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Gustavo Henrique de Rosa

CV Lattes GoogleMyCitations ORCID

Universidade Estadual Paulista (UNESP). Campus de Bauru. Faculdade de Ciências (FC)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

Initially, Gustavo has pursued his undergraduate diploma not knowing which was the right path. Bachelor in Computer Science at Universidade Estadual Paulista Júlio de Mesquita Filho, FC/Bauru (2016), he could grasp some good signs by taking part into a research laboratory and being a Scientific Initiation FAPESP's scholarship holder, also having done a BEPE internship at Harvard University.

And so it seemed, definitely, that Artificial Intelligence trends appeared to be the righteous path. Image processing formulations, pattern recognition, pattern classification, machine learning algorithms, meta-heuristic optimization, all of these trends encouraged him to invest in his academic career and achieve a Master of Science in Computer Science at Universidade Estadual Paulista Júlio de Mesquita Filho, IBILCE/Rio Preto (2018). Fostering even more on machine learning algorithms, research on artificial neural networks and deep learning areas were made conceivable due to a former Master of Science FAPESP's scholarship holder. Also, FAPESP’s funding made it possible to participate in a BEPE internship at the University of Virginia.

Finally, to accomplish his new goal, as a Ph.D. student and a Doctorate FAPESP's scholarship holder, he is attempted to explore profoundly new trends and more advanced cognition mechanisms. Natural language processing and adversarial learnings are his latest interest and future expertise. (Source: Lattes Curriculum)

Scholarships in Brazil
Scholarships abroad
FAPESP support in numbers * Updated October 31, 2020
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Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (9)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

Data from Web of Science

AMORIM, WILLIAN PARAGUASSU; ROSA, GUSTAVO HENRIQUE; THOMAZELLA, ROGERIO; COGO CASTANHO, JOSE EDUARDO; LOFRANO DOTTO, FABIO ROMANO; RODRIGUES JUNIOR, OSWALDO PONS; MARANA, APARECIDO NILCEU; PAPA, JOAO PAULO. Semi-supervised learning with connectivity-driven convolutional neural networks. PATTERN RECOGNITION LETTERS, v. 128, p. 16-22, . Web of Science Citations: 0. (14/12236-1, 13/07375-0, 15/25739-4, 16/19403-6)

PASSOS, LEANDRO A.; DE SOUZA, JR., LUIS A.; MENDEL, ROBERT; EBIGBO, ALANNA; PROBST, ANDREAS; MESSMANN, HELMUT; PALM, CHRISTOPH; PAPA, JOAO PAULO. Barrett's esophagus analysis using infinity Restricted Boltzmann Machines. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 59, p. 475-485, . Web of Science Citations: 0. (14/16250-9, 14/12236-1, 13/07375-0, 15/25739-4, 16/21243-7)

PAPA, JOAO PAULO; ROSA, GUSTAVO HENRIQUE; PAPA, LUCIENE PATRICI. A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes. PATTERN RECOGNITION LETTERS, v. 100, p. 59-66, . Web of Science Citations: 3. (14/16250-9, 15/25739-4, 13/07375-0, 16/19403-6, 14/12236-1, 10/15566-1)

DE ROSA, GUSTAVO H.; BREGA, JOSE R. F.; PAPA, JOAO P.. How optimizing perplexity can affect the dimensionality reduction on word embeddings visualization?. SN APPLIED SCIENCES, v. 1, n. 12, . Web of Science Citations: 0. (19/02205-5)

DE ROSA, GUSTAVO H.; PAPA, JOAO P.; YANG, XIN-S. Handling dropout probability estimation in convolution neural networks using meta-heuristics. SOFT COMPUTING, v. 22, n. 18, SI, p. 6147-6156, . Web of Science Citations: 0. (14/12236-1, 14/16250-9, 15/25739-4)

AMORIM, WILLIAN PARAGUASSU; TETILA, EVERTON CASTELAO; PISTORI, HEMERSON; PAPA, JOAO PAULO. Semi-supervised learning with convolutional neural networks for UAV images automatic recognition. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 164, . Web of Science Citations: 0. (14/12236-1, 13/07375-0, 15/25739-4, 16/19403-6)

PAPA, JOAO PAULO; ROSA, GUSTAVO H.; PEREIRA, DANILLO R.; YANG, XIN-SHE. Quaternion-based Deep Belief Networks fine-tuning. APPLIED SOFT COMPUTING, v. 60, p. 328-335, . Web of Science Citations: 6. (14/12236-1, 14/16250-9, 15/25739-4)

DE ROSA, GUSTAVO H.; PAPA, JOAO P.; YANG, XIN-SHE. A nature-inspired feature selection approach based on hypercomplex information. APPLIED SOFT COMPUTING, v. 94, . Web of Science Citations: 0. (13/07375-0, 16/19403-6, 14/12236-1, 17/25908-6, 17/02286-0, 19/02205-5)

PEREIRA, CLAYTON R.; PEREIRA, DANILO R.; ROSA, GUSTAVO H.; ALBUQUERQUE, VICTOR H. C.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; PAPA, JOAO P.. Handwritten dynamics dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification. ARTIFICIAL INTELLIGENCE IN MEDICINE, v. 87, p. 67-77, . Web of Science Citations: 15. (14/16250-9, 15/25739-4, 13/07375-0, 16/19403-6, 14/12236-1, 10/15566-1)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

ROSA, Gustavo Henrique de. Otimização Meta-Heurística para Regularização de Modelos de Aprendizado em Profundidade.  90 f. Dissertação (Mestrado) -  Universidade Estadual Paulista "Júlio de Mesquita Filho" Instituto de Biociências, Letras e Ciências Exatas.  (15/25739-4

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