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Nelson Maculan

Showing results (1-10 of 4) with videos related to

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BMC Bioinformatics|August 2, 2013
Solving the molecular distance geometry problem with inaccurate distance dataMichael Souza, Carlile Lavor, Albert Muritiba, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 20, 2003
Microcanonical optimization algorithm for the Euclidean Steiner problem in Rn with application to phylogenetic inferenceFlávio Montenegro, José R A Torreão, Nelson Maculan
Diagnostics (Basel, Switzerland)|January 10, 2026
Challenges in the Classification of Cardiac Arrhythmias and Ischemia Using End-to-End Deep Learning and the Electrocardiogram: A Systematic ReviewEdgard Oporto, David Mauricio, Nelson Maculan, et al.
Journal of Clinical Medicine|November 27, 2024
Maximizing Survival in Pediatric Congenital Cardiac Surgery Using Machine Learning, Explainability, and Simulation TechniquesDavid Mauricio, Jorge Cárdenas-Grandez, Giuliana Vanessa Uribe Godoy, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|August 2, 2013
Solving the molecular distance geometry problem with inaccurate distance dataMichael Souza, Carlile Lavor, Albert Muritiba, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 20, 2003
Microcanonical optimization algorithm for the Euclidean Steiner problem in Rn with application to phylogenetic inferenceFlávio Montenegro, José R A Torreão, Nelson Maculan
Diagnostics (Basel, Switzerland)|January 10, 2026
Challenges in the Classification of Cardiac Arrhythmias and Ischemia Using End-to-End Deep Learning and the Electrocardiogram: A Systematic ReviewEdgard Oporto, David Mauricio, Nelson Maculan, et al.
Journal of Clinical Medicine|November 27, 2024
Maximizing Survival in Pediatric Congenital Cardiac Surgery Using Machine Learning, Explainability, and Simulation TechniquesDavid Mauricio, Jorge Cárdenas-Grandez, Giuliana Vanessa Uribe Godoy, et al.
Pageof 1