Justin Leo

According to our database, Justin Leo authored at least 6 papers between 2019 and 2026.

Collaborative distances:

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

2026

Analyzing shallow and deep classifiers in detecting unseen attacks on internet of things network.

Lekhika Chettri, Justin Leo, Swarup Roy, Jugal Kalita

Peer Peer Netw. Appl., May, 2026

2025

Generative Network Correction to Promote Incremental Learning.

Justin Leo, Jugal Kalita

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

2024

Survey of continuous deep learning methods and techniques used for incremental learning.

Justin Leo, Jugal Kalita

Neurocomputing, 2024

2023

Utilizing Priming to Identify Optimal Class Ordering to Alleviate Catastrophic Forgetting.

Gabriel Mantione-Holmes, Justin Leo, Jugal Kalita

Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

2022

Incremental Deep Neural Network Learning Using Classification Confidence Thresholding.

Justin Leo, Jugal Kalita

IEEE Trans. Neural Networks Learn. Syst., 2022

2019

Moving Towards Open Set Incremental Learning: Readily Discovering New Authors.

Justin Leo, Jugal Kalita

CoRR, 2019