A convergent and fully distributable SVMs training algorithm. - Andrea Manno; Simone Sagratella; Lorenzo Livi (IJCNN, 2016)

Decomposition Techniques for Multilayer Perceptron Training. - Luigi Grippo; Andrea Manno; Marco Sciandrone (IEEE Trans. Neural Networks Learn. Syst., 2016)

Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training. - Andrea Manno; Laura Palagi; Simone Sagratella (Comput. Optim. Appl., 2018)

Case Article - Production and Distribution Optimization of Beach Equipment for the Marinero Company. - Andrea Manno; Laura Palagi; Simone Sagratella (INFORMS Trans. Educ., 2019)

Case - Production and Distribution Optimization of Beach Equipment for the Marinero Company. - Andrea Manno; Laura Palagi; Simone Sagratella (INFORMS Trans. Educ., 2019)

On multivariate randomized classification trees: l0-based sparsity, VC dimension and decomposition methods. - Edoardo Amaldi; Antonio Consolo; Andrea Manno (CoRR, 2021)

On multivariate randomized classification trees: l0-based sparsity, VC dimension and decomposition methods. - Edoardo Amaldi; Antonio Consolo; Andrea Manno (Comput. Oper. Res., 2023)

Comparing deep and shallow neural networks in forecasting call center arrivals. - Andrea Manno; Fabrizio Rossi; Stefano Smriglio; Luigi Cerone (Soft Comput., 2023)

Modelling Sensors Degradation for Water Quality Monitoring: A Data-Driven Approach. - Marino Pavone; Nicola Epicoco; Giordano Pola; Andrea Manno (CASE, 2024)

Predicting costs of local public bus transport services through machine learning methods. - Andrea Amicosante; Alessandro Avenali; Tiziana D'alfonso; Mirko Giagnorio; Andrea Manno; Giorgio Matteucci (Expert Syst. Appl., 2025)

Soft regression trees: a model variant and a decomposition training algorithm. - Antonio Consolo; Edoardo Amaldi; Andrea Manno (CoRR, 2025)