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Publicações Cientificas

Goncalves, M. B., Anastasiadou, M., & Santos, V. (2022)

AI and public contests: a model to improve the evaluation and selection of public contest candidates in the Police Force. Transforming Government: People, Process and Policy, 16(4), 22. https://doi.org/10.1108/TG-05-2022-0078

Anastasiadou, M., Santos, V., & Dias, M. S. (2022)

Machine Learning Techniques Focusing on the Energy Performance of Buildings: A Dimensions and Methods Analysis. Buildings, 12(1), 1-27. [28]. https://doi.org/10.3390/buildings12010028

Anastasiadou, M., Santos, V., & Montargil, F. (2021)

Which technology to which challenge in democratic governance? An approach using design science research. Transforming Government: People, Process and Policy, 15(4), 512-531. https://doi.org/10.1108/TG-03-2020-0045

Anastasiadou, M., Santos, V., & Dias, M. S. (2021)

Evaluating Energy Performance Certificate Data with Data Science. In 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (pp. 1-5). (ICECET 2021, 9-10 December, Cape Town, South Africa). IEEE. https://doi.org/10.1109/ICECET52533.2021.9698806

Abdelaziz, A., Anastasiadou, M., & Castelli, M. (2020)

A parallel particle swarm optimisation for selecting optimal virtual machine on cloud environment. Applied Sciences (Switzerland), 10(18), 1-25. [2806]. https://doi.org/10.3390/APP10186538

Anastasiadou, M., dos Santos, V. D., & Evans, A. M. (2020)

A paired conceptual framework integrating information systems research and democracy theory. In H. Santos, G. V. Pereira, M. Budde, S. F. Lopes, & P. Nikolic (Eds.), Science and Technologies for Smart Cities: 5th  EAI International Summit, SmartCity360, Braga, Portugal, December 4-6, 2019, Proceedings (pp. 217-235). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 323 LNICST). Springer. https://doi.org/10.1007/978-3-030-51005-3_20