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2020 – today
- 2024
[j39]Karen Braga Enes, Matheus Nunes, Fabricio Murai, Gisele L. Pappa:
Temporally-aware node embeddings for evolving networks topologies. AI Commun. 37(3): 411-428 (2024)- [j38]Michele A. Brandão, Arthur P. G. Reis, Bárbara M. A. Mendes, Clara A. Bacha, Gabriel P. Oliveira
, Henrique R. Hott, Larissa D. Gomide, Lucas L. Costa, Mariana O. Silva, Anísio M. Lacerda, Gisele L. Pappa:
PLUS: A Semi-automated Pipeline for Fraud Detection in Public Bids. Digit. Gov. Res. Pract. 5(1): 5:1-5:16 (2024) - [j37]Domagoj Jakobovic, Eric Medvet, Gisele L. Pappa, Leonardo Trujillo:
Introduction to special issue on highlights of genetic programming 2022 events. Genet. Program. Evolvable Mach. 25(1): 1 (2024) - [j36]Mariana O. Silva, Lucas L. Costa, Larissa D. Gomide, Guilherme Bezerra dos Santos, Gabriel P. Oliveira, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa:
Overpricing Analysis in Brazilian Public Bidding Items. J. Interact. Syst. 15(1): 130-142 (2024) - [j35]Camila Santana Braz, Marco Túlio Dutra, Gabriel P. Oliveira, Lucas L. Costa, Mariana O. Silva, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa:
Exploring Irregularities in Brazilian Public Bids: An In-depth Analysis on Small Companies. J. Interact. Syst. 15(1): 349-361 (2024) - [c96]Pedro Paulo Valadares Brum, Mariana O. Silva, Gabriel P. Oliveira, Lucas G. L. Costa, Anísio Lacerda, Gisele L. Pappa:
Unsupervised Grouping of Public Procurement Similar Items: Which Text Representation Should I Use? LREC/COLING 2024: 17176-17185 - 2023
- [j34]Gabriel P. Oliveira, Bárbara M. A. Mendes, Clara A. Bacha, Lucas L. Costa, Larissa D. Gomide, Mariana O. Silva, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa:
Assessing Data Quality Inconsistencies in Brazilian Governmental Data. J. Inf. Data Manag. 14(1) (2023) - [c95]Matheus Cândido Teixeira, Gisele Lobo Pappa:
Fitness Landscape Analysis of TPOT Using Local Optima Network. BRACIS (3) 2023: 65-79 - [c94]Renato Miranda Filho, Gisele L. Pappa:
Hybrid Multilevel Explanation: A New Approach for Explaining Regression Models. BRACIS (1) 2023: 399-414 - [c93]Henrique R. Hott, Mariana O. Silva, Gabriel P. Oliveira, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa:
Evaluating Contextualized Embeddings for Topic Modeling in Public Bidding Domain. BRACIS (3) 2023: 410-426 - [c92]Matheus Cândido Teixeira, Gisele L. Pappa:
On the Effect of Solution Representation and Neighborhood Definition in AutoML Fitness Landscapes. EvoCOP 2023: 227-243 - [c91]Victor Caetano, Matheus Cândido Teixeira, Gisele Lobo Pappa:
Symbolic Regression Trees as Embedded Representations. GECCO 2023: 411-419 - [c90]Anísio Lacerda, Claudio Almeida, Leonardo Augusto Ferreira, Adriano C. M. Pereira, Gisele L. Pappa, Wagner Meira Jr., Débora M. Miranda, Marco Aurélio Romano-Silva, Leandro Malloy Diniz:
Algorithmic Recourse in Mental Healthcare. IJCNN 2023: 1-8 - [c89]Michele A. Brandão, Mariana O. Silva, Gabriel P. Oliveira, Henrique R. Hott, Anísio M. Lacerda, Gisele L. Pappa:
Impacto do Pré-processamento e Representação Textual na Classificação de Documentos de Licitações. SBBD 2023: 102-114 - [c88]Larissa D. Gomide, Guilherme Bezerra dos Santos, Lucas L. Costa, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa:
Mineração de Dados sobre Despesas Públicas de Municípios Mineiros para Gerar Alertas de Fraudes. SBBD 2023: 378-383 - [c87]Bárbara M. A. Mendes, Camila Santana Braz, Lucas L. Costa, Gabriel P. Oliveira, Henrique R. Hott, Mariana O. Silva, Gisele L. Pappa:
Impacto de Doações Eleitorais no Faturamento de Empresas: Um Estudo nas Eleições Municipais em Minas Gerais. SBBD 2023: 420-425 - [e2]Gisele L. Pappa, Mario Giacobini, Zdenek Vasícek:
Genetic Programming - 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings. Lecture Notes in Computer Science 13986, Springer 2023, ISBN 978-3-031-29572-0 [contents] - 2022
- [j33]Marcelo Pita, Matheus Nunes, Gisele L. Pappa:
Probabilistic topic modeling for short text based on word embedding networks. Appl. Intell. 52(15): 17829-17844 (2022) - [j32]Guilherme F. Marchezini, Anísio M. Lacerda, Gisele L. Pappa, Wagner Meira Jr., Débora M. Miranda, Marco Aurélio Romano-Silva, Danielle S. Costa, Leandro Malloy Diniz:
Counterfactual inference with latent variable and its application in mental health care. Data Min. Knowl. Discov. 36(2): 811-840 (2022) - [j31]Jerry Swan, Steven Adriænsen, Alexander E. I. Brownlee, Kevin Hammond, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, Juan Julián Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White:
Metaheuristics "In the Large". Eur. J. Oper. Res. 297(2): 393-406 (2022) - [j30]Pedro Paulo Valadares Brum, Matheus Cândido Teixeira, Renato Vimieiro, Eric Araújo, Wagner Meira Jr., Gisele Lobo Pappa:
Political polarization on Twitter during the COVID-19 pandemic: a case study in Brazil. Soc. Netw. Anal. Min. 12(1): 140 (2022) - [j29]Renato Miranda Filho, Anísio M. Lacerda, Gisele L. Pappa:
Explainable Regression Via Prototypes. ACM Trans. Evol. Learn. Optim. 2(4): 14:1-14:26 (2022) - [c86]Matheus Cândido Teixeira, Gisele Lobo Pappa:
Analysis of Neutrality of AutoML Search Spaces with Local Optima Networks. BRACIS (1) 2022: 473-487 - [c85]Matheus Cândido Teixeira, Gisele L. Pappa:
Understanding AutoML search spaces with local optima networks. GECCO 2022: 449-457 - [c84]Karen Braga Enes, Matheus Nunes, Fabricio Murai, Gisele L. Pappa:
Evolving Node Embeddings for Dynamic Exploration of Network Topologies. IBERAMIA 2022: 147-159 - [c83]Gabriel P. Oliveira, Arthur P. G. Reis, Bárbara M. A. Mendes, Clara A. Bacha, Lucas L. Costa, Gabriel L. Canguçu, Mariana O. Silva, Victor Caetano, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa:
Ferramentas open-source de qualidade de dados para licitações públicas: Uma análise comparativa. SBBD 2022: 116-127 - [c82]Gabriel P. Oliveira, Arthur P. G. Reis, Felipe A. N. Freitas, Lucas L. Costa, Mariana O. Silva, Pedro Paulo Valadares Brum, Samuel E. L. Oliveira, Michele A. Brandão, Anísio Lacerda, Gisele L. Pappa:
Detecting Inconsistencies in Public Bids: An Automated and Data-based Approach. WebMedia 2022: 182-190 - [e1]Eric Medvet, Gisele L. Pappa, Bing Xue:
Genetic Programming - 25th European Conference, EuroGP 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20-22, 2022, Proceedings. Lecture Notes in Computer Science 13223, Springer 2022, ISBN 978-3-031-02055-1 [contents] - 2021
- [j28]Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas:
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms. Evol. Intell. 14(4): 1895-1914 (2021) - [j27]Joao Francisco B. S. Martins, Erickson R. Nascimento, Bruno Ramos Nascimento, Craig A. Sable, Andrea Z. Beaton, Antônio L. P. Ribeiro, Wagner Meira Jr., Gisele L. Pappa:
Towards automatic diagnosis of rheumatic heart disease on echocardiographic exams through video-based deep learning. J. Am. Medical Informatics Assoc. 28(9): 1834-1842 (2021) - [j26]Felipe Casadei, Gisele L. Pappa:
Multi-region symbolic regression: combining functions under a multi-objective approach. Nat. Comput. 20(4): 753-773 (2021) - [j25]Mario Andrés Muñoz, Tao Yan, Matheus R. Leal, Kate Smith-Miles, Ana Carolina Lorena, Gisele L. Pappa, Rômulo Madureira Rodrigues:
An Instance Space Analysis of Regression Problems. ACM Trans. Knowl. Discov. Data 15(2): 28:1-28:25 (2021) - [c81]Matheus Nunes, Paulo M. Fraga, Gisele L. Pappa:
Fitness landscape analysis of graph neural network architecture search spaces. GECCO 2021: 876-884 - [c80]Alisson Renan Svaigen, Lailla M. S. Bine, Gisele L. Pappa, Linnyer Beatrys Ruiz, Antonio A. F. Loureiro:
