default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAndré C. P. L. F. de Carvalho
André Carlos Ponce de Leon Ferreira de Carvalho
Person information
- affiliation: University of São Paulo, Department of Computer Science, Brazil
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j167]Rafael Gomes Mantovani, Tomás Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren
, André C. P. L. F. de Carvalho:
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Min. Knowl. Discov. 38(3): 1364-1416 (2024)- [j166]Douglas Donizeti de Castilho Braz, Moisés Rocha dos Santos, Marcos Basile Saviano de Paula, Donato da Silva Filho, Ewerton Guarnier, Lucas Penido Alípio, Renato Tinós, André C. P. L. F. de Carvalho:
Multi-source data ensemble for energy price trend forecasting. Eng. Appl. Artif. Intell. 133: 108125 (2024) - [j165]Fernanda Tostes Marana, Renato da Silva Fernandes, Jorge Luis Bazán Guzmán, André Carlos Ponce de Leon Ferreira de Carvalho, Mariana Curi:
What rating they will probably give: A cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Syst. Appl. 245: 122981 (2024) - [j164]Saulo Martiello Mastelini, Bruno Veloso, Max Halford, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
SWINN: Efficient nearest neighbor search in sliding windows using graphs. Inf. Fusion 101: 101979 (2024) - [j163]Pedro B. Pio, Adriano Rivolli, André C. P. L. F. de Carvalho, Luís Paulo F. Garcia:
A review on preprocessing algorithm selection with meta-learning. Knowl. Inf. Syst. 66(1): 1-28 (2024) - [j162]Douglas Castilho, Thársis T. P. Souza, Soong Moon Kang, João Gama, André C. P. L. F. de Carvalho:
Forecasting financial market structure from network features using machine learning. Knowl. Inf. Syst. 66(8): 4497-4525 (2024) - [c215]Arnaldo Vitor Barros da Silva, Cristina Saldivia-Siracusa, Eduardo Santos Carlos de Souza, Anna Luíza Damaceno Araújo, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Luiz Paulo Kowalski, Alan Roger Santos-Silva, André C. P. L. F. de Carvalho, Marcos G. Quiles:
Enhancing Explainability in Oral Cancer Detection with Grad-CAM Visualizations. ICCSA (1) 2024: 151-164 - [c214]Luis Eduardo Pelin Cardoso, André C. P. L. F. de Carvalho, Marcos G. Quiles:
Applying LSTM Recurrent Neural Networks to Predict Revenue. ICCSA (2) 2024: 198-212 - [c213]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 - [c212]Diany Pressato, Pedro Lucas Castro de Andrade, Flávio Rocha Junior, Felipe Alves Siqueira, Ellen Polliana Ramos Souza, Nádia Félix Felipe da Silva, Márcio de Souza Dias, André Carlos Ponce de Leon Ferreira de Carvalho:
Natural Language Processing Application in Legislative Activity: a Case Study of Similar Amendments in the Brazilian Senate. PROPOR 2024: 614-619 - [c211]Angelo G. Menezes, Augusto J. Peterlevitz, Mateus A. Chinelatto, André C. P. L. F. de Carvalho:
Efficient Parameter Mining and Freezing for Continual Object Detection. VISIGRAPP (2): VISAPP 2024: 466-474 - [i32]Angelo G. Menezes, Augusto J. Peterlevitz, Mateus A. Chinelatto, André C. P. L. F. de Carvalho:
Efficient Parameter Mining and Freezing for Continual Object Detection. CoRR abs/2402.12624 (2024) - [i31]Iury Batista de Andrade Santos, André C. P. L. F. de Carvalho:
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging. CoRR abs/2404.04736 (2024) - 2023
- [j161]Tomás Horváth, Rafael G. Mantovani, André C. P. L. F. de Carvalho:
Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features. Appl. Soft Comput. 134: 109969 (2023) - [j160]Gean Trindade Pereira, Iury Batista de Andrade Santos, Luís Paulo F. Garcia, Thierry Urruty, Muriel Visani, André C. P. L. F. de Carvalho:
