Paulo Mann
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View article: The Topics of Depression on Social Networking Sites
The Topics of Depression on Social Networking Sites Open
While depressive linguistic expressions have been extensively studied in traditional clinical contexts, there has been comparatively little attention devoted to modeling how both depressed and non-depressed individuals express their sympto…
View article: Diplomatrix-BR: Um Corpus Paralelo de Redações de Autoria Humana e de LLMs no Concurso de Diplomacia Brasileira
Diplomatrix-BR: Um Corpus Paralelo de Redações de Autoria Humana e de LLMs no Concurso de Diplomacia Brasileira Open
Modelos de Língua de Larga Escala (LLMs) avançaram significativamente na geração de textos coerentes e bem estruturados, mas a avaliação de suas saídas ainda representa um desafio, especialmente em geração aberta e de alto nível. Esse prob…
View article: From Zero-shot to Self-generated References: Leveraging LLMs for Scoring ENEM Essays
From Zero-shot to Self-generated References: Leveraging LLMs for Scoring ENEM Essays Open
This study investigates the application of Large Language Models (LLMs) to Automated Essay Scoring (AES) in the context of Brazil’s Exame Nacional do Ensino Médio (ENEM). We evaluate five state-of-the-art LLMs across three prompting scenar…
View article: Scalable Reputation Management: A Multi-Task Prompting Approach Using Fine-Tuned PLMs for Sentiment and Topic Classification
Scalable Reputation Management: A Multi-Task Prompting Approach Using Fine-Tuned PLMs for Sentiment and Topic Classification Open
Social media platforms provide a direct, real-time channel for companies to engage with their audiences, making the management of corporate reputation on social media a pivotal factor for organizational success. Reputation is shaped by fac…
View article: The Impact of Exogenous Variables on Soybean Freight: A Machine Learning Analysis
The Impact of Exogenous Variables on Soybean Freight: A Machine Learning Analysis Open
Predicting road freight prices is a challenging task influenced by multiple factors. Understanding which variables have the greatest impact is essential for building more accurate models, and consequently for enhancing the competitiveness …
View article: Warehousing Data for Brand Health and Reputation with AI-Driven Scores in NewSQL Architectures: Opportunities and Challenges
Warehousing Data for Brand Health and Reputation with AI-Driven Scores in NewSQL Architectures: Opportunities and Challenges Open
View article: The Impact of Exogenous Variables on Soybean Freight: A Machine Learning Analysis
The Impact of Exogenous Variables on Soybean Freight: A Machine Learning Analysis Open
Freight price prediction is a complex problem with multiple determinants. Identifying the most important variables can be used to develop more accurate prediction models and increase the competitiveness of Brazilian soybeans. This study ai…
View article: Federated Learning, IA Generativa e LLMs: Conceitos e Aplicações Práticas em Multimídia e Web
Federated Learning, IA Generativa e LLMs: Conceitos e Aplicações Práticas em Multimídia e Web Open
View article: Vision Backbone Efficient Selection for Image Classification in Low-Data Regimes
Vision Backbone Efficient Selection for Image Classification in Low-Data Regimes Open
Transfer learning has become an essential tool in modern computer vision, allowing practitioners to leverage backbones, pretrained on large datasets, to train successful models from limited annotated data. Choosing the right backbone is cr…
View article: Minicursos do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde
Minicursos do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde Open
O livro de Minicursos do SBCAS 2024 traz os textos dos minicursos selecionados e apresentados nesta edição do evento. O livro está organizado em seis capítulos abordando temas relacionados a simuladores imersivos, aplicações de Interface C…
View article: Provendo Segurança em Cidades Inteligentes: Aplicações, Desafios e Tendências em Mobilidade Elétrica e Tarifação Inteligente com NFTs
Provendo Segurança em Cidades Inteligentes: Aplicações, Desafios e Tendências em Mobilidade Elétrica e Tarifação Inteligente com NFTs Open
O Livro de Minicursos do XXII Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2022) traz a versão escrita das propostas aceitas e apresentadas nesta edição do SBSeg. Nos minicursos do SBSeg há conteúdos m…
View article: Screening for Depressed Individuals by Using Multimodal Social Media Data
Screening for Depressed Individuals by Using Multimodal Social Media Data Open
Depression has increased at alarming rates in the worldwide population. One alternative to finding depressed individuals is using social media data to train machine learning (ML) models to identify depressed cases automatically. Previous w…
View article: See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data Open
Mental disorders such as depression and anxiety have been increasing at alarming rates in the worldwide population. Notably, the major depressive disorder has become a common problem among higher education students, aggravated, and maybe e…
View article: See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data Open
Mental disorders such as depression and anxiety have been increasing at alarming rates in the worldwide population. Notably, the major depressive disorder has become a common problem among higher education students, aggravated, and maybe e…
View article: See and Read: Detecting Depression Symptoms in Higher Education Students\n Using Multimodal Social Media Data
See and Read: Detecting Depression Symptoms in Higher Education Students\n Using Multimodal Social Media Data Open
Mental disorders such as depression and anxiety have been increasing at\nalarming rates in the worldwide population. Notably, the major depressive\ndisorder has become a common problem among higher education students,\naggravated, and mayb…
View article: SiAPP: Um Sistema para Análise de Ocorrências de Crimes Baseado em Aprendizado Lógico-Relacional
SiAPP: Um Sistema para Análise de Ocorrências de Crimes Baseado em Aprendizado Lógico-Relacional Open
O crescente aumento da criminalidade em cidades brasileiras é um tema recorrente tanto nos veículos de comunicação como nas pautas das autoridades governamentais. Para combater efetivamente a criminalidade é necessário que recursos humanos…