Automatic Drone Identification Through Rhythm-based Features for the Internet of Drones. ICTAI 2021: 1417-1421 - [c79]Anísio Lacerda, Gisele L. Pappa:
Deep Thompson Sampling for Length of Stay Prediction. IJCNN 2021: 1-7 - [c78]Isadora Cardoso-Pereira, Gisele Lobo Pappa, Heitor S. Ramos:
Neural Architecture Search for Resource-Constrained Internet of Things Devices. ISCC 2021: 1-6 - 2020
- [j24]Milo N. R. Utsch, Gisele L. Pappa, Luiz Chaimowicz, Raquel O. Prates:
A new non-deterministic drama manager for adaptive interactive storytelling. Entertain. Comput. 34: 100364 (2020) - [j23]Roberta Coeli Neves Moreira, Pedro O. S. Vaz de Melo, Gisele L. Pappa:
Elite versus mass polarization on the Brazilian impeachment proceedings of 2016. Soc. Netw. Anal. Min. 10(1): 92 (2020) - [j22]Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Luiz H. C. Merschmann, Gisele L. Pappa:
Is Rank Aggregation Effective in Recommender Systems? An Experimental Analysis. ACM Trans. Intell. Syst. Technol. 11(2): 16:1-16:26 (2020) - [c77]Matheus Nunes, Gisele L. Pappa:
Neural Architecture Search in Graph Neural Networks. BRACIS 2020: 302-317 - [c76]Renato Miranda Filho, Anísio Lacerda, Gisele L. Pappa:
Explaining Symbolic Regression Predictions. CEC 2020: 1-8 - [c75]Luis Fernando Miranda, Luiz Otávio Vilas Boas Oliveira, Joao Francisco Barreto da Silva Martins, Gisele L. Pappa:
Instance Selection for Geometric Semantic Genetic Programming. CEC 2020: 1-8 - [c74]Cristiano Guimarães Pimenta, Alex Guimarães Cardoso de Sá, Gabriela Ochoa, Gisele L. Pappa:
Fitness Landscape Analysis of Automated Machine Learning Search Spaces. EvoCOP 2020: 114-130 - [c73]Alex Guimarães Cardoso de Sá, Cristiano Guimarães Pimenta, Gisele Lobo Pappa, Alex Alves Freitas:
A robust experimental evaluation of automated multi-label classification methods. GECCO 2020: 175-183 - [i12]Alex Guimarães Cardoso de Sá, Cristiano Guimarães Pimenta, Gisele L. Pappa, Alex Alves Freitas:
A Robust Experimental Evaluation of Automated Multi-Label Classification Methods. CoRR abs/2005.08083 (2020) - [i11]Matheus Nunes, Gisele L. Pappa:
Neural Architecture Search in Graph Neural Networks. CoRR abs/2008.00077 (2020) - [i10]Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas:
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version). CoRR abs/2009.07430 (2020) - [i9]Jerry Swan, Steven Adriænsen, Alexander E. I. Brownlee, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, Juan Julián Merelo Guervós, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David Robert White:
Towards Metaheuristics "In the Large". CoRR abs/2011.09821 (2020)
2010 – 2019
- 2019
- [c72]Felipe Casadei, Joao Francisco B. S. Martins, Gisele L. Pappa:
A Multi-objective Approach for Symbolic Regression with Semantic Genetic Programming. BRACIS 2019: 66-71 - 2018
- [j21]Fabricio Murai, Diogo Rennó, Bruno Ribeiro, Gisele L. Pappa, Don Towsley, Krista Gile:
Selective harvesting over networks. Data Min. Knowl. Discov. 32(1): 187-217 (2018) - [j20]Alex Guimarães Cardoso de Sá, Adriano C. M. Pereira, Gisele L. Pappa:
A customized classification algorithm for credit card fraud detection. Eng. Appl. Artif. Intell. 72: 21-29 (2018) - [j19]Sílvio S. Ribeiro Jr., Gisele L. Pappa:
Strategies for combining Twitter users geo-location methods. GeoInformatica 22(3): 563-587 (2018) - [c71]Marcelo Pita, Gisele L. Pappa:
Strategies for Short Text Representation in the Word Vector Space. BRACIS 2018: 266-271 - [c70]Samuel E. L. Oliveira, Pedro Paulo Valadares Brum, Anísio Lacerda, Gisele L. Pappa:
Exploiting Multiple Recommenders to Improve Group Recommendation. BRACIS 2018: 324-329 - [c69]Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Gisele L. Pappa:
Multi-objective Evolutionary Rank Aggregation for Recommender Systems. CEC 2018: 1-8 - [c68]Marco A. Ribeiro, Iago A. Carvalho, Jeferson F. Chaves, Gisele L. Pappa, Omar P. Vilela Neto:
Improving Energy Efficiency of Field-Coupled Nanocomputing Circuits by Evolutionary Synthesis. CEC 2018: 1-8 - [c67]Joao Francisco B. S. Martins, Luiz Otávio Vilas Boas Oliveira, Luis Fernando Miranda, Felipe Casadei, Gisele L. Pappa:
Solving the exponential growth of symbolic regression trees in geometric semantic genetic programming. GECCO 2018: 1151-1158 - [c66]Luiz Otávio Vilas Boas Oliveira, Joao Francisco B. S. Martins, Luis Fernando Miranda, Gisele L. Pappa:
Analysing symbolic regression benchmarks under a meta-learning approach. GECCO (Companion) 2018: 1342-1349 - [c65]Karen Braga Enes, Saulo Moraes Villela, Gisele Lobo Pappa, Raul Fonseca Neto:
An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction. ICMLA 2018: 436-442 - [c64]Alex Guimarães Cardoso de Sá, Alex Alves Freitas, Gisele L. Pappa:
Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming. PPSN (2) 2018: 308-320 - [c63]Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - [c62]Milo N. R. Utsch, Gisele Lobo Pappa, Luiz Chaimowicz:
Implementation and Analysis of a Non-deterministic Drama Manager. SBGames 2018: 167-176 - [c61]Karen Braga Enes, Pedro Paulo Valadares Brum, Tiago Oliveira Cunha, Fabricio Murai, Ana Paula Couto da Silva, Gisele Lobo Pappa:
Reddit Weight Loss Communities: Do They Have What It Takes for Effective Health Interventions? WI 2018: 508-513 - [i8]Joao Francisco B. S. Martins, Luiz Otávio Vilas Boas Oliveira, Luis Fernando Miranda, Felipe Casadei, Gisele L. Pappa:
Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic Programming. CoRR abs/1804.06808 (2018) - [i7]Luiz Otávio Vilas Boas Oliveira, Joao Francisco Barreto da Silva Martins, Luis Fernando Miranda, Gisele Lobo Pappa:
Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach. CoRR abs/1805.10365 (2018) - [i6]Alex Guimarães Cardoso de Sá, Alex Alves Freitas, Gisele L. Pappa:
Multi-label classification search space in the MEKA software. CoRR abs/1811.11353 (2018) - 2017
- [j18]Gisele Lobo Pappa, Kate Cerqueira Revoredo, Teresa Bernarda Ludermir:
BRACIS 2015: Progress in computation intelligence in Brazil. Neurocomputing 246: 1-2 (2017) - [j17]Paulo Viana Bicalho, Marcelo Pita, Gabriel Pedrosa, Anísio Lacerda, Gisele L. Pappa:
A general framework to expand short text for topic modeling. Inf. Sci. 393: 66-81 (2017) - [j16]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, Gisele L. Pappa:
H3AD: A hybrid hyper-heuristic for algorithm design. Inf. Sci. 414: 340-354 (2017) - [j15]João P. A. Moraes, Gisele L. Pappa, Douglas E. V. Pires, Sandro C. Izidoro:
GASS-WEB: a web server for identifying enzyme active sites based on genetic algorithms. Nucleic Acids Res. 45(Webserver-Issue): W315-W319 (2017) - [c60]Julio Albinati, Wagner Meira Jr., Gisele L. Pappa, Andrew Gordon Wilson:
Efficient Gaussian Process-Based Inference for Modelling Spatio-Temporal Dengue Fever. BRACIS 2017: 61-66 - [c59]Julio Albinati, Wagner Meira Jr., Gisele L. Pappa, Mauro Teixeira, Cecilia Marques-Toledo:
Enhancement of Epidemiological Models for Dengue Fever Based on Twitter Data. DH 2017: 109-118 - [c58]Luiz Otávio Vilas Boas Oliveira, Felipe Casadei, Gisele L. Pappa:
Strategies for Improving the Distribution of Random Function Outputs in GSGP. EuroGP 2017: 164-177 - [c57]Alex Guimarães Cardoso de Sá, Walter José G. S. Pinto, Luiz Otávio Vilas Boas Oliveira, Gisele L. Pappa:
RECIPE: A Grammar-Based Framework for Automatically Evolving Classification Pipelines. EuroGP 2017: 246-261 - [c56]Luis Fernando Miranda, Luiz Otávio Vilas Boas Oliveira, Joao Francisco B. S. Martins, Gisele L. Pappa:
How noisy data affects geometric semantic genetic programming. GECCO 2017: 985-992 - [c55]Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Alex Alves Freitas:
Towards a method for automatically selecting and configuring multi-label classification algorithms. GECCO (Companion) 2017: 1125-1132 - [c54]Felipe Kenji Nakano, Walter José G. S. Pinto, Gisele Lobo Pappa, Ricardo Cerri:
Top-down strategies for hierarchical classification of transposable elements with neural networks. IJCNN 2017: 2539-2546 - [c53]Tiago Oliveira Cunha, Ingmar Weber, Gisele L. Pappa:
A Warm Welcome Matters!: The Link Between Social Feedback and Weight Loss in /r/loseit. WWW (Companion Volume) 2017: 1063-1072 - [i5]Tiago Oliveira Cunha, Ingmar Weber, Gisele L. Pappa:
A Warm Welcome Matters! The Link Between Social Feedback and Weight Loss in /r/loseit. CoRR abs/1701.05225 (2017) - [i4]Fabricio Murai, Diogo Rennó, Bruno Ribeiro, Gisele L. Pappa, Don Towsley, Krista Gile:
Selective Harvesting over Networks. CoRR abs/1703.05082 (2017) - [i3]Julio Albinati, Wagner Meira Jr., Gisele L. Pappa, Mauro Teixeira, Cecilia Marques-Toledo:
Enhancement of Epidemiological Models for Dengue Fever Based on Twitter Data. CoRR abs/1705.07879 (2017) - [i2]Luis Fernando Miranda, Luiz Otávio Vilas Boas Oliveira, Joao Francisco B. S. Martins, Gisele L. Pappa:
How Noisy Data Affects Geometric Semantic Genetic Programming. CoRR abs/1707.01046 (2017) - 2016
- [j14]Erica C. Rodrigues, Renato M. Assunção, Gisele L. Pappa, Diogo Rennó, Wagner Meira Jr.:
Exploring multiple evidence to infer users' location in Twitter. Neurocomputing 171: 30-38 (2016) - [c52]Julio Albinati, Wagner Meira Jr., Gisele L. Pappa:
An Accurate Gaussian Process-Based Early Warning System for Dengue Fever. BRACIS 2016: 43-48 - [c51]Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Luis Fernando Miranda, Gisele L. Pappa:
Revisiting the Sequential Symbolic Regression Genetic Programming. BRACIS 2016: 163-168 - [c50]Gabriel Pedrosa, Marcelo Pita, Paulo Viana Bicalho, Anísio Lacerda, Gisele L. Pappa:
Topic Modeling for Short Texts with Co-occurrence Frequency-Based Expansion. BRACIS 2016: 277-282 - [c49]Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Gisele L. Pappa:
Evolutionary rank aggregation for recommender systems. CEC 2016: 255-262 - [c48]Tiago Oliveira Cunha, Ingmar Weber, Hamed Haddadi, Gisele L. Pappa:
The Effect of Social Feedback in a Reddit Weight Loss Community. Digital Health 2016: 99-103 - [c47]Gianlucca L. Zuin, Yuri P. A. Macedo, Luiz Chaimowicz, Gisele L. Pappa:
Discovering Combos in Fighting Games with Evolutionary Algorithms. GECCO 2016: 277-284 - [c46]Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Gisele L. Pappa:
A Dispersion Operator for Geometric Semantic Genetic Programming. GECCO 2016: 773-780 - [c45]Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Gisele L. Pappa:
A Generic Framework for Building Dispersion Operators in the Semantic Space. GPTP 2016: 179-195 - [c44]Luiz Otávio Vilas Boas Oliveira, Luis Fernando Miranda, Gisele L. Pappa, Fernando E. B. Otero, Ricardo H. C. Takahashi:
Reducing Dimensionality to Improve Search in Semantic Genetic Programming. PPSN 2016: 375-385 - [i1]Tiago Oliveira Cunha, Ingmar Weber, Hamed Haddadi, Gisele L. Pappa:
The Effect of Social Feedback in a Reddit Weight Loss Community. CoRR abs/1602.07936 (2016) - 2015
- [j13]Sandro C. Izidoro, Raquel Cardoso de Melo Minardi, Gisele L. Pappa:
GASS: identifying enzyme active sites with genetic algorithms. Bioinform. 31(6): 864-870 (2015) - [j12]Ricardo Cerri, Gisele L. Pappa, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures. Comput. Intell. 31(1): 1-46 (2015) - [j11]Julio Albinati, Samuel E. L. Oliveira, Fernando E. B. Otero, Gisele L. Pappa:
An ant colony-based semi-supervised approach for learning classification rules. Swarm Intell. 9(4): 315-341 (2015) - [c43]Renato Miranda Filho, Jussara M. Almeida, Gisele L. Pappa:
Twitter Population Sample Bias and its impact on predictive outcomes: a case study on elections. ASONAM 2015: 1254-1261 - [c42]Julio Albinati, Gisele L. Pappa, Fernando E. B. Otero, Luiz Otávio Vilas Boas Oliveira:
