Zanini, L. G. K. (2024).
Integração de processamento de imagens e aprendizado de máquina na identificação de cáries em imagens de tomografia.
Master's Dissertation, Escola Politécnica, University of São Paulo, São Paulo. DOI:https://doi.org/10.11606/D.3.2024.tde-26082024-100240
Zanini, L.G.K., Rubira-Bullen, I.R.F. & Nunes, F.d.L.d.S.
A Systematic Review on Caries Detection, Classification, and Segmentation from X-Ray Images: Methods, Datasets, Evaluation, and Open Opportunities.
J Digit Imaging. Inform. med. 37, 1824–1845 (2024). DOI:https://doi.org/10.1007/s10278-024-01054-5
Costa, C. S. B. C., Helena Reali Costa, A. POE: A General Portfolio Optimization Environment for FinRL. .
In:ANAIS DO BRAZILIAN WORKSHOP ON ARTIFICIAL INTELLIGENCE IN FINANCE (BWAIF) - 2023.
DOI:https://doi.org/10.5753/bwaif.2023.231144
Marino Moreno, F, Fialho Coelho, J, Sproesser Mathias, M,
Rodrigues de Barros, M, Fabricio Deberaldini Netto, C, Palmiro de Freitas, L, Dottori, M,
Gagliardi Cozman, F, Helena Reali Costa, A,
Satoshi Gomi, E, & Aoun Tannuri, E. Echo State Networks for Surface Current
Forecasting in a Port Access Channel. .
In:Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore
and Arctic Engineering. Volume 5: Ocean Engineering.
Melbourne, Australia. June 11–16, 2023. V005T06A056. ASME.
DOI:https://doi.org/10.1115/OMAE2023-103265
Sproesser Mathias, M, Deberaldini Netto, CF, Marino Moreno, F,
Fialho Coelho, J, Palmiro de Freitas, L, Rodrigues de Barros, M,
Cardozo de Mello, P, Dottori, M, Gagliardi Cozman, F, Reali Costa, AH,
Costa Nogueira Junior, A, Satoshi Gomi, E, & Aoun Tannuri, E. A Physics-Informed Neural Operator for the Simulation of
Surface Waves. .
In:Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering.
Melbourne, Australia. June 11–16, 2023. V007T08A013. ASME.
DOI:https://doi.org/10.1115/OMAE2023-104950
Fialho Coelho, J, Rodrigues de Barros, M, Fabricio Deberaldini Netto, C,
Marino Moreno, F, Palmiro de Freitas, L, Sproesser Mathias, M,
Gagliardi Cozman, F, Dottori, M, Satoshi Gomi, E, Aoun Tannuri, E, & Helena Reali Costa, A. Modeling Oceanic Variables With Graph-Guided Networks
for Irregularly Sampled Multivariate Time Series. .
In:Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering.
Volume 5: Ocean Engineering. Melbourne, Australia. June 11–16, 2023. V005T06A058. ASME.
DOI:https://doi.org/10.1115/OMAE2023-104603
SILVA, A. P. S.; ABBADE, L. R.; SULLER, T. M.;
GOMES, E.; CUNHA, R.; GOMI, E.; REALI COSTA, A. H. Machine learning for noisy multivariate
time series classification: a comparison and practical evaluation .
In:ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 19. ,
2022, Campinas/SP. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação,
2022 . p. 682-693. ISSN 2763-9061.
DOI:https://doi.org/10.5753/eniac.2022.227600
ZANINI, L. G K; SILVA, A. P. S.; ALMEIDA, F. V.;
MARQUES, F. L. S. N.; REALI COSTA, A. H. Convolutional architectures with
LSTM and TCN to embolism classification: exploring dependency between data .
In:ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 19. , 2022,
Campinas/SP. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 .
p. 461-472. ISSN 2763-9061.
DOI:https://doi.org/10.5753/eniac.2022.227585
SYM, Y. V.; CAMPOS, J. G. M.; JOSÉ, M. M.; COZMAN, F. G. Comparing Computational Architectures for
Automated Journalism . In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL
(ENIAC), 19. , 2022, Campinas/SP. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022.
p. 377-388. ISSN 2763-9061.
DOI:https://doi.org/10.5753/eniac.2022.227426
DUCCA, S. V.; MARGI, C. B. Performance trade offs in IoT-based
traffic monitoring and incident detection systems . In: Symposium on
Internet of Things (SIoT), 2022
DOI:https://doi.org/10.1109/SIoT56383.2022.10070171
MATHIAS, M. S.; NETTO, C. F. D.; REALI COSTA, A. H.;
COZMAN, F. G. Augmenting a Physics-Informed Neural
Network for the 2D Burgers Equation by Addition of Solution Data Points .
