E-LIB Suche - Ergebnisse für: Adeodato, Paulo J. L.

1

Kolmogorov-Smirnov and ROC curve metrics for binary classif..:

, In: 2022 26th International Conference on Pattern Recognition (ICPR),

Adeodato, Paulo ; Melo, Silvio - p. 1194-1199 , 2022

Link: https://doi.org/10.1109/..

2

A geometric proof of the equivalence between AUC_ROC and Gi..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),

Adeodato, Paulo ; Melo, Silvio - p. 1-6 , 2022

Link: https://doi.org/10.1109/..

3

PAN RAM Bootstrapping Regressor - A New RAM-Based Architect..:

, In: Intelligent Systems; Lecture Notes in Computer Science,

de Souza, Starch Melo ; de Lima, Kelly Pereira ; da Cunha Carneiro Lins, Anthony José.. - p. 574-587 , 2022

Link: https://doi.org/10.1007/..

4

Please stop trying to predict elections only with Twitter:

, In: DG.O 2022: The 23rd Annual International Conference on Digital Government Research,

Brito, Kellyton ; Silva Filho, Rogerio Luiz Cardoso ; Adeodato, Paulo - p. 88-95 , 2022

Link: https://dl.acm.org/doi/1..

5

Data Mining Solution for Assessing the Secondary School Stu..:

, In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS),

Silva Filho, Rogerio L.C. ; Adeodato, Paulo J.L. - p. 574-579 , 2019

Link: https://doi.org/10.1109/..

6

MLP ensembles improve long term prediction accuracy over si..:

Adeodato, Paulo J.L. ; Arnaud, Adrian L. ; Vasconcelos, Germano C...
International Journal of Forecasting. 27 (2011) 3 - p. 661-671 , 2011

Link: https://doi.org/10.1016/..

7

New frontiers in applied data mining

PAKDD 2009 international workshops, Bangkok, Thailand, Apri... Lecture notes in computer science ; 5669, Lecture notes in artificial intelligence

Theeramunkong, Thanaruk ; Nattee, Cholwich ; Adeodato, Paulo J. L.... , 2010

Link: http://dx.doi.org/10.100..

8

A New Intelligent System Methodology for Time Series Foreca..:

Ferreira, Tiago A. E. ; Vasconcelos, Germano C. ; Adeodato, Paulo J. L.
Neural Processing Letters. 28 (2008) 2 - p. 113-129 , 2008

Link: https://doi.org/10.1007/..

9

A new evolutionary method for time series forecasting:

, In: Proceedings of the 7th annual conference on Genetic and evolutionary computation,

Ferreira, Tiago A. E. ; Vasconcelos, Germano C. ; Adeodato, Paulo J. L. - p. 2221-2222 , 2005

Link: https://dl.acm.org/doi/1..

10

Enhancing RBF-DDA Algorithm's Robustness: Neural Networks A..:

, In: Artificial Intelligence in Theory and Practice II; IFIP – The International Federation for Information Processing,

Bezerra, Miguel E. R. ; Oliveira, Adriano L. I. ; Adeodato, Paulo J. L.. - p. 119-128 ,

Link: https://doi.org/10.1007/..

11

Stop trying to predict elections only with twitter – There ..:

Brito, Kellyton ; Silva Filho, Rogério Luiz Cardoso ; Adeodato, Paulo Jorge Leitão
Government Information Quarterly. 41 (2024) 1 - p. 101899 , 2024

Link: https://doi.org/10.1016/..

12

Beyond scores: A machine learning approach to comparing edu..:

Cardoso Silva Filho, Rogério Luiz ; Garg, Anvit ; Brito, Kellyton...
PLOS ONE. 18 (2023) 10 - p. e0289260 , 2023

Link: https://doi.org/10.1371/..

13

A data mining framework for reporting trends in the predict..:

Silva Filho, Rogério Luiz Cardoso ; Brito, Kellyton ; Adeodato, Paulo Jorge Leitão
Expert Systems with Applications. 221 (2023) - p. 119729 , 2023

Link: https://doi.org/10.1016/..

14

Machine learning for predicting elections in Latin America ..:

Brito, Kellyton ; Adeodato, Paulo Jorge Leitão
Government Information Quarterly. 40 (2023) 1 - p. 101782 , 2023

Link: https://doi.org/10.1016/..

15

Leveraging Causal Reasoning in Educational Data Mining: An ..:

Silva Filho, Rogério Luiz Cardoso ; Brito, Kellyton ; Adeodato, Paulo Jorge Leitão
Applied Sciences. 13 (2023) 8 - p. 5198 , 2023

Link: https://doi.org/10.3390/..