![Irena Spasic](https://profiles-cardiff.imgix.net/attachments/1618?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Professor Irena Spasic
- Available for postgraduate supervision
Teams and roles for Irena Spasic
Overview
The main focus of my academic career has been to establish excellence in research related to text mining, which is the key to gaining knowledge for significant interventions and decision making in the context of big data. This makes it indispensible to other disciplines. In particular, I have made contributions in areas of text classification, information extraction, term recognition and sentiment analysis (see infographics). Most often, my research has found its applications in health and life sciences, where it has led to deep interdisciplinary collaboration leading to impact beyond computer science. For example, I am a co-founder of HealTex, the UK Healthcare Text Analytics Network, a multi-disciplinary research network that aims to facilitate the use of healthcare free text (clinical notes, letters, social media post, literature) in research and clinical practice.
In 2004, I was awarded PhD from the University of Salford for my work on the use of machine learning for terminological processing in biomedical literature. My doctoral studies were funded by the Overseas Research Students Awards Scheme, an international postgraduate award for selected foreign country nationals to undertake research in the UK. The award is among the most selective and prestigious awards offered to international students and scholarships are awarded on the basis of academic excellence and research potential. I moved on to complete postdoctoral research at the University of Manchester. I joined Cardiff University in 2010 as a lecturer and was promoted to senior lectureship and full chair in 2014 and 2016 respectively. In 2020, I was elected a Fellow of the Learned Society of Wales, the national academy for arts and sciences.
Publication
2025
- Corcoran, P. et al. 2025. A spatial analysis of the use of Bitcoin as a medium of exchange. Financial Innovation 11 127. (10.1186/s40854-025-00871-z)
- Corcoran, P. and Spasic, I. 2025. Balance disclosure in payment channel networks using noiseless privacy. Distributed Ledger Technologies: Research and Practice (10.1145/3770861)
- Corcoran, P. and Spasic, I. 2025. Path planning at the edge of payment channel networks. Distributed Ledger Technologies: Research and Practice (10.1145/3761828)
2024
- Balaneji, F. , Maringer, D. and Spasic, I. 2024. The power of words: predicting stock market returns with fine-grained sentiment analysis and XGBoost. Presented at: Intelligent Systems Conference (IntelliSys) Amsterdam, The Netherlands 7-8 September 2023. Published in: Arai, K. ed. Intelligent Systems and Applications. Vol. 1.Lecture Notes in Networks and Systems Vol. 822. Springer Nature. , pp.577-596. (10.1007/978-3-031-47721-8_39)
- Bennett, V. et al. 2024. Assessing the feasibility of using parents' social media conversations to inform burn first aid interventions: mixed methods study. JMIR Formative Research 8 e48695. (10.2196/48695)
- Chopard, D. , Corcoran, P. and Spasić, I. 2024. Word sense disambiguation of acronyms in clinical narratives. Frontiers in Digital Health 6 1282043. (10.3389/fdgth.2024.1282043)
- Liao, Y. et al. 2024. CID at RRG24: Attempting in a conditionally initiated decoding of Radiology Report Generation with clinical entities. Presented at: The 23rd Workshop on Biomedical Natural Language Processing Bangkok, Thailand 16 August 2024. Published in: Demner-Fushman, D. et al., Proceedings of the 23rd Workshop on Biomedical Natural Language Processing. Association for Computational Linguistics. , pp.591-596. (10.18653/v1/2024.bionlp-1.49)
- Liao, Y. , Liu, H. and Spasić, I. 2024. Fine-tuning coreference resolution for different styles of clinical narratives. Journal of Biomedical Informatics 149 104578. (10.1016/j.jbi.2023.104578)
- Liao, Y. , Liu, H. and Spasic, I. 2024. RadCoref: Fine-tuning coreference resolution for different styles of clinical narratives (version 1.0.0). [Online].PhysioNet. (10.13026/z67q-xy65)Available at: https://doi.org/10.13026/z67q-xy65.
- Liao, Y. et al. 2024. Using information extraction to normalize the training data for automatic radiology report generation. IEEE Access 12 , pp.185103-185116. (10.1109/ACCESS.2024.3504378)
2023
- Corcoran, P. and Spasic, I. 2023. Self-supervised representation learning for geographical data - a systematic literature review. ISPRS International Journal of Geo-Information 12 (2) 64. (10.3390/ijgi12020064)
- Edmunds, G. et al., 2023. Associations between dog breed and clinical features of mammary epithelial neoplasia in bitches: an epidemiological study of submissions to a single diagnostic pathology centre between 2008-2021. Journal of Mammary Gland Biology and Neoplasia 28 (6)(10.1007/s10911-023-09531-3)
- Liao, Y. , Liu, H. and Spasic, I. 2023. Deep learning approaches to automatic radiology report generation: A systematic review. Informatics in Medicine Unlocked 39 101273. (10.1016/j.imu.2023.101273)
- Miok, K. , Corcoran, P. and Spasic, I. 2023. The value of numbers in clinical text classification. Machine Learning and Knowledge Extraction 5 (3), pp.746-762. (10.3390/make5030040)
2022
- Filimonov, M. , Chopard, D. and Spasic, I. 2022. Simulation and annotation of global acronyms. Bioinformatics 38 (11), pp.3136-3138. btac298. (10.1093/bioinformatics/btac298)
- Rogers, D. et al. 2022. Real-time text classification of user-generated content on social media: Systematic review. IEEE Transactions on Computational Social Systems 9 (4), pp.1154-1166. (10.1109/TCSS.2021.3120138)
- Tong, Y. et al. 2022. Understanding context of use from online customer reviews using BERT. Presented at: IEEE 18th International Conference on Automation Science and Engineering (CASE 2022) Mexico City, Mexico 20-24 August 2022. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE(10.1109/CASE49997.2022.9926649)
- Tong, Y. et al. 2022. A data-driven approach for integrating hedonic quality and pragmatic quality in user experience modelling. Journal of Computing and Information Science in Engineering 22 (6) 061002. (10.1115/1.4054155)
- Zunic, A. , Corcoran, P. and Spasic, I. 2022. The case of aspect in sentiment analysis: seeking attention or co-dependency?. Machine Learning and Knowledge Extraction 4 (2), pp.474-487. (10.3390/make4020021)
2021
- Chopard, D. et al., 2021. Text mining of adverse events in clinical trials: Deep learning approach. JMIR Medical Informatics 9 (12) e28632. (10.2196/28632)
- Corcoran, P. et al. 2021. Creating Welsh language word embeddings. Applied Sciences 11 (15) 6896. (10.3390/app11156896)
- Dunphy, E. et al., 2021. Feasibility randomised controlled trial comparing TRAK-ACL digital rehabilitation intervention plus treatment as usual versus treatment as usual for patients following anterior cruciate ligament reconstruction. BMJ Open Sport and Exercise Medicine 7 (2) e001002. (10.1136/bmjsem-2020-001002)
- Espinosa-Anke, L. et al. 2021. English–Welsh cross-lingual embeddings. Applied Sciences 11 (14) 6541. (10.3390/app11146541)
- Hughes, C. et al., 2021. Leaving no stone unturned: flexible retrieval of idiomatic expressions from a large text corpus. Machine Learning and Knowledge Extraction 3 (1), pp.263-283. (10.3390/make3010013)
- Knight, D. et al. 2021. Developing computational infrastructure for the CorCenCC corpus - the National Corpus of Contemporary Welsh. Language Resources and Evaluation 55 , pp.789-816. (10.1007/s10579-020-09501-9)
- Muralidaran, V. , Spasic, I. and Knight, D. 2021. A systematic review of unsupervised approaches to grammar induction. Natural Language Engineering 27 (6), pp.647-689. (10.1017/S1351324920000327)
- Muralidaran, V. et al. 2021. A practical implementation of a porter stemmer for Welsh. In: Prys, D. ed. Language and Technology in Wales: Volume 1. Bangor: Bangor University. , pp.30-43.
