Latest Publications

Below are publications that originated from the research group or the taught MSc degree.

  • Gray, G., Schalk, A. E., Cooke, G., Murnion, P., Rooney, P., & O’Rourke, K. (2022). Stakeholders’ insights on learning analytics: Perspectives of students and staff. Computers & Education, 187, 104550.
  • O’Reilly, S. and Gray, G. (2022) What are they telling us? Accessible analysis of free text data from a national survey of higher education students. Finnish Learning Analytics and Artificial Intelligence in Education, Joensuu, Finland, Sept 29th – 30th, 2022.
  • Morales, L.,  Gray, G., & Rajmil, D. (2022). Emerging Risks in the FinTech Industry – Insights from Data Science and Financial Econometrics Analysis. Economics, Management, and Financial Markets, 17(2), 2022,  9–36. doi: 10.22381/emfm17220221.
  • Srinivasan, V., & Power, A. (2022). Character Extraction and Character Type Identification from Summarised Story Plots. Journal of Computer-Assisted Linguistic Research, 6, 19-41.
  • Sizochenko, N.; Hofmann, M. (2021) Predictive Modeling of Critical Temperatures in Superconducting Materials. Molecules 2021, 26, 8.
  • Gray, G., Schalk, A., Rooney, P., Lang, C. (in 2021). Staff and Student Perspectives on their Training Requirements to Engage with Learning Analytics. In Proceedings of the Eleventh International Learning Analytics & Knowledge Conference. April 2021. ACM.
  • Smith, R. G., & Hofmann, M. (2020). A Lexical Frequency Analysis of Irish Sign Language. TEANGA, the Journal of the Irish Association for Applied Linguistics,11, pp.18–47. doi:/10.35903/teanga.v11i1.162.
  • Lynch, R., McLoughlin, S. A Deep Learning approach to Diagnostic Ultrasound Quality Assurance. 11th Irish Association of Physicists in Medicine (IAPM) ANNUAL SCIENTIFIC MEETING, 2020.
  • Sunkpho, J. and M. Hofmann (2020) Thai Words Segmentation Using an Unsupervised Learning Technique, Recent Advances in Information and Communication Technology 2020, Proceedings of the 10th International Conference on Computing and Information Technology (IC2IT2014), Springer, Switzerland.
  • Patel, S. and M. Hofmann (2020) Word Embeddings and Length Normalization for Document Ranking, Research in Computer Science, ISSN 1870-4069
  • Barrett, S., Gray, G., McGuinness C., Knoll, M (2020). Comparing Variable Importance in prediction of Silence behaviours between Random Forest and Conditional Inference Forest models. Ninth International Conference on Data Analytics, October 2020.
  • Gray, G. and Rooney, P. (2020) Visualising Student Activity Logs using Tableau In Ferns, S. (Ed.) Technology Tools for Teaching in Higher Education, The Practical Handbook Series. PressBooks 2020
  • Shields, T., Gray, G., & Ryan, B. J. (2020). Asynchronous assistance: A social network analysis of influencing peer interactions in PeerWise. European Journal of Mathematics and Science Education, 1(1), 43-52.
  • Garcia-Magarino, I., Gray, G., Lacuesta, R., & Lloret, J. (2020). Smart Green Communication Protocols Based on Several-Fold Messages Extracted from Common Sequential Patterns in UAVs. IEEE Network.
  • Patel, S. and M. Hofmann (2020) Word Significance based re-weighting method for Ad-hoc Retrieval, 42nd European Conference on Information Retrieval, Lisbon, Portugal.
  • Quinn, R. & Gray, G. (2020) Prediction of student academic performance using Moodle data from a Further Education setting. Irish Journal of Technology Enhanced Learning, 5(1).
  • Sunkpho, J. and M Hofmann. (2019) Analyzing Customer Satisfaction of a Mobile Application using Data Mining Techniques. Thammasat Review,22,50-64.
  • O’Shaughnessy, S. (2019) Image-based Malware Classification: A Space Filling Curve Approach. Published in the proceedings of the IEEE Symposium on Visualization for Cyber Security (VizSec), October 23, 2019.
  • Sunkpho, J. and M. Hofmann (2019) Using CRISPS-DM Approach for Customer Satisfaction Analysis of Mobile Apps, International Conference on Innovation and Management, Hiroshima, Japan.
  • Colton, David and Markus Hofmann (2019) Sampling Techniques to Overcome Class Imbalance in a Cyberbullying Context. Journal of Computer-Assisted Linguistic Research, [S.l.], v. 3, p. 21-40, July 2019. ISSN 2530-9455. doi:https://doi.org/10.4995/jclr.2019.11112.
  • Goslin, Kyle and Markus Hofmann (2019) A qualitative analysis of the Wikipedia N-Substate Algorithm’s Enhancement Terms. Journal of Computer-Assisted Linguistic Research, [S.l.], v. 3, p. 67-77, July 2019. ISSN 2530-9455. doi:https://doi.org/10.4995/jclr.2019.11159.
  • Karpau, Andrei and Markus Hofmann (2019) Input Encodings for Character Level Convolutional Neural Networks, Digitale Welt I/2019, ISSN: 2569-1996, November 2019.
  • D. Colton and M. Hofmann (2019) ‘Detection of Cyber Bullying Using Text Mining’, in Nolan B. and E. Diedrichsen (ed) Linguistic Perspectives on the Construction of Meaning and Knowledge, Cambridge Scholars Publishing, UK, November 2019.
  • Keane, M. & Gray, G. (2019) An investigation into the pre-enrolment characteristics of students to identify factors influencing academic performance within first year computing and engineering programmes of study in a Higher Educational Institution. AISHE-J: The All Ireland Journal of Teaching and Learning in Higher Education, 11(1). March 2019.
  • Deegan, C., Rooney, P., Murion, P., Doody, J., Gray, G. (2019) Educator voices on learning analytics: Exploring staff perspectives on potential, challenges and professional development needs, International Conference on Engaging Pedagogy (ICEP), December 2019
  • García-Magariño, I., Gray, G., Muttukrishnan, R., and Asif, W. (2019). Agent-based IoT coordination for smart cities considering security and privacy. Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS 2019), Oct 2019.
  • Power Aurelia, Keane Anthony, Nolan Brian, and O’Neill Brian (2019). The Role of Previous Discourse in Identifying Public Textual Cyberbullying. Journal of Computer-Assisted Linguistic Research.
  • Power Aurelia, Keane Anthony, Nolan Brian, and O’Neill Brian (2018). Detecting Discourse-Independent Negated Forms of Public Textual Cyberbullying. Journal of Computer-Assisted Linguistic Research, 2, 1 – 20.
  • Devereaux A. and M. Hofmann (2018) Factors that Influence Student Retention, 4th International Conference on Higher Education Advances (HEAd’18), Valencia, Spain.
  • Colton, D. and M. Hofmann (2018) Detection of Cyber Bullying Using Text Mining, 7th International Conference on Meaning and Knowledge Representation, Dublin, Ireland.
  • Colton, D. and M. Hofmann (2018) Sampling Techniques to Overcome Class Imbalance in a Cyber Bullying Context, 7th International Conference on Meaning and Knowledge Representation, Dublin, Ireland.
  • Goslin, K. and M. Hofmann (2018) A Qualitative Analysis of the Wikipedia N-Substate Algorithm’s Enhancement Terms, 7th International Conference on Meaning and Knowledge Representation, Dublin, Ireland.
  • Smith, R. and M. Hofmann (2018) A Sociolinguistic Corpus Based Investigation of Irish Sign Language Grammatical Classes, 7th International Conference on Meaning and Knowledge Representation, Dublin, Ireland.
  • Lee, B. and M. Hofmann (2018) Sentiment analysis and comparison of public bike sharing schemes in different geographical regions, Civil Engineering Research in Ireland CERI 2018, Dublin, Ireland.
