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
Cesar Henrique CominDepartment of Computer Science, Federal University of São CarlosVerified email at 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
Yamir MorenoInstitute BIFI, Universidad de Zaragoza, Zaragoza, SpainVerified email at unizar.es
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
Caroline CeribeliUniversidade de São PauloVerified email at usp.br
Alberto AletaUniversity of ZaragozaVerified email at unizar.es
Guilherme Ferraz de ArrudaCENTAI InstituteVerified 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
Sandro M. ReiaPostdoctoral Researcher - George Mason UniversityVerified email at gmu.edu

Henrique Ferraz de Arruda

CENTAI Institute

Verified email at centai.eu - Homepage

Network Science Machine Learning Data Mining NLP Agent-Based Modeling


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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	201	2021
Knowledge Acquisition: A Complex Networks Approach HF de Arruda, FN Silva, LF Costa, DR Amancio Information Sciences 421, 154-166, 2017	80	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	77	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	48	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	45	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	45	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), 2016	43	2016
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	34	2022
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	21	2019
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	21	2018
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	20	2019
Learning deep learning HF Arruda, A Benatti, CH Comin, LF Costa Revista Brasileira de Ensino de Física 44, e20220101, 2022	19*	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	14	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	12	2016
Neuromorphic networks as revealed by features similarity A Benatti, HF de Arruda, LF Costa arXiv preprint arXiv:2207.10571, 2022	11	2022
How coupled are capillary electrophoresis and mass spectrometry? C Ceribeli, HF de Arruda, L da Fontoura Costa Scientometrics 126, 3841-3851, 2021	10	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	9	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	9	2017
Food composition databases in the era of Big Data: Vegetable oils as a case study HF de Arruda, A Aleta, Y Moreno Frontiers in Nutrition 9, 2023	8	2023
Complex Networks Accessibility and Symmetry A Benatti, FN Silva, HF de Arruda, L da Fontoura Costa	7	2022

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