Leandro M. de Lima

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Reinforcement Learning Problems

Histopathological Images

Top Venues

Expert Syst. Appl.

Publications

Flavio P. Loss, Pedro H. da Cunha, Matheus B. 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, Wanderson Romão, Paulo R. Filgueiras, Renato A. Krohling
Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms. CoRR (2024)
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
Transformers, convolutional neural networks, and few-shot learning for classification of histopathological images of oral cancer. Expert Syst. Appl. 241 (2024)
Eduarda C. Coppo, Rhuan S. Caetano, Leandro M. de Lima, Renato A. Krohling
Student Dropout Prediction using 1D CNN-LSTM with Variational Autoencoder Oversampling. LA-CCI (2022)
Leandro M. de Lima, Renato A. Krohling
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets. CoRR (2022)
Leandro M. de Lima, Renato A. Krohling
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets. BRACIS (2) (2022)
Pedro P. Ladeira, Leandro M. de Lima, Renato A. Krohling
A visualization tool for data analysis on higher education dropout: a case study at UFES. CoRR (2022)
Leandro M. de Lima, Renato A. Krohling
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning. CoRR (2021)
Leandro M. de Lima, Renato A. Krohling
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning. IJCNN (2021)