  • Kerfoot, D. and M. Hofmann (2018) Analysis of Aviation Accident Data, Civil Engineering Research in Ireland CERI 2018, Dublin, Ireland.
  • Gallagher, S. and M. Hofmann (2018) Relationships Between Weather, Security Queue Times and Customer Satisfaction at Dublin Airport, Civil Engineering Research in Ireland CERI 2018, Dublin, Ireland.
  • Kinane, D. and M. Hofmann (2018) Insights into Unusual Traffic Events In Dublin City: Data Mining Delivering Business Intelligence, Civil Engineering Research in Ireland CERI 2018, Dublin, Ireland.
  • English, V. and M. Hofmann (2018) Business Intelligence as a source of Competitive Advantage in SMEs: A Literature Review, DBS Business Review.
  • García-Magariño, I., Gray, G., Lacuesta, R. & Lloret, J. (2018). Survivability strategies for emerging wireless networks with data mining techniques: a case study with NetLogo and RapidMiner . IEEE Access, 6, 27958-27969.
  • Quinn, R. & Gray, G. (2018) Using Moodle for Learning Analytics. EdTech 2018, Carlow, May 31st – June 1st.
  • Power Aurelia, Keane Anthony, Nolan Brian, and O’Neill Brian (2018). The Role of Previous Discourse in Cyberbullying Detection. Proceedings of the 6th International Conference on Meaning and Knowledge Representation 5-7 July, Dublin, Ireland.
  • Power Aurelia, Keane Anthony, Nolan Brian, and O’Neill Brian (2017). Offensive Animal Metaphors and Similes in Public Textual Cyberbullying. Proceedings of the 6th International Conference on Meaning and Knowledge Representation 5-7 July, St. Petersburg, Russia.
  • Yourell P. and M. Hofmann (2017) Do gender and the presence of children have an influence on telecommuting practices?, 44th Annual Conference “Sociological Futures”, Sociological Association of Ireland, Belfast, UK.
  • Power Aurelia, Keane Anthony, Nolan Brian, and O’Neill Brian (2017). A Lexical Database for Public Textual Cyberbullying Detection. Revista de Lengua para Fines Específicos, 23(2), 157 – 186.
  • Singh, L. and M. Hofmann (2017) Dynamic Behavior Analysis of Android Applications for Malware Detection, International Conference on Intelligent Communication and Computational Techniques, Jaipur, India.
  • Patel, S.; Nolan, B.; Hofmann, M. ; Owende, P. ; Patel, K. (2017), ‘Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques’, World Academy of Science, Engineering and Technology, International Science Index 126, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 11(6), 624 – 630.
  • Patel S., Nolan B., Hofmann M., Owende P. and K. Patel (2017) Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques, 19th International Conference on Machine Learning and Applications, Copenhagen, Denmark.
  • O’Brien M. and M. Hofmann (2017) The Potential of Learning Outcomes analytics, EdTech Conference, Irish Learning Technology Association (ILTA), Sligo, Ireland.
  • Keane M. and M. Hofmann (2017) An Investigation into Third Level Module Similarities and Link Analysis, 3rd International Conference on Higher Education Advances (HEAd’17), Valencia, Spain.
  • Goslin, K. and M. Hofmann (2017) A Wikipedia Powered State-based Approach to Automatic Search Query Enhancement, Journal of Information, Processing and Management, Volume 53, Issue 5, December 2017, Pages 1005-1025
  • Hofmann, M. and R. Klinkenberg (Eds.) (2016) RapidMiner: Data Mining and Business Application Use Cases, Second Edition, Taylor & Francis, CRC Press, USA.
  • Gray, G., McGuinness, C., Owende, P., and Hofmann, M. (2016) Learning Factor Models of Students at Risk of Failing in the Early Stage of Tertiary Education, Journal of Learning Analytics, 3(2): 330–372, September 2016.
  • Gray, G., McGuinness, C. and Owende, P. (2016) Learning Analytics to Inform Teaching and Learning Approaches, 2nd Higher Education in Transformation Symposium, Toronto, Nov 2016
  • Gray, G., McGuinness, C. and Owende, P. (2016) Non-cognitive factors of learning as early indicators of students at-risk of failing in tertiary education In Khine, M. S. (Eds.) Non-cognitive Factors and Educational Attainment, Sense Publishers
  • Power Aurelia, Keane Anthony, Nolan Brian, and O’Neill Brian (2016). A Lexical Database for Detecting Cyberbullying. Proceedings of the 5th International Conference on Meaning and Knowledge Representation, Las Palmas, Spain.
  • Power Aurelia, Keane Anthony, Nolan Brian, and O’Neill Brian (2015). Detecting Textual Cyberbullying on Social Networks: A Linguistic Approach. In the proceedings of IT&T Conference, Dublin, Ireland.
  • Hofmann, M., Chisholm, A.  (2015), Text Mining and Visualization: Case Studies Using Open-Source Tools, Chapter: Goslin, K., Temporally Aware Online News Mining and Visualization with Python. 
  • McSweeney D., Hofmann M., Gray G. and L. Keyes (2015) Lessons Learned from Teaching Data Analytics in a Fully Online Mode at Postgraduate Level, Higher Education in Transformation Conference, Dublin, Ireland.
  • Hofmann, M. and A. Chisholm (Eds.) (2015) Text Mining and Visualisation – Case Studies using Open-Source Tools. Taylor & Francis, CRC Press, USA.
  • Tsatsoulis, C. and M. Hofmann (2014) Focusing on Maximum Entropy Classification of Lyrics by Tom Waits. Proceedings of 4th IEEE International Advance Computing Conference, New Delhi, India.
  • Tristan O’Gorman and M. Hofmann (2014) Text Mining on Software Patents, 13th International Information Technology and Telecommunication Conference, Dublin, Ireland.
  • Ryan, J. and M. Hofmann (2014) Analysing the Irish 2011 General Election Party Manifestos and Irish Political Statements from the Irish Parliament using Text Analysis. Proceedings of 4th IEEE International Advance Computing Conference, New Delhi, India.
  • Ryan J. and M. Hofmann (2014) Sentiment Versus Polarity within Tokens and Sentences, 13th International Information Technology and Telecommunication Conference, Dublin, Ireland.
  • Hofmann, M. and G. Muntean (Eds) (2014) , Towards the Internet of Things: Issues, Challenges and Approaches, Proceedings of the 13th Information Technology and Telecommunication Conference, ISSN: 1649-1246.
  • Colton D. and M. Hofmann (2014) Automated Detection of Cyberbullying, 13th International Information Technology and Telecommunication Conference, Dublin, Ireland.
  • Causer S. and M. Hofmann (2014) Comparison of Video Game Classification Schemes Utilising Web Mining Techniques, 13th International Information Technology and Telecommunication Conference, Dublin, Ireland.
  • Carter, B. and M. Hofmann (2014) An analysis into using unstructured non-expert text in the illicit drug domain. Proceedings of 4th IEEE International Advance Computing Conference, New Delhi, India.
  • System and Method for multiline retroreflection measurement of road markings, Simon McLoughlin, Catherine Deegan, Sean Haughey, 2014 (PCT patent-expired).
    Brogan, M., McLoughlin, S., Deegan, C. ‘Assessment of Stereo Camera Calibration Techniques for a Portable Mobile Mapping System’, IET Computer Vision, June 2013.
  • Ryan J. and M. Hofmann (2013) Communities and Crime: Creating a Data Mining Prediction Model (Identify Future Crimes given the Socioeconomic Background in an Area), 12th International Information Technology and Telecommunication Conference, Athlone, Ireland.
  • Hofmann and E. Fallon (2013) Small Devices, Big Data, Real Challenges (eds), Proceedings of the 12th Information Technology and Telecommunication Conference, ISSN: 1649-1246
  • Kirwan E. and M. Hofmann (2013) Predicting Premiership Football Match Results (Machine vs. Men – Can predictive models outperform human experts?), 12th International Information Technology and Telecommunication Conference, Athlone, Ireland.
  • Hofmann, M., Gray, G. and L. Keyes (2013) Teaching Data Analytics in a Fully Online Mode at Postgraduate Level, Conference Proceedings of Big Data and Analytics EdCon, Las Vegas, USA.
  • Hofmann, M. and R. Klinkenberg (Eds.) (2013) RapidMiner: Data Mining and Business Application Use Cases. Taylor & Francis, CRC Press, USA.
  • Goslin, K. and M. Hofmann (2013) Identifying and Visualizing the Similarities Between Course Content at a Learning Object, Module and Program Level, Sixth International Conference on Educational Data Mining 2013. Memphis, Tennessee.
  • Goslin, K. and M. Hofmann (2013) Cross Domain Assessment of Document to HTML Conversion Tools to Quantify Text and Structural Loss During Document Analysis, FORTAN Workshop, Intelligence and Security Informatics Conference (EISIC 2013), Uppsala, Sweden.
  • Goslin K. and M. Hofmann (2013) Utilization of Text And Document Context in Large Content Repositories to Aid Environment Specific Search, 12th International Information Technology and Telecommunication Conference, Athlone, Ireland.
  • Galvin E. and M. Hofmann (2013) Speech Analysis of the 2012 American Presidential Election, 12th International Information Technology and Telecommunication Conference, Athlone, Ireland.
  • Hofmann (2012) ICT for a more Sustainable Planet (eds), Proceedings of the 11th Information Technology and Telecommunication Conference, ISSN: 1649-1246
  • Goslin and Hofmann, M. (2012) Enriching the learning experience through interactive course content, Moodle Moot UK & Ireland, Crowne Plaza Hotel, Northwood, Dublin, Ireland.
  • Goslin K. and M. Hofmann (2012) Extraction of VLE course hierarchy for the creation of tree based context specific metadata, 11th International Information Technology and Telecommunication Conference, Cork, Ireland.
  • Power Aurelia, and Hughes J.Carl (2011). Reinforcer Strength in Transfer of Stimulus Control from Tacts to Mands. European Journal of Behaviour Analysis, 12, 289-300. 
  • O’Shaughnessy, S. and Gray, G. (2011). Development and Evaluation of a Dataset Generator Tool for Generating Synthetic Log Files Containing Computer Attack Signatures. International Journal of Ambient Computing and Intelligence (IJACI) / IGI Global, Jun 21, 2011.
  • Murray, S., Haughey, S., Brogan, M., Fitzgerald, C., McLoughlin, S., Deegan, C., Mobile mapping system for the automated detection and analysis of road delineation. IET Intelligent Transport Systems, volume 5, issue 4, year 2011, pp. 221 – 230
  • Brogan, M., Haughey, S., Murray, S., Fitzgerald, C., Deegan, C., McLoughlin, S. Vehicle trajectory projection for road lane detection in image sequencing. In Proceedings of the Irish Transport Research Network Conference 2010, Dublin, Ireland. (Refereed)
  • Murray, S., Brogan, M, Haughey, S., Fitzgerald, C., Mcloughlin, S., Deegan, C. Effects of Varying Entrance and Observation Angles on Retro-Reflective Road Lines. In Proceedings of the Irish Transport Research Network Conference 2010, Dublin, Ireland. (Refereed)
  • S Murray, M Brogan, S Haughey, S McLoughlin, C Deegan, C Fitzgerald. Detection of Night-Time Road Lines Captured from a Moving Platform for the Purpose of Retro-Reflective Quality Assessment. In Proceedings of the IET RTIC 2010, London England. (Refereed)
  • S Haughey, M Brogan, S Murray, C Fitzgerald, C Deegan, S McLoughlin. Sensor Integration for Mobile Mapping and Feature Analysis. In Proceedings of the IET RTIC 2010, London England. (Refereed)
  • Nolan, B., Hofmann, M. and L. Leeson (2010) Moodle innovation for teaching Irish Sign Language at 3rd level: Providing access with flexible delivery online. Proceedings of the Conference on Frontiers in Education: Computer Science and Computer Engineering. Las Vegas, USA.
