Prapa Rattadilok

发表

Self-learning data processing framework based on computational intelligence enhancing autonomous control by machine intelligence

Andrei Petrovski, Prapa Rattadilok, Prapa Rattadilok, 2014, 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS).

Quantifying the Effects of Temperature and Noise on Attention-Level Using EDA and EEG Sensors

Shanshan Li, Prapa Rattadilok, Zhengrui Xue, 2019, HIS.

Track-Me-Fit: Inferring User Activity through Mobile Phones’ Data

Prapa Rattadilok, Jamie Barrett, 2017 .

A Distributed Hyper-Heuristic for Scheduling

Raymond S. K. Kwan, Prapa Rattadilok, Andy Gaw, 2004 .

Distributed Choice Function Hyper-heuristics for Timetabling and Scheduling

Raymond S. K. Kwan, Prapa Rattadilok, Andy Gaw, 2004, PATAT.

An Investigation and Extension of a Hyper-heuristic Framework

Prapa Rattadilok, 2010, Informatica.

Teaching Students About Machine Learning Through a Gamified Approach

Li Li, Prapa Rattadilok, Chris Roadknight, 2018, 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE).

Inferential measurements for situation awareness

Andrei Petrovski, Prapa Rattadilok, 2013, 2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

Android botnet detection: An integrated source code mining approach

Prapa Rattadilok, Basil Alothman, Prapa Rattadilok, 2017, 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST).

A data fusion framework for large-scale measurement platforms

John A. W. McCall, Trevor Burbridge, Philip Eardley, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Designing a context-aware cyber physical system for detecting security threats in motor vehicles

Andrei Petrovski, Sergey Petrovski, Prapa Rattadilok, 2015, SIN.

Towards using transfer learning for Botnet Detection

Prapa Rattadilok, Basil Alothman, 2017, 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST).

Improving Understanding of EEG Measurements Using Transparent Machine Learning Models

Chris M. Roadknight, Prapa Rattadilok, Guanyu Zong, 2019, HIS.

Sino-UK Educational Differences: The Impacts of Cultures and the Current Educational Curricular on Students in Computer Science

Prapa Rattadilok, Prapa Rattadilok, 2019, Transnational Higher Education in Computing Courses.

Automated inferential measurement system for traffic surveillance: Enhancing situation awareness of UAVs by computational intelligence

Andrei Petrovski, Prapa Rattadilok, Prapa Rattadilok, 2014, 2014 IEEE Symposium on Computational Intelligence in Control and Automation (CICA).

Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance

Andrei Petrovski, Sergey Petrovski, Prapa Rattadilok, 2016, EANN.

Inferential measurements for situation awareness

Andrei Petrovski, Prapa Rattadilok, Prapa Rattadilok, 2013, 2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

Teaching Key Machine Learning Principles Using Anti-learning Datasets

Uwe Aickelin, Prapa Rattadilok, Chris Roadknight, 2018, 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE).

Anomaly Monitoring Framework Based on Intelligent Data Analysis

Andrei Petrovski, Sergey Petrovski, Prapa Rattadilok, 2013, IDEAL.

Improving Student's Engagement Through the Use of Learning Modules, Instantaneous Feedback and Automated Marking

Prapa Rattadilok, Chris Roadknight, Prapa Rattadilok, 2018, 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE).

Dynamically Configured λ-opt Heuristics for Bus Scheduling

Raymond S K Kwan, Prapa Rattadilok, 2006 .