Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning. - Leandro M. de Lima; Renato A. Krohling (IJCNN, 2021)

Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets. - Leandro M. de Lima; Renato A. Krohling (BRACIS (2), 2022)

Student Dropout Prediction using 1D CNN-LSTM with Variational Autoencoder Oversampling. - Eduarda C. Coppo; Rhuan S. Caetano; Leandro M. de Lima; Renato A. Krohling (LA-CCI, 2022)

A visualization tool for data analysis on higher education dropout: a case study at UFES. - Pedro P. Ladeira; Leandro M. de Lima; Renato A. Krohling (CoRR, 2022)

Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms. - Flavio P. Loss; Pedro H. da Cunha; Matheus Becali Rocha; Madson Poltronieri Zanoni; Leandro M. de Lima; Isadora Tavares Nascimento; Isabella Rezende; Tania R. P. Canuto; Luciana de Paula Vieira; Renan Rossoni; Maria C. S. Santos; Patricia Lyra Frasson; et al. (CoRR, 2024)

Transformers, convolutional neural networks, and few-shot learning for classification of histopathological images of oral cancer. - Beatriz Matias Santana Maia; Maria Clara Falcão Ribeiro de Assis; Leandro M. de Lima; Matheus Becali Rocha; Humberto Giuri Calente; Maria Luiza Armini Correa; Danielle Resende Camisasca; Renato Antonio Krohling (Expert Syst. Appl., 2024)