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Posts by Collection
portfolio
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publications
SiAPP: An Information System for Crime Analytics Based on Logical Relational Learning
Published in Proceedings of the XII Brazilian Symposium on Information Systems, 2016
Presents SiAPP, a crime analytics system using relational machine learning.
Towards safer (smart) cities: Discovering urban crime patterns using logic-based relational machine learning
Published in 2018 International Joint Conference on Neural Networks (IJCNN), 2018
Develops a logic-based relational learning approach for urban crime pattern analysis.
See and read: detecting depression symptoms in higher education students using multimodal social media data
Published in Proceedings of the International AAAI Conference on Web and Social Media, 2020
Combines visual and textual social media data for depression detection in students.
Screening for depressed individuals by using multimodal social media data
Published in Proceedings of the 2021 AAAI Conference on Artificial Intelligence (Doctoral Consortium), 2021
Develops a multimodal framework for depression screening using social media data.
Provendo Segurança em Cidades Inteligentes: Aplicações, Desafios e Tendências em Mobilidade Elétrica e Tarifação Inteligente com NFTs
Published in Minicursos do XXII Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais, 2022
Comprehensive review of principles, applications and challenges in electric mobility and smart charging with NFTs.
Detecting depression from social media data as a multiple-instance learning task
Published in 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), 2022
Proposes a multiple-instance learning approach for screening depression using social media data.
Applications of Artificial Intelligence to Support the Diagnosis, Treatment, and Prognosis of Mental Disorders
Published in Minicursos do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS), 2024
Comprehensive review of AI applications in mental health diagnostics, treatment and pgonosis.
‘I am always tired’: Perceptions on Mental Health and Productivity Metrics
Published in Anais Estendidos do Congresso Brasileiro de Software: Teoria e Prática (CBSoft), 2024
This study investigates tech and health professionals’ perceptions of metrics for assessing mental health and productivity in software development to foster healthier work environments.
VIBES–Vision Backbone Efficient Selection
Published in arXiv preprint, 2024
Presents an efficient framework for selecting vision backbones in deep learning architectures.
The Impact of Exogenous Variables on Soybean Freight: A Machine Learning Analysis
Published in MDPI Sustainability, 2025
Analyzes soybean freight prices using machine learning with external variables.
Warehousing Data for Brand Health and Reputation with AI-Driven Scores in NewSQL Architectures: Opportunities and Challenges
Published in International Conference on Enterprise Information Systems (ICEIS), 2025
Explores AI-driven scores in NewSQL architectures for brand health and reputation.
Scalable Reputation Management: A Multi-Task Prompting Approach Using Fine-Tuned PLMs for Sentiment and Topic Classification
Published in International AAAI Conference on Web and Social Media (ICWSM), 2025
This study presents a PLM-based framework that streamlines corporate reputation management with efficient, multi-task, multi-company model performance.
talks
Talk 1 on Relevant Topic in Your Field
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Tutorial 1 on Relevant Topic in Your Field
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Talk 2 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Algoritmos e Grafos
, , 2025
Algoritmos e Grafos
Algoritmos e Grafos
, , 2025
Algoritmos e Grafos
Computação I
, , 2025
Computação I
Computação I
, , 2025