Mark Robinson

42 papers A* 2B 2C 5Misc 1Journal 16Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
3-D Visualization of New Hybrid-Rotational Ground-Penetrating Radar for Subsurface Inspection of Transport Infrastructure.
IEEE Trans. Geosci. Remote. Sens.
Thomas McDonald, Alain Plattner, Craig Warren, Mark Robinson, Guiyun Tian
2025 J jnl
Corrections to "Novel Impedance Sensing via Semiconductor Strain Gauge and Magnetic Resonant Coupling for Wireless Force Measurement".
IEEE Trans. Instrum. Meas.
Changrong Yang, Gui-Yun Tian, Mark Robinson, Qiuping Ma, Lawal Umar Daura, Emmanuel Tashiwa Ibrahim
2025 J jnl
Novel Impedance Sensing via Semiconductor Strain Gauge and Magnetic Resonant Coupling for Wireless Force Measurement.
IEEE Trans. Instrum. Meas.
Changrong Yang, Gui-Yun Tian, Mark Robinson, Qiuping Ma, Lawal Umar Daura, Emmanuel Tashiwa Ibrahim
2024 J jnl
Network revenue management game in the railway industry: Stackelberg equilibrium, global optimality, and mechanism design.
Eur. J. Oper. Res.
Dongjun Li, Dewan Md Zahurul Islam, Mark Robinson, Dong-Ping Song, Jingxin Dong, Marc Reimann
2024 — conf
Steel Stress Measurement Using an Orthogonal LC Resonance Sensor and Chip-Based Frequency and Impedance System.
I2MTC
Changrong Yang, Guiyun Tian, Mark Robinson, Emmanuel Tashiwa Ibrahim
2023 J jnl
Feature Identification Framework for Back Injury Risk in Repetitive Work With Application in Sheep Shearing.
IEEE Trans. Biomed. Eng.
Mark Robinson, Lei Lu, Ying Tan, Denny Oetomo, Chris Manzie
2021 J jnl
A Gans-Based Deep Learning Framework for Automatic Subsurface Object Recognition From Ground Penetrating Radar Data.
IEEE Access
Xin Zhang, Liangxiu Han, Mark Robinson, Anthony Gallagher
2021 — conf
A Weak Monotonicity Based Muscle Fatigue Detection Algorithm for a Short-Duration Poor Posture Using sEMG Measurements.
EMBC
Xinliang Guo, Lei Lu, Mark Robinson, Ying Tan, Kusal Goonewardena, Denny Oetomo
2021 — conf
Evaluation of ceiling-supported back harnesses in preventing injury in sheep shearing.
EMBC
Mark Robinson, Ying Tan, Kusal Goonewardena, Denny Oetomo, Chris Manzie
2020 — conf
Enabling context aware data analysis for long-duration repetitive stooped work through human activity recognition in sheep shearing.
EMBC
Mark Robinson, Lei Lu, Ying Tan, Kusal Goonewardena, Denny Oetomo, Chris Manzie
2019 — conf
Effects of varying the rest period on the onset angle of lumbar flexion-relaxation in simulated sheep shearing: a preliminary study.
ICORR
Mark Robinson, Raphael M. Mayer, Ying Tan, Denny Oetomo, Chris Manzie
2018 J jnl
A digital expression method for the module interface in a practical bus chassis modular design and case history.
Concurr. Eng. Res. Appl.
Qian Peng, Sheng Liu, Mark Robinson, Feng-gang Han, Emmanuel Matsika
2016 — conf
A Template-Based Test-Authoring Tool to Write Quality Tests for Requirements Validation.
APRES
Nor Aiza Moketar, Massila Kamalrudin, Safiah Sidek, Suriati Akmal, Mark Robinson
2016 A* conf
An automated collaborative requirements engineering tool for better validation of requirements.
ASE
Nor Aiza Moketar, Massila Kamalrudin, Safiah Sidek, Mark Robinson, John C. Grundy
2016 — conf
TestMEReq: generating abstract tests for requirements validation.
SER&IP@ICSE
Nor Aiza Moketar, Massila Kamalrudin, Safiah Sidek, Mark Robinson, John C. Grundy
2015 J jnl
European freight rolling stock fleet size in 2050 in light of the Transport White Paper 2011.
J. Rail Transp. Plan. Manag.
Dewan Md Zahurul Islam, Ross Jackson, Mark Robinson
2014 C conf
Automatic Acceptance Test Case Generation From Essential Use Cases.
SoMeT
Massila Kamalrudin, M. Nor Aiza, John C. Grundy, John G. Hosking, Mark Robinson
2014 — conf
Exploring end-user smartphone security awareness within a South African context.
ISSA
Jacques Ophoff, Mark Robinson
2012 C conf
Formal Analysis of Sequence Diagram with Combined Fragments.
ICSOFT
Hui Shen, Mark Robinson, Jianwei Niu
2012 — conf
Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples.
IPCAT
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2012 C conf
Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites.
EANN
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2011 — conf
Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions.
EvoBio
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2011 J jnl
Evolving the face of a criminal: how to search a face space more effectively.
Soft Comput.
Charlie D. Frowd, Vicki Bruce, Melanie Pitchford, Carol Gannon, Mark Robinson, Colin Tredoux, Jo Park, Alex H. McIntyre, Peter J. B. Hancock
2011 A* conf
GitBAC: Flexible access control for non-modular concerns.
ASE
Mark Robinson, Jianwei Niu, Macneil Shonle
2010 J jnl
Evolving the memory of a criminal's face: methods to search a face space more effectively.
Soft Comput.
Charlie D. Frowd, Vicki Bruce, Melanie Pitchford, Carol Gannon, Mark Robinson, Colin Tredoux, Jo Park, Alex H. McIntyre, Peter J. B. Hancock
2010 C conf
Using Randomised Vectors in Transcription Factor Binding Site Predictions.
ICMLA
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2009 J jnl
Integrating genomic binding site predictions using real-valued meta classifiers.
Neural Comput. Appl.
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2009 J jnl
Using pre & post-processing methods to improve binding site predictions.
Pattern Recognit.
Yi Sun, Cristina González Castellano, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey
2008 J jnl
Combining experts in order to identify binding sites in yeast and mouse genomic data.
Neural Networks
Mark Robinson, Cristina González Castellano, Faisal Ibne Rezwan, Rod Adams, Neil Davey, Alistair G. Rust, Yi Sun
2008 — conf
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines.
ICANN (2)
Yi Sun, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey
2008 J jnl
Using Intelligent Agents to understand organisational behaviour
CoRR
Helen Celia, Christopher Clegg, Mark Robinson, Peer-Olaf Siebers, Uwe Aickelin, Christine Sprigg
2007 — conf
Evolving the Face of a Criminal: How to Search a Face Space More Effectively.
BLISS
Charlie D. Frowd, Vicki Bruce, Carol Gannon, Mark Robinson, Colin Tredoux, Jo Park, Alex H. McIntyre, Peter J. B. Hancock
2007 — conf
Identifying Binding Sites in Sequential Genomic Data.
ICANN (2)
Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun
2007 C conf
Predicting Binding Sites in the Mouse Genome.
ICMLA
Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust
2007 J jnl
The NetBuilder' project: development of a tool for constructing, simulating, evolving, and analysing complex regulatory networks.
BMC Syst. Biol.
Katja Wegner, Johannes F. Knabe, Mark Robinson, Attila Egri-Nagy, Maria J. Schilstra, Chrystopher L. Nehaniv
2007 — conf
Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions.
ICANNGA (1)
Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2006 Misc conf
Improving Computational Predictions of Cis- Regulatory Binding Sites.
Pacific Symposium on Biocomputing
Mark Robinson, Yi Sun, Rene te Boekhorst, Paul Kaye, Rod Adams, Neil Davey, Alistair G. Rust
2006 J jnl
Transcription Binding Site Prediction Using Markov Models.
J. Bioinform. Comput. Biol.
Irina I. Abnizova, Alistair G. Rust, Mark Robinson, Rene te Boekhorst, Walter R. Gilks
2006 — conf
Using Feature Selection Filtering Methods for Binding Site Predictions.
IEEE ICCI
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2006 B conf
Using sampling methods to improve binding site predictions.
ESANN
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2005 B conf
Using real-valued meta classifiers to integrate binding site predictions.
IJCNN
Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey
2004 — conf
Integrating Binding Site Predictions Using Non-linear Classification Methods.
Deterministic and Statistical Methods in Machine Learning
Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey