Phillip M. LaCasse

According to our database, Phillip M. LaCasse authored at least 8 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., December, 2025

Correction: Leveraging large language models for word sense disambiguation.

Jung H. Yae, Nolan C. Skelly, Neil C. Ranly, Phillip M. LaCasse

Neural Comput. Appl., April, 2025

2024

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., October, 2024

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., December, 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., September, 2023

Emotion classification of Indonesian Tweets using Bidirectional LSTM.

Aaron Glenn, Phillip M. LaCasse, Bruce A. Cox

Neural Comput. Appl., May, 2023

2019

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

Proceedings of the Industrial Applications of Holonic and Multi-Agent Systems, 2019

2018

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