- Palmer, G. et al. 2021. A closer look at Welsh word embeddings. In: Prys, D. ed. Language and Technology in Wales: Volume 1. Bangor: Bangor University. , pp.21-29.
- Setchi, R. et al. 2021. Artificial intelligence for patent prior art searching. World Patent Information 64 102021. (10.1016/j.wpi.2021.102021)
- Tong, Y. et al. 2021. Integrating hedonic quality for user experience modelling. Presented at: ASME IDETC/CIE 2021 Virtual 17-20 August 2021. 41st Computers and Information in Engineering Conference (CIE) Proceedings. Vol. 2.ASME. (10.1115/DETC2021-69781)
- Zunic, A. , Corcoran, P. and Spasic, I. 2021. Aspect-based sentiment analysis with graph convolution over syntactic dependencies. Artificial Intelligence in Medicine 119 102138. (10.1016/j.artmed.2021.102138)
2020
- Button, K. et al. 2020. Using routine referral data for patients with knee and hip pain to improve access to specialist care. BMC Musculoskeletal Disorders 21 66. (10.1186/s12891-020-3087-x)
- Dai, X. et al., 2020. The state of the art in implementing machine learning for mobile apps: A survey. Presented at: IEEE SoutheastCon Raleigh, USA 12-15 Mar 2020. , pp.-.
- Muralidaran, V. , Spasic, I. and Knight, D. 2020. A cognitive approach to parsing with neural networks. Presented at: International Conference on Statistical Language and Speech Processing (SLSP) Cardiff, UK 14–16 Oct 2020. Statistical Language and Speech Processing. Vol. 12379.Springer Verlag. , pp.71-84. (10.1007/978-3-030-59430-5_6)
- Owen, D. et al. 2020. Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections.[Version 2]. Research Ideas and Outcomes 6 e58030. (10.3897/rio.6.e58030)
- Owen, D. et al. 2020. Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections [Version 1]. Research Ideas and Outcomes 6 e55789. (10.3897/rio.6.e55789)
- Setchi, R. and Spasic, I. 2020. AI-assisted patent prior art searching - feasibility study.
- Spasic, I. and Button, K. 2020. Patient triage by topic modelling of referral letters: Feasibility study. JMIR Medical Informatics 8 (11) e21252. (10.2196/21252)
- Spasic, I. and Nenadic, G. 2020. Clinical text data in machine learning: Systematic review. JMIR Medical Informatics 8 (3) e17984. (10.2196/17984)
- Spasic, I. , Uzuner, Ö. and Zhou, L. 2020. Emerging clinical applications of text analytics. International Journal of Medical Informatics 134 103974. (10.1016/j.ijmedinf.2019.103974)
- Spasic, I. , Williams, L. and Buerki, A. 2020. Idiom–based features in sentiment analysis: cutting the Gordian knot. IEEE Transactions on Affective Computing 11 (2)(10.1109/TAFFC.2017.2777842)
- Zunic, A. , Corcoran, P. and Spasic, I. 2020. Improving the performance of sentiment analysis in health and wellbeing using domain knowledge. Presented at: the Third UK Healthcare Text Analytics Conference (HealTAC) London, UK 22-24 April 2020. , pp.-.
- Zunic, A. , Corcoran, P. and Spasic, I. 2020. Sentiment analysis in health and wellbeing: A systematic review. JMIR Medical Informatics 8 (1) e16023. (10.2196/16023)
2019
- Chopard, D. and Spasic, I. 2019. A deep learning approach to self-expansion of abbreviations based on morphology and context distance. Presented at: SLSP 2019: 7th International Conference on Statistical Language and Speech Processing Ljubljana, Slovenia 14-16 October 2019. Published in: Martín-Vide, C. , Purver, M. and Pollak, S. eds. Statistical Language and Speech Processing: 7th International Conference, SLSP 2019, Ljubljana, Slovenia, October 14–16, 2019, Proceedings. Vol. 11816.Springer. , pp.71-82. (10.1007/978-3-030-31372-2_6)
- Dai, X. et al., 2019. Machine learning on mobile: An on-device inference app for skin cancer detection. Presented at: 2019 4th International Conference on Fog and Mobile Edge Computing Rome, Italy 10-13 June 2019. 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC). IEEE. , pp.301-305. (10.1109/FMEC.2019.8795362)
- Nieva De La Hidalga, A. et al. 2019. Use of semantic segmentation for increasing the throughput of digitisation workflows for natural history collections. Presented at: Biodiversity_Next 2019 Leiden, The Netherlands 21-25 October 2019. Biodiversity Information Science and Standards. Vol. 3.Vol. e37161. Pensoft(10.3897/biss.3.37161)
- Spasic, I. et al. 2019. Cohort selection for clinical trials from longitudinal patient records: text mining approach. JMIR Medical Informatics 7 (4) e15980. (10.2196/15980)
- Spasic, I. et al. 2019. Unsupervised multi-word term recognition in Welsh. Presented at: Celtic Language Technology Workshop 2019 Dublin, Ireland 19 August 2019. Published in: Lynn, T. et al., Proceedings of the Celtic Language Technology Workshop. European Association for Machine Translation
- Spasic, I. et al. 2019. KLOSURE: Closing in on open–ended patient questionnaires with text mining. Journal of Biomedical Semantics 10 (S1) 24. (10.1186/s13326-019-0215-3)
- Williams, L. et al. 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification 36 (3), pp.619-648. (10.1007/s00357-019-9307-0)
2018
- Bannister, C. A. et al. 2018. A genetic programming approach to development of clinical prediction models: a case study in symptomatic cardiovascular disease. PLoS ONE 13 (9) e0202685. (10.1371/journal.pone.0202685)
- Button, K. et al. 2018. An evaluation of TRAK physiotherapy self management intervention development and delivery for knee conditions. Presented at: OARSI 2018 World Congress on Osteoarthritis Liverpool 26-29 April 2018. , pp.-.
