Francisco M. Couto is affiliated with the University of Lisbon in Portugal. Their research spans multiple fields, prominently including Computer Science and Biochemistry, Genetics and Molecular Biology. Within these disciplines, their focus encompasses various subfields such as Artificial Intelligence, Molecular Biology, Information Systems, Genetics, and Computer Vision and Pattern Recognition.
The scientist's research topics cover a range of areas, including Biomedical Text Mining and Ontologies, Topic Modeling, Recommender Systems and Techniques, Natural Language Processing Techniques, Semantic Web and Ontologies, Bioinformatics and Genomic Networks, and Advanced Text Analysis Techniques.
Francisco M. Couto has contributed to several recent publications. Notable papers include:
Their frequent coauthors include Pedro Ruas, André Lamúrias, Diana Sousa, M. Barros, and A. Moitinho.
Francisco M. Couto commonly publishes in venues such as bioRxiv (Cold Spring Harbor Laboratory), Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature, Research Square (Research Square), arXiv (Cornell University), and Zenodo (CERN European Organization for Nuclear Research).
Catia Pesquita;Daniel Faria;André O. Falcão;Phillip W. Lord
Catia Pesquita;Daniel Faria;Hugo P. Bastos;António E. N. Ferreira
Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez
Daniel Faria;Catia Pesquita;Emanuel Santos;Matteo Palmonari
Francisco M. Couto;Mário J. Silva;Pedro M. Coutinho
Dietrich Rebholz-Schuhmann;Harald Kirsch;Francisco Couto
Francisco M. Couto;Mário J. Silva;Pedro M. Coutinho
Cátia Pesquita;Daniel Faria;Hugo Bastos;André O. Falcão
Emanuel Santos;Daniel Faria;Catia Pesquita;Francisco M. Couto
Muhammad Asif;Muhammad Asif;Hugo F. M. C. M. Martiniano;Hugo F. M. C. M. Martiniano;Astrid M. Vicente;Astrid M. Vicente;Astrid M. Vicente;Francisco M. Couto
Francisco M Couto;Mário J Silva
Tudor Groza;Sebastian Köhler;Sandra C. Doelken;Nigel Collier
Isabel F. Cruz;Cosmin Stroe;Federico Caimi;Alessio Fabiani
Francisco M Couto;Mário J Silva;Pedro M Coutinho
Francisco M Couto;Mário J Silva;Vivian Lee;Emily Dimmer
Catia M. Machado;Dietrich Rebholz-Schuhmann;Ana T. Freitas;Francisco M. Couto
Catia Pesquita;Daniel Faria;Emanuel Santos;Francisco M. Couto
Francisco M. Couto;Mário J. Silva;Pedro M. Coutinho
Catia Pesquita;Delphine Pessoa;Daniel Faria;Francisco M. Couto
João D. Ferreira;Francisco M. Couto
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens doors to numerous online degree options and career pathways. Many fields related to computer science—like physics, data science, and electrical engineering—offer online programs that can boost your skills and broaden your opportunities.
For example, you can earn a bachelor of science in physics online, which provides strong analytical and problem-solving skills useful in tech roles. If you want to work with big data, explore the most affordable data science programs to build expertise in machine learning, statistics, and programming.
You can also boost your qualifications with an online master’s in electrical engineering degree, paving the way for jobs in tech development and hardware innovation. Additionally, some easy certifications to get can quickly increase your earning potential and job prospects, even if you’re still early in your career.
Explore these flexible options to advance your education and position yourself for success in today’s technology-driven job market.
University of Udine
National Yang Ming Chiao Tung University
University of California, Santa Barbara
University of Utah
Manipal Academy of Higher Education
Spanish National Research Council
Friedrich Schiller University Jena
Soochow University
Chongqing University
Colorado State University
University of Porto
Dalian University of Technology
University of California, San Francisco
University of Bordeaux
Pontificia Universidad Católica del Ecuador
University of Oklahoma
