Biography

Dr. Dalcimar Casanova is currently working as Adjunct Professor at Federal University of Technology, Brazil. He has completed his Ph.D. in Computer Physics from University of Sao Paulo, Brazil. His main area of interest focuses on Plant and Soil Sciences, Physical Science Engineering, Social Sciences, Computer Sciences, and Environmental Sciences. His area of expertise includes Computer Vision, Plant Taxonomy, Plant Analysis, Fractals, Machine Learning, Image Processing, Expert Systems, Complex Networks, and Leaves Biometry. He has published 14 research articles in journals, 3 articles in newspapers, 12 conference proceeding contributed as author/co-author.

Area of Interest:

Computer Sciences

100%

Computer Vision

62%

Image Processing

90%

Complex Networks

75%

Machine Learning

55%

Research Publications in Numbers

Books
0

Chapters
0

Articles
0

Abstracts
0

Selected Publications

Amancio, D.R., C.H. Comin, D. Casanova, G. Travieso, O.M. Bruno, F.A. Rodrigues and L.D.F. Costa, 2014. A systematic comparison of supervised classifiers. Plos One, Vol. 9. 10.1371/journal.pone.0094137.
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Backes, A.R., D. Casanova and O.M. Bruno, 2013. Texture analysis and classification: A complex network-based approach. Inf. Sci., 219: 168-180.
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Backes, A.R., D. Casanova and O.M. Bruno, 2012. Color texture analysis based on fractal descriptors. Pattern Recognit., 45: 1984-1992.
CrossRef | Direct Link |
Casanova, D., J.J.M.S. Junior and O.M. Bruno, 2009. Plant leaf identification using gabor wavelets. Int. J. Imaging Syst. Technol., 19: 236-243.
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Backes, A.R., D. Casanova and O.M. Bruno, 2009. Plant leaf identification based on volumetric fractal dimension. Int. J. Pattern Recognit. Artif. Intell., 23: 1145-1160.
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Backes, A.R., D. Casanova and O.M. Bruno, 2009. A complex network-based approach for boundary shape analysis. Pattern Recognit., 42: 54-67.
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