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Joao Luis Garcia Rosa
Universidade de Sao Paulo
Sao Carlos, Brazil
 

João Luís Garcia Rosa is a professor in the department of computer science at the University of São Paulo (USP) at São Carlos in Brazil. His teaching and research involves artificial neural networks, biologically plausible connectionist models, natural language processing, semantic processing, artificial intelligence, programming languages, and theory of computation. He supervises master’s and doctoral students in the areas of natural language processing and biologically plausible artificial neural networks. He has written several peer-reviewed publications in these areas, and is a reviewer for a number of conferences and periodicals.

Prior to his academic career, Rosa worked for seven years in telecommunications (his undergraduate education is in electrical engineering—electronics and automation).

Rosa has written textbooks on formal languages and automata (2010) and on the fundamentals of artificial intelligence (2011). He is also a member of the Institute of Electrical and Electronics Engineers (IEEE), the Computational Intelligence Society of the IEEE (CIS-IEEE), the Association of Computing Machinery (ACM), and the Brazilian Computer Society (SBC).


     

Demystifying the brain: a computational approach
Chakravarthy V., Springer International Publishing, New York, NY, 2019. 378 pp.  Type: Book

This very good book on basic neuroscience presents interesting concepts. It is a complete analysis in every way....

 

Cognitive (Internet of) Things: collaboration to optimize action
Sathi A., Palgrave Macmillan, New York, NY, 2016. 178 pp.  Type: Book (978-1-137594-65-5)

Cognitive (Internet of) Things brings us a comprehensive view of the field, despite its small size (less than 180 pages). The book is well organized, with topics ranging from the basics of the subject to cognitive devices that f...

 

Growing adaptive machines: combining development and learning in artificial neural networks
Kowaliw T., Bredeche N., Doursat R., Springer Publishing Company, Incorporated, New York, NY, 2014. 261 pp.  Type: Book (978-3-642553-36-3)

Since I first began researching neural networks 25 years ago, I have been wondering how to make them biologically more plausible. Thus, I am pleased that this book considers the importance of biological plausibility in artificial neura...

 

Weighted graph comparison techniques for brain connectivity analysis
Alper B., Bach B., Henry Riche N., Isenberg T., Fekete J.  CHI 2013 (Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Paris, France, Apr 27-May 2, 2013) 483-492, 2013.  Type: Proceedings

The authors present some techniques for graph connectivity visualization and propose investigating two of them: overlaying two graphs in node-link and matrix visualizations. They argue that they are the most relevant to the tasks perfo...

 

Brain-computer interfacing: an introduction
Rao R., Cambridge University Press, New York, NY, 2013. 352 pp.  Type: Book (978-0-521769-41-9), Reviews: (2 of 2)

What is necessary to build an interface between a human brain and a machine? Knowledge from several areas of expertise (neuroscience, signal processing, and machine learning) put together: a recipe for a brain-computer interface (BCI)....

 
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