- Button, K. et al. 2018. Integrating self-management support for knee injuries into routine clinical practice: TRAK intervention design and delivery. Musculoskeletal Science and Practice 33 , pp.53-60. (10.1016/j.msksp.2017.11.002)
- Button, K. et al. 2018. Improving access to care and treatment for patients with hip and knee pain at the interface between primary and secondary care. Presented at: OARSI 2018 World Congress on Osteoarthritis Liverpool, UK 26-29 April 2018.
- Hannah, C. , Spasic, I. and Corcoran, P. 2018. A computational model of pedestrian road safety: the long way round is the safe way home. Accident Analysis & Prevention 121 , pp.347-357. (10.1016/j.aap.2018.06.004)
- Hannah, C. , Spasic, I. and Corcoran, P. 2018. Modelling pedestrian safety with respect to road traffic crashes by estimating the safety of paths. Presented at: GIScience Research UK Conference Leicester, England 18-20 April 2018.
- Preece, A. et al. 2018. Sentinel: a co-designed platform for semantic enrichment of social media streams. IEEE Transactions on Computational Social Systems 5 (1), pp.118-131. (10.1109/TCSS.2017.2763684)
- Spasic, I. 2018. Acronyms as an integral part of multi–word term recognition - A token of appreciation. IEEE Access 6 , pp.8351-8363. (10.1109/ACCESS.2018.2807122)
- Spasic, I. et al. 2018. Head to head: Semantic similarity of multi-word terms. IEEE Access 6 , pp.20545-20557. (10.1109/ACCESS.2018.2826224)
- Spasic, I. et al. 2018. Closing in on open-ended patient questionnaires with text mining. Presented at: UK Healthcare Text Analytics Conference (HealTAC) Manchester, UK 18-19 April 2018.
2017
- Dai, X. , Spasic, I. and Andres, F. 2017. A framework for automated rating of online reviews against the underlying topics. Presented at: ACM Southeast Conference Kennesaw State University, Georgia, USA 13-15 April 2017. ACM SE '17 Proceedings of the SouthEast Conference. New York: ACM. , pp.164-167. (10.1145/3077286.3077291)
- Dunphy, E. et al., 2017. Acceptability of a digital healthintervention alongside physiotherapy to support patients following anterior cruciateligament reconstruction. BMC Musculoskeletal Disorders 18 471. (10.1186/s12891-017-1846-0)
- Neale, S. et al. 2017. The CorCenCC crowdsourcing app: a bespoke tool for the user-driven creation of the national corpus of contemporary Welsh. Presented at: The 9th International Corpus Linguistics Conference Birmingham, UK 24-28 July 2017.
2016
- Button, K. and Spasic, I. 2016. Web based interventions for self-management of rehabilitation. Presented at: Enhanced Recovery after Surgery (ERAS) UK Conference Cardiff, UK 4th November.
2015
- Button, K. et al. 2015. The clinical effectiveness of self-care interventions with an exercise component to manage knee conditions: a systematic review. The Knee 22 (5), pp.360-371. (10.1016/j.knee.2015.05.003)
- Evans, K. et al. 2015. Dynamically reconfigurable workflows for time-critical applications. Presented at: SC15: The International Conference for High Performance Computing, Networking, Storage, and Analysis New York City, NY, USA 16-19 November 2015. WORKS '15 Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science. , pp.1-10. (10.1145/2822332.2822339)
- Moore, S. C. et al. 2015. All-Wales Licensed Premises Intervention (AWLPI): a randomised controlled trial of an intervention to reduce alcohol-related violence. Public Health Research 3 (10)(10.3310/phr03100)
- Spasic, I. et al. 2015. TRAK App Suite: A web-based intervention for delivering standard care for the rehabilitation of knee conditions. JMIR Research Protocols 4 (4) e122. (10.2196/resprot.4091)
- Spasic, I. et al. 2015. TRAK application suite: A web-based intervention for delivering standard care for the rehabilitation of knee conditions. JMIR Research Protocols 4 (4) e122. (10.2196/resprot.4091)
- Spasic, I. et al. 2015. KneeTex: An ontology-driven system for information extraction from MRI reports. Journal of Biomedical Semantics 6 34. (10.1186/s13326-015-0033-1)
- Williams, L. et al. 2015. The role of idioms in sentiment analysis. Expert Systems with Applications 42 (21), pp.7375-7385. (10.1016/j.eswa.2015.05.039)
2014
- Bannister, C. A. et al. 2014. Automatic development of clinical prediction models with genetic programming: A case study in cardiovascular disease. Value in Health 17 (3), pp.A200-A201. (10.1016/j.jval.2014.03.1171)
- Bannister, C. et al. 2014. External validation of the UKPDS risk engine in incident type 2 diabetes: a need for new type 2 diabetes-specific risk equations. Diabetes Care 37 (2), pp.537-545. (10.2337/dc13-1159)
- Bhachu, L. et al., 2014. Mobile application KneeCare to support knee rehabilitation. Presented at: Science and Information Conference (SAI) London, UK 27-29 August 2014.
- Moore, S. C. et al. 2014. All-Wales licensed premises intervention (AWLPI): a randomised controlled trial to reduce alcohol-related violence. BMC Public Health 14 (1), pp.-. 21. (10.1186/1471-2458-14-21)
- Spasic, I. et al. 2014. Text mining of cancer-related information: review of current status and future directions. International Journal of Medical Informatics 83 (9), pp.605-623. (10.1016/j.ijmedinf.2014.06.009)
2013
- Button, K. et al. 2013. Development of iKnee: A web based application using biomechanical data to optomize knee rehabilitation within the home environment. Presented at: The 32nd Scientific Meeting of the Physiotherapy Research Society Cardiff, UK 9 April 2013.
- Button, K. et al. 2013. TRAK ontology: defining standard care for the rehabilitation of knee conditions. Journal of Biomedical Informatics 46 (4), pp.615-625. (10.1016/j.jbi.2013.04.009)
- Greenwood, M. et al. 2013. Automatic extraction of personal experiences from patients' blogs: A case study in chronic obstructive pulmonary disease. Presented at: Third International Conference on Social Computing and its Applications Karlsruhe, Germany 30th September - 2nd October 2013.
- Smallbone, K. et al., 2013. A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes. FEBS Letters 587 (17), pp.2832-2841. (10.1016/j.febslet.2013.06.043)
- Spasic, I. et al. 2013. FlexiTerm: a flexible term recognition method. Journal of Biomedical Semantics 4 27. (10.1186/2041-1480-4-27)
2012
- Burnap, P. et al. 2012. Protecting patient privacy in distributed collaborative healthcare environments by retaining access control of shared information. Presented at: 2012 International Conference on Collaboration Technologies and Systems (CTS) Denver, CO, USA 21-25 May 2012. Published in: Smari, W. W. and Charles, F. eds. 2012 International Conference on Collaboration Technologies and Systems (CTS). Vol. 14.Los Alamitos, CA: IEEE. , pp.490-497. (10.1109/CTS.2012.6261095)
- Spasic, I. et al. 2012. A naïve Bayes approach to classifying topics in suicide notes. Biomedical Informatics Insights 5 (Supp 1), pp.87-97. (10.4137/BII.S8945)
2010
- Dada, J. O. et al., 2010. SBRML: a markup language for associating systems biology data with models. Bioinformatics 26 (7), pp.932-938. (10.1093/bioinformatics/btq069)
- Li, P. et al., 2010. Systematic integration of experimental data and models in systems biology. BMC Bioinformatics 11 582. (10.1186/1471-2105-11-582)
- Masseroli, M. , Paton, N. W. and Spasic, I. 2010. Chapter 15: Search Computing and the Life Sciences. Lecture Notes in Computer Science 5950 , pp.291-306. (10.1007/978-3-642-12310-8_15)
- Spasic, I. et al. 2010. Medication information extraction with linguistic pattern matching and semantic rules. Journal of the American Medical Informatics Association 17 (5), pp.532-535. (10.1136/jamia.2010.003657)
- Swainston, N. et al., 2010. Integrative information management for systems biology. Lecture Notes in Computer Science 6254 , pp.164-178. (10.1007/978-3-642-15120-0_13)
2009
- Brown, M. et al., 2009. Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics. Analyst 134 (7), pp.1322-1332. (10.1039/b901179j)
- Spasic, I. et al. 2009. KiPar, a tool for systematic information retrieval regarding parameters for kinetic modelling of yeast metabolic pathways. Bioinformatics 25 (11), pp.1404-1411. (10.1093/bioinformatics/btp175)
- Yang, H. et al., 2009. A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries. JAMIA Journal of the American Medical Informatics Assocation 16 (4), pp.596-600. (10.1197/jamia.M3096)
- Yang, H. et al., 2009. A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries. Journal of The American Medical Informatics Association 16 (4), pp.596-600. (10.1197/jamia.M3096)
2008
- Dunn, W. B. et al., 2008. A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols. International Journal of Epidemiology 37 (S1), pp.i23-i30. (10.1093/ije/dym281)
- Herrgard, M. J. et al., 2008. A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology. Nature Biotechnology 26 (10), pp.1155-1160. (10.1038/nbt1492)
- Spasic, I. et al. 2008. Facilitating the development of controlled vocabularies for metabolomics technologies with text mining. BMC Bioinformatics 9 (Supp 5) S5. (10.1186/1471-2105-9-S5-S5)
2007
- Dunn, W. B. et al., 2007. Serum metabolomics reveals many novel metabolic markers of heart failure, including pseudouridine and 2-oxoglutarate. Metabolomics 3 (4), pp.413-426. (10.1007/s11306-007-0063-5)
- Sansone, S. et al., 2007. Metabolomics standards initiative: ontology working group work in progress. Metabolomics 3 (3), pp.249-256. (10.1007/s11306-007-0069-z)
2006
- Spasic, I. et al. 2006. MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics. BMC Bioinformatics 7 281. (10.1186/1471-2105-7-281)
- Wilkinson, S. J. , Spasic, I. and Ellis, D. I. 2006. Genomes to systems 3. Metabolomics 2 (3), pp.165-170. (10.1007/s11306-006-0030-6)
2005
- Brown, M. et al., 2005. A metabolome pipeline: from concept to data to knowledge. Metabolomics 1 (1), pp.39-51. (10.1007/s11306-005-1106-4)
- Kell, D. B. et al., 2005. Metabolic footprinting and systems biology: the medium is the message. Nature Reviews. Microbiology 3 (7), pp.557-565. (10.1038/nrmicro1177)
- Spasic, I. and Ananiadou, S. 2005. A flexible measure of contextual similarity for biomedical terms. Pacific Symposium on Biocomputing 10 , pp.197-208.
- Spasic, I. et al. 2005. Text mining and ontologies in biomedicine: making sense of raw text. Briefings in Bioinformatics 6 (3), pp.239-251. (10.1093/bib/6.3.239)
- Spasic, I. , Ananiadou, S. and Tsujii, J. I. 2005. MaSTerClass: a case-based reasoning system for the classification of biomedical terms. Bioinformatics 21 (11), pp.2748-2758. (10.1093/bioinformatics/bti338)
2004
- Nenadic, G. , Spasic, I. and Ananiadou, S. 2004. Mining term similarities from corpora. Terminology 10 (1), pp.55-80. (10.1075/term.10.1.04nen)
- Spasic, I. and Ananiadou, S. 2004. Using automatically learnt verb selectional preferences for classification of biomedical terms. Journal of Biomedical Informatics 37 (6), pp.483-497. (10.1016/j.jbi.2004.08.002)
2003
- Nenadic, G. , Spasic, I. and Ananiadou, S. 2003. Terminology-driven mining of biomedical literature. Bioinformatics 19 (8), pp.938-943. (10.1093/bioinformatics/btg105)
2002
- Nenadic, G. et al., 2002. Terminology-driven literature mining and knowledge acquisition in biomedicine. International Journal of Medical Informatics 67 (1-3), pp.33-48. (10.1016/S1386-5056(02)00055-2 |)
Articles
- Bannister, C. A. et al. 2014. Automatic development of clinical prediction models with genetic programming: A case study in cardiovascular disease. Value in Health 17 (3), pp.A200-A201. (10.1016/j.jval.2014.03.1171)
- Bannister, C. et al. 2014. External validation of the UKPDS risk engine in incident type 2 diabetes: a need for new type 2 diabetes-specific risk equations. Diabetes Care 37 (2), pp.537-545. (10.2337/dc13-1159)
- Bannister, C. A. et al. 2018. A genetic programming approach to development of clinical prediction models: a case study in symptomatic cardiovascular disease. PLoS ONE 13 (9) e0202685. (10.1371/journal.pone.0202685)
- Bennett, V. et al. 2024. Assessing the feasibility of using parents' social media conversations to inform burn first aid interventions: mixed methods study. JMIR Formative Research 8 e48695. (10.2196/48695)
