BODINI, MATTEO
BODINI, MATTEO
Dipartimento di Economia, Management e Metodi Quantitativi
Automated machine learning for bio-oil yield prediction from lignocellulosic biomass pyrolysis
2026 D. Campos, R. Ervilha, B. Da Silva Macêdo, M. Bodini, C.M. Saporetti, L. Goliatt
Machine Learning-Based Prediction of Soybean Plant Height from Agronomic Traits Across Sequential Harvests
2025 B.R. De Oliveira, R.L. Sobrinho, F.R.T. Ferreira, F.F. Putti, M. Bodini, C.M. Saporetti, L. Goliatt
Convolutional neural networks with transfer learning for natural river flow prediction in ungauged basins
2025 H. Echternacht, L. Campos, A.D. De Martinho, D.P.M.D. Souza, R.B. De Santis, T.S. Gontijo, M. Bodini, A. Gorgoglione, C.M. Saporetti, L. Goliatt
Stratified Metamodeling to Predict Concrete Compressive Strength Using an Optimized Dual-Layered Architectural Framework
2025 G.F. Neto, B.D.S. Macêdo, T.H.A. Boratto, T.S. Gontijo, M. Bodini, C. Saporetti, L. Goliatt
Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management
2025 T.J. Francisco, B. Da Silva Macêdo, Z.M. Yaseen, N.O. Nikitin, M. Bodini, A. Gorgoglione, C.M. Saporetti, L. Goliatt
Assessment of AutoML frameworks for predicting compressive and flexural strength of recycled aggregate concrete
2025 D. Campos, B. Da Silva Macêdo, Z. Al-Khafaji, M.A. Bozkurt, İ.E. Kayral, T.S. Gontijo, M. Bodini, C.M. Saporetti, L. Goliatt
Bayesian optimization-guided machine learning models for bio-oil yield prediction from lignocellulosic biomass pyrolysis
2025 R. Ervilha, D. Campos, B. Da Silva Macêdo, D.A. Bertuol, E.H. Tanabe, Z.M. Yaseen, M. Bodini, C.M. Saporetti, L. Goliatt
An Agglomerative Clustering Combined with an Unsupervised Feature Selection Approach for Structural Health Monitoring
2025 T. Boratto, H.S. Bernardino, A.B. Vieira, T.S. Gontijo, M. Bodini, D.A. Martyushev, C.M. Saporetti, A. Cury, F. Barbosa, L. Goliatt
A Computational Approach for Identifying Keywords Related to the 2030 Agenda for Sustainable Development Goals in a Brazilian Higher Education Institution
2025 A.C. Estorani Polessa, G.G. Tavares, R. Medina, C.M. Saporetti, T.S. Gontijo, M. Bodini, L. Goliatt, P. Capriles
Machine Learning with Evolutionary Parameter Tuning for Singing Registers Classification
2025 T. Boratto, G.D.O. Costa, A. Meireles, A.K.S.T.R. Alves, C.M. Saporetti, M. Bodini, A. Cury, L. Goliatt
A CNN-Based Method for Quantitative Assessment of Steel Microstructures in Welded Zones
2025 C.D.D. Almeida, T.T. Filgueiras, M.L. Lagares, B.D.S. Macêdo, C.M. Saporetti, M. Bodini, L. Goliatt
Machine-learning optimized wavelet framework for multi-scale streamflow forecasting to enhance water-resource management
2025 Y. Gorodetskaya, R.O. Silva, L.H. Nogueira, A. Gorgoglione, M. Bodini, C.B. De Melo Ribeiro, L. Goliatt
Daily Streamflow Forecasting Using AutoML and Remote-Sensing-Estimated Rainfall Datasets in the Amazon Biomes
2024 M. Bodini
Charting the Future of Conservation in Arizona: Innovative Strategies for Preserving Its Natural Resources
2024 M. Bodini
Generative Artificial Intelligence and Regulations: Can We Plan a Resilient Journey Toward the Safe Application of Generative Artificial Intelligence?
2024 M. Bodini
Opinion mining from machine translated Bangla reviews with stacked contractive auto-encoders
2023 M. Bodini
DESIGN AND EXPLAINABILITY OF MACHINE LEARNING ALGORITHMS FOR THE CLASSIFICATION OF CARDIAC ABNORMALITIES FROM ELECTROCARDIOGRAM SIGNALS
2022 M. Bodini
A two-steps-ahead estimator for bubble entropy
2021 G. Manis, M. Bodini, M.W. Rivolta, R. Sassi
Classification of ECG Signals with Different Lead Systems Using AutoML
2021 M. Bodini, M.W. Rivolta, R. Sassi
Opening the black box: interpretability of machine learning algorithms in electrocardiography
2021 M. Bodini, M.W. Rivolta, R. Sassi