5 citations · 12 across the 7 of their papers we have counts for
8 papers
CPEMH: An Agentic Framework for Prompt-Driven Behavior Evaluation and Assurance in Foundation-Model Systems for Mental Health Screening
Giuliano Lorenzoni, Ivens Portugal, Paulo Alencar +1
This paper presents CPEMH, an agentic framework designed to evaluate prompt-driven behavior in foundation-model systems operating on transcript-based datasets for mental-health scr…
Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT
Giuliano Lorenzoni, Ivens Portugal, Paulo Alencar +1
This study evaluates fine-tuning strategies for text classification using the DistilBERT model, specifically the distilbert-base-uncased-finetuned-sst-2-english variant. Through st…
Spatial-Temporal Cluster Relations -- A Foundation for Trajectory Cluster Lifetime Analysis
Ivens Portugal, Paulo Alencar, Donald Cowan
Spatial-temporal data, that is information about objects that exist at a particular location and time period, are rich in value and, as a consequence, the target of so many initiat…
Cluster Lifecycle Analysis: Challenges, Techniques, and Framework
Ivens Portugal, Paulo Alencar, Donald Cowan
Novel forms of data analysis methods have emerged as a significant research direction in the transportation domain. These methods can potentially help to improve our understanding…
Developing a Spatial-Temporal Contextual and Semantic Trajectory Clustering Framework
Ivens Portugal, Paulo Alencar, Donald Cowan
This paper reports on ongoing research investigating more expressive approaches to spatial-temporal trajectory clustering. Spatial-temporal data is increasingly becoming universal…
A Survey on Domain-Specific Languages for Machine Learning in Big Data
Ivens Portugal, Paulo Alencar, Donald Cowan
The amount of data generated in the modern society is increasing rapidly. New problems and novel approaches of data capture, storage, analysis and visualization are responsible for…
The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review
Ivens Portugal, Paulo Alencar, Donald Cowan
Recommender systems use algorithms to provide users with product or service recommendations. Recently, these systems have been using machine learning algorithms from the field of a…
Requirements Engineering for General Recommender Systems
Ivens Portugal, Paulo Alencar, Donald Cowan
In requirements engineering for recommender systems, software engineers must identify the data that drives the recommendations. This is a labor-intensive task, which is error-prone…