- Brown, M. et al., 2009. Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics. Analyst 134 (7), pp.1322-1332. (10.1039/b901179j)
- Brown, M. et al., 2005. A metabolome pipeline: from concept to data to knowledge. Metabolomics 1 (1), pp.39-51. (10.1007/s11306-005-1106-4)
- Button, K. et al. 2018. Integrating self-management support for knee injuries into routine clinical practice: TRAK intervention design and delivery. Musculoskeletal Science and Practice 33 , pp.53-60. (10.1016/j.msksp.2017.11.002)
- Button, K. et al. 2015. The clinical effectiveness of self-care interventions with an exercise component to manage knee conditions: a systematic review. The Knee 22 (5), pp.360-371. (10.1016/j.knee.2015.05.003)
- Button, K. et al. 2020. Using routine referral data for patients with knee and hip pain to improve access to specialist care. BMC Musculoskeletal Disorders 21 66. (10.1186/s12891-020-3087-x)
- Button, K. et al. 2013. TRAK ontology: defining standard care for the rehabilitation of knee conditions. Journal of Biomedical Informatics 46 (4), pp.615-625. (10.1016/j.jbi.2013.04.009)
- Chopard, D. , Corcoran, P. and Spasić, I. 2024. Word sense disambiguation of acronyms in clinical narratives. Frontiers in Digital Health 6 1282043. (10.3389/fdgth.2024.1282043)
- Chopard, D. et al., 2021. Text mining of adverse events in clinical trials: Deep learning approach. JMIR Medical Informatics 9 (12) e28632. (10.2196/28632)
- Corcoran, P. et al. 2025. A spatial analysis of the use of Bitcoin as a medium of exchange. Financial Innovation 11 127. (10.1186/s40854-025-00871-z)
- Corcoran, P. et al. 2021. Creating Welsh language word embeddings. Applied Sciences 11 (15) 6896. (10.3390/app11156896)
- Corcoran, P. and Spasic, I. 2025. Balance disclosure in payment channel networks using noiseless privacy. Distributed Ledger Technologies: Research and Practice (10.1145/3770861)
- Corcoran, P. and Spasic, I. 2025. Path planning at the edge of payment channel networks. Distributed Ledger Technologies: Research and Practice (10.1145/3761828)
- Corcoran, P. and Spasic, I. 2023. Self-supervised representation learning for geographical data - a systematic literature review. ISPRS International Journal of Geo-Information 12 (2) 64. (10.3390/ijgi12020064)
- Dada, J. O. et al., 2010. SBRML: a markup language for associating systems biology data with models. Bioinformatics 26 (7), pp.932-938. (10.1093/bioinformatics/btq069)
- Dunn, W. B. et al., 2007. Serum metabolomics reveals many novel metabolic markers of heart failure, including pseudouridine and 2-oxoglutarate. Metabolomics 3 (4), pp.413-426. (10.1007/s11306-007-0063-5)
- Dunn, W. B. et al., 2008. A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols. International Journal of Epidemiology 37 (S1), pp.i23-i30. (10.1093/ije/dym281)
- Dunphy, E. et al., 2021. Feasibility randomised controlled trial comparing TRAK-ACL digital rehabilitation intervention plus treatment as usual versus treatment as usual for patients following anterior cruciate ligament reconstruction. BMJ Open Sport and Exercise Medicine 7 (2) e001002. (10.1136/bmjsem-2020-001002)
- Dunphy, E. et al., 2017. Acceptability of a digital healthintervention alongside physiotherapy to support patients following anterior cruciateligament reconstruction. BMC Musculoskeletal Disorders 18 471. (10.1186/s12891-017-1846-0)
- Edmunds, G. et al., 2023. Associations between dog breed and clinical features of mammary epithelial neoplasia in bitches: an epidemiological study of submissions to a single diagnostic pathology centre between 2008-2021. Journal of Mammary Gland Biology and Neoplasia 28 (6)(10.1007/s10911-023-09531-3)
- Espinosa-Anke, L. et al. 2021. English–Welsh cross-lingual embeddings. Applied Sciences 11 (14) 6541. (10.3390/app11146541)
- Filimonov, M. , Chopard, D. and Spasic, I. 2022. Simulation and annotation of global acronyms. Bioinformatics 38 (11), pp.3136-3138. btac298. (10.1093/bioinformatics/btac298)
- Hannah, C. , Spasic, I. and Corcoran, P. 2018. A computational model of pedestrian road safety: the long way round is the safe way home. Accident Analysis & Prevention 121 , pp.347-357. (10.1016/j.aap.2018.06.004)
- Herrgard, M. J. et al., 2008. A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology. Nature Biotechnology 26 (10), pp.1155-1160. (10.1038/nbt1492)
- Hughes, C. et al., 2021. Leaving no stone unturned: flexible retrieval of idiomatic expressions from a large text corpus. Machine Learning and Knowledge Extraction 3 (1), pp.263-283. (10.3390/make3010013)
- Kell, D. B. et al., 2005. Metabolic footprinting and systems biology: the medium is the message. Nature Reviews. Microbiology 3 (7), pp.557-565. (10.1038/nrmicro1177)
- Knight, D. et al. 2021. Developing computational infrastructure for the CorCenCC corpus - the National Corpus of Contemporary Welsh. Language Resources and Evaluation 55 , pp.789-816. (10.1007/s10579-020-09501-9)
- Li, P. et al., 2010. Systematic integration of experimental data and models in systems biology. BMC Bioinformatics 11 582. (10.1186/1471-2105-11-582)
- Liao, Y. , Liu, H. and Spasic, I. 2023. Deep learning approaches to automatic radiology report generation: A systematic review. Informatics in Medicine Unlocked 39 101273. (10.1016/j.imu.2023.101273)
- Liao, Y. , Liu, H. and Spasić, I. 2024. Fine-tuning coreference resolution for different styles of clinical narratives. Journal of Biomedical Informatics 149 104578. (10.1016/j.jbi.2023.104578)
- Liao, Y. et al. 2024. Using information extraction to normalize the training data for automatic radiology report generation. IEEE Access 12 , pp.185103-185116. (10.1109/ACCESS.2024.3504378)
- Masseroli, M. , Paton, N. W. and Spasic, I. 2010. Chapter 15: Search Computing and the Life Sciences. Lecture Notes in Computer Science 5950 , pp.291-306. (10.1007/978-3-642-12310-8_15)
- Miok, K. , Corcoran, P. and Spasic, I. 2023. The value of numbers in clinical text classification. Machine Learning and Knowledge Extraction 5 (3), pp.746-762. (10.3390/make5030040)
- Moore, S. C. et al. 2015. All-Wales Licensed Premises Intervention (AWLPI): a randomised controlled trial of an intervention to reduce alcohol-related violence. Public Health Research 3 (10)(10.3310/phr03100)
