What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- The Internet
His primary areas of study are Artificial intelligence, Machine learning, Information retrieval, Social media and World Wide Web.
His research on Artificial intelligence often connects related topics like Pattern recognition.
Many of his research projects under Machine learning are closely connected to Associative property and Rank with Associative property and Rank, tying the diverse disciplines of science together.
Wagner Meira interconnects Sentiment analysis, Cluster analysis, Estimation and Data science in the investigation of issues within Social media.
His study in World Wide Web is interdisciplinary in nature, drawing from both Information privacy and Internet privacy.
His research in Task tackles topics such as Quality which are related to areas like Data mining.
His most cited work include:
- Data Mining and Analysis: Fundamental Concepts and Algorithms (502 citations)
- Energy conservation in heterogeneous server clusters (309 citations)
- Dengue surveillance based on a computational model of spatio-temporal locality of Twitter (165 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Data mining, Machine learning, The Internet and World Wide Web.
His Artificial intelligence study integrates concerns from other disciplines, such as Task and Pattern recognition.
His Data mining research integrates issues from Scalability and Cluster analysis.
As part of his studies on Machine learning, Wagner Meira often connects relevant areas like Document classification.
Wagner Meira works mostly in the field of The Internet, limiting it down to concerns involving Server and, occasionally, Distributed computing.
His World Wide Web research is mostly focused on the topic Social media.
He most often published in these fields:
- Artificial intelligence (20.36%)
- Data mining (16.75%)
- Machine learning (13.92%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (20.36%)
- Machine learning (13.92%)
- Internet privacy (5.41%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Machine learning, Internet privacy, Data science and Cloud computing.
His Artificial intelligence study focuses on Artificial neural network in particular.
His research on Machine learning focuses in particular on Support vector machine.
His studies in Internet privacy integrate themes in fields like Online video, Social media and Misinformation.
His Data science study combines topics from a wide range of disciplines, such as Scalability, Epidemiology, Point and Warning system.
His research on Cloud computing also deals with topics like
- Big data which is related to area like Analytics, Information privacy and Software framework,
- Data analysis that intertwine with fields like Data stream mining.
Between 2016 and 2021, his most popular works were:
- Automatic Diagnosis of the 12-lead ECG Using a Deep Neural Network (54 citations)
- Characterizing and Detecting Hateful Users on Twitter. (45 citations)
- Characterizing and Detecting Hateful Users on Twitter (44 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- The Internet
His primary areas of study are Internet privacy, Artificial intelligence, Lexicon, Machine learning and Artificial neural network.
The concepts of his Artificial intelligence study are interwoven with issues in Statistical hypothesis testing, Data mining and Pattern recognition.
His Pattern recognition research includes themes of Document classification and Pairwise comparison.
His work deals with themes such as Word usage and Information retrieval, which intersect with Lexicon.
His Machine learning research incorporates themes from Ensemble selection and Anomaly detection.
In his work, Task, Deep neural networks, F1 score and Code is strongly intertwined with 12 lead ecg, which is a subfield of Artificial neural network.
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