Wagner Meira is affiliated with the Universidade Federal de Minas Gerais in Brazil and has contributed to research primarily in the fields of computer science and medicine. Their work spans several subfields, including artificial intelligence, cardiology and cardiovascular medicine, information systems, molecular biology, and sociology and political science.
Their research covers a variety of topics, such as ECG monitoring and analysis, social media and politics, machine learning in healthcare, phonocardiography and auscultation techniques, topic modeling, misinformation and its impacts, and complex network analysis techniques.
Meira's recent publications include:
Frequent co-authors in Meira's publications include:
Their work has been published in various venues, including:
Wagner Meira has authored a book titled Data Mining and Machine Learning, published by Cambridge University Press in 2020.
Mohammed J. Zaki;Wagner Meira
Antônio H. Ribeiro;Antônio H. Ribeiro;Manoel Horta Ribeiro;Gabriella M.M. Paixão;Derick M. Oliveira
Eveline Veloso;Virgílio Almeida;Wagner Meira;Azer Bestavros
Manoel Horta Ribeiro;Raphael Ottoni;Robert West;Virgílio A. F. Almeida
Taliver Heath;Bruno Diniz;Enrique V. Carrera;Wagner Meira
Mehdi Kaytoue;Arlei Silva;Loïc Cerf;Wagner Meira
Janaína Gomide;Adriano Veloso;Wagner Meira;Virgílio Almeida
A. Malhotra;L. Totti;W. Meira;P. Kumaraguru
Manoel Horta Ribeiro;Pedro H. Calais;Yuri A. Santos;Virgílio A. F. Almeida
Adriano Veloso;Wagner;Mohammed Zaki
Pedro Henrique Calais Guerra;Wagner Meira;Claire Cardie;Robert Kleinberg
Luiz Henrique Gomes;Cristiano Cazita;Jussara M. Almeida;Virgílio Almeida
Patricia Correia Saraiva;Edleno Silva de Moura;Nivio Ziviani;Wagner Meira
Emilly M. Lima;Antônio H. Ribeiro;Antônio H. Ribeiro;Gabriela M. M. Paixão;Manoel Horta Ribeiro
Daniel Menascé;Virgílio Almeida;Rudolf Riedi;Flávia Ribeiro
Pedro Henrique Calais Guerra;Adriano Veloso;Wagner Meira;Virgílio Almeida
Bruno Diniz;Dorgival Guedes;Wagner Meira;Ricardo Bianchini
Artur Marzano;David Alexander;Osvaldo Fonseca;Elverton Fazzion
Fábio Figueiredo;Leonardo Rocha;Thierson Couto;Thiago Salles
Hélio Almeida;Dorgival Guedes;Wagner Meira;Mohammed J. Zaki
Mohammed J. Zaki;Wagner Meira
If you think any of the details on this page are incorrect, let us know.
Expanding your journey beyond computer science opens up diverse and lucrative opportunities. For example, pursuing electrical engineering is a popular option for tech-focused students. If you want flexibility and credibility, consider enrolling in one of the top online electrical engineering schools in the USA. These programs emphasize both theory and hands-on experience, suitable for remote learners.
Many students also look for stepping stones into tech careers through certifications for jobs that don’t require years of study. Fast certifications can boost your resume, qualify you for entry-level roles, and let you earn while you learn.
If you already hold a bachelor’s degree and want to advance quickly, consider the quickest masters degree online options. These accelerated programs help you complete advanced coursework in less time, giving you a competitive advantage in the job market.
Finally, staying current with industry trends is crucial. Pursuing one of the most in demand masters degrees ensures your skills remain relevant and marketable. Explore your options to discover the best online pathway for your goals.
University of Florida
Institute of Genetics and Molecular and Cellular Biology
University of Colorado Boulder
University of Southern California
National Institute for Astrophysics
University of Minnesota
University of Miami
Hong Kong University of Science and Technology
University of Arizona
Spanish National Research Council
Icahn School of Medicine at Mount Sinai
Autonomous University of Barcelona
Southeast University
Tottori University
Maastricht University
Johns Hopkins University
