Object-oriented modeling and simulation of flexible manufacturing systems: a rule-based procedure. - Alfredo Anglani; Antonio Grieco; Massimo Pacella; Tullio Tolio (Simul. Model. Pract. Theory, 2002)

Manufacturing process quality control by means of a Fuzzy ART neural network algorithm. - Massimo Pacella; Quirico Semeraro; Alfredo Anglani (ICANNGA, 2003)

Manufacturing quality control by means of a Fuzzy ART network trained on natural process data. - Massimo Pacella; Quirico Semeraro; Alfredo Anglani (Eng. Appl. Artif. Intell., 2004)

Understanding ART-based neural algorithms as statistical tools for manufacturing process quality control. - Massimo Pacella; Quirico Semeraro (Eng. Appl. Artif. Intell., 2005)

Using recurrent neural networks to detect changes in autocorrelated processes for quality monitoring. - Massimo Pacella; Quirico Semeraro (Comput. Ind. Eng., 2007)

On the use of principal component analysis to identify systematic patterns in roundness profiles. - Bianca Maria Colosimo; Massimo Pacella (Qual. Reliab. Eng. Int., 2007)

An Approach Based on Process Signature Modeling for Roundness Evaluation of Manufactured Items. - Giovanni Moroni; Massimo Pacella (J. Comput. Inf. Sci. Eng., 2008)

Monitoring roundness profiles based on an unsupervised neural network algorithm. - Massimo Pacella; Quirico Semeraro (Comput. Ind. Eng., 2011)

A Comparison Study of Distribution-Free Multivariate SPC Methods for Multimode Data. - Marco Grasso; Bianca Maria Colosimo; Quirico Semeraro; Massimo Pacella (Qual. Reliab. Eng. Int., 2015)

On the Use of Self-Organizing Map for Text Clustering in Engineering Change Process Analysis: A Case Study. - Massimo Pacella; Antonio Grieco; Marzia Blaco (Comput. Intell. Neurosci., 2016)

Machine vision based quality control of free-form profiles in automatic cutting processes. - Massimo Pacella; Antonio Grieco; Marzia Blaco (Comput. Ind. Eng., 2017)

Unsupervised classification of multichannel profile data using PCA: An application to an emission control system. - Massimo Pacella (Comput. Ind. Eng., 2018)

An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data. - Mostafa Reisi Gahrooei; Kamran Paynabar; Massimo Pacella; Bianca Maria Colosimo (IISE Trans., 2019)

Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization. - Hao Yan; Kamran Paynabar; Massimo Pacella (Technometrics, 2019)

Fault Diagnosis by Multisensor Data: A Data-Driven Approach Based on Spectral Clustering and Pairwise Constraints. - Massimo Pacella; Gabriele Papadia (Sensors, 2020)

Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression. - Mostafa Reisi Gahrooei; Kamran Paynabar; Massimo Pacella; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2020)

Topic Modeling for Automatic Analysis of Natural Language: A Case Study in an Italian Customer Support Center. - Gabriele Papadia; Massimo Pacella; Vincenzo Giliberti (Algorithms, 2022)

Finite Mixture Models for Clustering Auto-Correlated Sales Series Data Influenced by Promotions. - Massimo Pacella; Gabriele Papadia (Comput., 2022)

Utilizing Mixture Regression Models for Clustering Time-Series Energy Consumption of a Plastic Injection Molding Process. - Massimo Pacella; Matteo Mangini; Gabriele Papadia (Algorithms, 2023)

A Comparison of Different Topic Modeling Methods through a Real Case Study of Italian Customer Care. - Gabriele Papadia; Massimo Pacella; Massimiliano Perrone; Vincenzo Giliberti (Algorithms, 2023)

Sequential sampling for functional estimation via Sieve. - Alessia Benevento; Pouya Ahadi; Swati Gupta; Massimo Pacella; Kamran Paynabar (Qual. Reliab. Eng. Int., 2024)

Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints. - Zihan Zhang; Shancong Mou; Mostafa Reisi Gahrooei; Massimo Pacella; Jianjun Shi 001 (Technometrics, 2024)