Dr. Florence Sia Fui Sze

Dr. Florence Sia Fui Sze

Fakulti Komputeran Dan Informatik, UMS

Dr. Florence Sia Fui Sze is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah. Their research focuses on Data Mining, Machine Learning .

As a member of Fakulti Komputeran Dan Informatik, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.

Dr. Florence Sia Fui Sze holds Ijazah Doktor Falsafah from Universiti Malaysia Sabah , among other qualifications, and has established themselves as a respected expert in their field.

Contact Information

Academic Department

Fakulti Komputeran Dan Informatik, UMS

Appointed Department

Fakulti Komputeran Dan Informatik, UMS

Education

Ijazah Doktor Falsafah

Universiti Malaysia Sabah

2020

Sarjana

Universiti Malaysia Sabah

2014

Sarjana Muda Sains Komputer (kejuruteraan Perisian)

Universiti Malaysia Pahang

2010

Research Collaborators

Research

Projects

1

Active

1

Grants

RM 71,300.00


Research Interests & Expertise

Information And Communication Technology (ict) - Knowledge Representation for Machine Learning

Publications

Total Publications by Year

NOTE: N/A = Data not available, 0 = Data not completed


Scopus Metrics

Scopus Profile

Documents

26

H-Index

4

Citations

63

Affiliation

Universiti Malaysia Sabah

Research listing

Current Research Projects

A contrast subspace mining method using tree technique for high dimensional mixed type data: an application to detect and control diabetes disease

Leader

2023 - 2026

Publications listing

NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED

Showing 1 to 2 of 2 entries

1.

Jamal Ahmad Dargham , Ali Farzamnia , Farashazillah Binti Yahya , Florence Sia Fui Sze , Nur Faraha Bte Hj. Mohd Naim , Ervin Gubin Moung , Lorita Angeline (2023) , On-shore Plastic Waste Detection With Yolov5 And Rgb-near-infrared Fusion: A State-of-the-art Solution For Accurate And Efficient Environmental Monitoring

2.

Mohd. Hanafi Bin Ahmad Hijazi , Florence Sia Fui Sze , Farashazillah Binti Yahya , Ervin Gubin Moung , Jamal Ahmad Dargham , Ali Farzamnia (2023) , Covid-19 Classification Through Deep Learning Models With Three-channel Grayscale Ct Images