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1. ALBARRACIN, J.; OLIVEIRA, R.; HIROTA, M.; DOS SANTOS, J.; AND TORRES, R. “A Soft Computing Approach for Selecting and Combining Spectral Bands,” Remote Sensing 12(14): 2267, 2020.


2. ALMEIDA, ALEXANDRE G.; MERLIN, MURILO; PINTO, ALLAN; TORRES, RICARDO DA S.; AND CUNHA, SERGIO A. Performance-level indicators of male elite handball teams. International Journal of Performance Analysis in Sport, 20(1):1–9, November 2020.


3. ALMEIDA, WALDIR R.; ANDALÓ, FERNANDA A.; PADILHA, RAFAEL; BERTOCCO, GABRIEL; DIAS, WILLIAM; TORRES, RICARDO DA S.; WAINER, JACQUES; ROCHA, ANDERSON. Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function. PLoS One, v. 15, p. e0238058-24, 2020.


4. CARVALHO, LUIZ SÉRGIO F.; GIOPPATO, SILVIO; FERNANDEZ, MARTA D.; TRINDADE, BERNARDO C.; SILVA, JOSÉ CARLOS Q. E.; MIRANDA, REBECA G. S.; SOUZA, BETO J. R. M.; NADRUZ JUNIOR, W. ; AVILA, SANDRA; SPOSITO, ANDREI C. Machine Learning Improves the Identification of Individuals With Higher Morbidity and Avoidable Health Costs After Acute Coronary Syndromes. VALUE IN HEALTH, v. 23, p. 1570-1579, 2020.


5. CAVALCANTE, CRISTINA C.B.; MASCHIO, CÉLIO; SCHIOZER, DENIS; ROCHA, ANDERSON. A stochastic learning-from-data approach to the history-matching problem. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v. 94, p. 103767, 2020.


6. CÓRDOVA, M.; PINTO, A.; PEDRINI, H.; AND TORRES, R. D. S. “Pelee-Text++: A Tiny Neural Network for Scene Text Detection,” in IEEE Access, vol. 8, pp. 223172-223188, 2020.


7. DIAS, D.; PINTO, A.; DIAS, U.; LAMPARELLI, R.; LE MAIRE, G.; AND TORRES, R. D. S. A multirepresentational fusion of time series for pixelwise classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13(1):4399–4409, July 2020.


8. DIAS, D.; DIAS, U.; MENINI, N.; LAMPARELLI, R.; LE MAIRE, G.; AND TORRES, R. “Image-Based Time Series Representations for Pixelwise Eucalyptus Region Classification: A Comparative Study,” in IEEE Geoscience and Remote Sensing Letters, 17(8): 1450-1454, 2020.


9. DIAS-AUDIBERT, FLÁVIA LUÍSA ; NAVARRO, LUIZ CLAUDIO ; DE OLIVEIRA, DIOGO NOIN ; DELAFIORI, JEANY ; MELO, CARLOS FERNANDO ODIR RODRIGUES ; GUERREIRO, TATIANE MELINA ; ROSA, FLÁVIA TRONCON ; PETENUCI, DIEGO LIMA ; WATANABE, MARIA ANGELICA EHARA ; VELLOSO, LICIO AUGUSTO ; ROCHA, ANDERSON REZENDE ; CATHARINO, RODRIGO RAMOS. Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, v. 8, p. 1-11, 2020.


10. FADEL, S.; AND TORRES, R. “Neural relational inference for disaster multimedia retrieval,” in Multimedia Tools and Applications, 79(35-36): 26735-26746, 2020.


11. FLORES CAMPANA, J. L. ET AL., “On the Fusion of Text Detection Results: A Genetic Programming Approach,” in IEEE Access, vol. 8, pp. 81257-81270, 2020.


12. FOLEGO, GUILHERME; WEILER, MARINA; CASSEB, R. F.; PIRES, RAMON; ROCHA, ANDERSON. Alzheimer’s Disease Detection Through Whole-Brain 3D-CNN MRI. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, v. 8, p. 1193-1207, 2020.


13. IQBAL, MD TAUHID BIN; RYU, BYUNGYONG; RAMIREZ RIVERA, ADIN; MAKHMUDKHUJAEV, FARKHOD; CHAE, OKSAM; BAE, SUNG-HO. Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations. IEEE Transactions on Affective Computing, v. V, p. 1-1, 2020.


14. LI, HAOLIANG; WANG, SHIQI; HE, PEISONG; ROCHA, ANDERSON. Face Anti-Spoofing With Deep Neural Network Distillation. IEEE Journal of Selected Topics in Signal Processing, v. 14, p. 933-946, 2020.