In: BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), 2022
PIROZELLI, P.; OLIVEIRA, A. S.; JOSÉ, M. M.; CAÇÃO, F. N.;
BRANDÃO, A. A. F.; REALI COSTA, A. H.; MAUÁ, D. D.; COZMAN, F. G.; PERES, S. The BLue Amazon Brain (BLAB): A Modular
Architecture of Services about the Brazilian Maritime Territory .
In: 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-ECAI), 2022
MATHIAS, M. S.; NETTO, C. F. D.; REALI COSTA, A. H.; COZMAN, F. G. A Physics-Informed Neural Network to Model Port Channels .
In: 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-ECAI), 2022
MORENO F. M.; NETTO, C. F. D.; REALI COSTA, A. H.; COZMAN, F. G. Enhancing Oceanic Variables Forecast in the Santos Channel
by Estimating Model Error with Random Forests .
In: 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-ECAI), 2022
NETTO, C. F. D.; BARROS, M. R.; REALI COSTA, A. H.; COZMAN, F. G. Modeling Oceanic Variables with Dynamic Graph Neural Networks .
In: 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-ECAI), 2022
CHEANG, R. M.; BRANDÃO, A. A. F.; SICHMAN, J. S. Centralized norm enforcement in mixed-motive
multiagent reinforcement learning .
In: Coordination, Organizations, Institutions, Norms, and Ethics for Governance of
Multi-Agent Systems XV (COINE), 2022
DOI:https://doi.org/10.1007/978-3-031-20845-4_8
FELIZARDO, L. K.; PAIVA, F. C. L.; GRAVES, C. V.;
MATSUMOTO, E. Y.; REALI COSTA, A. H.; DEL-MORAL-HERNANDEZ, E.; BRANDIMARTE, P. Outperforming algorithmic trading
reinforcement learning systems: A supervised approach to the cryptocurrency market .
In: Expert Systems with Applications (ESWA), 2022
COTRIM, L. P.; JOSÉ, M. M.; CABRAL, E. L. L. Reinforcement Learning Control of Robot
Manipulator . In: Revista Brasileira de Computação Aplicada, v. 13, n. 3,
p. 42-53, 2021.
DOI:https://doi.org/10.5335/rbca.v13i3.12091
JOSÉ, M. M.; JOSÉ, M. A.; MAUÁ, D.; COZMAN, F. G. Integrating Question Answering and
Text-to-SQL in Portuguese . In: International Conference on Computational
Processing of Portuguese (PROPOR), 2022.
DOI:https://doi.org/10.48550/arXiv.2202.10221
CAÇÃO, F. N.; REALI COSTA, A. H.; Tracking Changes in Environmental
Policy in the Brazilian Federal Official Gazette . In: International Conference on Computational
Processing of Portuguese (PROPOR), 2022.
DOI:https://doi.org/10.48550/arXiv.2202.10221
ALCOFORADO, A.; FERRAZ, T. P.; GERBER, R.; BUSTOS, E.;
OLIVEIRA, A. S.; VELOSO, B. M.; SIQUEIRA, F. L.; REALI COSTA, A. H. ZeroBERTo - Leveraging Zero-Shot Text
Classification by Topic Modeling . In: International Conference on Computational
Processing of Portuguese (PROPOR), 2022.
DOI:https://doi.org/10.1007/978-3-030-98305-5_12
OLIVEIRA, A. S.; REALI COSTA, A. H. PLSUM: Generating PT-BR Wikipedia
by Summarizing Multiple Websites . In: ENCONTRO NACIONAL DE INTELIGÊNCIA
ARTIFICIAL E COMPUTACIONAL (ENIAC), 18. , 2021, Evento Online. Anais [...].
Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 751-762. ISSN 2763-9061.
DOI:https://doi.org/10.5753/eniac.2021.18300.
SPINDOLA, S.; JOSÉ, M. M.; OLIVEIRA, A. S.; CAÇÃO, F. N.;
COZMAN, F. G Interpretability of Attention in a
Portuguese-Based Question Answering System about the Blue Amazon . In: ENCONTRO
NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 18. , 2021, Evento Online.
Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 775-786.
ISSN 2763-9061. DOI:https://doi.org/10.5753/eniac.2021.18302.
