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Chris M. Roadknight
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2020 – today
- 2023
- [j11]Shuhui Gong, Xiangrui Dong, Kaiqi Wang, Bingli Lei, Zizhao Jia, Jiaxin Qin, Chris M. Roadknight
, Yu Liu, Rui Cao
Agent-based modelling with geographically weighted calibration for intra-urban activities simulation using taxi GPS trajectories. Int. J. Appl. Earth Obs. Geoinformation 122: 103368 (2023) - 2020
- [i8]Chris M. Roadknight, Prapa Rattadilok, Uwe Aickelin:
Teaching Key Machine Learning Principles Using Anti-learning Datasets. CoRR abs/2011.10660 (2020)
2010 – 2019
- 2019
- [c19]Chris M. Roadknight
Improving Understanding of EEG Measurements Using Transparent Machine Learning Models. HIS 2019: 134-142 - 2018
- [c18]Prapa Rattadilok
Improving Student's Engagement Through the Use of Learning Modules, Instantaneous Feedback and Automated Marking. TALE 2018: 802-806 - [c17]Chris M. Roadknight
Teaching Key Machine Learning Principles Using Anti-learning Datasets. TALE 2018: 960-964 - [c16]Prapa Rattadilok
Teaching Students About Machine Learning Through a Gamified Approach. TALE 2018: 1011-1015 - 2016
- [i7]Christopher M. Roadknight, Durga Suryanarayanan, Uwe Aickelin, John Scholefield, Lindy Durrant:
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates. CoRR abs/1607.06190 (2016) - 2015
- [c15]Christopher M. Roadknight
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates. DSAA 2015: 1-8 - 2014
- [j10]Daphne Teck Ching Lai
A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means. Central Eur. J. Oper. Res. 22(3): 475-499 (2014) - [j9]Qi Chen, Amanda M. Whitbrook, Uwe Aickelin
Data classification using the Dempster-Shafer method. J. Exp. Theor. Artif. Intell. 26(4): 493-517 (2014) - [i6]Qi Chen, Amanda M. Whitbrook, Uwe Aickelin, Chris M. Roadknight:
Data classification using the Dempster-Shafer method. CoRR abs/1409.0763 (2014) - [i5]Chris M. Roadknight, Uwe Aickelin, John Scholefield, Lindy Durrant:
Ensemble Learning of Colorectal Cancer Survival Rates. CoRR abs/1409.0788 (2014) - 2013
- [c14]Chris M. Roadknight
Ensemble learning of colorectal cancer survival rates. CIVEMSA 2013: 82-86 - [i4]Chris M. Roadknight, Uwe Aickelin, Galina Sherman:
Validation of a Microsimulation of the Port of Dover. CoRR abs/1305.7458 (2013) - [i3]Christopher M. Roadknight, Uwe Aickelin:
Extending a Microsimulation of the Port of Dover. CoRR abs/1307.1598 (2013) - [i2]Chris M. Roadknight, Uwe Aickelin, Guoping Qiu, John Scholefield, Lindy Durrant:
Supervised Learning and Anti-learning of Colorectal Cancer Classes and Survival Rates from Cellular Biology Parameters. CoRR abs/1307.1599 (2013) - [i1]Chris M. Roadknight, Uwe Aickelin, Alex Ladas, Daniele Soria, John Scholefield, Lindy Durrant:
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification. CoRR abs/1307.1601 (2013) - 2012
- [j8]Chris M. Roadknight
Validation of a microsimulation of the Port of Dover. J. Comput. Sci. 3(1-2): 56-66 (2012) - [c13]Chris M. Roadknight, Uwe Aickelin, Alex Ladas, Daniele Soria, John Scholefield, Lindy Durrant:
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification. FedCSIS 2012: 187-191 - [c12]Chris M. Roadknight
Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters. SMC 2012: 797-802
2000 – 2009
- 2005
- [j7]Chris M. Roadknight, Laura Parrot, Nathan Boyd, Ian W. Marshall:
Real-Time Data Management on a Wireless Sensor Network. Int. J. Distributed Sens. Networks 1(2): 215-225 (2005) - [c11]Chris M. Roadknight
An Intelligent Sensor Network for Oceanographic Data Acquisition. ADHOC-NOW 2005: 235-243 - 2004
- [j6]Sin Wee Lee, Dominic Palmer-Brown, Chris M. Roadknight
Performance-guided neural network for rapidly self-organising active network management. Neurocomputing 61: 5-20 (2004) - 2002
- [c10]Sin Wee Lee, Dominic Palmer-Brown, Jonathan A. Tepper, Chris M. Roadknight:
Performance-guided Neural Network for Rapidly Self-Organising Active Network Management. HIS 2002: 21-31 - 2001
- [j5]Ian W. Marshall, Chris M. Roadknight
Provision of quality of service for active services. Comput. Networks 36(1): 75-85 (2001) - [c9]Daniel Stow, Chris M. Roadknight
Antigens, Antibodies, and the World Wide Web. ECAL 2001: 161-165 - [c8]Ian W. Marshall, Chris M. Roadknight
Emergent Organisation in Colonies of Simple Automata. ECAL 2001: 349-356 - [c7]Ian W. Marshall, Hamid Gharib, Jim Hardwicke, Chris M. Roadknight
A novel architecture for active service management. Integrated Network Management 2001: 795-810 - [c6]Ian W. Marshall, Chris M. Roadknight
Management of future data networks. SMC 2001: 1143-1148 - 2000
- [j4]Chris M. Roadknight, Ian W. Marshall, Debbie Vearer:
File popularity characterisation. SIGMETRICS Perform. Evaluation Rev. 27(4): 45-50 (2000) - [c5]Chris M. Roadknight, Ian W. Marshall:
Differentiated Quality of Service in Application Layer Active Networks. IWAN 2000: 358-370
1990 – 1999
- 1999
- [c4]George Bilchev, Ian W. Marshall, Sverrir Olafsson, Chris M. Roadknight
Modelling HTTP Traffic Generated by Community of Users. HPCN Europe 1999: 1266-1269 - 1998
- [j3]Chris M. Roadknight
Variations in Cache Behavior. Comput. Networks 30(1-7): 733-735 (1998) - [j2]Ian W. Marshall, Chris M. Roadknight:
Linking Cache Performance to User Behaviour. Comput. Networks 30(22-23): 2123-2130 (1998) - 1997
- [j1]Chris M. Roadknight
Modeling complex environmental data. IEEE Trans. Neural Networks 8(4): 852-862 (1997) - [c3]Chris M. Roadknight
Correlated Activity Pruning (CAPing). Fuzzy Days 1997: 591-592 - [c2]Chris M. Roadknight
The Analysis of Artificial Neural Network Data Models. IDA 1997: 337-346 - 1995
- [c1]Chris M. Roadknight, Dominic Palmer-Brown, G. E. Sanders:
Learning the Equations of Data. SNN Symposium on Neural Networks 1995: 253-256
Coauthor Index
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