1. ARAUJO, LUCAS M.; OLIVEIRA, FABÍOLA M. C.; FACCIPIERI, JORGE H.; COIMBRA, TIAGO A. A.; AVILA, SANDRA; TYGEL, MARTIN; BORIN, EDSON. Detecção de estruturas em dados sísmicos com Deep Learning. BOLETIM SBGF, v. 104, p. 18-21, 2018.
2. CORDOVA NEIRA, MANUEL ALBERTO; MENDES JR., PEDRO RIBEIRO; ROCHA, ANDERSON; TORRES, RICARDO. Data-Fusion Techniques for Open-Set Recognition Problems. IEEE Access (ACCESS), To Appear, 2018.
3. ESMAEL, A.; DOS SANTOS, J.; AND TORRES, R. On the ensemble of multiscale object-based classifiers for aerial images: a comparative study. Multimedia Tools and Applications, v. 77(19), p. 24565-24592, 2018.
4. LI, HAOLIANG; HE, PEISONG; WANG, SHIQI; ROCHA, ANDERSON; JIANG, XINGHAO; KOT, ALEX C. Learning Generalized Deep Feature Representation for Face Anti-spoofing. IEEE Transactions on Information Forensics and Security (T.IFS), To Appear, 2018.
5. MARIANO, G.; STAGGEMEIER, V.; MORELLATO, L.; AND TORRES, R. Multivariate cyclical data visualization using radial visual rhythms: A case study in phenology analysis. EcolOGICAL Informatics, v. 46, p. 19-35, 2018.
6. MELO, CARLOS FERNANDO ODIR RODRIGUES NAVARRO, LUIZ CLAUDIO DE OLIVEIRA, DIOGO NOIN GUERREIRO, TATIANE MELINA LIMA, ESTELA DE OLIVEIRA DELAFIORI, JEANY DABAJA, MOHAMED ZIAD RIBEIRO, MARTA DA SILVA DE MENEZES, MAICO RODRIGUES, RAFAEL GUSTAVO MARTINS MORISHITA, KAREN NODA ESTEVES, CIBELE ZANARDI DE AMORIM, ALINE LOPES LUCAS AOYAGUI, CAROLINE TIEMI PARISE, PIERINA LORENCINI MILANEZ, GUILHERME PAIER DO NASCIMENTO, GABRIELA MANSANO RIBAS FREITAS, ANDRÉ RICARDO ANGERAMI, RODRIGO COSTA, FÁBIO TRINDADE MARANHÃO ARNS, CLARICE WEIS RESENDE, MARIANGELA RIBEIRO AMARAL, ELIANA JUNIOR, RENATO PASSINI RIBEIRO-DO-VALLE, CAROLINA C. , et al.; A Machine Learning Application Based in Random Forest for Integrating Mass Spectrometry-Based Metabolomic Data: A Simple Screening Method for Patients With Zika Virus. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, v. 6, p. 1-11, 2018.
7. MOREIRA, DANIEL; AVILA, SANDRA; PEREZ, MAURICIO; MORAES, DANIEL; TESTONI, VANESSA; VALLE, EDUARDO; GOLDENSTEIN, SIOME; ROCHA, ANDERSON. Multimodal Data Fusion for Sensitive Scene Localization. Information Fusion, v. 45, p. 307-323, 2018.
8. MOREIRA, D.; BHARATI, A.; BROGAN, J.; PINTO, A.; PAROWSKI, M.; BOWYER, K. W.; FLYNN, P. J.; ROCHA, A.; AND SCHEIRER, W. J. Image provenance analysis at scale. IEEE Transactions on Image Processing, 27(12):6109–6123, Dec 2018.
9. MOREIRA, DANIEL; AVILA, SANDRA; PEREZ, MAURICIO; MORAES, DANIEL ; TESTONI, VANESSA ; VALLE, EDUARDO ; GOLDENSTEIN, SIOME ; ROCHA, ANDERSON. Multimodal Data Fusion for Sensitive Scene Localization. Information Fusion, v. P99, p. 1-18, 2018.
10. NAVARRO, LUIZ; NAVARRO, ALEXANDRE K.W.; ROCHA, ANDERSON, DAHAB, RICARDO. Connecting the Dots: Toward Accountable Machine-Learning Printer Attribution Methods. Journal of Visual Communication and Image Representation (JVCI), To Appear, 2018.
