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1. CIRINO, CAROLINA; GOBATTO, CLAUDIO A.; PINTO, ALLAN S.; TORRES, RICARDO S; HARTZ, CHARLINI S.; AZEVEDO, PAULO H. S. M.; MORENO, MARLENE A.; AND MANCHADO-GOBATTO, FÚLVIA B. Complex network model indicates a positive effect of inspiratory muscles pre-activation on performance parameters in a judo match. Scientific Reports, 11(1):11148, May 2021.

2. DELAFIORI, JEANY; NAVARRO, LUIZ CLÁUDIO; SICILIANO, RINALDO FOCACCIA; DE MELO, GISELY CARDOSO; BUSANELLO, ESTELA NATACHA BRANDT; NICOLAU, JOSÉ CARLOS; SALES, GEOVANA MANZAN; DE OLIVEIRA, ARTHUR NOIN; VAL, FERNANDO FONSECA ALMEIDA; DE OLIVEIRA, DIOGO NOIN; EGUTI, ADRIANA; DOS SANTOS, LUIZ AUGUSTO; DALÇÓQUIO, TALIA FALCÃO; BERTOLIN, ADRIADNE JUSTI; ABREU-NETTO, REBECA LINHARES; SALSOSO, ROCIO; BAÍA-DA-SILVA, DJANE; MARCONDES-BRAGA, FABIANA G; SAMPAIO, VANDERSON SOUZA; JUDICE, CARLA CRISTINA; COSTA, FABIO TRINDADE MARANHÃO; DURÁN, NELSON; PERROUD, MAURICIO WESLEY; SABINO, ESTER CERDEIRA; LACERDA, MARCUS VINICIUS GUIMARÃES, et al. ; Covid-19 Automated Diagnosis and Risk Assessment through Metabolomics and Machine Learning. ANALYTICAL CHEMISTRY, v. 93, p. 2471-2479, 2021.

3. ESMAEL, A.; DA SILVA, H.; JI, T.; AND TORRES, R. “Non-Technical Loss Detection in Power Grid Using Information Retrieval Approaches: A Comparative Study,” IEEE Access 9: 40635-40648, 2021.

4. RODRIGUES, C. M.; SORIANO-VARGAS, A.; LAVI, B.; ROCHA, A.; & DIAS, Z. (2021). Manifold Learning for Real-World Event Understanding. IEEE Transactions on Information Forensics and Security, 16, 2957-2972.

5. RODRÍGUEZ SANTANDER, MIGUEL; HERNÁNDEZ ALBARRACÍN, JUAN; RAMÍREZ RIVERA, ADÍN. On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study. EXPERT SYSTEMS WITH APPLICATIONS, v. V, p. 114991, 2021.

6. ROLLMANN, K.; SORIANO-VARGAS, A.; ALMEIDA, F.; DAVOLIO, A.; SCHIOZER, D. J.; & ROCHA, A. (2021). Convolutional Neural Network Formulation to Compare 4-D Seismic and Reservoir Simulation Models. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, p. 1 – 14, 2021.

7. SORIANO-VARGAS, A.; WERNECK, R.; MOURA, R.; MENDES JÚNIOR, P.; PRATES, R.; CASTRO, M.; GONÇALVES, M; HOSSAIN, M.; ZAMPIERI, M.; FERREIRA, A.; DAVÓLIO, A.; HAMANN, B.; SCHIOZER, D. J.; ROCHA, A. (2021). A visual analytics approach to anomaly detection in hydrocarbon reservoir time series data. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, p. 108988, 2021.

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