NISHIMOTO, B. E.; REALI COSTA, A. H. Slot Sharing Mechanism in Multi-Domain
Dialogue Systems. In: BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), 10. ,
2021, Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 .
ISSN 2643-6264.
PAIVA, F. C. L.; FELIZARDO, L. K.; BIANCHI, R. A. C.;
REALI COSTA, A. H Intelligent Trading Systems: A Sentiment-Aware
Reinforcement Learning Approach. 2nd ACM International Conference on AI in Finance
(ICAIF), 2021
CAÇÃO, F. N.; JOSÉ, M. M.; OLIVEIRA, A. S.;
SPINDOLA, S.; REALI COSTA, A. H.; COZMAN, F. G. DEEPAGÉ: Answering Questions
in Portuguese about the Brazilian Environment. In: BRAZILIAN
CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), 10. , 2021, Online. Anais [...].
Porto Alegre: Sociedade Brasileira de Computação, 2021 . ISSN 2643-6264.
PASCHOAL, A. F. A.; PIROZELLI, P.; FREIRE, V.;
DELGADO, K. V.; PERES, S. M.; JOSÉ, M. M.;CAÇÃO, F. N.; OLIVEIRA, A. S. Pirá: A Bilingual Portuguese-English
Dataset for Question-Answering about the Ocean. International Conference
on Information & Knowledge Management (CIKM), 2021.
SILVA, R. F.; BARREIRA, B.; CUGNASCA, C. E. Prediction of corn and sugar prices using
machine learning, econometrics, and ensemble models. European Federation for
Information Technology in Agriculture, Food and the Environment (EFITA), 2021.
ARANDA, R.; SILVA, R. F.; CUGNASCA, C. E. Requirements identification for a
blockchain-based traceability model for animal-based medicines. European
Federation for Information Technology in Agriculture, Food and the Environment (EFITA),
2021.
SINÉZIOS, J.; SILVA, R. F.; BRAZOLIN, S.; CUGNASCA, C. E. Bibliometric review on the use of Internet
of Things technologies to monitor the impact of wind on trees and forests.
European Federation for Information Technology in Agriculture, Food and the Environment
(EFITA), 2021.
CHEANG, R. M.; BRANDÃO, A. F.; SICHMAN, J. S. A Brief Overview of Social Dilemmas: From
Social Sciences to Multiagent Based Simulations. Workshop-School on Agents,
Environments, and Applications (WESAAC), 2021.
HASHIMOTO, B. F.; SHIGUEOKA, L. S.; COSTA, V. P.; GOMI, E. S.
Treinamento de Classificadores de
Aprendizagem de Máquina para o Diagnóstico do Glaucoma com o Uso de Dados de Perimetria
Automatizada Padrão (SAP). In: CONCURSO DE TRABALHOS DE INICIAÇÃO CIENTÍFICA -
SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO APLICADA À SAÚDE (SBCAS), 21., 2021, Evento Online. Anais
[...]. Porto Alegre: Sociedade Brasileira de Computação, 2021. p. 151-156.
NAKASATO, F. C.; REALI COSTA, A. H.; UNTERSTELL, N.; YONAHA,
L.; STEC, T.; ISHISAKI, F.
DeepPolicyTracker: Tracking Changes In: Environmental Policy In The Brazilian Federal
Official Gazette With Deep Learning. ICML 2021 Workshop, 2021.
PAULA, A.; SILVA, R. F.; NISHIMOTO, B. E.; CUGNASCA, C. E.;
REALI COSTA, A. H. Answer Selection Using
Reinforcement Learning for Complex Question Answering on the Open Domain. In 2021
International Symposium on Electrical, Electronics and Information Engineering (ISEEIE
2021). 2021, pp.271–276. :https://doi.org/10.1145/3459104.3459149
POLLETI, G. P.; MUNOZ, H. N.; COZMAN, F. G. Explanations within conversational
recommen-dation systems: Improving coverage through knowledge graph embedding.
Thirty-Fourth AAAI Conference on Artificial Intelligence Workshop on Interactive and
Conversational Recommendation Systems (WICRS), New YorkCity, New York, USA, 2020.
PRATA, D.; COZMAN, F. G.; POLLETTI, G. Using AI to Classify Instagram's Dissident
Images. In: ICDHS 12th International Conference on Design History and Design
Studies., 2020, Croacia. Lessons to Learn: Past Design Experiences and Contemporary Design
Practices. Croacia: UPI 2 M Books, 2020. v. 6. p. 695-708.
