Ramesh Nallapati is affiliated with Amazon in the United States and has an extensive publication record primarily in computer science. Their research spans multiple subfields, including artificial intelligence, computer vision and pattern recognition, information systems, statistical and nonlinear physics, as well as sociology and political science.
The scientist's research focuses on a range of topics such as topic modeling, natural language processing techniques, multimodal machine learning applications, advanced text analysis techniques, software engineering research, machine learning and data classification, and complex network analysis techniques.
Notable recent papers by Ramesh Nallapati include:
Frequent co-authors in their work include:
Ramesh Nallapati has published extensively in venues such as arXiv (Cornell University), with 24 publications, as well as in the Proceedings of the International AAAI Conference on Web and Social Media, the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, the Proceedings of the AAAI Conference on Artificial Intelligence, and the Findings of the Association for Computational Linguistics: NAACL 2022.
Ramesh Nallapati;Bowen Zhou;Cicero Nogueira dos santos;Caglar Gulcehre
Daniel Ramage;David Hall;Ramesh Nallapati;Christopher D. Manning
Ramesh Nallapati;Feifei Zhai;Bowen Zhou
Mihai Surdeanu;Julie Tibshirani;Ramesh Nallapati;Christopher D. Manning
Caglar Gulcehre;Sungjin Ahn;Ramesh Nallapati;Bowen Zhou
Pramuditha Perera;Ramesh Nallapati;Bing Xiang
Ramesh M. Nallapati;Amr Ahmed;Eric P. Xing;William W. Cohen
Ramesh Nallapati
Ramesh Nallapati;Ao Feng;Fuchun Peng;James Allan
A. Arnold;R. Nallapati;W.W. Cohen
Zhiguo Wang;Patrick Ng;Xiaofei Ma;Ramesh Nallapati
Ramesh Nallapati;Bing Xiang;Bowen Zhou
Ramesh Nallapati;William W. Cohen
Dejiao Zhang;Feng Nan;Xiaokai Wei;Shang-Wen Li
Blair Perot;Ramesh Nallapati
Feng Nan;Ran Ding;Ramesh Nallapati;Bing Xiang
Ramesh Nallapati;Bowen Zhou;Mingbo Ma
Ramesh Nallapati;James Allan
Edo Liberty;Zohar Karnin;Bing Xiang;Laurence Rouesnel
Feng Nan;Ramesh Nallapati;Zhiguo Wang;Cícero Nogueira dos Santos
Ramesh Nallapati;William Cohen;John Lafferty
If you think any of the details on this page are incorrect, let us know.
As you explore studying Computer Science in the USA, it's worth considering additional educational options that can boost your skills and career prospects. Many students and working professionals are now opting for flexible academic pathways through online degrees.
For those looking to save time and money, you can find quickest cheapest masters degree programs that allow you to earn your credentials in as little as 12-18 months. These accelerated options are ideal for career changers or those seeking to enhance their qualifications quickly.
If you’re focused on investing in your future, consider exploring the best masters degree to get for technology and computer science fields. These in-demand programs can open doors to top-paying positions in software development, data analysis, and cybersecurity.
Alternatively, 2 year online degrees offer a fast-track entry into the tech workforce. Associate degrees can be completed entirely online, providing foundational skills with greater affordability and convenience.
If budget is a primary concern, check out options from cheap online colleges. These institutions offer quality education without the hefty price tag, making computer science accessible for students from all backgrounds.
Nanjing University of Posts and Telecommunications
Scotland's Rural College
Leiden University Medical Center
Monash University
Brown University
Sapienza University of Rome
Gifu University
Cincinnati Children's Hospital Medical Center
University of Bristol
University of Delaware
National University of Singapore
Université de Sherbrooke
United States Department of Agriculture
Pacific Northwest National Laboratory
Ludwig-Maximilians-Universität München
University of Regensburg