ISIITA 2024

UNIVERSITY OF THE PHILIPPINES CEBU AND CRIMSON RESORT & SPA MACTAN, CEBU

Cebu island, Philippines

January 15 ~ 18

Session 1: Analyzing and Optimizing for Deep Learning
Chair: Yoosoo Oh
ROOM: Performing Arts Hall

10:30 ~

A Study on Performance Analysis of RNN Architecture Using Unbalanced Network Dataset

Donghwoon Kwon, Asser Nasser Moustafa, and Jeong-Tak Ryu

A Study on Prediction of Closing Stock Prices Using a Convolutional Neural Network Model

Even Nybo, Joshua Buhr, Nicklaus Campanella, and Donghwoon Kwon

Feasibility of Transfer Learning for Network Anomaly Detection

Donghwoon Kwon, Naveen Chennaiepalem, Junekyoung Lee, and Jinoh Kim

Active and Passive Learning Approaches in Computer-mediated Platform do not significantly differ in e-Learning Gains

Ethan Chav Isaac P. Sumalinog, and Demelo M. Lao

A Deep Learning Framework for Protecting Personal Computers from Unauthorized Mobile Screen Recordings

Ihsan Ullah,Rock Hyun Choi, and Hyunki Lee

Automatic Data Transformation System for Regressor and Classifier

Sehyun Myeong, and Yoosoo Oh