What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Machine learning
- The Internet
Data mining, Artificial intelligence, Social network, Information retrieval and World Wide Web are her primary areas of study.
The study incorporates disciplines such as Correlation clustering, Cluster analysis, Constrained clustering, Data stream clustering and Single-linkage clustering in addition to Data mining.
The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
Her Social network research integrates issues from Time complexity, Community structure and Blogosphere.
Her Information retrieval research includes themes of Annotation, Value, Metadata and Evolutionary information.
Her work on Social media, Microblogging and Personalization as part of general World Wide Web research is frequently linked to Public relations, bridging the gap between disciplines.
Her most cited work include:
- Why we twitter: understanding microblogging usage and communities (2344 citations)
- Facetnet: a framework for analyzing communities and their evolutions in dynamic networks (338 citations)
- Evolutionary spectral clustering by incorporating temporal smoothness (321 citations)
What are the main themes of her work throughout her whole career to date?
Belle L. Tseng mainly investigates Artificial intelligence, Information retrieval, Data mining, World Wide Web and Machine learning.
Her Artificial intelligence research incorporates elements of Computer vision and Pattern recognition.
Her research in Information retrieval intersects with topics in Annotation, Metadata, Image retrieval and Benchmark.
Her Data mining study incorporates themes from Query expansion and Ranking.
Many of her research projects under World Wide Web are closely connected to Geography with Geography, tying the diverse disciplines of science together.
Her Social network study integrates concerns from other disciplines, such as Social media and Visualization.
She most often published in these fields:
- Artificial intelligence (29.92%)
- Information retrieval (28.35%)
- Data mining (22.05%)
What were the highlights of her more recent work (between 2009-2015)?
- Artificial intelligence (29.92%)
- Machine learning (14.17%)
- World Wide Web (16.54%)
In recent papers she was focusing on the following fields of study:
Belle L. Tseng mostly deals with Artificial intelligence, Machine learning, World Wide Web, Information retrieval and Ranking.
She interconnects Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.
Belle L. Tseng combines topics linked to Data mining with her work on Machine learning.
The study incorporates disciplines such as Regression analysis, Image and Potentially all pairwise rankings of all possible alternatives in addition to Data mining.
While working on this project, she studies both World Wide Web and Identity correlation.
Her studies deal with areas such as Search engine, Metasearch engine, Relevance, Snippet and Click-through rate as well as Ranking.
Between 2009 and 2015, her most popular works were:
- Multi-task learning for boosting with application to web search ranking (95 citations)
- Unbiased online active learning in data streams (84 citations)
- Active learning for ranking through expected loss optimization (73 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- The Internet
Her primary areas of investigation include Machine learning, Artificial intelligence, Semi-supervised learning, Active learning and World Wide Web.
Her Machine learning study combines topics from a wide range of disciplines, such as Data stream, Sample and Data mining.
Her research integrates issues of Decision tree, Regularization, Boosting and Unsupervised learning in her study of Semi-supervised learning.
As a member of one scientific family, Belle L. Tseng mostly works in the field of Active learning, focusing on Ranking and, on occasion, Ranking.
Her research in World Wide Web is mostly concerned with Search engine.
She performs integrative study on Geography and Information retrieval in her works.
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