Dr Christopher Roadknight

Research output

Research output per year 1997 1997 2000 2001 2004 2012 2019 2023

• 17 Conference contribution
• 16 Article
• 2 Chapter
• 2 Patent
• 2 More
  • 1 Paper
  • 1 Conference article

Research output per year

Research output per year

Search results

• 2019

  Improving understanding of EEG measurements using transparent machine learning models

  Roadknight, C., Zong, G. & Rattadilok, P., 8 Oct 2019, Health Information Science - 8th International Conference, HIS 2019, Proceedings. Wang, H., Siuly, S., Zhang, Y., Zhou, R., Martin-Sanchez, F. & Huang, Z. (eds.). Springer Nature, p. 134-142 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11837 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electroencephalography 100%
  • Physiology 77%
  • Machine Learning 69%
  • Transparency 65%
  • Neurons 58%

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

  Rattadilok, P. & Roadknight, C., 17 Jan 2019, Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. Lee, M. J. W., Nikolic, S., Wong, G. K. W., Shen, J., Ros, M., Lei, L. C. U. & Venkatarayalu, N. (eds.). Institute of Electrical and Electronics Engineers (IEEE), p. 802-806 5 p. 8615306. (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Students 100%
  • Feedback 85%
  • learning 46%
  • performance 41%
  • Teaching 39%
  1 Citation (Scopus)

  16 Downloads (Pure)

• Teaching Students about Machine Learning Through a Gamified Approach

  Rattadilok, P., Roadknight, C. & Li, L., 17 Jan 2019, Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. Lee, M. J. W., Nikolic, S., Wong, G. K. W., Shen, J., Ros, M., Lei, L. C. U. & Venkatarayalu, N. (eds.). Institute of Electrical and Electronics Engineers (IEEE), p. 1011-1015 5 p. 8615279. (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Teaching 100%
  • Students 84%
  • Machine learning 83%
  • Gamification 75%
  • learning 38%
  8 Citations (Scopus)

  69 Downloads (Pure)

• Teaching Key Machine Learning Principles Using Anti-learning Datasets

  Roadknight, C., Rattadilok, P. & Aickelin, U., 16 Jan 2019, Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. Lee, M. J. W., Nikolic, S., Wong, G. K. W., Shen, J., Ros, M., Lei, L. C. U. & Venkatarayalu, N. (eds.). Institute of Electrical and Electronics Engineers (IEEE), p. 960-964 5 p. 8615252. (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Teaching 100%
  • Machine learning 83%
  • learning 38%
  • teaching method 33%
  • Students 28%
  1 Citation (Scopus)
• 2015

  An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates

  Roadknight, C., Suryanarayanan, D., Aickelin, U., Scholefield, J. & Durrant, L., 2 Dec 2015, Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015. Pasi, G., Kwok, J., Zaiane, O., Gallinari, P., Gaussier, E. & Cao, L. (eds.). Institute of Electrical and Electronics Engineers (IEEE), 7344863. (Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Tumor 100%
  • Machine Learning 92%
  • Survival Rate 88%
  • Learning Methods 87%
  • Tumors 71%
  2 Citations (Scopus)
• 2013

  Ensemble learning of colorectal cancer survival rates

  Roadknight, C., Aickelin, U., Scholefield, J. & Durrant, L., 2013, 2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2013 - Proceedings. p. 82-86 5 p. 6617400. (2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2013 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Ensemble Learning 100%
  • Colorectal Cancer 86%
  • Learning systems 56%
  • Tumor 44%
  • Tumors 34%
  2 Citations (Scopus)
• 2012

  Biomarker clustering of colorectal cancer data to complement clinical classification

  Roadknight, C., Aickelin, U., Ladas, A., Soria, D., Scholefield, J. & Durrant, L., 2012, 2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012. Institute of Electrical and Electronics Engineers (IEEE), p. 187-191 5 p. 6354464. (2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Biomarkers 100%
  • Tumors 82%
  • Physiology 16%
  3 Citations (Scopus)

• Extending a microsimulation of the port of dover

  Roadknight, C. & Aickelin, U., 2012, 2012 Operational Research Society Simulation Workshop, SW 2012. Tjahjono, B., Heavey, C., Onggo, S. & van der Zee, D-J. (eds.). Operational Research Society, p. 165-170 6 p. (2012 Operational Research Society Simulation Workshop, SW 2012).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Microsimulation 100%
  • Airports 57%
  • Planning 36%
  • Feedback 36%
  • Traffic 32%
  1 Citation (Scopus)

• Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters

  Roadknight, C., Aickelin, U., Qiu, G., Scholefield, J. & Durrant, L., 2012, Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012. p. 797-802 6 p. 6377825. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Cytology 100%
  • Supervised learning 73%
  • Tumors 71%
  • Machine learning 10%
  6 Citations (Scopus)
• 2005

  An intelligent sensor network for oceanographic data acquisition

  Roadknight, C., Gonzalez, A., Parrot, L., Boult, S. & Marshall, I., 2005, Ad-Hoc, Mobile, and Wireless Networks - 4th International Conference, ADHOC-NOW 2005, Proceedings. p. 235-243 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3738 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data Acquisition 100%
  • Sensor Networks 97%
  • Hardware 84%
  • Sensor networks 60%
  • Data acquisition 59%
  2 Citations (Scopus)

• SECOAS - A wireless sensor network for oceanography

  Tateson, J. & Roadknight, C., 2005, Perspectives in Pervasive Computing. 1 ed. p. 65-73 9 p. (IET Seminar Digest; vol. 2005, no. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Oceanography 100%
  • Sensor networks 55%
  • Wireless sensor networks 50%
  • Artificial intelligence 28%
  • Monitoring 17%
• 2004

  A layered approach to in situ data management on a wireless sensor network

  Roadknight, C., Parrott, L., Boyd, N. & Marshall, I. W., 2004, Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04. Palaniswami, M., Krishnamachari, B., Sowmya, A., Challa, S., Palaniswami, M., Krishnamachari, B., Sowmya, A. & Challa, S. (eds.). p. 85-90 6 p. (Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data handling 100%
  • Statistical tests 97%
  • Information management 77%
  • Time series 72%
  • Wireless sensor networks 65%
  9 Citations (Scopus)

• Reinforced snap-drift learning for proxylet selection in active computer networks

  Lee, S. W., Palmer-Brown, D. & Roadknight, C., 2004, 2004 IEEE International Joint Conference on Neural Networks - Proceedings. p. 1545-1550 6 p. (IEEE International Conference on Neural Networks - Conference Proceedings; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computer networks 100%
  • Vector quantization 54%
  • Adaptive systems 53%
  • Reinforcement 38%
  • Neural networks 29%
  6 Citations (Scopus)
• 2001

  A novel architecture for active service management

  Marshall, I. W., Gharib, H., Hardwicke, J. & Roadknight, C., 2001, 2001 7th IEEE/IFIP International Symposium on Integrated Network Management Proceedings: Integrated Management Strategies for the New Millennium. Pavlou, G., Liotta, A. & Anerousis, N. (eds.). Institute of Electrical and Electronics Engineers (IEEE), p. 795-810 16 p. 918081. (2001 7th IEEE/IFIP International Symposium on Integrated Network Management Proceedings: Integrated Management Strategies for the New Millennium).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Service Management 100%
  • Active networks 18%
  • Cost Management 17%
  • Adaptive algorithms 13%
  • Management System 12%
  17 Citations (Scopus)
• 1999

  Modelling http traffic generated by community of users

  Bilchev, G., Marshall, I., Olafsson, S. & Roadknight, C., 1999, High-Performance Computing and Networking - 7th International Conference, HPCN Europe 1999, Proceedings. Sloot, P., Hoekstra, A., Hertzberger, B. & Bubak, M. (eds.). Springer Nature, p. 1266-1269 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1593).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Traffic Modeling 100%
  • Cache 89%
  • Community 61%
  • Internet Traffic 47%
  • Internet 40%
• 1997

  Correlated activity pruning (CAPing)

  Roadknight, C. M., Palmer-Brown, D. & Mills, G. E., 1997, Computational Intelligence: Theory and Applications - International Conference, 5th Fuzzy Days, 1997, Proceedings. Reusch, B. (ed.). Springer Nature, p. 591-592 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1226).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Pruning 100%
  • Network architecture 72%
  • Chemical activation 69%
  • Network Architecture 59%
  • Unit 53%
  2 Citations (Scopus)

• The analysis of artificial neural network data models

  Roadknight, C. M., Palmer-Brown, D. & Mills, G. E., 1997, Advances in Intelligent Data Analysis: Reasoning about Data - 2nd International Symposium, IDA-1997, Proceedings. Liu, X., Cohen, P. & Berthold, M. (eds.). Springer Nature, p. 337-346 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1280).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Artificial Neural Network 100%
  • Network Model 90%
  • Data Model 88%
  • Merging 76%
  • Chemical activation 69%
  1 Citation (Scopus)