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
3
Active
1
Grants
RM 171,800.00
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 ProfileDocuments
27
H-Index
5
Citations
71
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
Jamal Ahmad Dargham , Ali Farzamnia , Farashazillah Binti Yahya , Ervin Gubin Moung , Florence Sia Fui Sze , Nur Faraha Bte Hj. Mohd Naim , 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
Ervin Gubin Moung , Jamal Ahmad Dargham , Florence Sia Fui Sze , Farashazillah Binti Yahya , Mohd. Hanafi Bin Ahmad Hijazi , Ali Farzamnia (2023), Covid-19 Classification Through Deep Learning Models With Three-channel Grayscale Ct Images