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| | 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). |
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1 - 10 of 11
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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....
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Oct 28 2019 |
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 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...
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Sep 13 2017 |
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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...
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Mar 25 2015 |
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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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Sep 24 2014 |
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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...
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Apr 24 2014 |
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Taxonomy induction based on a collaboratively built knowledge repository
Ponzetto S., Strube M. Artificial Intelligence 175(9-10): 1737-1756, 2011. Type: Article
Ontologies have always interested me. As a natural language processing (NLP) researcher, I have worried about linguistic resources for NLP tasks. Therefore, it was a pleasure to read this paper on a system the authors developed as an e...
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Aug 28 2012 |
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An improved training algorithm for feedforward neural network learning based on terminal attractors
Yu X., Wang B., Batbayar B., Wang L., Man Z. Journal of Global Optimization 51(2): 271-284, 2011. Type: Article
Yu et al. propose a new training algorithm for feed-forward neural networks, and they show that this algorithm is faster and better able to avoid being trapped in local minima, like conventional back-propagation. They also show an appl...
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May 10 2012 |
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Extracting person names from diverse and noisy OCR text
Packer T., Lutes J., Stewart A., Embley D., Ringger E., Seppi K., Jensen L. AND 2010 (Proceedings of the 4th Workshop on Analytics for Noisy Unstructured Text Data, Toronto, ON, Canada, Oct 26, 2010) 19-26, 2010. Type: Proceedings
The authors of this paper provide a satisfying read about name entity recognition (NER) in noisy optical character recognition (OCR) texts. They deliver on their promise of providing answers to many questions that researchers in this a...
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Mar 31 2011 |
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Text-to-speech synthesis
Taylor P., Cambridge University Press, New York, NY, 2009. 626 pp. Type: Book (9780521899277)
In this satisfying book, Taylor joins concepts from three different areas of text-to-speech (TTS) research: electrical engineering, computer science, and linguistics. Anyone who wants to do serious research on TTS synthesis should read...
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Feb 26 2010 |
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Why are wordnets important?
Vincze V., Szarvas G., Csirik J. ECC 2008 (Proceedings of the 2nd European Computing Conference, Malta, Sep 11-13, 2008) 316-322, 2008. Type: Proceedings
This paper calls attention to the importance of wordnets. These lexical databases are very significant for many applications, from word sense disambiguation to machine translation and document retrieval. The authors describe such funct...
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Sep 3 2009 |
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