- Moore, S. C. et al. 2014. All-Wales licensed premises intervention (AWLPI): a randomised controlled trial to reduce alcohol-related violence. BMC Public Health 14 (1), pp.-. 21. (10.1186/1471-2458-14-21)
- Muralidaran, V. , Spasic, I. and Knight, D. 2021. A systematic review of unsupervised approaches to grammar induction. Natural Language Engineering 27 (6), pp.647-689. (10.1017/S1351324920000327)
- Nenadic, G. et al., 2002. Terminology-driven literature mining and knowledge acquisition in biomedicine. International Journal of Medical Informatics 67 (1-3), pp.33-48. (10.1016/S1386-5056(02)00055-2 |)
- Nenadic, G. , Spasic, I. and Ananiadou, S. 2004. Mining term similarities from corpora. Terminology 10 (1), pp.55-80. (10.1075/term.10.1.04nen)
- Nenadic, G. , Spasic, I. and Ananiadou, S. 2003. Terminology-driven mining of biomedical literature. Bioinformatics 19 (8), pp.938-943. (10.1093/bioinformatics/btg105)
- Owen, D. et al. 2020. Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections.[Version 2]. Research Ideas and Outcomes 6 e58030. (10.3897/rio.6.e58030)
- Owen, D. et al. 2020. Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections [Version 1]. Research Ideas and Outcomes 6 e55789. (10.3897/rio.6.e55789)
- Preece, A. et al. 2018. Sentinel: a co-designed platform for semantic enrichment of social media streams. IEEE Transactions on Computational Social Systems 5 (1), pp.118-131. (10.1109/TCSS.2017.2763684)
- Rogers, D. et al. 2022. Real-time text classification of user-generated content on social media: Systematic review. IEEE Transactions on Computational Social Systems 9 (4), pp.1154-1166. (10.1109/TCSS.2021.3120138)
- Sansone, S. et al., 2007. Metabolomics standards initiative: ontology working group work in progress. Metabolomics 3 (3), pp.249-256. (10.1007/s11306-007-0069-z)
- Setchi, R. et al. 2021. Artificial intelligence for patent prior art searching. World Patent Information 64 102021. (10.1016/j.wpi.2021.102021)
- Smallbone, K. et al., 2013. A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes. FEBS Letters 587 (17), pp.2832-2841. (10.1016/j.febslet.2013.06.043)
- Spasic, I. 2018. Acronyms as an integral part of multi–word term recognition - A token of appreciation. IEEE Access 6 , pp.8351-8363. (10.1109/ACCESS.2018.2807122)
- Spasic, I. and Ananiadou, S. 2005. A flexible measure of contextual similarity for biomedical terms. Pacific Symposium on Biocomputing 10 , pp.197-208.
- Spasic, I. and Ananiadou, S. 2004. Using automatically learnt verb selectional preferences for classification of biomedical terms. Journal of Biomedical Informatics 37 (6), pp.483-497. (10.1016/j.jbi.2004.08.002)
- Spasic, I. et al. 2005. Text mining and ontologies in biomedicine: making sense of raw text. Briefings in Bioinformatics 6 (3), pp.239-251. (10.1093/bib/6.3.239)
- Spasic, I. , Ananiadou, S. and Tsujii, J. I. 2005. MaSTerClass: a case-based reasoning system for the classification of biomedical terms. Bioinformatics 21 (11), pp.2748-2758. (10.1093/bioinformatics/bti338)
- Spasic, I. et al. 2012. A naïve Bayes approach to classifying topics in suicide notes. Biomedical Informatics Insights 5 (Supp 1), pp.87-97. (10.4137/BII.S8945)
- Spasic, I. and Button, K. 2020. Patient triage by topic modelling of referral letters: Feasibility study. JMIR Medical Informatics 8 (11) e21252. (10.2196/21252)
- Spasic, I. et al. 2015. TRAK App Suite: A web-based intervention for delivering standard care for the rehabilitation of knee conditions. JMIR Research Protocols 4 (4) e122. (10.2196/resprot.4091)
- Spasic, I. et al. 2015. TRAK application suite: A web-based intervention for delivering standard care for the rehabilitation of knee conditions. JMIR Research Protocols 4 (4) e122. (10.2196/resprot.4091)
- Spasic, I. et al. 2018. Head to head: Semantic similarity of multi-word terms. IEEE Access 6 , pp.20545-20557. (10.1109/ACCESS.2018.2826224)
- Spasic, I. et al. 2006. MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics. BMC Bioinformatics 7 281. (10.1186/1471-2105-7-281)
- Spasic, I. et al. 2013. FlexiTerm: a flexible term recognition method. Journal of Biomedical Semantics 4 27. (10.1186/2041-1480-4-27)
- Spasic, I. et al. 2019. Cohort selection for clinical trials from longitudinal patient records: text mining approach. JMIR Medical Informatics 7 (4) e15980. (10.2196/15980)
- Spasic, I. et al. 2014. Text mining of cancer-related information: review of current status and future directions. International Journal of Medical Informatics 83 (9), pp.605-623. (10.1016/j.ijmedinf.2014.06.009)
- Spasic, I. and Nenadic, G. 2020. Clinical text data in machine learning: Systematic review. JMIR Medical Informatics 8 (3) e17984. (10.2196/17984)
- Spasic, I. et al. 2019. KLOSURE: Closing in on open–ended patient questionnaires with text mining. Journal of Biomedical Semantics 10 (S1) 24. (10.1186/s13326-019-0215-3)
- Spasic, I. et al. 2010. Medication information extraction with linguistic pattern matching and semantic rules. Journal of the American Medical Informatics Association 17 (5), pp.532-535. (10.1136/jamia.2010.003657)
- Spasic, I. et al. 2008. Facilitating the development of controlled vocabularies for metabolomics technologies with text mining. BMC Bioinformatics 9 (Supp 5) S5. (10.1186/1471-2105-9-S5-S5)
- Spasic, I. et al. 2009. KiPar, a tool for systematic information retrieval regarding parameters for kinetic modelling of yeast metabolic pathways. Bioinformatics 25 (11), pp.1404-1411. (10.1093/bioinformatics/btp175)
- Spasic, I. , Uzuner, Ö. and Zhou, L. 2020. Emerging clinical applications of text analytics. International Journal of Medical Informatics 134 103974. (10.1016/j.ijmedinf.2019.103974)
- Spasic, I. , Williams, L. and Buerki, A. 2020. Idiom–based features in sentiment analysis: cutting the Gordian knot. IEEE Transactions on Affective Computing 11 (2)(10.1109/TAFFC.2017.2777842)
- Spasic, I. et al. 2015. KneeTex: An ontology-driven system for information extraction from MRI reports. Journal of Biomedical Semantics 6 34. (10.1186/s13326-015-0033-1)
