In order to honor Professor Fernando Nicolau, founding member and co-responsible for the creation of the Portuguese Association for Classification and Data Analysis (CLAD), recognizing his visionary initiative and unusual dedication, the FERNANDO NICOLAU AWARD has been established, in accordance with the decision of the Board of CLAD and subsequent communication of this initiative at the General Assembly of CLAD on March 10, 2021.
The FERNANDO NICOLAU AWARD will be held every two years, and aims to disseminate and reward works in Data Science and Classification and Analysis published internationally by CLAD members, stimulating publication in CLAD’s scientific areas.
The jury of the FERNANDO NICOLAU 2023 AWARD is composed by Helena Bacelar-Nicolau (University of Lisbon, Honorary President), Gilbert Saporta (Professor Emeritus, CNAM, Paris), Paulo Gomes (Information Management School, Universidade Nova de Lisboa) and Mário Figueiredo (Institute of Telecommunications, Instituto Superior Técnico, University of Lisbon).
See here the regulation: Fernando Nicolau Award 2023.
Register here using the Registration Form: Closed.
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PUBLICATIONS ADMITTED TO COMPETITION: 2023
For the 2023 edition, five works that met the conditions of the respective Edital were admitted to the competition. Here is the list of candidates:
1 – Mendes, M.P.; Torres-González, M.; Valença, J.; Silva, A. The Maintenance of Monuments as the Main Trigger to Negative Feelings in Tourists. Buildings, 2022, 12, 2153.
2 – Mendes, M.P.; Rofriguez-Galiano, V.; Aragones, D. Evaluating the BFAST method to detect and characterise changing trends in water time series: A case study on the impact of droughts on the Mediterranean climate. Science of the Total Environment, 2022, 846, 157428.
3 – Moniz, N.; Monteiro, H. No Free Lunch in imbalanced learning. Knowledge-Based Systems, 2021, 227, 107222.
4 – Moniz, N.; Cerqueira, V. Automated imbalanced classification via meta-learning. Expert Systems With Applications, 2021, 178, 115011.
5 – Silva, V. F.; Silva, M. E.; Ribeiro, P.; Silva, F. Novel features for time series analysis: a complex networks approach. Data Mining and Knowledge Discovery, 2022, 36, 1062-1101.
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The FERNANDO NICOLAU AWARD 2023 was given to Maria Eduarda Silva, for competition entry no. 5:
Silva, V. F.; Silva, M. E.; Ribeiro, P.; Silva, F. Novel features for time series analysis: a complex networks approach. Data Mining and Knowledge Discovery, 2022, 36, 1062-1101.
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PAST AWARDS: 2021
Among the papers submitted for the 2021 edition, two were identified as meeting the conditions of the respective Edital. The FERNANDO NICOLAU AWARD 2021 was given to Rosário Oliveira, for the work:
Theoretical foundations of forward feature selection methods based on mutual information, Macedo, F., Oliveira, M. R., Pacheco, A., & Valadas, R., Neurocomputing, 325, 67-89, (2019).
