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Francis C. Motta

Researcher at Florida Atlantic University

Publications -  40
Citations -  696

Francis C. Motta is an academic researcher from Florida Atlantic University. The author has contributed to research in topics: Topological data analysis & Computer science. The author has an hindex of 9, co-authored 32 publications receiving 463 citations. Previous affiliations of Francis C. Motta include Duke University & Colorado State University.

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Journal Article

Persistence images: a stable vector representation of persistent homology

TL;DR: In this article, a persistence diagram (PD) is converted to a finite-dimensional vector representation which is called a persistence image (PI) and proved the stability of this transformation with respect to small perturbations in the inputs.
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Persistence Images: A Stable Vector Representation of Persistent Homology

TL;DR: This work converts a PD to a finite-dimensional vector representation which it is called a persistence image, and proves the stability of this transformation with respect to small perturbations in the inputs.
Journal ArticleDOI

An intrinsic oscillator drives the blood stage cycle of the malaria parasite Plasmodium falciparum.

TL;DR: It is demonstrated that parasites have low cell-to-cell variance in cycle period, on par with a circadian oscillator, and concluded that an intrinsic oscillator maintains Plasmodium’s rhythmic life cycle.
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Highly ordered nanoscale surface ripples produced by ion bombardment of binary compounds

TL;DR: In this paper, the authors proposed a theory that remarkably defect-free ripples can be produced by ion bombardment of a binary material if the ion species, energy and angle of incidence are appropriately chosen.
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Persistence Images: An Alternative Persistent Homology Representation.

TL;DR: It is shown that several machine learning techniques, applied to persistence images for classification tasks, yield high accuracy rates on multiple data sets and these sameMachine learning techniques fare better when applied to persistency images than when applied when it comes to persistence diagrams.