NISHIMOTO, B. E.; REALI COSTA, A. H. Deep Recurrent Q-Learning for Partially
Observable Dialog System. The Third Workshop on Reasoning andLearning for
Human-Machine Dialogues (DeepDial2020). https://sites.google.com/view/deep-dial2020/program
SILVA, R. F.; XAVIER, F.; SARAIVA, A. M.; CUGNASCA, C.E. Unsupervised machine learning and pandemics
spread: the case of COVID-19. In: 20 Simpósio Brasileiro de Computação Aplicada à
Saúde (SBCAS), 2020, Salvador. Anais do 20 Simpósio Brasileiro de Computação Aplicada à
Saúde (SBCAS), 2020. v. 1.
SILVA, R. F.; BARREIRA, B. L.; XAVIER, F.; SARAIVA, A. M. ;
CUGNASCA, C.E. Use of econometrics and
machine learning models to predict the number of new cases per day of COVID-19.
In: 20 Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS), 2020, Salvador. Anais do
20 Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS), 2020. v. 1.
BARREIRA, B. L.; SILVA, R. F. ; CUGNASCA, C.E. . An in-depth analysis on the use of long
short-term memory networks to predict incidence and prevalence of Covid-19 in Latin
America. In: 2020 International Conference on Frontiers of Artificial
Intelligence and Machine Learning (FAIML), 2020, Berlin. Proceedings of (2020 International
Conference on Frontiers of Artificial Intelligence and Machine Learning, 2020. v. 1.
OLIVEIRA, A.; REALI COSTA, A.; HRUSCHKA, E. A Framework for Multi-document Extractive
Summarization of Reviews with Aspect-based Sentiment Analysis. In: Anais do XVII
Encontro Nacional de Inteligência Artificial e Computacional. SBC, 2020. p. 471-482.
CAMACHO, L.; ALVES-SOUZA, S. Identification of Social Influence on Social
Networks and Its Use in Recommender Systems: A Systematic Review. In: Proceedings
of the 9th International Conference on Data Science, Technology and Applications - Volume 1:
DATA, ISBN 978-989-758-440-4, pages 234-241, 2020.
NETTO, C. D.; TANNURI, E.; MAUÁ, D.; COZMAN, F. G. Prediction of Environmental Conditions for
Maritime Navigation using a Network of Sensors: A Practical Application of Graph Neural
Networks. In: SYMPOSIUM ON KNOWLEDGE DISCOVERY, MINING AND LEARNING (KDMILE), 8.,
2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020. p.
233-240. ISSN 2763-8944. https://doi.org/10.5753/kdmile.2020.11981
POLLETI, G.; SOUZA, D. L.; COZMAN, F. G. Why should I not follow you? Reasons For and
Reasons Against in Responsible Recommender Systems. In: 3rd FAccTRec Workshop:
Responsible Recommendation, 2020, Rio de Janeiro (Online). Short Papers, 2020.
D’ALESSANDRO, L.L.; CORRÊA, P.L.P.; RIZZO, L.V.; PINAYA,
J.L.D.; OLIVEIRA, M. Ferramenta e
Metodologia Orientada por Níveis de Análise para Visualização de Dados Ambientais
. In VI Congress of Industrial Managemente and Aeronautical Technology. (VI CIMATech) 22 a
24 de outubro de 2019, FATEC-SJC, São José dos Campos -SP.
MELO, G.; IMAIZUMI, V.; COZMAN, F. G. Winograd Schemas in Portuguese. In:
ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 16. , 2019, Salvador.
Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional. Porto Alegre:
Sociedade Brasileira de Computação, oct. 2019 . p. 787-798.
R. Monteiro de Aquino and F. Cozman, Natural Language Explanations of Classifier
Behavior, 2019 IEEE Second International Conference on Artificial Intelligence
and Knowledge Engineering (AIKE), Sardinia, Italy, 2019, pp. 239-242. https://doi.org/10.1109/AIKE.2019.00048
Ruschel A., Gusmão A.C., Polleti G.P., Cozman F.G. (2019) Explaining Completions Produced by
Embeddings of Knowledge Graphs. In: Kern-Isberner G., Ognjanović Z. (eds)
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2019. Lecture
Notes in Computer Science, vol 11726. Springer. https://doi.org/10.1007/978-3-030-29765-7_27
Camacho, L.; Faria, J.; Alves-Souza, S. and Filgueiras, L. (2019). Social Tracks: Recommender System for
Multiple Individuals using Social Influence. In Proceedings of the 11th
International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge
Management - Volume 1: KDIR, ISBN 978-989-758-382-7, pages 363-371. https://doi.org/10.5220/0008166503630371
POLLETI, G. P.; COZMAN, F. G.; Explaining
Content-based Recommendations with Topic Models. Brazilian Conference on
Intelligent Systems (BRACIS, Qualis B2), 2019, São Paulo.
