Yasemin Altün
About
Yasemin Altün has authored 25 papers that have received a total of 2.7k indexed citations.
This includes 19 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. The topics of these papers are Natural Language Processing Techniques (11 papers), Topic Modeling (8 papers) and Algorithms and Data Compression (3 papers). Yasemin Altün is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (8 papers) and Algorithms and Data Compression (3 papers) and collaborates with scholars based in United States, Germany and United Kingdom. Yasemin Altün's co-authors include Thomas Hofmann, Francesco Piccinno, Julian Martin Eisenschlos, Ioannis Tsochantaridis and Bernhard Schölkopf and has published in prestigious journals such as BMC Bioinformatics, Journal of Machine Learning Research and Lecture notes in computer science
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