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Cardiff University (107878)
- Data Innovation Research Institute (DIURI) (63)

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Number of items at this level: 63.

Article

Alsaedi, Nasser, Burnap, Pete and Rana, Omer 2017. Can we predict a riot? Disruptive event detection using Twitter. ACM Transactions on Internet Technology 17 (2) , 18. 10.1145/2996183

Arruda, Edilson, Harper, Paul, England, Tracey, Gartner, Daniel, Aspland, Emma, Ourique, Fabrico and Crosby, Tom 2020. Resource optimisation for cancer pathways with aggregate diagnostic demand: a perishable inventory approach. IMA Journal of Management Mathematics 10.1093/imaman/dpaa014
Item availability restricted.

Aspland, Emma, Gartner, Daniel and Harper, Paul 2019. Clinical pathway modelling: A literature review. Health Systems 10.1080/20476965.2019.1652547

Burnap, Pete, French, Richard, Turner, Frederick and Jones, Kevin 2018. Malware classification using self organising feature maps and machine activity data. Computers and Security 73 , pp. 399-410. 10.1016/j.cose.2017.11.016

Burnap, Peter, Cherdantseva, Yulia, Blyth, Andrew, Eden, Peter, Jones, Kevin, Soulsby, Hugh and Stoddart, Kristan 2017. Determining and sharing risk data in distributed interdependent systems. IEEE Computer 50 (4) , pp. 72-79. 10.1109/MC.2017.108

Burnap, Peter, Colombo, Gualtiero, Amery, Rosie, Hodorog, Andrei and Scourfield, Jonathan 2017. Multi-class machine classification of suicide-related communication on Twitter. Online Social Networks and Media 2 , pp. 32-44. 10.1016/j.osnem.2017.08.001

Cao, Yi, Li, Yuhua, Coleman, Sonya, Belatreche, Ammar and McGinnity, Thomas Martin 2015. Adaptive hidden Markov model with anomaly states for price manipulation detection. IEEE Transactions on Neural Networks and Learning Systems 26 (2) , pp. 318-330. 10.1109/TNNLS.2014.2315042

Cao, Yi, Li, Yuhua, Coleman, Sonya, Belatreche, Ammar and McGinnity, Thomas Martin 2016. Detecting wash trade in financial market using digraphs and dynamic programming. IEEE Transactions on Neural Networks and Learning Systems 27 (11) , pp. 2351-2363. 10.1109/TNNLS.2015.2480959

Chard, Kyle, Caton, Simon, Kugler, Kai, Rana, Omer Farooq and Katz, Daniel S. 2017. A social content delivery network for e-science. Concurrency and Computation: Practice and Experience 29 (4) , e3854. 10.1002/cpe.3854

Cooper, Crispin H. V., Harvey, Ian, