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ORCIDAdriano Lorena Inácio de Oliveira
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Journal Articles
- 2024
[j41]Wagner J. F. Silva, Telmo de Menezes e Silva Filho, Delmiro D. Sampaio Neto, Renata M. C. R. Souza
, Adriano L. I. Oliveira, Francisco José de A. Cysneiros:
Sighted particles: improving swarm optimization by making particles aware of their surroundings. Evol. Intell. 17(2): 941-954 (2024)- [j40]Dailys Maite Aliaga Reyes, Leandro Carlos de Souza, Renata M. C. R. de Souza, Adriano L. I. de Oliveira:
Parametrized linear regression for boxplot-multivalued data applied to the Brazilian Electric Sector. Inf. Sci. 652: 119758 (2024) - 2023
- [j39]George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum:
An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction. Empir. Softw. Eng. 28(5): 121 (2023) - [j38]Talles Brito Viana, Victor L. F. Souza, Adriano Lorena Inácio de Oliveira, Rafael M. O. Cruz, Robert Sabourin:
A multi-task approach for contrastive learning of handwritten signature feature representations. Expert Syst. Appl. 217: 119589 (2023) - [j37]Jose Thiago H. de A. Cabral, Adriano L. I. Oliveira, Fabio Q. B. da Silva:
Ensemble Effort Estimation: An updated and extended systematic literature review. J. Syst. Softw. 195: 111542 (2023) - [j36]Hidelberg Oliveira Albuquerque, Ellen Souza, Carlos Gomes, Matheus Henrique de C. Pinto, Ricardo P. S. Filho, Rosimeire Costa, Vinícius Teixeira de M. Lopes, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho, Adriano L. I. Oliveira:
Named Entity Recognition: a Survey for the Portuguese Language. Proces. del Leng. Natural 70: 171-185 (2023) - [j35]Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira:
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach. IEEE Trans. Knowl. Data Eng. 35(2): 2048-2060 (2023) - 2022
- [j34]Mouglas Eugênio Nasário Gomes, David Macêdo, Cleber Zanchettin, Paulo Salgado Gomes de Mattos Neto, Adriano L. I. Oliveira:
Multi-human Fall Detection and Localization in Videos. Comput. Vis. Image Underst. 220: 103442 (2022) - [j33]Dailys Maite Aliaga Reyes, Renata M. C. R. de Souza, Adriano L. I. de Oliveira:
A three-stage approach for modeling multiple time series applied to symbolic quartile data. Expert Syst. Appl. 187: 115884 (2022) - [j32]Jayr Alencar Pereira, David Macêdo, Cleber Zanchettin, Adriano Lorena Inácio de Oliveira, Robson do Nascimento Fidalgo:
PictoBERT: Transformers for next pictogram prediction. Expert Syst. Appl. 202: 117231 (2022) - [j31]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2350-2364 (2022) - 2021
- [j30]Jose Thiago H. de A. Cabral, Adriano L. I. Oliveira:
Ensemble Effort Estimation using dynamic selection. J. Syst. Softw. 175: 110904 (2021) - 2020
- [j29]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification. Expert Syst. Appl. 154: 113397 (2020) - [j28]Ellen Souza, Diego Santos, Gustavo H. F. M. Oliveira, Alisson Silva, Adriano L. I. Oliveira:
Swarm optimization clustering methods for opinion mining. Nat. Comput. 19(3): 547-575 (2020) - 2019
- [j27]David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study. Expert Syst. Appl. 124: 271-281 (2019) - [j26]Jarley Palmeira Nóbrega, Adriano L. I. Oliveira:
A sequential learning method with Kalman filter and extreme learning machine for regression and time series forecasting. Neurocomputing 337: 235-250 (2019) - [j25]Ricardo de A. Araújo, Nadia Nedjah, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
A deep increasing-decreasing-linear neural network for financial time series prediction. Neurocomputing 347: 59-81 (2019) - 2018
- [j24]Ellen Souza, Danilo Costa, Dayvid Castro, Douglas Vitório, Ingryd Teles, Rafaela Almeida, Tiago Alves, Adriano L. I. Oliveira, Cristine Gusmão:
Characterising text mining: a systematic mapping review of the Portuguese language. IET Softw. 12(2): 49-75 (2018) - [j23]Ricardo de A. Araújo, Nadia Nedjah, José Manoel de Seixas, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
Evolutionary-morphological learning machines for high-frequency financial time series prediction. Swarm Evol. Comput. 42: 1-15 (2018) - 2017
- [j22]Dayvid Castro, Ellen Souza, Douglas Vitório, Diego Santos, Adriano L. I. Oliveira:
Smoothed n-gram based models for tweet language identification: A case study of the Brazilian and European Portuguese national varieties. Appl. Soft Comput. 61: 1160-1172 (2017) - [j21]Rodrigo C. Brasileiro, Victor L. F. Souza, Adriano L. I. Oliveira:
Automatic trading method based on piecewise aggregate approximation and multi-swarm of improved self-adaptive particle swarm optimization with validation. Decis. Support Syst. 104: 79-91 (2017) - [j20]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
A morphological neural network for binary classification problems. Eng. Appl. Artif. Intell. 65: 12-28 (2017) - [j19]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
A class of hybrid multilayer perceptrons for software development effort estimation problems. Expert Syst. Appl. 90: 1-12 (2017) - [j18]Ricardo de A. Araújo, Adriano Lorena Inácio de Oliveira, Silvio Romero de Lemos Meira:
On the problem of forecasting air pollutant concentration with morphological models. Neurocomputing 265: 91-104 (2017) - 2016
- [j17]Rodolfo C. Cavalcante, Rodrigo C. Brasileiro, Victor L. F. Souza, Jarley Palmeira Nóbrega, Adriano L. I. Oliveira:
Computational Intelligence and Financial Markets: A Survey and Future Directions. Expert Syst. Appl. 55: 194-211 (2016) - 2015
- [j16]Jarley Palmeira Nóbrega, Adriano Lorena Inácio de Oliveira:
Kalman filter-based method for Online Sequential Extreme Learning Machine for regression problems. Eng. Appl. Artif. Intell. 44: 101-110 (2015) - [j15]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Silvio Romero de Lemos Meira:
A hybrid model for high-frequency stock market forecasting. Expert Syst. Appl. 42(8): 4081-4096 (2015) - [j14]Telmo de Menezes e Silva Filho, Bruno A. Pimentel, Renata M. C. R. Souza, Adriano L. I. Oliveira:
Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization. Expert Syst. Appl. 42(17-18): 6315-6328 (2015) - 2014
- [j13]George G. Cabral, Adriano L. I. Oliveira:
One-Class Classification based on searching for the problem features limits. Expert Syst. Appl. 41(16): 7182-7199 (2014) - 2012
- [j12]Ricardo de A. Araújo, Sérgio Soares, Adriano L. I. Oliveira:
Hybrid morphological methodology for software development cost estimation. Expert Syst. Appl. 39(6): 6129-6139 (2012) - [j11]Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio Soares, Silvio R. L. Meira:
An evolutionary morphological approach for software development cost estimation. Neural Networks 32: 285-291 (2012) - 2011
- [j10]Ricardo de A. Araújo, Adriano Lorena Inácio de Oliveira, Sérgio C. B. Soares:
A shift-invariant morphological system for software development cost estimation. Expert Syst. Appl. 38(4): 4162-4168 (2011) - 2010
- [j9]Lamartine Almeida Teixeira, Adriano Lorena Inácio de Oliveira:
A method for automatic stock trading combining technical analysis and nearest neighbor classification. Expert Syst. Appl. 37(10): 6885-6890 (2010) - [j8]Adriano L. I. Oliveira, Petrônio L. Braga, Ricardo Massa Ferreira Lima, Márcio Cornélio:
GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation. Inf. Softw. Technol. 52(11): 1155-1166 (2010) - 2009
- [j7]Wesnaida H. Schuler, Carmelo J. A. Bastos Filho, Adriano L. I. Oliveira:
A novel hybrid training method for hopfield neural networks applied to routing in communications networks. Int. J. Hybrid Intell. Syst. 6(1): 27-39 (2009) - [j6]George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu:
Combining nearest neighbor data description and structural risk minimization for one-class classification. Neural Comput. Appl. 18(2): 175-183 (2009) - 2008
- [j5]Adriano L. I. Oliveira, Flavio R. G. Costa, Clovis O. S. Filho:
Novelty detection with constructive probabilistic neural networks. Neurocomputing 71(4-6): 1046-1053 (2008) - 2006
- [j4]Adriano L. I. Oliveira, Ericles A. Medeiros, Thyago A. B. V. Rocha, Miguel E. R. Bezerra, Ronaldo C. Veras:
On the Influence of Parameter theta- on Performance of Rbf Neural Networks Trained with the Dynamic Decay Adjustment Algorithm. Int. J. Neural Syst. 16(4): 271-282 (2006) - [j3]Adriano L. I. Oliveira:
Estimation of software project effort with support vector regression. Neurocomputing 69(13-15): 1749-1753 (2006) - [j2]Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
Detecting novelties in time series through neural networks forecasting with robust confidence intervals. Neurocomputing 70(1-3): 79-92 (2006) - 2005
- [j1]Adriano L. I. Oliveira, Bruno J. M. Melo, Silvio Romero de Lemos Meira:
Improving constructive training of RBF networks through selective pruning and model selection. Neurocomputing 64: 537-541 (2005)
Conference and Workshop Papers
- 2024
- [c108]Hidelberg Albuquerque, Ellen Souza, Tainan Silva, Rafael P. Gouveia, Flávio Rocha Junior, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho, Adriano Lorena Inácio de Oliveira, Francisco Edmundo de Andrade:
UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition. PROPOR 2024: 342-352 - 2023
- [c107]Hidelberg Oliveira Albuquerque, Ellen Souza, Adriano L. I. Oliveira, David Macêdo, Cleber Zanchettin, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho:
On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. EPIA (2) 2023: 93-104 - [c106]Lucas de Lima Nogueira, David Macêdo, Cleber Zanchettin, Fernando M. P. Neto, Adriano Lorena Inácio de Oliveira:
Learning What, Where and Which to Transfer. IJCNN 2023: 1-8 - [c105]Thiago De Sousa Araújo, Ricardo Massa Ferreira Lima, Adriano Lorena Inácio de Oliveira, Raphael José D'Castro, Bráulio Gabriel Gusmão, Rafael Leite Paulo, João Thiago De França Guerra:
Investigating the Usability and Comprehensibility of Process Mining Tools Within an Application-Specific Context. SMC 2023: 4337-4342 - 2022
- [c104]Douglas Vitório, Ellen Souza, Lucas Martins, Nádia Félix F. da Silva, André Carlos Ponce de Leon Ferreira de Carvalho, Adriano L. I. Oliveira:
Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback. BRACIS (1) 2022: 77-91 - [c103]Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM. BRACIS (2) 2022: 328-342 - [c102]Rosimeire Costa, Hidelberg Oliveira Albuquerque, Gabriel Silvestre, Nádia Félix F. da Silva, Ellen Souza, Douglas Vitório, Augusto Nunes, Felipe Siqueira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio de Souza Dias, Fabíola S. F. Pereira, Matheus Silva, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, André C. P. L. F. de Carvalho, Adriano Lorena Inácio de Oliveira:
Expanding UlyssesNER-Br Named Entity Recognition Corpus with Informal User-Generated Text. EPIA 2022: 767-779 - [c101]Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
LogBERT-BiLSTM: Detecting Malicious Web Requests. ICANN (3) 2022: 704-715 - [c100]Andersson A. Da Silva, Amanda S. Xavier, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira:
An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data. IJCNN 2022: 1-8 - [c99]Talles Brito Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification. IJCNN 2022: 1-9 - [c98]Hidelberg Oliveira Albuquerque, Rosimeire Costa, Gabriel Silvestre, Ellen Souza, Nádia Félix F. da Silva, Douglas Vitório, Gyovana Moriyama, Lucas Martins, Luiza Soezima, Augusto Nunes, Felipe Siqueira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio de Souza Dias, Matheus Silva, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, André C. P. L. F. de Carvalho, Adriano L. I. Oliveira:
UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition. PROPOR 2022: 3-14 - 2021
- [c97]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Entropic Out-of-Distribution Detection. IJCNN 2021: 1-8 - [c96]Julio Cezar Soares Silva, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Adiel Teixeira de Almeida Filho:
Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders. IJCNN 2021: 1-7 - [c95]Ellen Souza, Douglas Vitório, Gyovana Moriyama, Luiz Santos, Lucas Martins, Mariana Souza, Márcio Fonseca F. da Silva, Nádia Félix, André C. P. L. F. de Carvalho, Hidelberg Oliveira Albuquerque, Adriano L. I. Oliveira:
An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies. JURIX 2021: 119-126 - [c94]Paulo M. Vasconcelos, David Macêdo, Leandro M. Almeida, Reginaldo G. L. Neto, Clayton A. Benevides, Cleber Zanchettin, Adriano L. I. Oliveira:
Identification of Microorganism Colony Odor Signature using InceptionTime. SMC 2021: 60-65 - 2020
- [c93]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. GECCO Companion 2020: 69-70 - [c92]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification. ICPR 2020: 7478-7485 - [c91]Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. IJCNN 2020: 1-8 - [c90]Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin:
Squeezed Deep 6DoF Object Detection using Knowledge Distillation. IJCNN 2020: 1-7 - 2019
- [c89]Douglas Vitório, Ellen Souza, Adriano L. I. Oliveira:
Using Active Learning Sampling Strategies for Ensemble Generation on Opinion Mining. BRACIS 2019: 114-119 - [c88]Douglas Vitório, Ellen Souza, Adriano L. I. Oliveira:
Evaluating Active Learning Sampling Strategies for Opinion Mining in Brazilian Politics Corpora. EPIA (2) 2019: 695-707 - [c87]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Characterization of Handwritten Signature Images in Dissimilarity Representation Space. ICCS (3) 2019: 192-206 - [c86]Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira:
GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts. IJCNN 2019: 1-8 - [c85]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification. IJCNN 2019: 1-9 - 2018
- [c84]Raphael J. D'Castro, Adriano L. I. Oliveira, Augusto H. Terra:
Process Mining Discovery Techniques in a Low-Structured Process Works? BRACIS 2018: 200-205 - [c83]Victor L. F. Souza, Adriano L. I. Oliveira, Robert Sabourin:
A Writer-Independent Approach for Offline Signature Verification using Deep Convolutional Neural Networks Features. BRACIS 2018: 212-217 - [c82]Luiz Antonio de Oliveira Junior, Heitor R. Medeiros, David Macedo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation. IJCNN 2018: 1-6 - [c81]Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira, Adriano L. I. Oliveira:
Aggregation of Time Series Forecasts via Cacoullos Copula. IJCNN 2018: 1-7 - [c80]Aline Gondim Santos, Camila Oliveira de Souza, Cleber Zanchettin, David Macedo, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions. IJCNN 2018: 1-6 - 2017
- [c79]Miguel D. de S. Wanderley, Leonardo de A. e Bueno, Cleber Zanchettin, Adriano L. I. Oliveira:
The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks. ICANN (2) 2017: 582-589 - [c78]Hector N. B. Pinheiro, Fernando M. P. Neto, Adriano L. I. Oliveira, Tsang Ing Ren, George D. C. Cavalcanti, André Gustavo Adami:
Optimizing speaker-specific filter banks for speaker verification. ICASSP 2017: 5350-5354 - [c77]Jose Thiago H. de A. Cabral, Ricardo de A. Araújo, Jarley Palmeira Nóbrega, Adriano L. I. Oliveira:
Heterogeneous Ensemble Dynamic Selection for Software Development Effort Estimation. ICTAI 2017: 210-217 - [c76]Gustavo H. F. M. Oliveira, Rodolfo C. Cavalcante, George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira:
Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach. ICTAI 2017: 239-246 - [c75]Douglas Vitório, Ellen Polliana Ramos Souza, Ingryd Pereira, Adriano L. I. Oliveira:
Investigating Opinion Mining through Language Varieties: a Case Study of Brazilian and European Portuguese tweets. STIL 2017: 43-52 - 2016
- [c74]Dayvid Castro, Ellen Souza, Adriano L. I. de Oliveira:
Discriminating between Brazilian and European Portuguese National Varieties on Twitter Texts. BRACIS 2016: 265-270 - [c73]Ellen Souza, Adriano L. I. Oliveira, Gustavo H. F. M. Oliveira, Alisson Silva, Diego Santos:
An Unsupervised Particle Swarm Optimization Approach for Opinion Clustering. BRACIS 2016: 307-312 - [c72]George Gomes Cabral, Adriano Lorena Inacio de Oliveira:
Novelty Detection Based on Genuine Normal and Artificially Generated Novelty Examples. BRACIS 2016: 319-324 - [c71]Rodolfo C. Cavalcante, Leandro L. Minku, Adriano L. I. Oliveira:
FEDD: Feature Extraction for Explicit Concept Drift Detection in time series. IJCNN 2016: 740-747 - [c70]Rodrigo F. B. de Brito, Adriano L. I. Oliveira:
A probabilistic and dynamic chart pattern recognition hybrid system applied to foreign exchange rate prediction. IJCNN 2016: 1112-1119 - [c69]Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira, Adriano L. I. Oliveira:
Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series. IJCNN 2016: 4089-4096 - [c68]Ellen Souza, Tiago Alves, Ingryd Teles, Adriano L. I. Oliveira, Cristine Gusmão:
TOPIE: An Open-Source Opinion Mining Pipeline to Analyze Consumers' Sentiment in Brazilian Portuguese. PROPOR 2016: 95-105 - [c67]Ellen Souza, Douglas Vitório, Dayvid Castro, Adriano L. I. Oliveira, Cristine Gusmão:
Characterizing Opinion Mining: A Systematic Mapping Study of the Portuguese Language. PROPOR 2016: 122-127 - [c66]Ellen Souza, Dayvid Castro, Douglas Vitório, Ingryd Teles, Adriano L. I. Oliveira, Cristine Gusmão:
Characterizing User-Generated Text Content Mining: A Systematic Mapping Study of the Portuguese Language. WorldCIST (1) 2016: 1015-1024 - 2015
- [c65]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
A Model with Evolutionary Covariance-based Learning for High-Frequency Financial Forecasting. GECCO 2015: 1175-1182 - [c64]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Silvio Romero de Lemos Meira:
A prediction model for high-frequency financial time series. IJCNN 2015: 1-8 - [c63]Rodolfo C. Cavalcante, Adriano L. I. Oliveira:
An approach to handle concept drift in financial time series based on Extreme Learning Machines and explicit Drift Detection. IJCNN 2015: 1-8 - [c62]Victor L. F. Souza, Rodrigo C. Brasileiro, Adriano L. I. Oliveira:
A PAA-PSO technique for investment strategies in the financial market. IJCNN 2015: 1-8 - [c61]Kassio R. Coquita, Arley Ramalho R. Ristar, Adriano L. I. Oliveira, Patrícia C. A. R. Tedesco:
Sistema de Previsão do Tempo de Chegada dos Ônibus Baseado em Dados Históricos Utilizando Modelos de Regressão [Prediction System of Bus Arrival Time Based on Historical Data Using Regression Models]. SBSI 2015: 119-126 - 2014
- [c60]Rodolfo C. Cavalcante, Adriano L. I. Oliveira:
An autonomous trader agent for the stock market based on online sequential extreme learning machine ensemble. IJCNN 2014: 1424-1431 - [c59]Rodrigo F. B. de Brito, Adriano L. I. Oliveira:
Sliding window-based analysis of multiple foreign exchange trading systems by using soft computing techniques. IJCNN 2014: 4251-4258 - [c58]Jarley Palmeira Nóbrega, Adriano L. I. Oliveira:
A combination forecasting model using machine learning and Kalman filter for statistical arbitrage. SMC 2014: 1294-1299 - [c57]George Gomes Cabral, Adriano Lorena Inácio de Oliveira:
One-class Classification for heart disease diagnosis. SMC 2014: 2551-2556 - 2013
- [c56]Rodrigo C. Brasileiro, Victor L. F. Souza, Bruno J. T. Fernandes, Adriano L. I. Oliveira:
Automatic method for stock trading combining technical analysis and the Artificial Bee Colony Algorithm. IEEE Congress on Evolutionary Computation 2013: 1810-1817 - [c55]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio R. L. Meira:
A learning process based on covariance matrix adaptation for morphological-linear perceptrons. IEEE Congress on Evolutionary Computation 2013: 2275-2282 - [c54]Jarley Palmeira Nóbrega, Adriano Lorena Inácio de Oliveira:
