Dr. Dalcimar Casanova
Adjunct ProfessorFederal University of Tecnology, Brazil
Highest Degree
Ph.D. in Computer Physics from University of Sao Paulo, Brazil
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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:
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.
CrossRef | PubMed | Direct Link | - Backes, A.R., D. Casanova and O.M. Bruno, 2013. Texture analysis and classification: A complex network-based approach. Inf. Sci., 219: 168-180.
CrossRef | Direct Link | - 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.
CrossRef | Direct Link | - 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.
CrossRef | Direct Link | - 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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