009
- 2009
- [j5]Marcos Eduardo Valle:
A Class of Sparsely Connected Autoassociative Morphological Memories for Large Color Images. IEEE Trans. Neural Networks 20(6): 1045-1050 (2009) - [c8]Marcos Eduardo Valle:
Sparsely Connected Autoassociative Fuzzy Implicative Memories for the Reconstruction of Large Gray-Scale Images. IFSA/EUSFLAT Conf. 2009: 247-252 - [c7]Peter Sussner, Rodolfo Miyasaki, Marcos Eduardo Valle:
An Introduction to Parameterized IFAM Models with Applications in Prediction. IFSA/EUSFLAT Conf. 2009: 1757-1762 - 2008
- [j4]Marcos Eduardo Valle, Peter Sussner:
A general framework for fuzzy morphological associative memories. Fuzzy Sets Syst. 159(7): 747-768 (2008) - [j3]Peter Sussner, Marcos Eduardo Valle:
Classification of Fuzzy Mathematical Morphologies Based on Concepts of Inclusion Measure and Duality. J. Math. Imaging Vis. 32(2): 139-159 (2008) - [c6]Marcos Eduardo Valle, Peter Sussner:
Fuzzy morphological associative memories based on uninorms. FUZZ-IEEE 2008: 1582-1589 - 2007
- [c5]Marcos Eduardo Valle, Peter Sussner:
Fuzzy Associative Memories from the Perspective of Mathematical Morphology. FUZZ-IEEE 2007: 1-6 - [c4]Marcos Eduardo Valle, Peter Sussner:
Associative memories based on fuzzy mathematical morphology and an application in prediction. ISMM (2) 2007: 7-8 - [p1]Peter Sussner, Marcos Eduardo Valle:
Morphological and Certain Fuzzy Morphological Associative Memories for Classification and Prediction. Computational Intelligence Based on Lattice Theory 2007: 149-171 - 2006
- [j2]Peter Sussner, Marcos Eduardo Valle:
Implicative Fuzzy Associative Memories. IEEE Trans. Fuzzy Syst. 14(6): 793-807 (2006) - [j1]Peter Sussner, Marcos Eduardo Valle:
Gray-scale morphological associative memories. IEEE Trans. Neural Networks 17(3): 559-570 (2006) - [c3]Peter Sussner, Marcos Eduardo Valle:
Recall of Patterns Using Morphological and Certain Fuzzy Morphological Associative Memories with Applications in Classification and Prediction. FUZZ-IEEE 2006: 209-216 - 2005
- [c2]Peter Sussner, Marcos Eduardo Valle:
A Brief Account of the Relations between Gray-Scale Mathematical Morphologies. SIBGRAPI 2005: 79-86 - 2004
- [c1]Marcos Eduardo Valle, Peter Sussner, Fernando Gomide:
Introduction to implicative fuzzy associative memories. IJCNN 2004: 925-930
Coauthor Index
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