- Swainston, N. et al., 2010. Integrative information management for systems biology. Lecture Notes in Computer Science 6254 , pp.164-178. (10.1007/978-3-642-15120-0_13)
- Tong, Y. et al. 2022. A data-driven approach for integrating hedonic quality and pragmatic quality in user experience modelling. Journal of Computing and Information Science in Engineering 22 (6) 061002. (10.1115/1.4054155)
- Wilkinson, S. J. , Spasic, I. and Ellis, D. I. 2006. Genomes to systems 3. Metabolomics 2 (3), pp.165-170. (10.1007/s11306-006-0030-6)
- Williams, L. et al. 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification 36 (3), pp.619-648. (10.1007/s00357-019-9307-0)
- Williams, L. et al. 2015. The role of idioms in sentiment analysis. Expert Systems with Applications 42 (21), pp.7375-7385. (10.1016/j.eswa.2015.05.039)
- Yang, H. et al., 2009. A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries. JAMIA Journal of the American Medical Informatics Assocation 16 (4), pp.596-600. (10.1197/jamia.M3096)
- Yang, H. et al., 2009. A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries. Journal of The American Medical Informatics Association 16 (4), pp.596-600. (10.1197/jamia.M3096)
- Zunic, A. , Corcoran, P. and Spasic, I. 2021. Aspect-based sentiment analysis with graph convolution over syntactic dependencies. Artificial Intelligence in Medicine 119 102138. (10.1016/j.artmed.2021.102138)
- Zunic, A. , Corcoran, P. and Spasic, I. 2020. Sentiment analysis in health and wellbeing: A systematic review. JMIR Medical Informatics 8 (1) e16023. (10.2196/16023)
- Zunic, A. , Corcoran, P. and Spasic, I. 2022. The case of aspect in sentiment analysis: seeking attention or co-dependency?. Machine Learning and Knowledge Extraction 4 (2), pp.474-487. (10.3390/make4020021)
Book sections
- Muralidaran, V. et al. 2021. A practical implementation of a porter stemmer for Welsh. In: Prys, D. ed. Language and Technology in Wales: Volume 1. Bangor: Bangor University. , pp.30-43.
- Palmer, G. et al. 2021. A closer look at Welsh word embeddings. In: Prys, D. ed. Language and Technology in Wales: Volume 1. Bangor: Bangor University. , pp.21-29.
Conferences
- Balaneji, F. , Maringer, D. and Spasic, I. 2024. The power of words: predicting stock market returns with fine-grained sentiment analysis and XGBoost. Presented at: Intelligent Systems Conference (IntelliSys) Amsterdam, The Netherlands 7-8 September 2023. Published in: Arai, K. ed. Intelligent Systems and Applications. Vol. 1.Lecture Notes in Networks and Systems Vol. 822. Springer Nature. , pp.577-596. (10.1007/978-3-031-47721-8_39)
- Bhachu, L. et al., 2014. Mobile application KneeCare to support knee rehabilitation. Presented at: Science and Information Conference (SAI) London, UK 27-29 August 2014.
- Burnap, P. et al. 2012. Protecting patient privacy in distributed collaborative healthcare environments by retaining access control of shared information. Presented at: 2012 International Conference on Collaboration Technologies and Systems (CTS) Denver, CO, USA 21-25 May 2012. Published in: Smari, W. W. and Charles, F. eds. 2012 International Conference on Collaboration Technologies and Systems (CTS). Vol. 14.Los Alamitos, CA: IEEE. , pp.490-497. (10.1109/CTS.2012.6261095)
- Button, K. et al. 2018. An evaluation of TRAK physiotherapy self management intervention development and delivery for knee conditions. Presented at: OARSI 2018 World Congress on Osteoarthritis Liverpool 26-29 April 2018. , pp.-.
- Button, K. et al. 2018. Improving access to care and treatment for patients with hip and knee pain at the interface between primary and secondary care. Presented at: OARSI 2018 World Congress on Osteoarthritis Liverpool, UK 26-29 April 2018.
- Button, K. et al. 2013. Development of iKnee: A web based application using biomechanical data to optomize knee rehabilitation within the home environment. Presented at: The 32nd Scientific Meeting of the Physiotherapy Research Society Cardiff, UK 9 April 2013.
- Button, K. and Spasic, I. 2016. Web based interventions for self-management of rehabilitation. Presented at: Enhanced Recovery after Surgery (ERAS) UK Conference Cardiff, UK 4th November.
- Chopard, D. and Spasic, I. 2019. A deep learning approach to self-expansion of abbreviations based on morphology and context distance. Presented at: SLSP 2019: 7th International Conference on Statistical Language and Speech Processing Ljubljana, Slovenia 14-16 October 2019. Published in: Martín-Vide, C. , Purver, M. and Pollak, S. eds. Statistical Language and Speech Processing: 7th International Conference, SLSP 2019, Ljubljana, Slovenia, October 14–16, 2019, Proceedings. Vol. 11816.Springer. , pp.71-82. (10.1007/978-3-030-31372-2_6)
- Dai, X. , Spasic, I. and Andres, F. 2017. A framework for automated rating of online reviews against the underlying topics. Presented at: ACM Southeast Conference Kennesaw State University, Georgia, USA 13-15 April 2017. ACM SE '17 Proceedings of the SouthEast Conference. New York: ACM. , pp.164-167. (10.1145/3077286.3077291)
- Dai, X. et al., 2020. The state of the art in implementing machine learning for mobile apps: A survey. Presented at: IEEE SoutheastCon Raleigh, USA 12-15 Mar 2020. , pp.-.
- Dai, X. et al., 2019. Machine learning on mobile: An on-device inference app for skin cancer detection. Presented at: 2019 4th International Conference on Fog and Mobile Edge Computing Rome, Italy 10-13 June 2019. 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC). IEEE. , pp.301-305. (10.1109/FMEC.2019.8795362)
- Evans, K. et al. 2015. Dynamically reconfigurable workflows for time-critical applications. Presented at: SC15: The International Conference for High Performance Computing, Networking, Storage, and Analysis New York City, NY, USA 16-19 November 2015. WORKS '15 Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science. , pp.1-10. (10.1145/2822332.2822339)
- Greenwood, M. et al. 2013. Automatic extraction of personal experiences from patients' blogs: A case study in chronic obstructive pulmonary disease. Presented at: Third International Conference on Social Computing and its Applications Karlsruhe, Germany 30th September - 2nd October 2013.
