Tiago Dias Martins

According to our database, Tiago Dias Martins authored at least 7 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Accelerating hybrid ANN-ODE frameworks using surrogate machine learning and metaheuristic optimization for predicting recurrent venous thromboembolism.

Mohamad Al Bannoud, Tiago Dias Martins, Silmara Aparecida de Lima Montalvão, Joyce Maria Annichino-Bizzacchi, Rubens Maciel Filho, Maria Regina Wolf Maciel

Neural Comput. Appl., April, 2026

2025

Prediction of recurrent venous thromboembolism using a spatiotemporal phenomenological model and artificial neural network.

Mohamad Al Bannoud, Tiago Dias Martins, Silmara Aparecida de Lima Montalvão, Joyce Maria Annichino-Bizzacchi, Rubens Maciel Filho, Maria Regina Wolf Maciel

Neural Comput. Appl., May, 2025

2024

Predicting mortality of cancer patients using artificial intelligence, patient data and blood tests.

Tiago Dias Martins, Rubens Maciel Filho, Silmara Aparecida de Lima Montalvão, Gabriele S. S. Gois, Mohamad Al Bannoud, Gabriel Y. Ottaiano, Thaizy R. A. Anhaia, Millene E. A. Almeida, Monique R. M. Ferreira, Beatriz M. Martinelli, Maria C. G. L. Fernandes, Stephany C. Huber, Daniel Ribeiro, Júlio C. Teixeira, José B. C. Carvalheira, Carmen S. P. Lima, Nelson A. Andreollo, Maurício Etchebehere, Lair Zambon, Ubirajara Ferreira, Alfio J. Tincani, Antônio S. Martins, Cláudio S. R. Coy, José C. T. Seabra, Ricardo K. Mussi, Helder Tedeschi, Joyce Maria Annichino-Bizzacchi

Neural Comput. Appl., September, 2024

Combining artificial neural networks and hematological data to diagnose Covid-19 infection in Brazilian population.

Tiago Dias Martins, Sandra D. Martins, Silmara Aparecida de Lima Montalvão, Mohamad Al Bannoud, Gabriel Y. Ottaiano, Letícia Q. Silva, Stephany C. Huber, Tassiana S. P. Diaz, Carolina Wroclawski, Cyrillo Cavalheiro Filho, Rubens Maciel Filho, Joyce Maria Annichino-Bizzacchi

Neural Comput. Appl., 2024

Applications of metaheuristic optimization algorithms in model predictive control for chemical engineering processes: A systematic review.

Mohamad Al Bannoud, Carlos Alexandre Moreira da Silva, Tiago Dias Martins

Annu. Rev. Control., 2024

2020

Artificial neural networks for prediction of recurrent venous thromboembolism.

Tiago Dias Martins, Joyce Maria Annichino-Bizzacchi, Anna Virginia Calazans Romano, Rubens Maciel Filho

Int. J. Medical Informatics, 2020

2018

Predição da recorrência de tromboembolismo venoso via redes neurais artificiais

Tiago Dias Martins

PhD thesis, 2018