Improving the Statistical Arbitrage Strategy in Intraday Trading by Combining Extreme Learning Machine and Support Vector Regression with Linear Regression Models. ICTAI 2013: 182-188 - [c53]Thiago Tavares, Adriano L. I. Oliveira, George G. Cabral, Sandra da Silva Mattos, Renata Grigorio:
Preprocessing unbalanced data using weighted support vector machines for prediction of heart disease in children. IJCNN 2013: 1-8 - 2012
- [c52]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio R. L. Meira:
A Hybrid Model for S&P500 Index Forecasting. ICANN (2) 2012: 573-581 - [c51]George G. Cabral, Adriano L. I. Oliveira:
One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction. ICANN (1) 2012: 693-700 - [c50]Gilles Paiva M. de Farias, Adriano L. I. de Oliveira, George G. Cabral:
Extreme Learning Machines for Intrusion Detection Systems. ICONIP (4) 2012: 535-543 - [c49]Rodrigo F. B. de Brito, Adriano L. I. Oliveira:
Comparative Study of FOREX Trading Systems Built with SVR+GHSOM and Genetic Algorithms Optimization of Technical Indicators. ICTAI 2012: 351-358 - [c48]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio R. L. Meira:
A Dilation-Erosion-Linear Perceptron for Bovespa Index Prediction. IDEAL 2012: 407-415 - [c47]Rodrigo F. B. de Brito, Adriano L. I. Oliveira:
A foreign exchange market trading system by combining GHSOM and SVR. IJCNN 2012: 1-7 - 2011
- [c46]Ricardo Araujo Costa, Adriano L. I. Oliveira, Sérgio Soares, Silvio Romero de Lemos Meira:
An evolutionary approach to design dilation-erosion perceptrons for stock market indices forecasting. GECCO 2011: 1651-1658 - [c45]Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio C. B. Soares, Silvio R. L. Meira:
Gradient-based morphological approach for software development cost estimation. IJCNN 2011: 588-594 - [c44]Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio C. B. Soares, Silvio R. L. Meira:
Designing dilation-erosion perceptrons with differential evolutionary learning for air pressure forecasting. IJCNN 2011: 595-602 - [c43]George Gomes Cabral, Adriano Lorena Inacio de Oliveira:
A novel one-class classification method based on feature analysis and prototype reduction. SMC 2011: 983-988 - [c42]Renata Medeiros de Carvalho, Ricardo Massa Ferreira Lima, Adriano Lorena Inácio de Oliveira:
An efficient algorithm for static task scheduling in parallel applications. SMC 2011: 2313-2318 - [c41]Miguel E. R. Bezerra, Adriano L. I. Oliveira, Paulo J. L. Adeodato:
Predicting software defects: A cost-sensitive approach. SMC 2011: 2515-2522 - [c40]Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio Soares, Silvio R. L. Meira:
Dilation-erosion perceptrons with evolutionary learning for weather forecasting. SMC 2011: 3070-3077 - 2010
- [c39]Renata Medeiros de Carvalho, Ricardo Massa Ferreira Lima, Adriano L. I. Oliveira, Felix C. G. Santos:
Scheduling parallel jobs for multiphysics simulators. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c38]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares:
A covariance matrix adaptation based evolutionary methodology for phase adjustment in financial time series forecasting. GECCO 2010: 1315-1316 - [c37]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio Soares:
Hybrid Intelligent Design of Morphological-Rank-Linear Perceptrons for Software Development Cost Estimation. ICTAI (1) 2010: 160-167 - [c36]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares:
A quantum-inspired hybrid methodology for financial time series prediction. IJCNN 2010: 1-8 - [c35]George G. Cabral, Adriano L. I. Oliveira:
A hybrid method for novelty detection in time series based on states transitions and swarm intelligence. IJCNN 2010: 1-8 - [c34]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares:
