default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPaulo J. L. Adeodato
Person information
- affiliation: Universidade Federal de Pernambuco, Brasil
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j11]Kellyton Brito, Rogério Luiz Cardoso Silva Filho, Paulo Jorge Leitão Adeodato:
Stop trying to predict elections only with twitter - There are other data sources and technical issues to be improved. Gov. Inf. Q. 41(1): 101899 (2024)- 2023
- [j10]Rogério Luiz Cardoso Silva Filho
, Kellyton Brito, Paulo Jorge Leitão Adeodato:
A data mining framework for reporting trends in the predictive contribution of factors related to educational achievement. Expert Syst. Appl. 221: 119729 (2023) - [j9]Kellyton Brito, Paulo Jorge Leitão Adeodato:
Machine learning for predicting elections in Latin America based on social media engagement and polls. Gov. Inf. Q. 40(1): 101782 (2023) - 2022
- [j8]Kellyton Brito, Paulo Jorge Leitão Adeodato:
Measuring the performances of politicians on social media and the correlation with major Latin American election results. Gov. Inf. Q. 39(4): 101745 (2022) - [c41]Starch Melo de Souza, Kelly Pereira de Lima, Anthony José da Cunha Carneiro Lins, Adriano Fabio Querino de Brito, Paulo J. L. Adeodato:
PAN RAM Bootstrapping Regressor - A New RAM-Based Architecture for Regression Problems. BRACIS (2) 2022: 574-587 - [c40]Kellyton Brito, Rogério Luiz Cardoso Silva Filho, Paulo J. L. Adeodato:
Please stop trying to predict elections only with Twitter. DG.O 2022: 88-95 - [c39]Arthur Scanoni, Rogério L. C. Silva Filho, Paulo J. L. Adeodato, Kellyton Brito:
Using data mining over open data for a longitudinal assessment of municipal public education in Brazil. EGOV-CeDEM-ePart-* 2022 - [c38]Paulo J. L. Adeodato, Sílvio B. Melo:
Kolmogorov-Smirnov and ROC curve metrics for binary classification performance assessment are equivalent. ICPR 2022: 1194-1199 - [c37]Paulo J. L. Adeodato, Sílvio B. Melo:
A geometric proof of the equivalence between AUC_ROC and Gini index area metrics for binary classifier performance assessment. IJCNN 2022: 1-6 - 2021
- [j7]Kellyton dos Santos Brito, Silvio Romero de Lemos Meira, Paulo Jorge Leitão Adeodato:
Correlations of social media performance and electoral results in Brazilian presidential elections. Inf. Polity 26(4): 417-439 (2021) - [j6]Kellyton dos Santos Brito, Rogério Luiz Cardoso Silva Filho, Paulo Jorge Leitão Adeodato:
A Systematic Review of Predicting Elections Based on Social Media Data: Research Challenges and Future Directions. IEEE Trans. Comput. Soc. Syst. 8(4): 819-843 (2021) - [c36]Rogério Luiz Cardoso Silva Filho, Paulo Jorge Leitão Adeodato, Kellyton dos Santos Brito:
Interpreting Classification Models Using Feature Importance Based on Marginal Local Effects. BRACIS (1) 2021: 484-497 - 2020
- [c35]Paulo J. L. Adeodato, Rogerio Luiz C. S. Filho:
Where to aim? Factors that influence the performance of Brazilian secondary schools. EDM 2020 - [c34]Kellyton dos Santos Brito, Paulo Jorge Leitão Adeodato:
Predicting Brazilian and U.S. Elections with Machine Learning and Social Media Data. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c33]Rogério L. C. Silva Filho, Paulo J. L. Adeodato:
Data Mining Solution for Assessing the Secondary School Students of Brazilian Federal Institutes. BRACIS 2019: 574-579 - 2017
- [j5]Rosalvo F. O. Neto, Paulo Jorge Leitão Adeodato, Ana Carolina Salgado:
A framework for data transformation in Credit Behavioral Scoring applications based on Model Driven Development. Expert Syst. Appl. 72: 293-305 (2017) - [i3]Paulo J. L. Adeodato, Fábio C. Pereira, Rosalvo F. Oliveira Neto:
Optimal Categorical Attribute Transformation for Granularity Change in Relational Databases for Binary Decision Problems in Educational Data Mining. CoRR abs/1702.08745 (2017) - 2016
- [c32]Paulo J. L. Adeodato, Rosalvo F. Oliveira Neto:
Polynomial approximation RAM neuron capable of handling true continuous input variables. IJCNN 2016: 76-83 - [c31]Paulo J. L. Adeodato, Sílvio B. Melo:
Equivalência entre a Área sob a Curva Kolmogorov-Smirnov e o Índice de Gini na Avaliação de Desempenho de Decisões Binárias. SBBD 2016: 157-162 - [i2]Paulo J. L. Adeodato, Sílvio B. Melo:
On the equivalence between Kolmogorov-Smirnov and ROC curve metrics for binary classification. CoRR abs/1606.00496 (2016) - 2015
- [c30]Paulo J. L. Adeodato:
Variable Transformation for Granularity Change in Hierarchical Databases in Actual Data Mining Solutions. IDEAL 2015: 146-155 - 2014
- [j4]Domingos Savio Pereira Salazar, Paulo Jorge Leitão Adeodato, Adrian Lucena Arnaud:
Continuous Dynamical Combination of Short and Long-Term Forecasts for Nonstationary Time Series. IEEE Trans. Neural Networks Learn. Syst. 25(1): 241-246 (2014) - [c29]Paulo J. L. Adeodato, Domingos S. P. Salazar, Lucas S. Gallindo, Abner G. Sa, Starch Melo de Souza:
Continuous variables segmentation and reordering for optimal performance on binary classification tasks. IJCNN 2014: 3720-3725 - [c28]Rosalvo F. O. Neto, Paulo J. L. Adeodato, Ana Carolina Salgado, Dailton Rodrigues de Carvalho Filho, Genival Rocha Machado:
CoMoVi: a Framework for Data Transformation in Credit Behavioral Scoring Applications Using Model Driven Architecture. SEKE 2014: 286-291 - 2013
- [c27]Flávio H. D. Araújo, Lailson B. Moraes, André M. Santana, Pedro de A. Santos Neto, Paulo J. L. Adeodato, Érico Leão:
Evaluation of the use of computational intelligence techniques in medical claim processes of a health insurance company. CBMS 2013: 23-28 - [c26]Davi C. de L. Vieira, Paulo J. L. Adeodato, Paulo M. Goncalves Junior:
A Temporal Difference GNG-Based Algorithm That Can Learn to Control in Reinforcement Learning Environments. ICMLA (1) 2013: 329-332 - [c25]Davi Carnauba de Lima Vieira, Paulo Jorge Leitão Adeodato, Paulo M. Goncalves:
A Temporal Difference GNG-Based Approach for the State Space Quantization in Reinforcement Learning Environments. ICTAI 2013: 561-568 - [i1]Renato Oliveira, Paulo J. L. Adeodato, Arthur Carvalho, Icamaan Viegas, Christian Diego, Tsang Ing Ren:
A Data Mining Approach to Solve the Goal Scoring Problem. CoRR abs/1305.4955 (2013) - 2012
- [c24]Domingos S. P. Salazar, Paulo J. L. Adeodato, Adrian L. Arnaud:
Data transformations and seasonality adjustments improve forecasts of MLP ensembles. EAIS 2012: 139-144 - [c23]Hadautho Roberto Barros da Silva, Paulo Jorge Leitão Adeodato:
A data mining approach for preventing undergraduate students retention. IJCNN 2012: 1-8 - [c22]Rosalvo F. O. Neto, Paulo Jorge Leitão Adeodato, Ana Carolina Salgado, Murilo Boratto:
Estudo Comparativo entre Proposicionalização e Mineração de Dados Multidimensional sobre um Banco de Dados Relacional. SBBD (Short Papers) 2012: 240-247 - 2011
- [c21]Icamaan B. Viegas da Silva, Paulo J. L. Adeodato:
PCA and Gaussian noise in MLP neural network training improve generalization in problems with small and unbalanced data sets. IJCNN 2011: 2664-2669 - [c20]Miguel E. R. Bezerra, Adriano L. I. Oliveira, Paulo J. L. Adeodato:
Predicting software defects: A cost-sensitive approach. SMC 2011: 2515-2522 - 2010
- [c19]Icamaan Viegas, Paulo J. L. Adeodato:
An Approach for Learning from Small and Unbalanced Data Sets Using Gaussian Noise During Artificial Neural Network Training. DMIN 2010: 23-30 - [c18]Domingos S. P. Salazar, Maíra de O. Santos, Adrian L. Arnaud, Paulo J. L. Adeodato:
Fat Tailed Distribution of Neural Networks Forecasting. DMIN 2010: 319-326 - [c17]Paulo J. L. Adeodato, Petrônio L. Braga, Adrian L. Arnaud, Germano C. Vasconcelos, Frederico Guedes, Hélio B. Menezes, Giorgio O. Limeira:
Domain Driven Data Mining for Unavailability Estimation of Electrical Power Grids. IEA/AIE (2) 2010: 357-366 - [c16]Paulo J. L. Adeodato, Rosalvo F. O. Neto:
pRAM n-tuple Classifier - a new architecture of probabilistic RAM neurons for classification problems. IJCNN 2010: 1-7 - [c15]Davi C. de L. Vieira, Paulo J. L. Adeodato, Paulo M. Goncalves:
Improving reinforcement learning algorithms by the use of data mining techniques for feature and action selection. SMC 2010: 1863-1870 - [p1]Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro, Rosalvo F. Oliveira Neto:
The Power of Sampling and Stacking for the PAKDD-2007 Cross-Selling Problem. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies 2010: 297-306 - [e1]Thanaruk Theeramunkong, Cholwich Nattee, Paulo J. L. Adeodato, Nitesh V. Chawla, Peter Christen, Philippe Lenca, Josiah Poon, Graham J. Williams:
New Frontiers in Applied Data Mining, PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2009. Revised Selected Papers. Lecture Notes in Computer Science 5669, Springer 2010, ISBN 978-3-642-14639-8 [contents]
2000 – 2009
- 2009
- [c14]Paulo J. L. Adeodato, Tarcísio B. Gurgel, Sandra Mattos:
A Decision Support System Based on Data Mining for Pediatric Cardiology Diagnosis. DMIN 2009: 138-143 - [c13]Rodrigo C. L. V. Cunha, Paulo J. L. Adeodato, Silvio Romero de Lemos Meira:
Knowledge Reuse in Data Mining Projects and Its Practical Applications. ICEIS 2009: 317-324 - [c12]Paulo J. L. Adeodato, Adrian L. Arnaud, Germano C. Vasconcelos, Rodrigo C. L. V. Cunha, Tarcísio B. Gurgel, Domingos S. M. P. Monteiro:
The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge. IJCNN 2009: 57-62 - [c11]Renato Oliveira, Paulo J. L. Adeodato, Arthur Carvalho, Icamaan Viegas, Christian Diego, Ing Ren Tsang:
A data mining approach to solve the goal scoring problem. IJCNN 2009: 2347-2352 - [c10]Rodrigo C. L. V. Cunha, Paulo J. L. Adeodato, Silvio R. L. Meira:
Integration and Knowledge Reuse Environment for Producing Award Winning Solutions for Binary Decision Data Mining Problems. IRI 2009: 376-381 - 2008
- [j3]Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro, Rosalvo F. O. Neto:
The Power of Sampling and Stacking for the PaKDD-2007 Cross-Selling Problem. Int. J. Data Warehous. Min. 4(2): 22-31 (2008) - [j2]Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato:
A New Intelligent System Methodology for Time Series Forecasting with Artificial Neural Networks. Neural Process. Lett. 28(2): 113-129 (2008) - [c9]Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C. L. V. Cunha, Domingos Sávio Malaquias Pessoa Monteiro:
A systematic solution for the NN3 Forecasting Competition problem based on an ensemble of MLP neural networks. ICPR 2008: 1-4 - [c8]Miguel E. R. Bezerra, Adriano L. I. Oliveira, Paulo J. L. Adeodato, Silvio R. L. Meira:
Enhancing RBF-DDA Algorithm's Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules. IFIP AI 2008: 119-128 - 2007
- [c7]Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato:
A New Evolutionary Approach for Time Series Forecasting. CIDM 2007: 616-623 - 2005
- [c6]Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato:
A new evolutionary method for time series forecasting. GECCO 2005: 2221-2222 - 2004
- [c5]Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato:
A hybrid intelligent system approach for improving the prediction of real world time series. IEEE Congress on Evolutionary Computation 2004: 736-743 - [c4]Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Roberto A. F. Santos, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro:
Neural Networks vs Logistic Regression: a Comparative Study on a Large Data Set. ICPR (3) 2004: 355-358
1990 – 1999
- 1999
- [j1]Marcílio Carlos Pereira de Souto, Paulo J. L. Adeodato, Teresa Bernarda Ludermir:
Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference. Int. J. Neural Syst. 9(3): 203-210 (1999) - 1998
- [c3]Marcílio Carlos Pereira de Souto, Paulo J. L. Adeodato:
Learnability in Sequential RAM-based Neural Networks. SBRN 1998: 20-25 - 1997
- [c2]Paulo J. L. Adeodato, John G. Taylor:
Stability analysis of pRAM reinforcement learning. SBRN 1997: 41-50 - 1996
- [c1]Paulo J. L. Adeodato, John G. Taylor:
Autoassociative Memory with high Storage Capacity. ICANN 1996: 29-34
Coauthor Index
aka: Kellyton Brito
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 13:20 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
