Publications
You can also find my articles on my Google Scholar profile.
How Context Injection Shapes Creativity in LLM-Generated Alternative Uses
Four types of injected context are compared on the Alternative Uses Test, showing that context type steers LLM outputs toward distinct creativity profiles rather than giving a uniform boost.
Understanding developer well-being: measuring mental health and productivity in software teams
A catalog of 12 metrics for developer mental health and productivity, assessed through a survey and interviews with industry professionals.
Emotion Recognition in Agile Software Meetings: A Comparative Study of ML, DL, and Text-based LLM Approaches
A comparative study of machine learning, deep learning and text-based LLM approaches for recognising emotions in agile software meetings.
The Topics of Depression on Social Networking Sites
Topic modeling of depressive expression on Instagram, Reddit and X in Brazilian Portuguese, comparing traditional techniques with an LLM-based methodology.
Scalable Reputation Management: A Multi-Task Prompting Approach Using Fine-Tuned PLMs for Sentiment and Topic Classification
This study presents a PLM-based framework that streamlines corporate reputation management with efficient, multi-task, multi-company model performance.
Warehousing Data for Brand Health and Reputation with AI-Driven Scores in NewSQL Architectures: Opportunities and Challenges
Explores AI-driven scores in NewSQL architectures for brand health and reputation.
The Impact of Exogenous Variables on Soybean Freight: A Machine Learning Analysis
Analyzes soybean freight prices using machine learning with external variables.
VIBES--Vision Backbone Efficient Selection
Presents an efficient framework for selecting vision backbones in deep learning architectures.
'I am always tired': Perceptions on Mental Health and Productivity Metrics
This study investigates tech and health professionals' perceptions of metrics for assessing mental health and productivity in software development to foster healthier work environments.
Applications of Artificial Intelligence to Support the Diagnosis, Treatment, and Prognosis of Mental Disorders
Comprehensive review of AI applications in mental health diagnostics, treatment and pgonosis.
Detecting depression from social media data as a multiple-instance learning task
Proposes a multiple-instance learning approach for screening depression using social media data.
Provendo Segurança em Cidades Inteligentes: Aplicações, Desafios e Tendências em Mobilidade Elétrica e Tarifação Inteligente com NFTs
Comprehensive review of principles, applications and challenges in electric mobility and smart charging with NFTs.
Screening for depressed individuals by using multimodal social media data
Develops a multimodal framework for depression screening using social media data.
See and read: detecting depression symptoms in higher education students using multimodal social media data
Combines visual and textual social media data for depression detection in students.
Towards safer (smart) cities: Discovering urban crime patterns using logic-based relational machine learning
Develops a logic-based relational learning approach for urban crime pattern analysis.
SiAPP: An Information System for Crime Analytics Based on Logical Relational Learning
Presents SiAPP, a crime analytics system using relational machine learning.