  • Hofmann, M., Morrison, J. and P. Doyle (2010) RESEARCH—Driving the Knowledge Economy (eds), Proceedings of the 10th Information Technology and Telecommunication Conference, ISSN: 1649-1246
  • Hofmann, M., Goslin, K., Nolan, B. and L. Leeson (2010) Development of a Moodle VLE Plugin to Support Simultaneous Visualisation of a Collection of Multi-Media Sign Language Corpora Objects, Representation and Processing of Sign Languages: Corpora and Sign Language Technologies, Conference on Language Resources and Evaluation, Malta.
  • Hofmann, M, Wilson, S. and P. White (2010) How ‘Good’ is Urban Bus Electronic Fare Collection Data?, Conference Proceedings of the World Conference of Transport Research, Lisbon, Portugal.
  • Goslin, K. and M. Hofmann (2010) Interactive Visual Map Tool for Moodle, 10th International Information Technology and Telecommunication Conference, Letterkenny, Ireland.
  • Goslin, K. and M. Hofmann (2010) Integrated Tutorial Tool for RapidMiner 5, RCOMM 2010, University of Dortmund, Germany.
  • O’Shaughnessy, S. and Gray, G. (2010). Development of a Dataset Generator for Testing and Evaluating Knowledge Discovery Techniques and Forensic or Network Security Analysis Tools. Published in the proceedings of the ITT&T Conference, Letterkenny Institute of Technology, Oct 21, 2010
  • Hofmann and B. Tierney (2009) Development of an Enhanced Generic Data Mining Life Cycle. ITB Journal, Issue 18, pp. 50-71, December 2009.
  • Hofmann, M., Wilson, S. and White, P. (2009) Automated Identification of Linked Trips at Trip Level Using Electronic Fare Collection Data. Washington, D.C., USA, Transportation Research Board (CD-ROM).
  • Hofmann, M., Gray, G. and L. Keyes (2009) Visualisation of Multi-dimensional Learning Objects in Moodle. Proceedings of the Irish Educational Technology Users’ Conference, EdTech 2009, Dublin, Ireland.
  • Power Aurelia (2009). The Role of Reinforcer Strength in Transfer of Stimulus Control from Tacts to Mands. In the proceedings of EAGB Conference, London, UK
  • Hofmann, M., Deegan, M. and P. Murnion (2009) Ubiquitous and Green Computing – The Challenges Facing Computing Systems in Presenting Ubiquitous Computing in an Environmentally Sustainable Manner (eds), Proceedings of the 9th Information Technology and Telecommunication Conference, HP Publishing, ISSN: 1649-1246
  • Hofmann, M. and Tierney, B. (2009) An Enhanced Data Mining Life Cycle. IEEE Symposium on Computational Intelligence and Data Mining. Proceedings, Nashville, USA.
  • Hofmann, M. and M. Smith (2009) Compatibility Challenges for Mobile Learning Objects. Proceedings of the Irish Educational Technology Users’ Conference, EdTech 2009, Dublin, Ireland.
  • Goslin, K. Hofmann, M. and G. Gray (2009) Development of a Moodle Course Content Filter using Meta Data, 9th International Information Technology and Telecommunication Conference, Dublin, Ireland.
  • Hofmann, M. Murnion, P. and Nolan, B. (2008) Virtual Systems and Digital Convergence in a Knowledge Society (eds), Proceedings of the 8th Information Technology and Telecommunication Conference, HP Publishing, ISSN: 1649-1246
  • Muntean, G-M, Hofmann, M. and Nolan, B. (2007) Digital Convergence in a Knowledge Economy (eds), Proceedings of the 7th International Information Technology and Telecommunication Conference, SNAP Publishing, ISSN: 1649-1246
  • Hofmann, M. and Tierney, B. (2007) Development Phases of a Generic Data Mining Life Cycle (DMLC), International Conference on Software Engineering Theory and Practice. Proceedings, Orlando, USA.
