André C. P. L. F. de Carvalho

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 147

Top Venues

Publications

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) (2024)
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 (2023)
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 (2023)
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 (2023)
Daniela L. Freire, Alex M. G. 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)
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)
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)
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 (2023)
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 (2023)
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 P. Alipio
Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets. IJCNN (2023)
Daniela L. Freire, Alex M. G. 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)
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)
Anísio Lacerda, Claudio Almeida, André C. P. L. F. de Carvalho, Adriano C. M. Pereira, Gisele L. Pappa, Wagner Meira Jr., Débora M. Miranda, Marco A. Romano-Silva, Leandro Malloy Diniz
Algorithmic Recourse in Mental Healthcare. IJCNN (2023)
Moisés R. Santos, Douglas D. C. 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)
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 (2022)
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 (2022)
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 (2022)
Dyonnatan Ferreira Maia, Nádia Félix F. da Silva, Ellen Polliana Ramos Souza, Augusto Sousa Nunes, Lucas C. Procópio, Guthemberg da S. Sampaio, Márcio de S. 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)
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)
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 (2022)
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)
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)
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, Marcio 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)
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) (2022)
Douglas Castilho, Tharsis 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. CoRR (2021)
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) (2021)
Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho
Time-Series in Hyper-parameter Initialization of Machine Learning Techniques. IDEAL (2021)
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)
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 (2021)
Luís Paulo F. Garcia, Felipe Campelo, Guilherme N. Ramos, Adriano Rivolli, André C. P. L. F. de Carvalho
Evaluating Clustering Meta-features for Classifier Recommendation. BRACIS (1) (2021)
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 (2021)
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)
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) (2021)
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)
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 O. Albuquerque, Adriano L. I. Oliveira
An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies. JURIX (2021)
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) (2021)
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 (2021)
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)
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 (2021)
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)
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)
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) (2021)
Davi Pereira-Santos, Gabriel Dalforno, André C. P. L. F. de Carvalho
Predictable universally unique identification of sequential events on complex objects. CoRR (2021)
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)
Tiago Botari, Frederik Hvilshøj, Rafael Izbicki, André C. P. L. F. de Carvalho
MeLIME: Meaningful Local Explanation for Machine Learning Models. CoRR (2020)
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) (2020)
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) (2020)
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 (2020)
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 (2020)
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) (2020)
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 (2020)
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 (2020)
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 (2020)
Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho
Simulating Complexity Measures on Imbalanced Datasets. BRACIS (2) (2020)
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)
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)
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) (2020)
Gabriel Spadon, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Luiz G. A. Alves
Reconstructing commuters network using machine learning and urban indicators. CoRR (2019)
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 (2019)
Bruno Almeida Pimentel, André C. P. L. F. de Carvalho
Unsupervised Meta-Learning for Clustering Algorithm Recommendation. IJCNN (2019)
Gean Trindade Pereira, Moisés Rocha dos Santos, Edesio Alcobaça, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho
Transfer Learning for Algorithm Recommendation. CoRR (2019)
Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, Luiz Antonio Nogueira Lorena, André C. P. L. F. de Carvalho, Juliana Garcia Cespedes
Qualitative data clustering: a new Integer Linear Programming model. IJCNN (2019)
Luciano C. M. Andrade, André C. P. L. F. de Carvalho
