A hierarchical, fuzzy inference approach to data filtration and feature prioritization in the connected manufacturing enterprise. - Phillip M. LaCasse; Wilkistar Otieno; Francisco P. Maturana (J. Big Data, 2018)

Operationalization of a Machine Learning and Fuzzy Inference-Based Defect Prediction Case Study in a Holonic Manufacturing System. - Phillip M. LaCasse; Wilkistar Otieno; Francisco P. Maturana (HoloMAS, 2019)

Emotion classification of Indonesian Tweets using Bidirectional LSTM. - Aaron Glenn; Phillip M. LaCasse; Bruce A. Cox (Neural Comput. Appl., 2023)

Learning with supervised data for anomaly detection in smart manufacturing. - Meiling He; Matthew E. H. Petering; Phillip M. LaCasse; Wilkistar Otieno; Francisco P. Maturana (Int. J. Comput. Integr. Manuf., 2023)

Social network analysis of Twitter interactions: a directed multilayer network approach. - Austin P. Logan; Phillip M. LaCasse; Brian J. Lunday (Soc. Netw. Anal. Min., 2023)

Natural language processing analysis of online reviews for small business: extracting insight from small corpora. - Benjamin J. McCloskey; Phillip M. LaCasse; Bruce A. Cox (Ann. Oper. Res., 2024)

Correction: Leveraging large language models for word sense disambiguation. - Jung H. Yae; Nolan C. Skelly; Neil C. Ranly; Phillip M. LaCasse (Neural Comput. Appl., 2025)

Exploring emotion classification of indonesian tweets using large scale transfer learning via IndoBERT. - Connor Shaw; Phillip M. LaCasse; Lance E. Champagne (Soc. Netw. Anal. Min., 2025)