Anna Korhonen is affiliated with the University of Cambridge in the United Kingdom and specializes in the field of computer science, with a strong focus on artificial intelligence. Their research extends into several subfields including computer vision and pattern recognition, molecular biology, hardware and architecture, and radiology, nuclear medicine, and imaging.
The scientist's work spans multiple main topics within their discipline, notably:
Anna Korhonen has published extensively, with a significant number of articles appearing in venues such as arXiv (Cornell University), Transactions of the Association for Computational Linguistics, Apollo (University of Cambridge), the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, and the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Long Papers).
Among recent published papers, the following stand out with details of publication year and venue:
Frequent collaborators in their research include:
The research portfolio of Anna Korhonen reflects significant engagement in interdisciplinary applications of machine learning, particularly relating to biomedical domains and language processing. Their body of work contributes to advancing computational methods in artificial intelligence with implications across speech systems, multilingual transfer learning, and medical data analysis.
Michael Roberts;Michael Roberts;Derek Driggs;Matthew Thorpe;Julian D. Gilbey
Felix Hill;Roi Reichart;Anna Korhonen
Felix Hill;Kyunghyun Cho;Anna Korhonen
Karin Kipper;Anna Korhonen;Neville Ryant;Martha Palmer
Billy Chiu;Gamal K. O. Crichton;Anna Korhonen;Sampo Pyysalo
Karin Kipper;Anna Korhonen;Neville Ryant;Martha Palmer
Daniela Gerz;Ivan Vulic;Felix Hill;Roi Reichart
Gamal K. O. Crichton;Sampo Pyysalo;Billy Chiu;Anna Korhonen
Ekaterina Shutova;Lin Sun;Anna Korhonen
Nikola Mrksic;Nikola Mrksic;Ivan Vulic;Diarmuid Ó Séaghdha;Ira Leviant
Ivan Vulić;Edoardo Maria Ponti;Robert Litschko;Goran Glavaš
Felix Hill;KyungHyun Cho;Anna Korhonen;Yoshua Bengio
Ekaterina Shutova;Simone Teufel;Anna Korhonen
David Yarowsky;Timothy Baldwin;Anna Korhonen;Karen Livescu
Edoardo Maria Ponti;Helen O’Horan;Yevgeni Berzak;Ivan Vulić
Yoko Mizuta;Anna Korhonen;Tony Mullen;Nigel Collier
Anna Korhonen;Ted Briscoe
Billy Chiu;Anna Korhonen;Sampo Pyysalo
Lin Sun;Anna Korhonen
Anna Korhonen;Yuval Krymolowski;Ted Briscoe
Nikola Mrkšić;Ivan Vulić;Diarmuid Ó Séaghdha;Ira Leviant
If you think any of the details on this page are incorrect, let us know.
Studying computer science in the USA opens doors to a wide range of online degrees and career opportunities. For those seeking budget-friendly advanced education, exploring the most affordable online masters can provide in-depth skills without the heavy financial burden.
Leadership roles in tech, academia, or business may require further study. An accessible option is a doctorate in leadership online or the cheapest online doctorate in educational leadership. These degrees blend management knowledge with your technical background, preparing you for senior or executive positions.
For students just starting out, the easiest associate's degree to get offers a fast track into the tech workforce. This pathway is well-suited for career-changers, or those seeking foundational qualifications before committing to longer programs.
Whether you’re advancing your career or beginning your studies, these online degree pathways offer flexible, affordable options tailored to a wide range of goals within the field of computer science.
Nanjing University of Science and Technology
University of Manchester
The University of Texas at Austin
University of California, Los Angeles
University of Queensland
Baylor University
Universidade de São Paulo
Institute of Science Tokyo
Carnegie Mellon University
IBM (United States)
Université Catholique de Louvain
University of Stuttgart
University of Georgia
Maastricht University
University of Alberta
University of Colorado Anschutz Medical Campus