Russel L. Pears

Previous Scheduled Teaching

Published Intellectual Contributions

Conference Proceeding

• Pears, R.L. (2022). Utilizing Noise as an Attack Independent Measure for Representing Privacy in Logistic Cumulative Noise Addition.
• Pears, R. (2021). Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. Yes, this was part of Ben Halstead's PhD research whom I supervised when I was in New Zealand. 2021 IEEE 37th International Conference on Data Engineering (ICDE). https://ieeexplore.ieee.org/abstract/document/9458895

Journal Article

• Pears, R. (2022). Novel method for optimizing performance in resource constrained distributed data streams. Yes, this is a paper that is part of Rashi Bhalla PhD research. Rashi is a former PhD student of mine.. 1-19. New York, Springer. https://doi.org/10.1007/s10489-021-03019-5
• Pears, R. (2021). Analyzing and repairing concept drift adaptation in data stream classification. Yes, part of Ben Halstead's PhD research which I supervised along with members of staff at the University of Auckland, New Zealand. 1-35. Springer. https://link.springer.com/article/10.1007/s10994-021-05993-w
• Pears, R. (2021). Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency. 35 796-836. SpringerLink. https://link.springer.com/article/10.1007/s10618-021-00736-w
• Pears, R. (2021). Topical affinity in short text microblogs. Yes, this was part of Herman Wandabwa's work whom I supervised when I was at the Auckland University of Technology in New Zealand. Wiley.
• Pears, R.L. Multi-interest semantic changes over time in short-text microblogs. 228 (27) Elsevier. https://doi.org/10.1016/j.knosys.2021.107249

Contracts, Grants and Sponsored Research

Contract

• Pears, R.L., "Generating Predicate Calculus Rules from Cyber Security Recommendations specified in English," sponsored by University of North Texas, University of North Texas, $7500 Funded. (2023 - 2023).