11. NAVARRO, LUIZ; NAVARRO, ALEXANDRE K. W.; GREGIO, ANDRE; ROCHA, ANDERSON; DAHAB, RICARDO. Leveraging Ontologies and Machine-learning Techniques for Malware Analysis into Android Permissions Ecosystems. COMPUTERS & SECURITY, v. 78, p. 429-453, 2018.
NOGUEIRA, K.; ET AL. Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, v. 15(9), p. 1446-1450, 2018.
12. PEREIRA, LUÍS A. M.; TORRES, RICARDO DA SILVA. Semi-Supervised Transfer Subspace for Domain Adaptation. PATTERN RECOGNITION, v. 75, p. 235-249, 2018.
13. ROCHA, ANDERSON; LI, SHUJUN; KUO, C.-C. JAY; PIVA, ALESSANDRO; HUANG, JIWU. Data-driven multimedia forensics and security. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 55, p. 447-448, 2018.
14. RODRIGUES MELO, CARLOS FERNANDO; NAVARRO, LUIZ CLAUDIO; OLIVEIRA, DIOGO NOIN; GUERREIRO, TA- TIANE MELINA; LIMA, ESTELA DE OLIVEIRA; DELAFIORI, JEANY; DABAJA, MOHAMED ZIAD; RIBEIRO, MARTA DA SILVA; DE MENEZES, MAICO; MARTINS RODRIGUES, RAFAEL GUSTAVO; MORISHITA, KAREN NODA; ESTEVES, CIBELE ZANARDI; DE AMORIN, ALINE LOPES LUCAS; AOYAGUI, CAROLINE TIEMI; PARISE, PIERINA LORENCINI; MILANEZ, GUILHERME PAIER; NASCIMENTO, GABRIELA; FREITAS, ANDR ́E RICARDO RIBAS; ANGERAM, RODRIGO; COSTA, F ́ABIO TRINDADE MARANH ̃AO; WEIS ARNS, CLARICE; RESENDE, MARIANGELA RIBEIRO; ELIANA AMARAL; PASSINO JR, RENATO; RIBEIRO-DO-VALLE, CAROLINA C.; MILANEZ, HELAINE; MORETTI, MARIA LUIZA; PROENCA-MODENA, JOSE LUIZ; AVILA, SANDRA; ROCHA, ANDERSON; AND CATHARINO, RODRIGO RAMOS. A Machine Learning Application Based in Random Forest for Integrating Mass Spectrometry-Based Metabolomic Data: A Simple Screening Method for Patients With Zika Virus. Frontiers in Bioengineering and Biotechnology (FRONTIERS), To Appear, 2018.
15. SEABRA OLIVEIRA, DANIELA; EPSTEIN, JEREMY; KUROSE, JAMES; ROCHA, ANDERSON . Cybersecurity and Privacy Issues in Brazil: Back, Now, and Then [Guest Editors’ Introduction]. IEEE SECURITY & PRIVACY, v. 16, p. 10-12, 2018.
16. SHEN, BINGYU; FORSTALL, CHRISTOPHER W.; ROCHA, ANDERSON; SCHEIRER, WALTER J.. Practical Text Phylogeny for Real-World Settings. IEEE Access, v. 6, p. 41002-41012, 2018.
17. SILVA, F. B.; WERNECK, R. O.; GOLDENSTEIN, S. K.; TABBONE, S.; TORRES, R. DA S. Graph-based Bag-of-Words for Classification. PATTERN RECOGNITION, v. 74, p. 266-285, 2018.
18. VITORINO, PAULO; AVILA, SANDRA ELIZA FONTES; PEREZ, MAURICIO L.; ROCHA, ANDERSON. Leveraging Deep Neural Networks to Fight Child Pornography in the Age of Social Media. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 50, p. 303-313, 2018.
19. WAINER, J; XAVIER, EDUARDO C. A Controlled Experiment on Python vs C for an Introductory Programming Course. ACM Transactions on Computing Education, v. 18, p. 1-16, 2018.
20. WERNECK, RAFAEL DE OLIVEIRA; DE ALMEIDA, WALDIR RODRIGUES; STEIN, BERNARDO VECCHIA; PAZINATO, DANIEL VATANABE; JÚNIOR, PEDRO RIBEIRO MENDES; PENATTI, OTÁVIO AUGUSTO BIZETTO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA . Kuaa: A unified framework for design, deployment, execution, and recommendation of machine learning experiments. Future Generation Computer Systems-The International Journal of eScience, v. 78, p. 59-76, 2018.