A
PROFILE
UPM's Staff Profile
PROF. MADYA DR. RAZALI BIN YAAKOB
ASSOCIATE PROFESSOR
FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY
razaliy@upm.edu.my
razaliy
BM
EN

PROFESSIONAL

NAME :
(Prof. Madya Dr.) RAZALI BIN YAAKOB
POST :
ASSOCIATE PROFESSOR
ENTITY :
Faculty of Computer Science and Information Technology

FIELD OF SUPERVISION
COMPUTABLE STRUCTURES AND SCIENTIFICS COMPUTING / COMPUTER AND EMBEDDED SYSTEMS ENGINEERING / DATA SCIENCE / INTELLIGENT SYSTEMS


PUBLICATION
2025
Optimality Versus Generality: Performance Assessment of Meta-Heuristics in Educational Timetabling
2025
Artificial intelligence-powered tuberculosis detection with complementary domain attention model
2023
Meta-heuristic approaches for the University Course Timetabling Problem
2023
TBVA-GAN: A CLASS ACTIVATION MAPPING-GUIDED TUBERCULOSIS VISUAL ATTRIBUTION GENERATIVE ADVERSARIAL NETWORK
2021
Determining Importance of Many-Objective Optimisation Competitive Algorithms Evaluation Criteria Based on a Novel Fuzzy-Weighted Zero-Inconsistency Method
2020
Review of the Research Landscape of Multi-criteria Evaluation and Bench- marking Processes for Many-objective Optimisation Methods: Coherent Taxonomy, Challenges and Recommended Solution
2019
Ensemble deep learning for tuberculosis detection
2019
Artificial Intelligence in Diagnosing Tuberculosis: A Review
2019
Evaluating Genetic K-means Algorithm Based on Generalized Dunn Indexes for Data Clustering
2019
Detection of pulmonary tuberculosis manifestation in chest X-rays using different convolutional neural network (CNN) models
2018
A Review on Z-Numbers
2017
A Framework for University Entry Selection using Neural Network
2015
Advances in document clustering with evolutionary-based algorithms
2015
Progressive Motion Border Image and Multi-Class SVM for Multi-View Human Activity Recognition
2015
Burn Area Processing to Generate False Alarm Data for Hotspot Prediction Models
2014
A Decision Tree Based on Spatial Relationships for Predicting Hotspots in Peatlands
2013
Classification Model for Hotspot Occurrences Using Spatial Decision Tree Algorithm
2013
Predictive Models for Hotspots Occurence Using Decision Tree Algorithms and Logistic Regression
2012
Application of Classification Algorithms in Data Mining for Hotspots Occurence Prediction in Riau Province Indonesia