2020

Journal Paper with direct contribution

• Bento, et al. "Automated Analysis of Distributed Tracing: Challenges and Research Directions." Journal of Grid Computing 19.1 (2021): 1-15.
• RODRIGO, A.P., GROSSO, A.R., BAPTISTA, P.V., FERNANDES, A.R., & COSTA, P.M. (2021). A transcriptomic approach to the recruitment of venom proteins in a marine annelid. Toxins 13, 97 (doi: 10.3390/toxins13020097).
• RODRIGO, A.P., MENDES, V.M., MANADAS, B., GROSSO, A.R., ALVES DE MATOS, A.P., BAPTISTA, P.V., COSTA, P.M., FERNANDES, A.R. (2021). Specific antiproliferative properties of proteinaceous toxin secretions from the marine annelid Eulalia sp. onto ovarian cancer cells. Marine Drugs 19, 31 (doi: 10.3390/md19010031).

Journal Paper with indirect contribution (*)

Thesis / Dissertation

PhD Thesis

• PD/BD/137492/2018
• SFRH/BD/148542/2019
• Alberto de Albuquerque Cezar Junior "On deep learning analysis of new physics at the LHC. Tese de Doutorado" Universidade Federal da Paraíba parceria com a Universidade de Aveiro
• João Pedro Pino Gonçalves "Collider, neutrino and dark relics of Grand Unification with Deep Learning" Universidade de Aveiro.

Master Thesis

• Bento, Andre. Observing and controlling performance in microservices. Diss. Universidade de Coimbra, 2019.
• Empowering Antibiotic Polymers Design through Coarse Grained Molecular Dynamics url
• Tiago Correia "Searching for new physics in the era of Deep Learning and Quantum Supremacy" Universidade de Aveiro.

Conference Paper

Conference Poster

Datasets

• https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE143954