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Diego Amancio
PeerJ Editor & Reviewer
2,535 Points

Contributions by role

Editor 2,535

Contributions by subject area

Data Science
Network Science and Online Social Networks
Human-Computer Interaction
Computational Linguistics
Natural Language and Speech
Data Mining and Machine Learning
Digital Libraries
Artificial Intelligence
Computer Education
World Wide Web and Web Science
Social Computing
Algorithms and Analysis of Algorithms
Computer Architecture
Bioinformatics

Diego R Amancio

PeerJ Editor & Reviewer

Summary

Diego Raphael Amancio is an Associate Professor at University of São Paulo (Brazil). His research interest includes complex networks, machine learning, data mining, science of science, scientometrics, natural language processing and complex systems.

Artificial Intelligence Computational Linguistics Computational Science Data Mining & Machine Learning Data Science Digital Libraries Natural Language & Speech Network Science & Online Social Networks Programming Languages Scientific Computing & Simulation Social Computing

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Universidade de São Paulo

Work details

Associate Professor

Universidade de São Paulo
August 2014
Computer Science Departament

Websites

  • Google Scholar
  • ResearcherID
  • Homepage

PeerJ Contributions

  • Edited 18

Academic Editor on

July 1, 2022
How Twitter data sampling biases U.S. voter behavior characterizations
Kai-Cheng Yang, Pik-Mai Hui, Filippo Menczer
https://doi.org/10.7717/peerj-cs.1025
March 25, 2022
Predicting Brazilian Court Decisions
André Lage-Freitas, Héctor Allende-Cid, Orivaldo Santana, Lívia Oliveira-Lage
https://doi.org/10.7717/peerj-cs.904
November 15, 2021
Using machine learning analysis to interpret the relationship between music emotion and lyric features
Liang Xu, Zaoyi Sun, Xin Wen, Zhengxi Huang, Chi-ju Chao, Liuchang Xu
https://doi.org/10.7717/peerj-cs.785
September 14, 2020
Text-mining forma mentis networks reconstruct public perception of the STEM gender gap in social media
Massimo Stella
https://doi.org/10.7717/peerj-cs.295
April 13, 2020
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data
Reinel Tabares-Soto, Simon Orozco-Arias, Victor Romero-Cano, Vanesa Segovia Bucheli, José Luis Rodríguez-Sotelo, Cristian Felipe Jiménez-Varón
https://doi.org/10.7717/peerj-cs.270
March 2, 2020
Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth
Massimo Stella, Anna Zaytseva
https://doi.org/10.7717/peerj-cs.255
December 9, 2019
Nearest labelset using double distances for multi-label classification
Hyukjun Gweon, Matthias Schonlau, Stefan H. Steiner
https://doi.org/10.7717/peerj-cs.242
September 16, 2019
A split-and-transfer flow based entropic centrality
Frédérique Oggier, Silivanxay Phetsouvanh, Anwitaman Datta
https://doi.org/10.7717/peerj-cs.220
September 2, 2019
DeepMoney: counterfeit money detection using generative adversarial networks
Toqeer Ali, Salman Jan, Ahmad Alkhodre, Mohammad Nauman, Muhammad Amin, Muhammad Shoaib Siddiqui
https://doi.org/10.7717/peerj-cs.216
August 12, 2019
Automated language essay scoring systems: a literature review
Mohamed Abdellatif Hussein, Hesham Hassan, Mohammad Nassef
https://doi.org/10.7717/peerj-cs.208
June 21, 2019
Predicting the results of evaluation procedures of academics
Francesco Poggi, Paolo Ciancarini, Aldo Gangemi, Andrea Giovanni Nuzzolese, Silvio Peroni, Valentina Presutti
https://doi.org/10.7717/peerj-cs.199
June 10, 2019
Confusion2Vec: towards enriching vector space word representations with representational ambiguities
Prashanth Gurunath Shivakumar, Panayiotis Georgiou
https://doi.org/10.7717/peerj-cs.195
June 10, 2019
Unsupervised online multitask learning of behavioral sentence embeddings
Shao-Yen Tseng, Brian Baucom, Panayiotis Georgiou
https://doi.org/10.7717/peerj-cs.200
May 6, 2019
Aspect extraction on user textual reviews using multi-channel convolutional neural network
Aminu Da’u, Naomie Salim
https://doi.org/10.7717/peerj-cs.191
April 18, 2019
Evaluating named entity recognition tools for extracting social networks from novels
Niels Dekker, Tobias Kuhn, Marieke van Erp
https://doi.org/10.7717/peerj-cs.189
March 4, 2019
A serendipity-biased Deepwalk for collaborators recommendation
Zhenzhen Xu, Yuyuan Yuan, Haoran Wei, Liangtian Wan
https://doi.org/10.7717/peerj-cs.178
March 4, 2019
Skill ranking of researchers via hypergraph
Xiangjie Kong, Lei Liu, Shuo Yu, Andong Yang, Xiaomei Bai, Bo Xu
https://doi.org/10.7717/peerj-cs.182
January 21, 2019
Dual network embedding for representing research interests in the link prediction problem on co-authorship networks
Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov
https://doi.org/10.7717/peerj-cs.172