B. E. NISHIMOTO and A. H. REALI COSTA,
Dialogue Management with Deep Reinforcement Learning: Balancing Exploration and
Exploitation; 2019 8th Brazilian Conference on Intelligent Systems (BRACIS),
Salvador, Brazil, 2019, pp. 449-454, doi: 10.1109/BRACIS.2019.00085.
FERREIRA, T.M.; PAIVA, F.C.L.; SILVA, R.F.; PAULA, A.M.; COSTA, A.H.R.; CUGNASCA, C.E. Assessing Regression-Based Sentiment
Analysis Techniques in Financial Texts. In: Encontro Nacional de Inteligência
Artificial e Computacional (ENIAC), 2019, Salvador, Brasil.
POLLETI, G. P.; COZMAN, F. G.; Faithfully
Explaining Predictions of Knowledge Embeddings. Encontro Nacional de Inteligência
Artificial e Computacional (ENIAC), 2019, São Paulo.
SILVA, R.F.; MOSTAÇO, G.M.; XAVIER, F.; SARAIVA, A.M.; CUGNASCA, C.E. Comparison of the k-means and
self-organizing maps techniques to label agricultural supply chain data. In:
Conference of the European Federation for Information Technology in Agriculture, Food and
the Environment (EFITA), 2019, Rhodes, Greece.
SILVA, R.F.; MOSTAÇO, G.M.; XAVIER, F.; SARAIVA, A.M.; CUGNASCA, C.E. Proposal of an architecture for data
integration at agricultural supply chains, considering the implementation of IoT, NoSQL
and blockchain technologies. In: Conference of the European Federation for
Information Technology in Agriculture, Food and the Environment (EFITA), 2019, Rhodes,
Greece
MOSTAÇO, G.M.; SILVA, R.F.; CUGNASCA, C.E. Identification of requirements for
implementing IoT on the smart beef value chain. In: Conference of the European
Federation for Information Technology in Agriculture, Food and the Environment (EFITA),
2019, Rhodes, Greece
RODRIGUES, J.O.; MOSTAÇO, G.M.; SILVA, R.F.; BESSAN, G.; CUGNASCA, C.E.; MARTUCCI, M. Towards 5G requirements: performance
evaluation of a simulated WSN using SDN technology. In: Conference of the
European Federation for Information Technology in Agriculture, Food and the Environment
(EFITA), 2019, Rhodes, Greece
SILVA, R.F.; MOSTAÇO, G.M.; XAVIER, F.; SARAIVA, A.M.; CUGNASCA, C.E. Use of artificial intelligence on the
agroindustrial domain. In: XII Congresso Brasileiro de Agroinformática (SBIAGRO),
2019, Indaiatuba, Brasil.
SILVA, R.F.; MOSTAÇO, G.M.; CUGNASCA, C.E. Requirements identification and proposal of
a domain model for implementing IoT in the sugar supply chain. In: XII Congresso
Brasileiro de Agroinformática (SBIAGRO), 2019, Indaiatuba, Brasil.
MARTO, T.; SILVA, R.F.; PAULA, A.M.; COSTA, A.H.R.; CUGNASCA, C.E. Development of a labelled dataset of
Brazilian agricultural market news titles for sentiment analysis. In: XII
Congresso Brasileiro de Agroinformática (SBIAGRO), 2019, Indaiatuba, Brasil.
RODRIGUES, J.O.; MOSTAÇO, G.M.; SILVA, R.F.; BESSAN, G.; CUGNASCA, C.E.; MARTUCCI, M. Distributing the Cloud Towards Autonomous &
Resilient 5G Networking. In: 10th International Conference on Information and
Communication Technology Convergence (ICTC), 2019, Korea.
SILVA, R.F.; SOUZA, A.; XAVIER, F.; GALVANI, E.; MOSTAÇO, G.M.; SARAIVA, A.M.; CUGNASCA,
C.E.; ROSS, J. Use of Unsupervised Machine
Learning for Sugarcane Crop Suitability Evaluation. In: XX Brazilian Symposium on
GeoInformatics (GEOINFO), 2019, São José dos Campos, Brasil.