- Hannah, C. , Spasic, I. and Corcoran, P. 2018. Modelling pedestrian safety with respect to road traffic crashes by estimating the safety of paths. Presented at: GIScience Research UK Conference Leicester, England 18-20 April 2018.
- Liao, Y. et al. 2024. CID at RRG24: Attempting in a conditionally initiated decoding of Radiology Report Generation with clinical entities. Presented at: The 23rd Workshop on Biomedical Natural Language Processing Bangkok, Thailand 16 August 2024. Published in: Demner-Fushman, D. et al., Proceedings of the 23rd Workshop on Biomedical Natural Language Processing. Association for Computational Linguistics. , pp.591-596. (10.18653/v1/2024.bionlp-1.49)
- Muralidaran, V. , Spasic, I. and Knight, D. 2020. A cognitive approach to parsing with neural networks. Presented at: International Conference on Statistical Language and Speech Processing (SLSP) Cardiff, UK 14–16 Oct 2020. Statistical Language and Speech Processing. Vol. 12379.Springer Verlag. , pp.71-84. (10.1007/978-3-030-59430-5_6)
- Neale, S. et al. 2017. The CorCenCC crowdsourcing app: a bespoke tool for the user-driven creation of the national corpus of contemporary Welsh. Presented at: The 9th International Corpus Linguistics Conference Birmingham, UK 24-28 July 2017.
- Nieva De La Hidalga, A. et al. 2019. Use of semantic segmentation for increasing the throughput of digitisation workflows for natural history collections. Presented at: Biodiversity_Next 2019 Leiden, The Netherlands 21-25 October 2019. Biodiversity Information Science and Standards. Vol. 3.Vol. e37161. Pensoft(10.3897/biss.3.37161)
- Spasic, I. et al. 2019. Unsupervised multi-word term recognition in Welsh. Presented at: Celtic Language Technology Workshop 2019 Dublin, Ireland 19 August 2019. Published in: Lynn, T. et al., Proceedings of the Celtic Language Technology Workshop. European Association for Machine Translation
- Spasic, I. et al. 2018. Closing in on open-ended patient questionnaires with text mining. Presented at: UK Healthcare Text Analytics Conference (HealTAC) Manchester, UK 18-19 April 2018.
- Tong, Y. et al. 2021. Integrating hedonic quality for user experience modelling. Presented at: ASME IDETC/CIE 2021 Virtual 17-20 August 2021. 41st Computers and Information in Engineering Conference (CIE) Proceedings. Vol. 2.ASME. (10.1115/DETC2021-69781)
- Tong, Y. et al. 2022. Understanding context of use from online customer reviews using BERT. Presented at: IEEE 18th International Conference on Automation Science and Engineering (CASE 2022) Mexico City, Mexico 20-24 August 2022. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE(10.1109/CASE49997.2022.9926649)
- Zunic, A. , Corcoran, P. and Spasic, I. 2020. Improving the performance of sentiment analysis in health and wellbeing using domain knowledge. Presented at: the Third UK Healthcare Text Analytics Conference (HealTAC) London, UK 22-24 April 2020. , pp.-.
Monographs
Websites
- Liao, Y. , Liu, H. and Spasic, I. 2024. RadCoref: Fine-tuning coreference resolution for different styles of clinical narratives (version 1.0.0). [Online].PhysioNet. (10.13026/z67q-xy65)Available at: https://doi.org/10.13026/z67q-xy65.
Research
Areas of scientific interest and research include:
- Text mining: information extraction, term recognition, named entity recognition, sentiment analysis, text classification, information retrieval, language resources
- Knowledge representation: development, application & standardisation of ontologies
- Machine learning: feature engineering, case-based reasoning, naive Bayesian learning, support vector machines, genetic algorithms, genetic programming
- Information management: data modelling, data mining, relational and XML databases, user interface development
- Application areas: healthcare, life sciences, social sciences & social media
Teaching
CMT207: Information modelling and database systems (postgraduate)
More information about the module is available in this video.
Biography
Education
- PhD, computer science, University of Salford, UK
- MSc, computer science, University of Belgrade, Serbia
- BSc, mathematics & computer science, University of Belgrade, Serbia
Work experience
- Professor, computer science, Cardiff University
- Senior lecturer, computer science, Cardiff University
- Lecturer, computer science, Cardiff University
- Postdoctoral research associate, computer science, University of Manchester
- Research assistant, computer science, University of Salford
- Lecturer, mathematics, University of Belgrade
Certification
- Lean Six Sigma Black Belt
- ILM Level 4 Award in Practical Leadership for University Management
- Edexcel Level 5 Professional Certificate in Management Studies
- PSF Fellow of the Higher Education Academy
- C2 Certificate of Proficiency in English
Supervisions
Research supervision
- Yuxiang Liao (PhD, 2021-present): natural language generation, image processing, deep learning
- Yanzhang Tong (PhD, 2020-present): opinion mining, user experience
- Dr Maxim Filimonov (RSE, 2020-present): data science
Alumni
- Farshid Balaneji (PhD, 2021-2024): natural language processing, machine learning, financial forecasting
- Dr Daphné Chopard (PhD, 2018-2022): text mining, deep learning, data augmentation
- Dr Anastazia Žunić (PhD, 2018-2022): sentiment analysis, deep learning
- Dr Jeffrey Morgan (RSE, 2018-2022): data science
- Dr Vigneshwaran Muralidaran (PhD, 2017-2022): natural language processing, corpus linguistics
- Dr David Rogers (RA/PhD, 2012-2021): text mining, sentiment analysis, social media
- Dr Unai Lopez (RSE, 2018-2019): data science
- Ian Harvey (RSE, 2018-2019): data science
- Dr Steven Neale (PDRA, 2016-2019): natural language processing, corpus linguistics, crowdsourcing
- David Owen (RA, 2016-2019): text mining, ontologies, health informatics
- Dr Lowri Williams (PhD, 2013-2017): text mining, sentiment analysis, language resources
- Dr Bathilde Ambroise (PhD, 2012-2016): text mining, genomics, bioinformatics
- Dr Bo Zhao (PhD, 2011-2015): text mining, ontologies, health informatics
- Dr Christian Bannister (PhD, 2011-2015): machine learning, health informatics, epidemiology
- Dr Mark Greenwood (PhD, 2010-2014): text mining, health informatics, social media
Contact Details
[email protected]
+44 29208 70320
Abacws, Room WX/3.02, Senghennydd Road, Cathays, Cardiff, CF24 4AG
+44 29208 70320
Abacws, Room WX/3.02, Senghennydd Road, Cathays, Cardiff, CF24 4AG