Fraud Detection Using Explainable Machine Learning Algorithms. MLDM (1) (2019)
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 (2019)
Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho
The Influence of Sampling on Imbalanced Data Classification. BRACIS (2019)
Kemilly Dearo Garcia, Mannes Poel, Joost N. Kok, André C. P. L. F. de Carvalho
Online Clustering for Novelty Detection and Concept Drift in Data Streams. EPIA (2) (2019)
Bruno Almeida Pimentel, André C. P. L. F. de Carvalho
A new data characterization for selecting clustering algorithms using meta-learning. Inf. Sci. 477 (2019)
Tiago Botari, Rafael Izbicki, André C. P. L. F. de Carvalho
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space. PKDD/ECML Workshops (1) (2019)
Gean Trindade Pereira, André C. P. L. F. de Carvalho
Bringing robustness against adversarial attacks. Nat. Mach. Intell. 1 (11) (2019)
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 (2019)
Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cláudio Rebelo de Sá, João Mendes-Moreira, Charu C. Aggarwal, André C. P. L. F. de Carvalho, Joost N. Kok
Ensemble Clustering for Novelty Detection in Data Streams. DS (2019)
Fabíola S. F. Pereira, Thiago Andrade, André C. P. L. F. de Carvalho
Gradient Boosting Machine and LSTM Network for Online Harassment Detection and Categorization in Social Media. PKDD/ECML Workshops (2) (2019)
Kemilly Dearo Garcia, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho
A Study on Hyperparameter Configuration for Human Activity Recognition. SOCO (2019)
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 (2019)
Fabíola S. F. Pereira, André C. P. L. F. de Carvalho, Rafael Assis, Maxley Costa, Elaine R. Faria, Rita Maria da Silva Julia, Umberto Barcelos, Jony Melo
Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry. EPIA (2) (2019)
Douglas Castilho, João Gama, Leandro Resende Mundim, André C. P. L. F. de Carvalho
Improving Portfolio Optimization Using Weighted Link Prediction in Dynamic Stock Networks. ICCS (3) (2019)
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)
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 (2019)
Tiago Botari, Rafael Izbicki, André C. P. L. F. de Carvalho
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space. CoRR (2019)
Pablo García Bringas, André C. P. L. F. de Carvalho, Ajith Abraham, Álvaro Herrero, Héctor Quintián, Emilio Corchado
Special issue SOCO 2014: Recent advancements in soft computing and its application in industrial and environmental problems. Neurocomputing 271 (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
CF4CF: recommending collaborative filtering algorithms using collaborative filtering. RecSys (2018)
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Data Complexity Measures for Imbalanced Classification Tasks. IJCNN (2018)
Bruno Almeida Pimentel, André C. P. L. F. de Carvalho
Statistical versus Distance-Based Meta-Features for Clustering Algorithm recommendation Using Meta-Learning. IJCNN (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework. DS (2018)
Lucas D. Ferreira, Gabriel Spadon, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.
A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques. FIE (2018)
Adriano Rivolli, André C. P. L. F. de Carvalho
The utiml Package: Multi-label Classification in R. R J. 10 (2) (2018)
Adriano Rivolli, Carlos Soares, André C. P. L. F. de Carvalho
Label Expansion for Multi-label Classification. BRACIS (2018)
Ricardo Cerri, Rafael Gomes Mantovani, Márcio P. Basgalupp, André C. P. L. F. de Carvalho
Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. IJCNN (2018)
Bruno C. Kümmel, André C. P. L. F. de Carvalho, Marcelo M. Brigido, Célia Ghedini Ralha, Maria Emília M. T. Walter
S^2FS : Single Score Feature Selection Applied to the Problem of Distinguishing Long Non-coding RNAs from Protein Coding Transcripts. BSB (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
cf2vec: Collaborative Filtering algorithm selection using graph distributed representations. CoRR (2018)
Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Adaptive Biometric Systems using Ensembles. IEEE Intell. Syst. 33 (2) (2018)
Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Sylvio Barbon
Making Data Stream Classification Tree-Based Ensembles Lighter. BRACIS (2018)
Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho
Towards Reproducible Empirical Research in Meta-Learning. CoRR (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
A label ranking approach for selecting rankings of collaborative filtering algorithms. SAC (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering. Inf. Sci. 423 (2018)
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
CF4CF: Recommending Collaborative Filtering algorithms using Collaborative Filtering. CoRR (2018)
Kemilly Dearo Garcia, André C. P. L. F. de Carvalho, João Mendes-Moreira
A Cluster-Based Prototype Reduction for Online Classification. IDEAL (1) (2018)
Alberto Verdecia-Cabrera, Isvani Inocencio Frías Blanco, André C. P. L. F. de Carvalho
An online adaptive classifier ensemble for mining non-stationary data streams. Intell. Data Anal. 22 (4) (2018)
Kemilly Dearo Garcia, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho
A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition. CoRR (2018)
Paulo Barbosa, Kemilly Dearo Garcia, João Mendes-Moreira, André C. P. L. F. de Carvalho
Unsupervised Domain Adaptation for Human Activity Recognition. IDEAL (1) (2018)

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André C. P. L. F. de Carvalho