Marcos André Gonçalves spends much of his time researching Information retrieval, World Wide Web, Artificial intelligence, Data mining and Genetic programming. Marcos André Gonçalves works in the field of Information retrieval, focusing on Ranking in particular. His work carried out in the field of World Wide Web brings together such families of science as Control, Task and Software engineering.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition. In his work, Data deduplication, Data integration, Database administrator, Function and External Data Representation is strongly intertwined with Replica, which is a subfield of Data mining. His Genetic programming research focuses on subjects like Content-based image retrieval, which are linked to Relevance feedback.
His scientific interests lie mostly in Information retrieval, Artificial intelligence, World Wide Web, Machine learning and Data mining. He combines subjects such as Context, Genetic programming, Set and Citation with his study of Information retrieval. Marcos André Gonçalves has included themes like Task and Pattern recognition in his Artificial intelligence study.
His World Wide Web research focuses on Popularity and how it connects with Data science. Marcos André Gonçalves has researched Machine learning in several fields, including Document classification and Training set. His research in Data mining intersects with topics in Ranking and Data deduplication.
His primary scientific interests are in Artificial intelligence, Machine learning, Information retrieval, Sentiment analysis and Data mining. His work in Artificial intelligence addresses issues such as Pattern recognition, which are connected to fields such as Image retrieval and Fusion. His work in the fields of Learning to rank, Boosting and Ranking overlaps with other areas such as Weighting.
His Information retrieval study combines topics from a wide range of disciplines, such as Popularity, Baseline, Feature and Citation. His Popularity research integrates issues from World Wide Web, Data science and Web content. His work deals with themes such as Recommender system, Set and Curse of dimensionality, which intersect with Data mining.
Marcos André Gonçalves mainly focuses on Artificial intelligence, Information retrieval, Machine learning, Popularity and Sentiment analysis. His Artificial intelligence study frequently draws connections between related disciplines such as Pattern recognition. His Information retrieval study incorporates themes from Feature, Baseline, Genetic programming and Citation.
The study incorporates disciplines such as Data mining, Query optimization, Query expansion and Web search query, Web query classification in addition to Machine learning. Marcos André Gonçalves works mostly in the field of Data mining, limiting it down to topics relating to Reliability and, in certain cases, Set. His Popularity research is multidisciplinary, incorporating elements of World Wide Web, Data science and Web content.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Streams, structures, spaces, scenarios, societies (5s): A formal model for digital libraries
Marcos André Gonçalves;Edward A. Fox;Layne T. Watson;Neill A. Kipp.
ACM Transactions on Information Systems (2004)
Using early view patterns to predict the popularity of youtube videos
Henrique Pinto;Jussara M. Almeida;Marcos A. Gonçalves.
web search and data mining (2013)
SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods
Filipe N Ribeiro;Filipe N Ribeiro;Matheus Araújo;Pollyanna Gonçalves;Marcos André Gonçalves.
EPJ Data Science (2016)
A brief survey of automatic methods for author name disambiguation
Anderson A. Ferreira;Marcos André Gonçalves;Alberto H.F. Laender.
international conference on management of data (2012)
Detecting spammers and content promoters in online video social networks
Fabrício Benevenuto;Tiago Rodrigues;Virgílio Almeida;Jussara Almeida.
international acm sigir conference on research and development in information retrieval (2009)
Recommender Systems Research: A Connection-Centric Survey
Saverio Perugini;Marcos André Gonçalves;Edward A. Fox.
intelligent information systems (2004)
A genetic programming framework for content-based image retrieval
Ricardo da S. Torres;Alexandre X. Falcão;Marcos A. Gonçalves;João P. Papa.
Pattern Recognition (2009)
Learning to advertise
Anísio Lacerda;Marco Cristo;Marcos André Gonçalves;Weiguo Fan.
international acm sigir conference on research and development in information retrieval (2006)
What is a good digital library? - A quality model for digital libraries
Marcos André Gonçalves;Bárbara L. Moreira;Edward A. Fox;Layne T. Watson.
Information Processing and Management (2007)
Combining link-based and content-based methods for web document classification
Pável Calado;Marco Cristo;Edleno Moura;Nivio Ziviani.
conference on information and knowledge management (2003)
Profile was last updated on December 6th, 2021.
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