The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems. EuroGP 2015: 3-15 - [c41]Sandro C. Izidoro, Anísio M. Lacerda, Gisele L. Pappa:
MeGASS: Multi-Objective Genetic Active Site Search. GECCO (Companion) 2015: 905-910 - [c40]Derick M. de Oliveira, Roberto C. S. N. P. Souza, Denise E. F. de Brito, Wagner Meira Jr., Gisele L. Pappa:
Uma Estratégia não Supervisionada para Previsão de Eventos usando Redes Sociais. SBBD 2015: 137-148 - 2014
- [j10]Gisele L. Pappa, Gabriela Ochoa, Matthew R. Hyde, Alex Alves Freitas, John R. Woodward, Jerry Swan:
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. Genet. Program. Evolvable Mach. 15(1): 3-35 (2014) - [c39]Paulo Viana Bicalho, Tiago de Oliveira Cunha, Fernando Henrique Jesus Mourão, Gisele Lobo Pappa, Wagner Meira Jr.:
Generating Cohesive Semantic Topics from Latent Factors. BRACIS 2014: 271-276 - [c38]Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Gisele L. Pappa, Julio Albinati:
Sequential Symbolic Regression with Genetic Programming. GPTP 2014: 73-90 - [c37]Roberto C. S. N. P. Souza, Denise E. F. de Brito, Rodrigo L. Cardoso, Derick M. de Oliveira, Wagner Meira Jr., Gisele L. Pappa:
An Evolutionary Methodology for Handling Data Scarcity and Noise in Monitoring Real Events from Social Media Data. IBERAMIA 2014: 295-306 - [c36]Alex Guimarães Cardoso de Sá, Gisele L. Pappa:
A Hyper-Heuristic Evolutionary Algorithm for Learning Bayesian Network Classifiers. IBERAMIA 2014: 430-442 - [c35]Renato Miranda Filho, Guilherme R. Borges, Jussara M. Almeida, Gisele L. Pappa:
Inferring User Social Class in Online Social Networks. SNAKDD 2014: 10:1-10:5 - [c34]Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Adriano César Machado Pereira:
Generating Personalized Algorithms to Learn Bayesian Network Classifiers for Fraud Detection in Web Transactions. WebMedia 2014: 179-186 - 2013
- [j9]Adolfo P. Guimarães, Thales F. Costa, Anísio Lacerda, Gisele L. Pappa, Nivio Ziviani:
GUARD: A Genetic Unified Approach for Recommendation. J. Inf. Data Manag. 4(3): 295-310 (2013) - [c33]Erica C. Rodrigues, Renato M. Assunção, Gisele L. Pappa, Renato Miranda, Wagner Meira Jr.:
Uncovering the Location of Twitter Users. BRACIS 2013: 237-241 - [c32]Angelo Ferreira Assis, Luiz Filipe Menezes Vieira, Marco Tulio Reis Rodrigues, Gisele Lobo Pappa:
A genetic algorithm for the minimum cost localization problem in wireless sensor networks. IEEE Congress on Evolutionary Computation 2013: 797-804 - [c31]Luiz Otávio Vilas Boas Oliveira, Isabela Neves Drummond, Gisele Lobo Pappa:
A new representation for instance-based clonal selection algorithms. IEEE Congress on Evolutionary Computation 2013: 2259-2266 - [c30]Alex Guimarães Cardoso de Sá, Gisele Lobo Pappa:
Towards a method for automatically evolving bayesian network classifiers. GECCO (Companion) 2013: 1505-1512 - 2012
- [j8]Alexandre W. C. Faria, David Menotti, Gisele L. Pappa, Daniel S. D. Lara, Arnaldo de Albuquerque Araújo:
A methodology for photometric validation in vehicles visual interactive systems. Expert Syst. Appl. 39(4): 4122-4134 (2012) - [c29]Marlos C. Machado, Gisele L. Pappa, Luiz Chaimowicz:
A binary classification approach for automatic preference modeling of virtual agents in Civilization IV. CIG 2012: 155-162 - [c28]Evellyn S. Cavalcante, André L. L. de Aquino, Gisele L. Pappa, Antonio Alfredo Ferreira Loureiro:
Roadside unit deployment for information dissemination in a VANET: an evolutionary approach. GECCO (Companion) 2012: 27-34 - [c27]Sílvio S. Ribeiro Jr., Clodoveu A. Davis Jr., Diogo Rennó Rocha de Oliveira, Wagner Meira Jr., Tatiana S. Gonçalves, Gisele L. Pappa:
Traffic observatory: a system to detect and locate traffic events and conditions using Twitter. LBSN@GIS 2012: 5-11 - [c26]Tiago Oliveira Cunha, Flávio G. H. de Souza, Arnaldo de Albuquerque Araújo, Gisele L. Pappa:
Rushes video summarization based on spatio-temporal features. SAC 2012: 45-50 - [c25]Sílvio S. Ribeiro Jr., Diogo Rennó, Tatiana S. Gonçalves, Clodoveu A. Davis Jr., Wagner Meira Jr., Gisele L. Pappa:
Observatório do Trânsito: sistema para detecção e localização de eventos de trânsito no Twitter. SBBD (Short Papers) 2012: 81-88 - [c24]Maria I. M. Sumbana, Allan J. C. Silva, Marcos André Gonçalves, Jussara M. Almeida, Gisele L. Pappa:
Seleção de Atributos Utilizando Algoritmos Genéticos para Detecção do Vandalismo na Wikipedia. SBBD (Short Papers) 2012: 209-216 - 2011
- [j7]Clodoveu A. Davis Jr., Gisele Lobo Pappa, Diogo Rennó Rocha de Oliveira, Filipe de Lima Arcanjo:
Inferring the Location of Twitter Messages Based on User Relationships. Trans. GIS 15(6): 735-751 (2011) - [c23]João Rafael De Moura Palotti, Thiago Salles, Gisele Lobo Pappa, Marcos André Gonçalves, Wagner Meira Jr.:
Assessing documents' credibility with genetic programming. IEEE Congress on Evolutionary Computation 2011: 200-207 - [c22]Zilton Cordeiro Junior, Gisele L. Pappa:
A PSO algorithm for improving multi-view classification. IEEE Congress on Evolutionary Computation 2011: 925-932 - [c21]Rafael V. Carvalho, Gustavo Brunoro, Gisele L. Pappa:
HCGA: A genetic algorithm for hierarchical classification. IEEE Congress on Evolutionary Computation 2011: 933-940 - [c20]Giovanni Comarela, Kênia Carolina Gonçalves, Gisele Lobo Pappa, Jussara M. Almeida, Virgílio A. F. Almeida:
Robot routing in sparse wireless sensor networks with continuous ant colony optimization. GECCO (Companion) 2011: 599-606 - [c19]Filipe de Lima Arcanjo, Gisele L. Pappa, Paulo Viana Bicalho, Wagner Meira Jr., Altigran Soares da Silva:
Semi-supervised genetic programming for classification. GECCO 2011: 1259-1266 - [c18]Julio Albinati, Igor Altissimo, Fernando Mourão, Gisele L. Pappa, Wagner Meira Jr.:
Unificação de Usuários em Redes Sociais. SBBD (Short Papers) 2011: 81-88 - 2010
- [j6]Gisele L. Pappa:
Michael Affenzeller, Stefan Wagner, Stephan Winkler and Andreas Beham: Genetic algorithms and genetic programming modern concepts and practical applications - CRC Press, 2009, 379 pp, ISBN 978-1584886297. Genet. Program. Evolvable Mach. 11(1): 123-125 (2010) - [j5]Thiago Salles, Leonardo Rocha, Fernando Mourão, Gisele L. Pappa, Lucas Cunha, Marcos André Gonçalves, Wagner Meira Jr.:
Automatic Document Classification Temporally Robust. J. Inf. Data Manag. 1(2): 199-212 (2010) - [j4]Hendrickson Reiter Langbehn, Saulo M. R. Ricci, Marcos André Gonçalves, Jussara M. Almeida, Gisele L. Pappa, Fabrício Benevenuto:
A Multi-view Approach for Detecting Non-Cooperative Users in Online Video Sharing Systems. J. Inf. Data Manag. 1(3): 313-328 (2010) - [j3]João R. M. Palotti, Thiago Salles, Gisele L. Pappa, Filipe de Lima Arcanjo, Marcos André Gonçalves, Wagner Meira Jr.:
Estimating the Credibility of Examples in Automatic Document Classification. J. Inf. Data Manag. 1(3): 439-454 (2010) - [c17]Iuri Bueno Drumond de Andrade, Tiago de Oliveira Januario, Gisele L. Pappa, Geraldo Robson Mateus:
An evolutionary algorithm to the Density Control, Coverage and Routing Multi-Period Problem in Wireless Sensor Networks. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c16]Junio de Freitas, Gisele L. Pappa, Altigran Soares da Silva, Marcos André Gonçalves, Edleno Silva de Moura, Adriano Veloso, Alberto H. F. Laender, Moisés G. de Carvalho:
Active Learning Genetic programming for record deduplication. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c15]Elisa Boari de Lima, Gisele L. Pappa, Jussara Marques de Almeida, Marcos André Gonçalves, Wagner Meira Jr.:
Tuning Genetic Programming parameters with factorial designs. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c14]Fabiano Muniz Belém, Eder Ferreira Martins, Jussara Marques de Almeida, Marcos André Gonçalves, Gisele L. Pappa:
Exploiting co-occurrence and information quality metrics to recommend tags in web 2.0 applications. CIKM 2010: 1793-1796 - [c13]Eduardo S. Ogasawara, Leonardo C. Martinez, Daniel de Oliveira, Geraldo Zimbrão, Gisele L. Pappa, Marta Mattoso:
Adaptive Normalization: A novel data normalization approach for non-stationary time series. IJCNN 2010: 1-8 - [c12]Guilherme Vale Menezes, Jussara M. Almeida, Fabiano Belém, Marcos André Gonçalves, Anísio Lacerda, Edleno Silva de Moura, Gisele L. Pappa, Adriano Veloso, Nivio Ziviani:
Demand-Driven Tag Recommendation. ECML/PKDD (2) 2010: 402-417 - [c11]Alexandre W. C. Faria, David Menotti, Daniel S. D. Lara, Gisele L. Pappa, Arnaldo de Albuquerque Araújo:
A new methodology for photometric validation in vehicles visual interactive systems. SAC 2010: 948-953 - [c10]Zilton Cordeiro Junior, Gisele L. Pappa, Filipe de Lima Arcanjo, Wagner Meira Jr.:
Combinando Multi-Visões através de um Algoritmo de Nuvens de Partículas. SBBD (Posters) 2010: 5:1-5:8 - [c9]Thiago Salles, Leonardo Rocha, Gisele L. Pappa, Fernando Mourão, Wagner Meira Jr., Marcos André Gonçalves:
Temporally-aware algorithms for document classification. SIGIR 2010: 307-314 - [p2]Gisele L. Pappa, Alex Alves Freitas:
Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms. Advances in Machine Learning I 2010: 257-273
2000 – 2009
- 2009
- [j2]Gisele L. Pappa, Alex Alves Freitas:
Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins. Intell. Data Anal. 13(2): 243-259 (2009) - [j1]Gisele L. Pappa, Alex Alves Freitas:
Evolving rule induction algorithms with multi-objective grammar-based genetic programming. Knowl. Inf. Syst. 19(3): 283-309 (2009) - [c8]Leonardo C. Martinez, Diego N. da Hora, João R. M. Palotti, Wagner Meira Jr., Gisele L. Pappa:
From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA. IJCNN 2009: 2006-2013 - [c7]Waister Silva Martins, Marcos André Gonçalves, Alberto H. F. Laender, Gisele L. Pappa:
Learning to assess the quality of scientific conferences: a case study in computer science. JCDL 2009: 193-202 - [c6]Bianca Zadrozny, Gisele L. Pappa, Wagner Meira Jr., Marcos André Gonçalves, Leonardo Rocha, Thiago Salles:
Exploiting contexts to deal with uncertainty in classification. KDD Workshop on Knowledge Discovery from Uncertain Data 2009: 19-22 - [c5]Thiago Salles, Leonardo Rocha, Gisele L. Pappa, Fernando Mourão, Marcos André Gonçalves, Wagner Meira Jr.:
Classificação Automática de Documentos Robusta Temporalmente. SBBD 2009: 106-119 - [r1]Alex Alves Freitas, Gisele L. Pappa:
Genetic Programming for Automatically Constructing Data Mining Algorithms. Encyclopedia of Data Warehousing and Mining 2009: 932-936 - 2008
- [p1]Gisele L. Pappa, Alex Alves Freitas:
Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming. Soft Computing for Knowledge Discovery and Data Mining 2008: 133-152 - 2007
- [b1]Gisele Lobo Pappa:
Automatically evolving rule induction algorithms with grammar-based genetic programming. University of Kent, UK, 2007 - 2006
- [c4]Gisele L. Pappa, Alex Alves Freitas:
Automatically Evolving Rule Induction Algorithms. ECML 2006: 341-352 - 2005
- [c3]Gisele L. Pappa, Anthony J. Baines, Alex Alves Freitas:
Predicting post-synaptic activity in proteins with data mining. ECCB/JBI 2005: 25 - 2004
- [c2]Carlos Nascimento Silla Jr., Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner:
Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection. IBERAMIA 2004: 305-314 - 2002
- [c1]Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner:
Attribute Selection with a Multi-objective Genetic Algorithm. SBIA 2002: 280-290
Coauthor Index
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
Anísio Lacerda
aka: Anísio M. Lacerda
aka: Anísio M. Lacerda
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