Hybrid evolutionary quantum inspired method to adjust time phase distortions in financial time series. SAC 2010: 1153-1154 - [c33]Renata Medeiros de Carvalho, Ricardo Massa Ferreira Lima, Adriano L. I. de Oliveira, Felix Christian Guimarães Santos:
Identifying parallel jobs for Multi-Physics simulators scheduling. SMC 2010: 923-930 - [c32]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio Soares:
Overcoming the random walk dilemma using a Covariance Matrix Adaptation Evolutionary method. SMC 2010: 2434-2441 - 2009
- [c31]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares:
A Morphological-Rank-Linear Approach for Software Development Cost Estimation. ICTAI 2009: 630-636 - [c30]Lamartine Almeida Teixeira, Adriano L. I. Oliveira:
Predicting Stock Trends through Technical Analysis and Nearest Neighbor Classification. SMC 2009: 3094-3099 - 2008
- [c29]V. M. O. Alves, Adriano L. I. Oliveira, E. R. Silva Jr., Carlos A. B. Mello:
Handwritten Digit Segmentation in Images of Historical Documents with One-Class Classifiers. ICTAI (2) 2008: 41-44 - [c28]Robson D. Montenegro, Adriano L. I. Oliveira, George G. Cabral, Cintia R. T. Katz, Aronita Rosenblatt:
A Comparative Study of Machine Learning Techniques for Caries Prediction. ICTAI (2) 2008: 477-481 - [c27]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 - [c26]George G. Cabral, Adriano L. I. Oliveira:
A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule. IFIP AI 2008: 245-254 - [c25]Carmelo J. A. Bastos Filho, Wesnaida H. Schuler, Adriano L. I. Oliveira:
A fast and reliable routing algorithm based on Hopfield Neural Networks optimized by Particle Swarm Optimization. IJCNN 2008: 2777-2783 - [c24]Petrônio L. Braga, Adriano L. I. Oliveira, Silvio R. L. Meira:
A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation. SAC 2008: 1788-1792 - [c23]Lamartine Almeida Teixeira, Felipe T. G. Oliveira, Adriano L. I. Oliveira, Carmelo J. A. Bastos Filho:
Adjusting Weights and Architecture of Neural Networks through PSO with Time-Varying Parameters and Early Stopping. SBRN 2008: 33-38 - [c22]Carlos A. B. Mello, Adriano L. I. Oliveira, Ángel Sánchez:
Historical Document Image Binarization. VISAPP (1) 2008: 108-113 - 2007
- [c21]Carmelo J. A. Bastos Filho, Robson A. Santana, Adriano L. I. Oliveira:
A Novel Approach for a Routing Algorithm Based on a Discrete Time Hopfield Neural Network. FOCI 2007: 363-369 - [c20]Wesnaida H. Schuler, Carmelo J. A. Bastos Filho, Adriano L. I. Oliveira:
A Novel Hybrid Training Method for Hopfield Neural Networks Applied to Routing in Communications Networks. HIS 2007: 36-41 - [c19]Petrônio L. Braga, Adriano L. I. Oliveira, Silvio R. L. Meira:
Software Effort Estimation using Machine Learning Techniques with Robust Confidence Intervals. HIS 2007: 352-357 - [c18]Ronaldo C. Veras, Silvio R. L. Meira, Adriano L. I. Oliveira, Bruno J. M. Melo:
Comparative Study of Clustering Techniques for the Organization of Software Repositories. HIS 2007: 372-377 - [c17]Petrônio L. Braga, Adriano L. I. Oliveira, Silvio R. L. Meira:
Software Effort Estimation Using Machine Learning Techniques with Robust Confidence Intervals. ICTAI (1) 2007: 181-185 - [c16]Ronaldo C. Veras, Silvio R. L. Meira, Adriano L. I. Oliveira, Bruno J. M. Melo:
Comparative Study of Clustering Techniques for the Organization of Software Repositories. ICTAI (1) 2007: 210-214 - [c15]Carmelo J. A. Bastos Filho, Carlos A. B. Mello, Júlio Dantas Andrade, Davi M. A. Falcão, Marília P. Lima, Wellington P. dos Santos, Adriano L. I. Oliveira:
Based on Color Quantization by Genetic Algorithms. ICTAI (1) 2007: 488-491 - [c14]Petrônio L. Braga, Adriano L. I. Oliveira, Gustavo H. T. Ribeiro, Silvio R. L. Meira:
Bagging Predictors for Estimation of Software Project Effort. IJCNN 2007: 1595-1600 - [c13]George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu:
A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization. IJCNN 2007: 1976-1981 - [c12]Miguel E. R. Bezerra, Adriano L. I. Oliveira, Silvio R. L. Meira:
A Constructive RBF Neural Network for Estimating the Probability of Defects in Software Modules. IJCNN 2007: 2869-2874 - [c11]Wesnaida H. Schuler, Carmelo J. A. Bastos Filho, Adriano L. I. Oliveira:
A Hybrid Hopfield Network-Simulated Annealing approach to Optimize Routing Processes in Telecommunications Networks. ISDA 2007: 58-63 - 2006
- [c10]Adriano L. I. Oliveira, Silvio R. L. Meira:
Improving RBF-DDA Performance on Optical Character Recognition through Weights Adjustment. IJCNN 2006: 3188-3195 - [c9]Adriano L. I. Oliveira, Carlos A. B. Mello, E. R. Silva Jr., V. M. O. Alves:
Optical Digit Recognition for Images of Handwritten Historical Documents. SBRN 2006: 166-171 - 2005
- [c8]Adriano L. I. Oliveira, Carolina Baldisserotto, Julio Baldisserotto:
A Comparative Study on Support Vector Machine and Constructive RBF Neural Network for Prediction of Success of Dental Implants. CIARP 2005: 1015-1026 - [c7]Adriano L. I. Oliveira, Ericles A. Medeiros, Thyago A. B. V. Rocha, Miguel E. R. Bezerra, Ronaldo C. Veras:
A Study on the Influence of Parameter ?- on Performance of RBF Neural Networks Trained with the Dynamic Decay Adjustment Algorithm. HIS 2005: 512-514 - [c6]Adriano Lorena Inácio de Oliveira, Carolina Baldisserotto, Julio Baldisserotto:
A Comparative Study on Machine Learning Techniques for Prediction of Success of Dental Implants. MICAI 2005: 939-948 - 2004
- [c5]Adriano L. I. Oliveira, Fernando Buarque de Lima Neto, Silvio Romero de Lemos Meira:
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series. FLAIRS 2004: 670-675 - [c4]Adriano L. I. Oliveira, Bruno J. M. Melo, Fernando Buarque de Lima Neto, Silvio Romero de Lemos Meira:
Combining Data Reduction and Parameter Selection for Improving RBF-DDA Performance. IBERAMIA 2004: 778-787 - [c3]Adriano L. I. Oliveira, Fernando Buarque de Lima Neto, Silvio Romero de Lemos Meira:
Improving RBF-DDA Performance on Optical Character Recognition through Parameter Selection. ICPR (4) 2004: 625-628 - [c2]Adriano L. I. Oliveira, Fernando Buarque de Lima Neto, Silvio Romero de Lemos Meira:
Combining MLP and RBF Neural Networks for Novelty Detection in Short Time Series. MICAI 2004: 844-853 - 2003
- [c1]Adriano L. I. Oliveira, Fernando Buarque de Lima Neto, Silvio Romero de Lemos Meira:
Novelty Detection for Short Time Series with Neural Networks. HIS 2003: 66-76
Informal and Other Publications
- 2021
- [i8]Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira:
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model. CoRR abs/2102.05983 (2021) - 2020
- [i7]Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin:
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation. CoRR abs/2003.13586 (2020) - [i6]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification. CoRR abs/2004.03370 (2020) - [i5]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. CoRR abs/2004.03373 (2020) - [i4]Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. CoRR abs/2008.06866 (2020) - [i3]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification. CoRR abs/2010.10025 (2020) - 2019
- [i2]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp, Teresa Bernarda Ludermir:
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss. CoRR abs/1908.05569 (2019) - 2018
- [i1]Victor L. F. Souza, Adriano L. I. Oliveira, Robert Sabourin:
A writer-independent approach for offline signature verification using deep convolutional neural networks features. CoRR abs/1807.10755 (2018)
Coauthor Index
George G. Cabral
aka: George Gomes Cabral
aka: George Gomes Cabral
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
David Macedo
aka: David Macêdo
aka: David Macêdo
Silvio Romero de Lemos Meira
aka: Silvio R. L. Meira
aka: Silvio R. L. Meira
Sérgio Soares
aka: Sérgio C. B. Soares
aka: Sérgio C. B. Soares
Ellen Souza 0001
aka: Ellen Polliana Ramos Souza
aka: Ellen Polliana Ramos Souza
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