What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Machine learning
His main research concerns Natural language processing, Artificial intelligence, Identification, Information retrieval and World Wide Web.
His Natural language processing research includes elements of Sampling, Machine learning, Word and Style.
Efstathios Stamatatos regularly links together related areas like Tree in his Artificial intelligence studies.
Efstathios Stamatatos interconnects n-gram, Categorization, Set and Natural language in the investigation of issues within Identification.
His biological study spans a wide range of topics, including Context and Source code.
His work deals with themes such as Data science, Variety, Noisy text and Representation, which intersect with Source code.
His most cited work include:
- A survey of modern authorship attribution methods (1007 citations)
- Automatic text categorization in terms of genre and author (335 citations)
- Computer-Based Authorship Attribution Without Lexical Measures (197 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Natural language processing, Identification, Information retrieval and World Wide Web are his primary areas of study.
His work on Authorship attribution, Representation and Computational linguistics as part of general Artificial intelligence study is frequently linked to Character, bridging the gap between disciplines.
His research investigates the link between Natural language processing and topics such as Style that cross with problems in Writing style.
His Identification research is multidisciplinary, incorporating elements of Feature, Plagiarism detection, Text categorization, Set and Text mining.
His Information retrieval research is multidisciplinary, relying on both Field, Web page, Web mining and Source code.
The World Wide Web study combines topics in areas such as Conjunction and Profiling.
He most often published in these fields:
- Artificial intelligence (48.54%)
- Natural language processing (41.75%)
- Identification (34.95%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (48.54%)
- Natural language processing (41.75%)
- Domain (6.80%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Natural language processing, Domain, Information retrieval and Authorship attribution.
In his research, he undertakes multidisciplinary study on Artificial intelligence and Simple.
Efstathios Stamatatos combines subjects such as Supervised learning, Style and Specific-information with his study of Domain.
The concepts of his Style study are interwoven with issues in Writing style, Software and Representation.
His Information retrieval study combines topics in areas such as Profiling, Field, Class and Identification.
His research integrates issues of Paraphrase, State and Plagiarism detection in his study of Identification.
Between 2017 and 2021, his most popular works were:
- Overview of the Author Identification Task at PAN-2018: Cross-domain Authorship Attribution and Style Change Detection. (35 citations)
- Overview of PAN 2018. Author identification, author profiling, and author obfuscation (20 citations)
- A Decade of Shared Tasks in Digital Text Forensics at PAN (19 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Machine learning
Efstathios Stamatatos mostly deals with Authorship attribution, Domain, Information retrieval, Artificial intelligence and Natural language processing.
His Domain research integrates issues from Change detection and Style.
His study on Information retrieval is mostly dedicated to connecting different topics, such as Social media.
His Social media course of study focuses on Profiling and World Wide Web.
As part of his studies on Artificial intelligence, Efstathios Stamatatos frequently links adjacent subjects like Identification.
His Field study frequently links to other fields, such as Data science.
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.