Neural architecture search with interpretable meta-features and fast predictors. Inf. Sci. 649: 119642 (2023) - [j159]Angelo G. Menezes, Gustavo de Moura, Cézanne Alves, André C. P. L. F. de Carvalho:
Continual Object Detection: A review of definitions, strategies, and challenges. Neural Networks 161: 476-493 (2023) - [j158]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) - [j157]Saulo Martiello Mastelini, Felipe Kenji Nakano, Celine Vens, André Carlos Ponce de Leon Ferreira de Carvalho:
Online Extra Trees Regressor. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6755-6767 (2023) - [c210]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 - [c209]Davi Pereira-Santos, Tácito Trindade de Araújo Tiburtino Neves, André C. P. L. F. de Carvalho, Fernando V. Paulovich:
Nonparametric Dimensionality Reduction Quality Assessment based on Sortedness of Unrestricted Neighborhood. EuroVA@EuroVis 2023: 31-36 - [c208]Fernanda A. Melo, André C. P. L. F. de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia:
Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection. HAIS 2023: 51-62 - [c207]Daniela L. Freire, Alex Marino Gonçalves de Almeida, Márcio de Souza Dias, Adriano Rivolli, Fabíola S. F. Pereira, Giliard Almeida de Godoi, André C. P. L. F. de Carvalho:
Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification. HAIS 2023: 108-120 - [c206]Thiago Ambiel, Douglas Castilho, André C. P. L. F. de Carvalho:
The Strength of Influence Ties in Stock Networks: Empirical Analysis for Portfolio Selection. ICDM (Workshops) 2023: 456-464 - [c205]Daniela L. Freire, Alex Marino Gonçalves de Almeida, Márcio de Souza Dias, Adriano Rivolli, Fabíola S. F. Pereira, Giliard Almeida de Godoi, André C. P. L. F. de Carvalho:
Threshold-Based Classification to Enhance Confidence in Open Set of Legal Texts. IDEAL 2023: 269-280 - [c204]Douglas Castilho, Moisés R. Santos, Renato Tinós, André C. P. L. F. de Carvalho, Marcos B. S. Paula, Lucas Ladeira, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Antonio Carlos De Oliveira Júnior, Lucas Penido Alípio:
Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets. IJCNN 2023: 1-9 - [i30]Moisés Rocha dos Santos, André C. P. L. F. de Carvalho, Carlos Soares:
tsMorph: generation of semi-synthetic time series to understand algorithm performance. CoRR abs/2312.01344 (2023) - 2022
- [j156]Robson Bonidia, Douglas Silva Domingues, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho:
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors. Briefings Bioinform. 23(1) (2022) - [j155]Robson Bonidia, Anderson P. Avila-Santos, Breno Lívio Silva de Almeida, Peter F. Stadler, Ulisses Nunes da Rocha, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho:
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings Bioinform. 23(4) (2022) - [j154]Robson Parmezan Bonidia, Anderson P. Avila-Santos, Breno Lívio Silva de Almeida, Peter F. Stadler, Ulisses Nunes da Rocha, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho:
Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy. Entropy 24(10): 1398 (2022) - [j153]Gabriel Jonas Aguiar, Everton José Santana, André C. P. L. F. de Carvalho, Sylvio Barbon Junior:
Using meta-learning for multi-target regression. Inf. Sci. 584: 665-684 (2022) - [j152]Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Meta-features for meta-learning. Knowl. Based Syst. 240: 108101 (2022) - [c203]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 - [c202]Daniela L. Freire, André Carlos Ponce de Leon Ferreira de Carvalho, Leonardo Carneiro Feltran, Lara Ayumi Nagamatsu, Kelly Cristina Ramos da Silva, Claudemir Firmino, João Eduardo Ferreira, Pedro Losco Takecian, Danilo Carlotti, Francisco Antonio Cavalcanti Lima, Roberto Mendes Portela:
Content-Based Lawsuits Document Image Retrieval. EPIA 2022: 29-40 - [c201]Daniela L. Freire, André Carlos Ponce de Leon Ferreira de Carvalho, Leonardo Carneiro Feltran, Lara Ayumi Nagamatsu, Kelly Cristina Ramos da Silva, Claudemir Firmino, João Eduardo Ferreira, Pedro Losco Takecian, Danilo Carlotti, Francisco Antonio Cavalcanti Lima, Roberto Mendes Portela:
Lawsuits Document Images Processing Classification. EPIA 2022: 41-52 - [c200]Dyonnatan Ferreira Maia, Nádia Félix F. da Silva, Ellen Polliana Ramos Souza, Augusto Sousa Nunes, Lucas C. Procópio, Guthemberg da S. Sampaio, Márcio de Souza Dias, Adrio O. Alves, Dyéssica F. Maia, Ingrid A. Ribeiro, Fabíola S. F. Pereira, André C. P. L. F. de Carvalho:
UlyssesSD-Br: Stance Detection in Brazilian Political Polls. EPIA 2022: 85-95 - [c199]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 - [c198]Moisés R. Santos, Douglas Donizeti de Castilho Braz, André C. P. L. F. de Carvalho, Renato Tinós, Marcos B. S. Paula, Gabriel Doretto, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Lorena E. Ferreira, José E. Carmo Júnior:
Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market. LA-CCI 2022: 1-6 - [c197]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 - [i29]Angelo G. Menezes, Gustavo de Moura, Cézanne Alves, André C. P. L. F. de Carvalho:
Continual Object Detection: A review of definitions, strategies, and challenges. CoRR abs/2205.15445 (2022) - [i28]Adrian El Baz, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Shell Hu, Frank Hutter, Zhengying Liu, Felix Mohr, Jan N. van Rijn, Xin Wang, Isabelle Guyon:
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR abs/2206.08138 (2022) - [i27]Marília Costa Rosendo Silva, Felipe Alves Siqueira, João Pedro Mantovani Tarrega, João Vitor Pataca Beinotti, Augusto Sousa Nunes, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, Nádia Félix Felipe da Silva, André Carlos Ponce de Leon Ferreira de Carvalho:
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling. CoRR abs/2208.01712 (2022) - [i26]Gilson Y. Shimizu, Rafael Izbicki, André C. P. L. F. de Carvalho:
Model interpretation using improved local regression with variable importance. CoRR abs/2209.05371 (2022) - [i25]Luiz Fernando Silva Eugênio dos Santos, Claus Aranha, André Carlos Ponce de Leon Ferreira de Carvalho:
An agent-based approach to procedural city generation incorporating Land Use and Transport Interaction models. CoRR abs/2211.01959 (2022) - 2021
- [j151]Robson Bonidia, Lucas Dias H. Sampaio, Douglas Silva Domingues, Alexandre Rossi Paschoal, Fabrício Martins Lopes, André C. P. L. F. de Carvalho, Danilo Sipoli Sanches:
Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings Bioinform. 22(5) (2021) - [j150]Victor Alexandre Padilha, Omer S. Alkhnbashi, Van Dinh Tran, Shiraz A. Shah, André C. P. L. F. de Carvalho, Rolf Backofen:
Casboundary: automated definition of integral Cas cassettes. Bioinform. 37(10): 1352-1359 (2021) - [j149]Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, Sihem Amer-Yahia, José F. Rodrigues Jr.:
DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage. Comput. Electron. Agric. 180: 105906 (2021) - [j148]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) - [j147]Kelly C. Ramos Da Silva, Helder L. Costa De Oliveira, André C. P. L. F. de Carvalho:
Performance evaluation of outlier rules for labelling outliers in multidimensional dataset. Int. J. Bus. Intell. Data Min. 19(2): 135-152 (2021) - [j146]Kemilly Dearo Garcia, Cláudio Rebelo de Sá, Mannes Poel, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho, Joost N. Kok:
An ensemble of autonomous auto-encoders for human activity recognition. Neurocomputing 439: 271-280 (2021) - [j145]Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Assessing the data complexity of imbalanced datasets. Inf. Sci. 553: 83-109 (2021) - [j144]André Luis Debiaso Rossi, Carlos Soares, Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho:
