CORTEXA
← Browse

Lucas Pascotti Valem

2 papers indexed

arxivcs.CVcs.AI2026-07-10

Integrating Large Language Models and Graph Convolutional Networks for Semi-Supervised Image Classification

Camila Piscioneri Magalhães, Lucas Pascotti Valem

While the growing availability of image data has driven significant advances, labeling datasets remains costly and time-consuming. Therefore, semi-supervised approaches such as Graph Convolutional Networks (GCNs), which learn from both labeled and unlabeled data, have emerged as…

View free PDFSource page
arxivcs.CVcs.AI2026-07-10

A Coreset Selection Framework with Ensemble Aggregation for Image Classification

Pedro Rocha Dantas, Lucas Pascotti Valem

The rapid growth of image data has produced large-scale datasets, raising concerns about the time and memory costs of model training. Selecting representative training subsets, however, remains challenging: individual sample contributions are unclear, and model behavior varies ac…

View free PDFSource page