Massimo Pacella

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 13

Top Topics

Unsupervised Classification

Customer Support

Text Clustering

Top Venues

Comput. Ind. Eng.

Comput. Intell. Neurosci.

Publications

Massimo Pacella, Matteo Mangini, Gabriele Papadia
Utilizing Mixture Regression Models for Clustering Time-Series Energy Consumption of a Plastic Injection Molding Process. Algorithms 16 (11) (2023)
Gabriele Papadia, Massimo Pacella, Massimiliano Perrone, Vincenzo Giliberti
A Comparison of Different Topic Modeling Methods through a Real Case Study of Italian Customer Care. Algorithms 16 (2) (2023)
Massimo Pacella, Gabriele Papadia
Finite Mixture Models for Clustering Auto-Correlated Sales Series Data Influenced by Promotions. Comput. 10 (2) (2022)
Gabriele Papadia, Massimo Pacella, Vincenzo Giliberti
Topic Modeling for Automatic Analysis of Natural Language: A Case Study in an Italian Customer Support Center. Algorithms 15 (6) (2022)
Mostafa Reisi Gahrooei, Kamran Paynabar, Massimo Pacella, Jianjun Shi
Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression. IEEE Trans Autom. Sci. Eng. 17 (2) (2020)
Massimo Pacella, Gabriele Papadia
Fault Diagnosis by Multisensor Data: A Data-Driven Approach Based on Spectral Clustering and Pairwise Constraints. Sensors 20 (24) (2020)
Mostafa Reisi Gahrooei, Kamran Paynabar, Massimo Pacella, Bianca Maria Colosimo
An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data. IISE Trans. 51 (11) (2019)
Hao Yan, Kamran Paynabar, Massimo Pacella
Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization. Technometrics 61 (3) (2019)
Hao Yan, Kamran Paynabar, Massimo Pacella
Structured Point Cloud Data Analysis via Regularized Tensor Regression for Process Modeling and Optimization. CoRR (2018)
Massimo Pacella
Unsupervised classification of multichannel profile data using PCA: An application to an emission control system. Comput. Ind. Eng. 122 (2018)
Massimo Pacella, Antonio Grieco, Marzia Blaco
Machine vision based quality control of free-form profiles in automatic cutting processes. Comput. Ind. Eng. 109 (2017)
Massimo Pacella, Antonio Grieco, Marzia Blaco
On the Use of Self-Organizing Map for Text Clustering in Engineering Change Process Analysis: A Case Study. Comput. Intell. Neurosci. 2016 (2016)
Marco Grasso, Bianca Maria Colosimo, Quirico Semeraro, Massimo Pacella
A Comparison Study of Distribution-Free Multivariate SPC Methods for Multimode Data. Qual. Reliab. Eng. Int. 31 (1) (2015)
Massimo Pacella, Quirico Semeraro
Monitoring roundness profiles based on an unsupervised neural network algorithm. Comput. Ind. Eng. 60 (4) (2011)
Giovanni Moroni, Massimo Pacella
An Approach Based on Process Signature Modeling for Roundness Evaluation of Manufactured Items. J. Comput. Inf. Sci. Eng. 8 (2) (2008)
Bianca Maria Colosimo, Massimo Pacella
On the use of principal component analysis to identify systematic patterns in roundness profiles. Qual. Reliab. Eng. Int. 23 (6) (2007)
Massimo Pacella, Quirico Semeraro
Using recurrent neural networks to detect changes in autocorrelated processes for quality monitoring. Comput. Ind. Eng. 52 (4) (2007)
Massimo Pacella, Quirico Semeraro
Understanding ART-based neural algorithms as statistical tools for manufacturing process quality control. Eng. Appl. Artif. Intell. 18 (6) (2005)
Massimo Pacella, Quirico Semeraro, Alfredo Anglani
Manufacturing quality control by means of a Fuzzy ART network trained on natural process data. Eng. Appl. Artif. Intell. 17 (1) (2004)
Massimo Pacella, Quirico Semeraro, Alfredo Anglani
Manufacturing process quality control by means of a Fuzzy ART neural network algorithm. ICANNGA (2003)
Alfredo Anglani, Antonio Grieco, Massimo Pacella, Tullio Tolio
Object-oriented modeling and simulation of flexible manufacturing systems: a rule-based procedure. Simul. Model. Pract. Theory 10 (3-4) (2002)