Micro-MetaStream: Algorithm selection for time-changing data. Inf. Sci. 565: 262-277 (2021) - [j143]Michel C. Meneses, Leonardo N. Matos, Bruno O. Prado, André Carlos Ponce de Leon Ferreira de Carvalho, Hendrik Teixeira Macedo:
SmartSORT: an MLP-based method for tracking multiple objects in real-time. J. Real Time Image Process. 18(3): 913-921 (2021) - [j142]Jonas Coelho Kasmanas, Alexander Bartholomäus, Felipe Borim Corrêa, Tamara L. Tal, Nico Jehmlich, Gunda Herberth, Martin von Bergen, Peter F. Stadler, André Carlos Ponce de Leon Ferreira de Carvalho, Ulisses Nunes da Rocha:
HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes. Nucleic Acids Res. 49(Database-Issue): D743-D750 (2021) - [j141]Omer S. Alkhnbashi, Alexander Mitrofanov, Robson Bonidia, Martin Raden, Van Dinh Tran, Florian Eggenhofer, Shiraz A. Shah, Ekrem Öztürk, Victor Alexandre Padilha, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho, Rolf Backofen:
CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems. Nucleic Acids Res. 49(Webserver-Issue): 125-130 (2021) - [j140]André Carlos Ponce de Leon Ferreira de Carvalho, Anne Magály de Paula Canuto, Graçaliz Pereira Dimuro:
Preface. Nat. Comput. 20(4): 751-752 (2021) - [j139]Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho:
Using dynamical quantization to perform split attempts in online tree regressors. Pattern Recognit. Lett. 145: 37-42 (2021) - [c196]Nádia Félix F. da Silva, Marília Costa R. Silva, Fabíola S. F. Pereira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio Fonseca, Francisco Edmundo de Andrade, André C. P. L. F. de Carvalho:
Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil's Chamber of Deputies. BRACIS (2) 2021: 104-120 - [c195]Luís Paulo F. Garcia, Felipe Campelo, Guilherme Novaes Ramos, Adriano Rivolli, André C. P. L. F. de Carvalho:
Evaluating Clustering Meta-features for Classifier Recommendation. BRACIS (1) 2021: 453-467 - [c194]Dino Ienco, Davi Pereira dos Santos, André C. P. L. F. de Carvalho:
Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes. ICANN (5) 2021: 126-137 - [c193]Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho:
Time-Series in Hyper-parameter Initialization of Machine Learning Techniques. IDEAL 2021: 246-258 - [c192]Gabriel Dalforno Silvestre, Moisés Rocha dos Santos, André C. P. L. F. de Carvalho:
Seasonal-Trend decomposition based on Loess + Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series. IJCNN 2021: 1-7 - [c191]Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho:
Fast and lightweight binary and multi-branch Hoeffding Tree Regressors. ICDM (Workshops) 2021: 380-388 - [c190]Adriano Rivolli, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
A Study of the Correlation of Metafeatures Used for Metalearning. IWANN (1) 2021: 471-483 - [c189]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 - [c188]Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu:
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) 2021: 80-96 - [c187]Breno Lívio Silva de Almeida, Alvaro Pedroso Queiroz, Anderson Paulo Avila Santos, Robson Parmezan Bonidia, Ulisses Nunes da Rocha, Danilo Sipoli Sanches, André Carlos Ponce de Leon Ferreira de Carvalho:
Feature Importance Analysis of Non-coding DNA/RNA Sequences Based on Machine Learning Approaches. BSB 2021: 81-92 - [c186]João Pedro Uchôa Cavalcante, Anderson Cardoso Gonçalves, Robson Parmezan Bonidia, Danilo Sipoli Sanches, André Carlos Ponce de Leon Ferreira de Carvalho:
MathPIP: Classification of Proinflammatory Peptides Using Mathematical Descriptors. BSB 2021: 131-136 - [i24]Kleber Padovani de Souza, Roberto Xavier, André C. P. L. F. de Carvalho, Anna Reali, Annie Chateau, Ronnie Alves:
Towards a reinforcement learning de novo genome assembler. CoRR abs/2102.02649 (2021) - [i23]Geand Trindade Pereira, Moisés Rocha dos Santos, André Carlos Ponce de Leon Ferreira de Carvalho:
Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem. CoRR abs/2106.03954 (2021) - [i22]Davi Pereira-Santos, Gabriel Dalforno, André C. P. L. F. de Carvalho:
Predictable universally unique identification of sequential events on complex objects. CoRR abs/2109.06028 (2021) - [i21]Douglas Castilho, Thársis Tuani Pinto Souza, Soong Moon Kang, João Gama, André C. P. L. F. de Carvalho:
Forecasting Financial Market Structure from Network Features using Machine Learning. CoRR abs/2110.11751 (2021) - 2020
- [j138]Evelin Helena Silva Cardoso, Marcelino Silva da Silva, Francisco Eguinaldo De Albuquerque Félix Júnior, Solon Venâncio de Carvalho, André Carlos Ponce de Leon Ferreira de Carvalho, Nandamudi Vijaykumar, Carlos Renato Lisboa Francês:
Characterizing the Impact of Social Inequality on COVID-19 Propagation in Developing Countries. IEEE Access 8: 172563-172580 (2020) - [j137]Robson Parmezan Bonidia, Jaqueline Sayuri Machida, Tatianne da Costa Negri, Wonder Alexandre Luz Alves, André Y. Kashiwabara, Douglas Silva Domingues, André C. P. L. F. de Carvalho, Alexandre Rossi Paschoal, Danilo Sipoli Sanches:
A Novel Decomposing Model With Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs. IEEE Access 8: 181683-181697 (2020) - [j136]Luís Paulo F. Garcia, Adriano Rivolli, Edesio Alcobaça, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Boosting meta-learning with simulated data complexity measures. Intell. Data Anal. 24(5): 1011-1028 (2020) - [j135]Edesio Alcobaça, Felipe Siqueira, Adriano Rivolli, Luís Paulo F. Garcia, Jefferson Tales Oliva, André C. P. L. F. de Carvalho:
MFE: Towards reproducible meta-feature extraction. J. Mach. Learn. Res. 21: 111:1-111:5 (2020) - [j134]Bruno Almeida Pimentel, André C. P. L. F. de Carvalho:
A Meta-learning approach for recommending the number of clusters for clustering algorithms. Knowl. Based Syst. 195: 105682 (2020) - [j133]Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho:
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Mach. Learn. 109(8): 1509-1563 (2020) - [j132]Leandro Y. Mano, Bruno S. Faiçal, Vinícius P. Gonçalves, Gustavo Pessin, Pedro Henrique Gomes, André C. P. L. F. de Carvalho, Jó Ueyama:
An intelligent and generic approach for detecting human emotions: a case study with facial expressions. Soft Comput. 24(11): 8467-8479 (2020) - [j131]Everlandio R. Q. Fernandes, André C. P. L. F. de Carvalho, Xin Yao:
Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data. IEEE Trans. Knowl. Data Eng. 32(6): 1104-1115 (2020) - [c185]Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho:
2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors. BRACIS (2) 2020: 337-351 - [c184]Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho:
Simulating Complexity Measures on Imbalanced Datasets. BRACIS (2) 2020: 498-512 - [c183]Moisés Rocha dos Santos, Leandro Resende Mundim, André C. P. L. F. de Carvalho:
Evaluation of Error Metrics for Meta-learning Label Definition in the Forecasting Task. HAIS 2020: 397-409 - [c182]Jorge Francisco Cutigi, Renato Feijo Evangelista, Rodrigo Henrique Ramos, Cynthia de Oliveira Lage Ferreira, Adriane Feijo Evangelista, André C. P. L. F. de Carvalho, Adenilso Simão:
Combining Mutation and Gene Network Data in a Machine Learning Approach for False-Positive Cancer Driver Gene Discovery. BSB 2020: 81-92 - [i20]Michel C. Meneses, Leonardo N. Matos, Bruno O. Prado, André Carlos Ponce de Leon Ferreira de Carvalho, Hendrik T. Macedo:
Learning to associate detections for real-time multiple object tracking. CoRR abs/2007.06041 (2020) - [i19]Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Jadson Castro Gertrudes, Sylvio Barbon Junior, André Carlos Ponce de Leon Ferreira de Carvalho:
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters. CoRR abs/2008.00025 (2020) - [i18]Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Sihem Amer-Yahia:
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods. CoRR abs/2009.00453 (2020) - [i17]Tiago Botari, Frederik Hvilshøj, Rafael Izbicki, André C. P. L. F. de Carvalho:
MeLIME: Meaningful Local Explanation for Machine Learning Models. CoRR abs/2009.05818 (2020) - [i16]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) - [i15]Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho:
Using dynamical quantization to perform split attempts in online tree regressors. CoRR abs/2012.00083 (2020)
2010 – 2019
- 2019
- [j130]Ricardo Cerri, Márcio P. Basgalupp, Rodrigo C. Barros, André C. P. L. F. de Carvalho:
Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms. Appl. Soft Comput. 77: 584-604 (2019) - [j129]Victor Alexandre Padilha, André Carlos Ponce de Leon Ferreira de Carvalho:
Experimental correlation analysis of bicluster coherence measures and gene ontology information. Appl. Soft Comput. 85 (2019) - [j128]Kleber Padovani de Souza, João Carlos Setubal, André Carlos Ponce de Leon Ferreira de Carvalho, Guilherme Oliveira, Annie Chateau, Ronnie Alves:
Machine learning meets genome assembly. Briefings Bioinform. 20(6): 2116-2129 (2019) - [j127]Paulo Henrique Pisani, Abir Mhenni, Romain Giot, Estelle Cherrier, Norman Poh, André Carlos Ponce de Leon Ferreira de Carvalho, Christophe Rosenberger, Najoua Essoukri Ben Amara:
Adaptive Biometric Systems: Review and Perspectives. ACM Comput. Surv. 52(5): 102:1-102:38 (2019) - [j126]Marios M. Polycarpou, André Carlos Ponce de Leon Ferreira de Carvalho, Jeng-Shyang Pan, Michal Wozniak, Héctor Quintián, Emilio Corchado:
Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 326-327: 1-2 (2019) - [j125]Davi Pereira dos Santos, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho:
Empirical investigation of active learning strategies. Neurocomputing 326-327: 15-27 (2019) - [j124]Bruno Almeida Pimentel, André C. P. L. F. de Carvalho:
A new data characterization for selecting clustering algorithms using meta-learning. Inf. Sci. 477: 203-219 (2019) - [j123]Everlandio R. Q. Fernandes, André C. P. L. F. de Carvalho:
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Inf. Sci. 494: 141-154 (2019) - [j122]Rafael Gomes Mantovani, André L. D. Rossi, Edesio Alcobaça, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers. Inf. Sci. 501: 193-221 (2019) - [j121]Luís Paulo F. Garcia, Jens Lehmann, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
New label noise injection methods for the evaluation of noise filters. Knowl. Based Syst. 163: 693-704 (2019) - [j120]Gean Trindade Pereira, André C. P. L. F. de Carvalho:
Bringing robustness against adversarial attacks. Nat. Mach. Intell. 1(11): 499-500 (2019) - [j119]Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Gabriel F. C. Campos, Sylvio Barbon Junior:
A meta-learning approach for selecting image segmentation algorithm. Pattern Recognit. Lett. 128: 480-487 (2019) - [c181]Renny Márquez, Richard Weber, André C. P. L. F. de Carvalho:
A non-negative matrix factorization approach to update communities in temporal networks using node features. ASONAM 2019: 728-732 - [c180]Victor Guilherme Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon:
Online Local Boosting: Improving Performance in Online Decision Trees. BRACIS