Distributed Choice Function Hyper-heuristics for Timetabling and Scheduling. - Prapa Rattadilok; Andy Gaw; Raymond S. K. Kwan (PATAT, 2004)

An Investigation and Extension of a Hyper-heuristic Framework. - Prapa Rattadilok (Informatica (Slovenia), 2010)

Inferential measurements for situation awareness. - Prapa Rattadilok; Andrei Petrovski 001 (CIVEMSA, 2013)

Anomaly Monitoring Framework Based on Intelligent Data Analysis. - Prapa Rattadilok; Andrei Petrovski 001; Sergey Petrovski (IDEAL, 2013)

Automated inferential measurement system for traffic surveillance: Enhancing situation awareness of UAVs by computational intelligence. - Prapa Rattadilok; Andrei Petrovski 001 (CICA, 2014)

Self-learning data processing framework based on computational intelligence enhancing autonomous control by machine intelligence. - Prapa Rattadilok; Andrei Petrovski 001 (EALS, 2014)

A data fusion framework for large-scale measurement platforms. - Prapa Rattadilok; John A. W. McCall; Trevor Burbridge; Andrea Soppera; Philip Eardley (IEEE BigData, 2015)

Designing a context-aware cyber physical system for detecting security threats in motor vehicles. - Andrei Petrovski 001; Prapa Rattadilok; Sergey Petrovski (SIN, 2015)

Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance. - Andrei Petrovski 001; Prapa Rattadilok; Sergey Petrovski (EANN, 2016)

Android botnet detection: An integrated source code mining approach. - Basil Alothman; Prapa Rattadilok (ICITST, 2017)

Towards using transfer learning for Botnet Detection. - Basil Alothman; Prapa Rattadilok (ICITST, 2017)

Improving Student's Engagement Through the Use of Learning Modules, Instantaneous Feedback and Automated Marking. - Prapa Rattadilok; Chris M. Roadknight (TALE, 2018)

Teaching Students About Machine Learning Through a Gamified Approach. - Prapa Rattadilok; Chris M. Roadknight; Li Li (TALE, 2018)

Teaching Key Machine Learning Principles Using Anti-learning Datasets. - Chris M. Roadknight; Prapa Rattadilok; Uwe Aickelin (TALE, 2018)

Improving Understanding of EEG Measurements Using Transparent Machine Learning Models. - Chris M. Roadknight; Guanyu Zong; Prapa Rattadilok (HIS, 2019)

Quantifying the Effects of Temperature and Noise on Attention-Level Using EDA and EEG Sensors. - Zhengrui Xue; Luning Yang; Prapa Rattadilok; Shanshan Li; Longyue Gao (HIS, 2019)

A Sensor and Machine Learning-Based Sensory Management Recommendation System for Children with Autism Spectrum Disorders. - Lingling Deng; Prapa Rattadilok (Sensors, 2022)