Massimo Pacella
Orcid: 0000-0002-3712-7932
According to our database1,
Massimo Pacella
authored at least 20 papers
between 2002 and 2023.
Collaborative distances:
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Bibliography
2023
A Comparison of Different Topic Modeling Methods through a Real Case Study of Italian Customer Care.
Algorithms, February, 2023
Utilizing Mixture Regression Models for Clustering Time-Series Energy Consumption of a Plastic Injection Molding Process.
Algorithms, 2023
2022
Finite Mixture Models for Clustering Auto-Correlated Sales Series Data Influenced by Promotions.
Comput., 2022
Topic Modeling for Automatic Analysis of Natural Language: A Case Study in an Italian Customer Support Center.
Algorithms, 2022
2020
Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression.
IEEE Trans Autom. Sci. Eng., 2020
Fault Diagnosis by Multisensor Data: A Data-Driven Approach Based on Spectral Clustering and Pairwise Constraints.
Sensors, 2020
2019
Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization.
Technometrics, 2019
An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data.
IISE Trans., 2019
2018
Unsupervised classification of multichannel profile data using PCA: An application to an emission control system.
Comput. Ind. Eng., 2018
2017
Machine vision based quality control of free-form profiles in automatic cutting processes.
Comput. Ind. Eng., 2017
2016
On the Use of Self-Organizing Map for Text Clustering in Engineering Change Process Analysis: A Case Study.
Comput. Intell. Neurosci., 2016
2015
Qual. Reliab. Eng. Int., 2015
2011
Comput. Ind. Eng., 2011
2008
An Approach Based on Process Signature Modeling for Roundness Evaluation of Manufactured Items.
J. Comput. Inf. Sci. Eng., 2008
2007
On the use of principal component analysis to identify systematic patterns in roundness profiles.
Qual. Reliab. Eng. Int., 2007
Using recurrent neural networks to detect changes in autocorrelated processes for quality monitoring.
Comput. Ind. Eng., 2007
2005
Understanding ART-based neural algorithms as statistical tools for manufacturing process quality control.
Eng. Appl. Artif. Intell., 2005
2004
Manufacturing quality control by means of a Fuzzy ART network trained on natural process data.
Eng. Appl. Artif. Intell., 2004
2003
Manufacturing process quality control by means of a Fuzzy ART neural network algorithm.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003
2002
Object-oriented modeling and simulation of flexible manufacturing systems: a rule-based procedure.
Simul. Model. Pract. Theory, 2002