Final Defense of Mr. Meljohn Ugaddan
Online
09 May 2025 03:30 pm
-
09 May 2025 05:00 pm
The Department of Information Systems and Computer Science
invites you to the Thesis entitled
“NoiseSCL: A Cost-Effective LLM-Based Method for Handling Noisy Labels with Supervised Contrastive Learning”
by
Meljohn Ugaddan
MS CS
Adviser: Raphael B. Alampay, PhD
Panel Members:
Marlene M. De Leon, PhD
John Noel C. Victorino, PhD
Atty. Kennedy E. Espina
Schedule: 09 May 2025
3:30pm - 5:00pm
Online