Eiichiro Sumita is affiliated with the National Institute of Information and Communications Technology in Japan. Their research primarily focuses on computer science, with a concentration in artificial intelligence, computer vision and pattern recognition, information systems, computer science applications, and computer networks and communications.
Their scholarly output includes a significant number of publications covering several key topics: natural language processing techniques, topic modeling, multimodal machine learning applications, text readability and simplification, speech recognition and synthesis, handwritten text recognition techniques, and speech and dialogue systems.
Frequent publication venues for Eiichiro Sumita include:
Key recent papers authored or co-authored by Eiichiro Sumita are:
Their frequent co-authors include Masao Utiyama, Rui Wang, Kehai Chen, Hai Zhao, and Zuchao Li. Collaborations with these researchers have occurred across multiple publications.
Toshiyuki Takezawa;Eiichiro Sumita;Fumiaki Sugaya;Hirofumi Yamamoto
Eiichiro Sumita;Hitoshi Hda
Isao Goto;Bin Lu;Ka Po Chow;Eiichiro Sumita
Toshiaki Nakazawa;Manabu Yaguchi;Kiyotaka Uchimoto;Masao Utiyama
S. Nakamura;K. Markov;H. Nakaiwa;G. Kikui
Gen-ichiro Kikui;Eiichiro Sumita;Toshiyuki Takezawa;Seiichi Yamamoto
Richard Zens;Hermann Ney;Taro Watanabe;Eiichiro Sumita
Eiichiro Sumita;Fumiaki Sugaya;Seiichi Yamamoto
Rui Wang;Masao Utiyama;Lemao Liu;Kehai Chen
Lemao Liu;Masao Utiyama;Andrew M. Finch;Eiichiro Sumita
Toshiaki Nakazawa;Shohei Higashiyama;Chenchen Ding;Hideya Mino
Eiichiro Sumita;Hitoshi Iida;Hideo Kohyama
Andrew M. Finch;Young-Sook Hwang;Eiichiro Sumita
Jingyi Zhang;Masao Utiyama;Eiichiro Sumita;Graham Neubig
Lemao Liu;Masao Utiyama;Andrew M. Finch;Eiichiro Sumita
Graham Neubig;Taro Watanabe;Eiichiro Sumita;Shinsuke Mori
Kehai Chen;Rui Wang;Masao Utiyama;Eiichiro Sumita
Rui Wang;Andrew M. Finch;Masao Utiyama;Eiichiro Sumita
Yasuhiro Akiba;Kenji Imamura;Eiichiro Sumita
Kenji Imamura;Atsushi Fujita;Eiichiro Sumita
Zhuosheng Zhang;Kehai Chen;Rui Wang;Masao Utiyama
If you think any of the details on this page are incorrect, let us know.
Pursuing a degree in Computer Science opens doors to a variety of online programs and career pathways. Students often consider advancing their knowledge and skills through specialized master’s or doctoral degrees, which are increasingly available online at affordable rates.
For those interested in business leadership, exploring options like the cheapest executive mba programs can enhance strategic thinking and management abilities. Library science professionals may prefer evaluating mlis programs to expand their expertise in digital information and data curation.
Many affordable programs exist across disciplines. If cost is a concern, you can find the least expensive online masters degrees, which help reduce the overall burden of education expenses. Those aiming for top leadership roles may also consider earning an online phd leadership degree, which opens up high-level positions in academia and industry.
With flexible learning formats and many cost-effective options, pursuing related online degrees can significantly boost your career progression in computer science and beyond.
Mines ParisTech
Sandia National Laboratories
Columbia University
City University of Hong Kong
Boston University
Korea University
University of Pittsburgh
Toronto Metropolitan University
University of Jyväskylä
Centers for Disease Control and Prevention
Claude Bernard University Lyon 1
Lund University
National Institutes of Health
German Cancer Research Center
National Institute of Standards and Technology
St. Edward's University