What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- World Wide Web
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 most cited work include:
- Using early view patterns to predict the popularity of youtube videos (309 citations)
- Streams, structures, spaces, scenarios, societies (5s): A formal model for digital libraries (275 citations)
- A brief survey of automatic methods for author name disambiguation (205 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Information retrieval (31.68%)
- Artificial intelligence (27.33%)
- World Wide Web (26.09%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (27.33%)
- Machine learning (22.05%)
- Information retrieval (31.68%)
In recent papers he was focusing on the following fields of study:
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.
Between 2015 and 2021, his most popular works were:
- SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods (179 citations)
- A survey on tag recommendation methods (36 citations)
- TrendLearner: Early prediction of popularity trends of user generated content (30 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Machine learning
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.
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