2022 - Research.com Computer Science in Brazil Leader Award
His primary areas of investigation include Complex network, Artificial intelligence, Data science, Theoretical computer science and Shape analysis. Luciano da Fontoura Costa combines Complex network and Set in his studies. His Artificial intelligence research incorporates themes from Focus, Pattern recognition, Computer vision and Natural language processing.
His Data science research incorporates elements of Citation, Computational biology, Systems biology, Text mining and Network science. His work deals with themes such as Dynamical systems theory, Club, Tree structure and Calculus, which intersect with Theoretical computer science. His work carried out in the field of Shape analysis brings together such families of science as Interactive Learning, Image capture and Information retrieval.
His primary areas of study are Complex network, Artificial intelligence, Theoretical computer science, Topology and Node. The Complex network study combines topics in areas such as Identification, Network model, Degree, Network topology and Random walk. The study incorporates disciplines such as Natural language processing, Computer vision and Pattern recognition in addition to Artificial intelligence.
Luciano da Fontoura Costa specializes in Pattern recognition, namely Principal component analysis. Theoretical computer science is closely attributed to Betweenness centrality in his study. His Degree distribution research extends to the thematically linked field of Topology.
Luciano da Fontoura Costa focuses on Complex network, Artificial intelligence, Identification, Topology and Network science. Luciano da Fontoura Costa integrates Complex network with Set in his research. His Artificial intelligence research integrates issues from Natural language processing, Machine learning and Pattern recognition.
His Natural language processing research focuses on Narrative and how it relates to Representation. His Topology study combines topics from a wide range of disciplines, such as Assortativity and Clustering coefficient. His Network science study combines topics in areas such as Graph, Theoretical computer science, Harmony and Data science.
His primary scientific interests are in Complex network, Artificial intelligence, Network science, Network model and Set. His research in Complex network intersects with topics in Identification, Similarity, Complex system, Knowledge organization and Topology. His studies deal with areas such as Machine learning and Pattern recognition as well as Artificial intelligence.
His Network science research includes themes of Centrality, Objective approach, Applied physics, Citation network and Dynamic network analysis. His study in Network model is interdisciplinary in nature, drawing from both Context, Natural language processing, Structure, Scale and Knowledge acquisition. His Data science research is multidisciplinary, incorporating elements of Betweenness centrality, Interconnection and Data mining.
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Characterization of complex networks: A survey of measurements
Luciano da F. Costa;Francisco A. Rodrigues;Gonzalo Travieso;P. R. Villas Boas.
arXiv: Disordered Systems and Neural Networks (2005)
Shape Analysis and Classification: Theory and Practice
Luciano da Fontoura Da Costa;Roberto Marcondes Cesar.
Shape Classification and Analysis: Theory and Practice
Luciano da Fontoura Costa;Roberto Marcondes Cesar.
Analyzing and modeling real-world phenomena with complex networks: a survey of applications
Luciano da Fontoura Costa;Osvaldo N. Oliveira Jr.;Gonzalo Travieso;Francisco Aparecido Rodrigues.
Advances in Physics (2011)
2D Euclidean distance transform algorithms: A comparative survey
Ricardo Fabbri;Luciano Da F. Costa;Julio C. Torelli;Odemir M. Bruno.
ACM Computing Surveys (2008)
Mechanosensing is critical for axon growth in the developing brain
David E Koser;Amelia J Thompson;Sarah K Foster;Asha Dwivedy.
Nature Neuroscience (2016)
Molecular determinants of caste differentiation in the highly eusocial honeybee Apis mellifera
Angel R Barchuk;Angel R Barchuk;Alexandre S Cristino;Robert Kucharski;Luciano F Costa.
BMC Developmental Biology (2007)
Automatic estimation of crowd density using texture
A.N. Marana;S.A. Velastin;L.F. Costa;R.A. Lotufo.
Safety Science (1998)
Estimation of crowd density using image processing
A N Marana;S A Velastin;L F Costa;R A Lotufo.
Image Processing for Security Applications (Digest No.: 1997/074), IEE Colloquium on (1997)
A texture approach to leukocyte recognition
Daniela Mayumi Ushizima Sabino;Luciano da Fontoura Costa;Edgar Gil Rizzatti;Marco Antonio Zago.
Real-time Imaging (2004)
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