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Márcia Barros

PAST

Acronym Title Funding Entity Start Date End Date
DeST Deep Semantic Tagger FCT 01/10/2018 30/09/2022
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Carvalho, Matilde Baptista Neves de, Barros, Márcia Cristina Afonso. Candidate disease gene prediction : a deep learning approach. Master's dissertation, 2024 [Biblios]
Marcia Barros, André Moitinho, Francisco M. Couto. SeEn: Sequential enriched datasets for sequence-aware recommendations. Scientific Data, 9(1), Springer Science and Business Media LLC, 2022 [Biblios]
Barros, Márcia Cristina Afonso, Couto, Francisco José Moreira, Almeida, André Moitinho de. Recommender system to support comprehensive exploration of large scale scientific datasets. PhD thesis, 2022 [Biblios]
Rosado, Laura Miranda, Barros, Márcia Cristina Afonso. Ferramentas tecnológicas inovadoras para o uso na formação. Master's dissertation, 2022 [Biblios]
Márcia Barros, Pedro Ruas, Diana Sousa, Ali Haider Bangash, Francisco M. Couto. COVID-19 recommender system based on an annotated multilingual corpus. Genomics & Informatics, 19(3), Korea Genome Organization, 2021 [Biblios]
Marcia Barros, Francisco M. Couto, Matilde Pato, Pedro Ruas. Creating Recommender Systems Datasets in Scientific Fields. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. ACM, 2021 [Biblios]
Marcia Barros, Andre Moitinho, Francisco M. Couto. Hybrid semantic recommender system for chemical compounds in large-scale datasets. Journal of Cheminformatics, 13(1), Springer Science and Business Media LLC, 2021 [Biblios]
Marcia Barros, Andre Moitinho, Francisco M. Couto. Hybrid semantic recommender system for chemical compounds in large-scale datasets. Journal of Cheminformatics, 13(1), Springer Science and Business Media LLC, 2021 [Biblios]
M. Barros, A. Moitinho, F. Couto. Recommender systems for scientific fields. In 19th International Symposium on Intelligent Data Analysis (IDA), 2021 [Biblios]
Fábio Colaço, Márcia Barros, Francisco M. Couto. DRecPy: A Python Framework for Developing Deep Learning-Based Recommenders. In Fourteenth ACM Conference on Recommender Systems. ACM, 2020 [Biblios]
Marcia Afonso Barros, Andre Lamurias, Diana Sousa, Pedro Ruas, Francisco M. Couto. COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities. In Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020. Association for Computational Linguistics, 2020 [Biblios]
Márcia Barros, André Moitinho, Francisco M. Couto. Hybrid Semantic Recommender System for Chemical Compounds. In 42nd European Conference on Information Retrieval, pages 94-101. Springer International Publishing, 2020 [Biblios]
Marcia Barros, Andre Moitinho, Francisco M. Couto. Using Research Literature to Generate Datasets of Implicit Feedback for Recommending Scientific Items. IEEE Access, 7, Institute of Electrical and Electronics Engineers (IEEE), 2019 [Biblios]
M. Barros, F.M. Couto. Knowledge Representation and Management: a Linked Data Perspective. Yearbook of Medical Informatics, 25(01):178-183, Georg Thieme Verlag KG, 2016 [Biblios]
M. Barros, A. Lamurias, G. Figueiro, M. Antunes, J. Teixeira, A. Pinheiro, F. Couto, M. Barros. ULISBOA at SemEval-2016 task 12: Extraction of temporal expressions, clinical events and relations using IBEnt. In 9th International Workshop on Semantic Evaluation (SemEval), 2016 [Biblios]