15. LIMA, ESTELA DE OLIVEIRA; NAVARRO, LUIZ CLAUDIO; MORISHITA, KAREN NODA; KAMIKAWA, CAMILA MIKA; RODRIGUES, RAFAEL GUSTAVO MARTINS; DABAJA, MOHAMED ZIAD; DE OLIVEIRA, DIOGO NOIN; DELAFIORI, JEANY; DIAS-AUDIBERT, FLÁVIA LUÍSA; RIBEIRO, MARTA DA SILVA; VICENTINI, ADRIANA PARDINI; ROCHA, ANDERSON; CATHARINO, RODRIGO RAMOS . Metabolomics and Machine Learning Approaches Combined in Pursuit for More Accurate Paracoccidioidomycosis Diagnoses. mSystems, v. 5, p. 1-12, 2020.


16. PADILHA, RAFAEL; MAZINI, CAROLINE; ANDALO, FERNANDA ALCANTARA; BERTOCCO, GABRIEL; DIAS, ZANONI; ROCHA, ANDERSON. Forensic Event Analysis: From Seemingly Unrelated Data to Understanding. IEEE SECURITY & PRIVACY, v. 18, p. 23-32, 2020.


17. PADILHA, RAFAEL; ANDALÓ, FERNANDA A.; BERTOCCO, GABRIEL; ALMEIDA, WALDIR R.; DIAS, WILLIAM; RESEK, THIAGO; TORRES, RICARDO DA S.; WAINER, JACQUES; ROCHA, ANDERSON. Two-tiered face verification with low-memory footprint for mobile devices. IET Biometrics, v. 9, p. 205-215, 2020.


18. PINTO, A.; GOLDENSTEIN, S.; FERREIRA, A.; CARVALHO, T.; PEDRINI, H.; AND ROCHA, A. Leveraging shape, reflectance and albedo from shading for face presentation attack detection. IEEE Transactions on Information Forensics and Security, 15:3347–3358, April 2020.


19. QUISPE, R.; TTITO, D.; RAMÍREZ RIVERA, A.; PEDRINI, H. Multi-stream networks and ground-truth generation for crowd counting. International Journal of Electrical and Computer Engineering Systems, v. V, p. 1, 2020.


20. RAMÍREZ RIVERA, A.; KHAN, A.; BEKKOUCH, I.; SHEIKH, T. Anomaly Detection Based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation. IEEE Transactions on Neural Networks and Learning Systems, p. 1-11, 2020.


21. ROCHA, ANDERSON. The Information Forensics and Security Technical Committee: Then, Now, and in the Future [In the Spotlight]. IEEE SIGNAL PROCESSING MAGAZINE, v. 37, p. 175-176, 2020.


22. SANTOS, GEISE; PISANI, PAULO HENRIQUE; LEYVA, ROBERTO; LI, CHANG-TSUN; TAVARES, TIAGO; ROCHA, ANDERSON . Manifold learning for user profiling and identity verification using motion sensors. PATTERN RECOGNITION, v. 106, p. 107408-16, 2020.


23. SANTOS, THIAGO T. ; DE SOUZA, LEONARDO L. ; DOS SANTOS, ANDREZA A. ; AVILA, SANDRA . Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 170, p. 105247, 2020.


24. SILVA, EWERTON; TORRES, RICARDO DA S.; PINTO, ALLAN; LI, LIN TZY; VIANNA, JOSÉ EDUARDO S.; AZEVEDO, RODOLFO; AND GOLDENSTEIN, SIOME. Application-oriented retinal image models for computer vision. Sensors, 20(13):3746, July 2020.


25. SILVA, E.; TORRES, R.; ALBERTON, B.; MORELLATO, L.; AND SILVA, T. “A Change-Driven Image Foveation Approach for Tracking Plant Phenology,” Remote Sensing 12(9): 1409, 2020.


26. SORIANO-VARGAS, A.; ROLLMANN, K.; ALMEIDA, F.; DAVOLIO, A.; HAMANN, B.; SCHIOZER, D. J.; & ROCHA, A. A synthetic case study of measuring the misfit between 4D seismic data and numerical reservoir simulation models through the Momenta Tree. Computers & Geosciences, 145, 104617, 2020.


27. VERDE, SEBASTIANO; RESEK, Thiago; MILANI, SIMONE; ROCHA, ANDERSON . Ground-to-Aerial Viewpoint Localization via Landmark Graphs Matching. IEEE SIGNAL PROCESSING LETTERS, v. 27, p. 1490-1494, 2020.

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