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2020 – today
- 2023
[j7]Mariza Ferro
, Gabrieli Silva, Felipe B. de Paula, Vítor Vieira, Bruno Schulze:
Towards a sustainable artificial intelligence: A case study of energy efficiency in decision tree algorithms. Concurr. Comput. Pract. Exp. 35(17) (2023)- [j6]André M. Yokoyama, Mariza Ferro, Felipe B. de Paula, Vítor Vieira, Bruno Schulze:
Investigating hardware and software aspects in the energy consumption of machine learning: A green AI-centric analysis. Concurr. Comput. Pract. Exp. 35(24) (2023) - [c4]José Pereira, Vítor Vieira, Alberto Simões:
Hierarchical Data-Flow Graphs. SLATE 2023: 11:1-11:9 - 2022
- [j5]Tânia Barata, Vítor Vieira, Rúben Rodrigues, Ricardo Pires das Neves, Miguel Rocha:
Reconstruction of tissue-specific genome-scale metabolic models for human cancer stem cells. Comput. Biol. Medicine 142: 105177 (2022) - [j4]Vítor Vieira, Jorge Ferreira, Miguel Rocha:
A pipeline for the reconstruction and evaluation of context-specific human metabolic models at a large-scale. PLoS Comput. Biol. 18(6) (2022)
2010 – 2019
- 2019
- [j3]Vítor Vieira, Miguel Rocha:
CoBAMP: a Python framework for metabolic pathway analysis in constraint-based models. Bioinform. 35(24): 5361-5362 (2019) - [j2]Vítor Vieira, Paulo Maia, Miguel Rocha, Isabel Rocha:
Comparison of pathway analysis and constraint-based methods for cell factory design. BMC Bioinform. 20(1): 350:1-350:15 (2019) - [j1]Vítor Vieira, Jorge Ferreira, Rúben Rodrigues, Filipe Liu, Miguel Rocha:
A Model Integration Pipeline for the Improvement of Human Genome-Scale Metabolic Reconstructions. J. Integr. Bioinform. 16(1) (2019) - [c3]Jorge Ferreira, Vítor Vieira, Jorge Gomes, Sara Correia, Miguel Rocha:
Troppo - A Python Framework for the Reconstruction of Context-Specific Metabolic Models. PACBB 2019: 146-153 - 2018
- [c2]Vítor Vieira, Jorge Ferreira, Rúben Rodrigues, Miguel Rocha:
Metabolite Integration Pipeline for the Improvement of Human Metabolic Models. PACBB 2018: 192-199 - 2016
- [c1]Vítor Vieira, Paulo Maia, Isabel Rocha, Miguel Rocha:
Development of an Integrated Framework for Minimal Cut Set Enumeration in Constraint-Based Models. PACBB 2016: 193-201
Coauthor Index
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