  • McLoughlin, S., Mulvihill, C., Deegan, C., Fitzgerald, C., Markham, C.E. Mobile Mapping for the Automated Analysis of Road Signage and Delineation. IET (formerly IEE) Intelligent Transportation Systems Journal. Vol. 2, No. 1, March 2008. (Refereed)
  • Foy, S., Deegan, C., Mulvihill, C., Fitzgerald, C., Markham, C.E., McLoughlin, S. Road Sign Safety Identification through the use of a Mobile Survey System. In Proceedings of the 5th International Symposium on Mobile Mapping Technology (MMT ’07), Padua, Italy, May 2007. (Refereed)
  • Stephen Foy, Catherine Deegan, Ciara Mulvihill, Conor Fitzgerald, Charles Markham, Simon McLoughlin. Inertial Navigation Sensor and GPS integrated for Mobile mapping. Geographical Information Science Research Conference (GISRUK), NUI Maynooth, Ireland, 11th – 13th April 2007. (Refereed)
  • Tseytin, Hofmann, M., O’Mahony M. and Lyons, D. (2006) Tracing Individual Public Transport Customers from an Anonymous Transaction Database. Journal of Public Transportation, Vol. 9, 4.
  • O’Sullivan, L. Keyes and A.C. Winstanley 2006, An Extended System for Labelling Graphical Documents using Statistical Language Models, Graphics Recognition. Ten Years Review and Future Perspectives, Lecture Notes in Computer Science, Liu Wenyin Llados, Josep (Eds), 2006, vol. 3926, ISBN: 3-540-34711-9
  • A. O’Sullivan, L. Keyes and A.C. Winstanley, Developing Corpora for Statistical Graphical Language Models, International Conference on Image Processing, Computer Vision and Pattern Recognition, Las Vegas, Nervada, June 2006.
  • McLoughlin, S., Deegan, C., Fitzgerald, C., Markham, C.E. Mobile Mapping for the Automated Analysis of Road Signage and Delineation, In Proceedings of the 13th World Congress on Intelligent Transportation Systems, London, 8-12 October 2006. (Refereed)
  • Mulvihill, C., Deegan, C., Fitzgerald, C., Markham, C.E., McLoughlin, S. Mobile Stereo Vision for the Mapping of Defective Road Studs. In Proceedings of IEEE Advances in Cybernetic Systems (AICS), Sheffield, England, September 2006. (Refereed)
  • McLoughlin, S., Mulvihill, C., Deegan, C., Fitzgerald, C., Foy, S., Markham, C.E. Stereo Vision for the detection of road signs in dusk and nighttime traffic sequences. In Proceedings of the Irish Machine Vision and Image Processing Conference (IMVIP), pp. 190-191, Dublin, September 2006. (Refereed)
  • Mulvihill, C., Deegan, C., Fitzgerald, C., Markham, C.E., McLoughlin, S. Mobile Stereo Vision for the Identification of Defective Road Studs. In Proceedings of the Irish Machine Vision and Image Processing Conference (IMVIP), pp. 135-142, Belfast, Ireland, August 2005. (Refereed)
  • McLoughlin, S., Murphy, N., Hanley, J., Lanigan, W., Markham, C.E. Measuring Biaxial Strain in Rubber using Stereo Vision. In Proceedings of the Irish Machine Vision and Image Processing Conference, pp. 151-157, Belfast, Ireland, August 2005. (Refereed)
  • N. Murphy, J. Hanley, S. Jerrams, J. McCartin, B. Lanigan, S. McLoughlin, G. Clauss, R. Johannknecht. Determining multiaxial fatigue in elastomers using bubble inflation. In Proceedings of the 4th European Conference on Constitutive Models for Rubber (ECCMR), Stockholm, Sweden, June 2005. (Refereed)
  • McLoughlin, S., Deegan, C., Fitzgerald, C., Markham, C.E., 2005. Classification of road sign type using mobile stereo vision, In Proceedings of SPIE Opto-Ireland 2005, Dublin, 4-6 April 2005. (Refereed)
  • A. O’Sullivan, L. Keyes and A.C. Winstanley, An Extended System for Labelling Graphical Documents using Statistical Language Model”, Sixth IAPR International Workshop on Graphics Recognition (GREC 2005), August 2005
  • L. Keyes, A. O’Sullivan, A.C. Winstanley, Graphical Object Recognition using Statistical Language Models, , International Conference on Document Analysis and Recognition (ICDAR 2005) Aug-Sept 2005, Korea.
  • Keyes, L., A. Winstanley 2004, Shape Description for Automatically Structuring Graphical Data, Josep Lladós (ed), Graphics Recognition – Recent Advances and Perspectives, Lecture Notes in Computer Science, Springer-Verlag, vol. 3088, p. 256, ISBN: 3-540-22478-5
  • Keyes, L and Winstanley, A.C., Shape Description for Automatically Structuring Graphical Data, GREC Fifth IAPR International Workshop on Graphics Recognition, Barcelona, July 2003
  • Keyes, L and Winstanley, A.C. and Healy P., Comparing Learning Strategies for Topographic Object Classification, IEEE IGARSS International Geoscience and Remote Sensing Symposium, Toulouse, July 2003
  • McLoughlin, S., O’Connell, C., Markham, C.E. Asynchronous Stereo for Wide Baseline Ranging. . In Proceedings of the Irish Machine Vision and Image Processing Conference, University of Ulster, Coleraine, September 2003. (Refereed)
  • Keyes, L and Winstanley, A.C., Using Moment Invariants for Classifying Shapes on Large Scale Maps, Journal of Computers, Environment and Urban Systems 25(1), 119-130, January 2001
  • Keyes, L and Winstanley, A.C., Automatically Structuring Archaeological features on Topographic Maps, GIS Research UK, University of Sheffield, April 2002
  • Keyes, L. and Winstanley, A.C., Data Fusion for Topographic Object Classification, IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, 8-9 November 2001
  • Keyes, L and Winstanley, A.C., Improving Object Recognition through Fusion of Shape Classifiers, IMVIP 2001 Irish Machine Vision and Image Processing Conference, 5-7 September 2001, 0-901519-53-7(extended abstract)
  • S. Mcloughlin, C. Markham, F. Lunnon. “A study of shot noise in single element detector based imaging systems”, Proc. Irish Machine Vision and Image Processing Conference 2001. (Refereed)
  • S. Mcloughlin, C. Markham, F. Lunnon. “A novel single detector imaging system”, Proc. Irish Signals and Systems Conference 2001. (Refereed)
  • Keyes, L and Winstanley, A.C., Topographic Object Classification Through Shape, GIS Research UK, 383-387, Glamorgan, April 2001 (extended abstract)
  • Winstanley, A.C. O’Donoghue, D. and Keyes, L., Topographical Object Recognition through Structural Mapping, GIScience, Savannah, GA, October 2000
  • Keyes, L. and Winstanley, A.C., Using Moment Invariants for Classifying Shapes on Large Scale Maps, IMVIP 2000 Proceedings of the Irish Machine Vision and Image Processing Conference, 149-156, Queen’s University Belfast, September 2000
  • Keyes, L. and Winstanley, A.C., Moment Invariants as a Classification Tool for Cartographic Shapes on Large Scale Maps, 3rd AGILE conference on Geographic Information Science, Helsinki, May 2000
  • Keyes, L. and Winstanley, A.C., Using Moment Invariants for Classifying Shapes on Large Scale Maps, GIS Research UK, York, April 2000 (extended abstract)
  • Keyes, L. and Winstanley, A.C., Fourier Descriptors as a General Classification Tool for Topographic Shapes, IMVIP 1999 Proceedings of the Irish Machine Vision and Image Processing Conference, Dublin City University, 1999
  • Winstanley, A.C. and Keyes, L., Applying Computer Vision Techniques to Topographic Objects, XIXth International Archives of Photogrammetry and Remote Sensing, 33 (B3), 480-487, July 2000