Talks, Book Chapters and Other Works

Talks.

1. M.E. Valle: Bridging Vector-Valued Mathematical Morphology and Deep Learning, CaLISTA Workshop: Geometry-Informed Machine Learning, 02-05 September 2024. Paris, France. Recorded video available on YouTube!


2. M.E. Valle: Random Vector Functional Link Nets and Extreme Learning Machines, Workshop of the Strategic Partnership for Mathematical Aspects of Complex, Hypercomplex, and Fuzzy Neural Networks, 25-30 September 2023. Krakow, Poland.


3. M.E. Valle:
   • Hypercomplex-valued Neural Networks: Part 1 – Introduction and Basic Concepts.
   • Hypercomplex-valued Neural Networks: Part 2 – Vector-Valued Matrix Computation.
   • Hypercomplex-valued Neural Networks: Part 3 – Approximation Capability of Vector-Valued Neural Networks.
   • Hypercomplex-valued Neural Networks: Part 4 – Vector-Valued Extreme Learning Machines.
   • Hypercomplex-valued Neural Networks: Part 5 – Hypercomplex-Valued Hopfield Neural Networks.
   Workshop of the Strategic Partnership for Mathematical Aspects of Complex, Hypercomplex, and Fuzzy Neural Networks, 06-10 February 2023. Ostrava, Checz Republic.


4. M.E. Valle: O problema da irregularidade na morfologia matemática multivalorada, Cliclo de Palestras em Matemática Aplicada organizado pela SBMAC - Região 04, 2021, 29 de Julho de 2021. Brasil.


5. M.E. Valle: O Método de Inferência de Takagi-Sugeno para Sistemas Baseados em Regras Fuzzy, Palestra ministrada na UNESP, 01 de Abril de 2015. Sorocaba - SP, Brasil.


6. M.E. Valle: Inteligência Computacional e Algumas de suas Aplicações, Palestra ministrada na UNESP, 25 de Outubro de 2013. Rio Claro - SP, Brasil.

Book Chapters.

1. Guilherme Vieira, Marcos E. Valle, and Wilder Lopes : Clifford Convolutional Neural Networks: Concepts, Implementation, and an Application for Lymphoblast Image Classification. In: Advanced Computational Applications of Geometric Algebra. ICACGA 2022. Springer Proceedings in Mathematics and Statistics, Springer, 2024.


2. Marcos E. Valle, Peter Sussner, and Alex S. Santos: Morphological Associative Memories. In: Wiley Encyclopedia of Electrical and Electronics Engineering, John Wiley & Sons, 2018.


3. Marcos E. Valle and Aline C. Souza: Pattern Classification using Generalized Recurrent Exponential Fuzzy Associative Memories. In: Handbook of Fuzzy Sets Comparison: Theory, Algorithms and Applications, Edited by: George A. Papakostas, Anestis G. Hatzimichailidis, and Vassilis G. Kaburlasos. Science Gate Publishing, 2016.


4. P. Sussner and M.E. Valle: Fuzzy Associative Memories and Their Relationship to Mathematical Morphology. In: Handbook of Granular Computing, Edited by: W. Pedrycz, A. Skowron, and V. Kreinovich. John Wiley & Sons, 2008.


5. P. Sussner and M.E. Valle: Morphological Associative Memories for Classification and Prediction. In: Computational Intelligence Based on Lattice Theory, Edited by: V.G. Kaburlasos and G.X. Ritter. Springer-Verlag, 2007.

Technical Reports and Other Works.

1. M.E. Valle: Introdução as Memórias Associativas Lineares, Morfológicas e Fuzzy, Mini-curso oferecido no 2º Colóquio de Matemática da Região Sul (ColMatSul), 24-28 de Abril de 2012. Londrina - PR, Brasil.


2. M.E. Valle (in Portuguese): Fundamentos e Aplicações de Memórias Associativas Morfológicas Nebulosas. Doctorate Thesis on Applied Mathematics, University of Campinas, February, 2007. (click here to see the slides in portuguese).


3. M.E. Valle (in Portuguese): Comparação entre Algoritmos Evolutivos e Algoritmo de Retropropagação para o Treinamento de Redes Neurais MLP e MRL. August, 2006.


4. M.E. Valle (in Portuguese): Estudo Comparativo em Memórias Associativas com Ênfase em Memórias Associativas Morfológicas. Master Dissertation on Applied Mathematics, University of Campinas, August, 2005. (click here to see the slides in portuguese)


5. M.E. Valle and M.A. Pimenta (in Portuguese): Perceptrons Morfológico de Camada Única July, 2005.


6. M.E. Valle and Maria Aparecida Diniz-Ehrhardt (in Portuguese): Análise do Desempenho do Método GMRES Technical Report, 2001.