Henrique Ferraz de Arruda

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Luciano da F. CostaIFSC-USPVerified email at if.sc.usp.br
Diego Raphael AmancioAssociate Professor, Universidade de São Paulo, BrazilVerified email at icmc.usp.br
Filipi Nascimento SilvaResearch Scientist at Indiana University Network Science InstituteVerified email at iu.edu
César henrique CominDepartment of Computer Science, Federal University of São CarlosVerified email at dc.ufscar.br
Alexandre BenattiUniversidade de São Paulo - USPVerified email at usp.br
Vanessa Queiroz MarinhoUniversity of São PauloVerified email at usp.br
Felipe GewersUniversity of São PauloVerified email at usp.br
Antonio Carlos SementilleProfessor Adjunto do Departamento de Computação, Universidade Estadual Paulista "Júlio de Mesquita Filho"Verified email at fc.unesp.br
Mauro MiazakiUniversidade Estadual do Centro-Oeste (UNICENTRO)Verified email at unicentro.br
Matheus Palhares VianaAllen Institute for Cell ScienceVerified email at alleninstitute.org
Alex F. de AraujoProfessor at Instituto Federal de Mato Grosso do Sul / Três LagoasVerified email at ifms.edu.br
João Manuel R. S. TavaresFaculdade de Engenharia da Universidade do PortoVerified email at fe.up.pt
Carlos GuloCiência da Computação - Alto Araguaia/Rondonópolis - UNEMATVerified email at unemat.br
Yamir MorenoInstitute for Biocomputation and Physics of Complex Systems, University of Zaragoza, Zaragoza, SpainVerified email at unizar.es
Caroline CeribeliUniversidade de São PauloVerified email at usp.br
Guilherme Ferraz de ArrudaCentaiVerified email at centai.eu
Felipe Maciel CardosoUniversidad de ZaragozaVerified email at celes.unizar.es
Alexis R. HernándezInstitute of Physics, Rio de Janeiro Federal UniversityVerified email at if.ufrj.br
Eric K. TokudaUniversity of Oxford, University of Sao PauloVerified email at nyu.edu
Roberto M Cesar-JrUniversity of São Paulo - USP - BrazilVerified email at ime.usp.br

Henrique Ferraz de Arruda

CENTAI Institute

Verified email at centai.eu - Homepage

Network Science Machine Learning Data Mining


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Principal component analysis: A natural approach to data exploration FL Gewers, GR Ferreira, H F de Arruda, FN Silva, CH Comin, ... ACM Computing Surveys (CSUR) 54 (4), 1-34, 2021	96*	2021
Knowledge Acquisition: A Complex Networks Approach HF de Arruda, FN Silva, LF Costa, DR Amancio Information Sciences 421, 154-166, 2017	78*	2017
Using complex networks for text classification: Discriminating informative and imaginative documents HF de Arruda, LF Costa, DR Amancio Europhysics Letters 113 (2), 28007, 2016	60	2016
A framework for analyzing the relationship between gene expression and morphological, topological, and dynamical patterns in neuronal networks HF Arruda, CH Comin, M Miazaki, MP Viana, LF Costa Journal of Neuroscience Methods 245, 1-14, 2015	44	2015
Paragraph-based representation of texts: A complex networks approach HF de Arruda, VQ Marinho, LF Costa, DR Amancio Information Processing & Management 56 (3), 479-494, 2019	38	2019
Representation of texts as complex networks: a mesoscopic approach H Ferraz de Arruda, F Nascimento Silva, V Queiroz Marinho, ... Journal of Complex Networks, 2018	37	2018
Topic segmentation via community detection in complex networks HF de Arruda, LF Costa, DR Amancio Chaos: An Interdisciplinary Journal of Nonlinear Science 26 (6), 063120, 2016	32	2016
Efficient parallelization on GPU of an image smoothing method based on a variational model CASJ Gulo, HF de Arruda, AF de Araujo, AC Sementille, JMRS Tavares Journal of Real-Time Image Processing, 1-13, 2019	20	2019
Connecting Network Science and Information Theory HF de Arruda, FN Silva, CH Comin, DR Amancio, LF Costa Physica A: Statistical Mechanics and its Applications 515, 641-648, 2019	15	2019
Learning Deep Learning HF Arruda, A Benatti, CH Comin, LF Costa Revista Brasileira de Ensino de Física 44, 2022	14*	2022
The Dynamics of Knowledge Acquisition via Self-Learning in Complex Networks TS Lima, HF de Arruda, FN Silva, CH Comin, DR Amancio, LF Costa Chaos: An Interdisciplinary Journal of Nonlinear Science, 083106, 2018	14	2018
Modelling how social network algorithms can influence opinion polarization HF de Arruda, FM Cardoso, GF de Arruda, AR Hernández, L da F Costa, ... Information Sciences 588, 265-278, 2022	13	2022
Opinion diversity and social bubbles in adaptive Sznajd networks A Benatti, HF de Arruda, FN Silva, CH Comin, L da Fontoura Costa Journal of Statistical Mechanics: Theory and Experiment 2020 (2), 023407, 2020	12	2020
Minimal paths between communities induced by geographical networks HF de Arruda, CH Comin, L da Fontoura Costa Journal of Statistical Mechanics: Theory and Experiment 2016 (2), 023403, 2016	10	2016
How coupled are capillary electrophoresis and mass spectrometry? C Ceribeli, HF de Arruda, L da Fontoura Costa Scientometrics 126, 3841-3851, 2021	8*	2021
An image analysis approach to text analytics based on complex networks HF de Arruda, VQ Marinho, TS Lima, DR Amancio, LF Costa Physica A: Statistical Mechanics and its Applications, 2018	8	2018
How Integrated are Theoretical and Applied Physics? HF de Arruda, CH Comin, LF Costa Scientometrics 116 (2), 1113–1121, 2018	7	2018
On the "Calligraphy" of Books VQ Marinho, HF de Arruda, TS Lima, LF Costa, DR Amancio Proceedings of TextGraphs-11: the Workshop on Graph-based Methods for …, 2017	7	2017
Neuromorphic networks as revealed by features similarity A Benatti, HF de Arruda, LF Costa arXiv preprint arXiv:2207.10571, 2022	5	2022
Spatial distribution of graffiti types: a complex network approach EK Tokuda, HF de Arruda, CH Comin, RM Cesar Jr, CT Silva, ... The European Physical Journal B 94, 1-8, 2021	4	2021

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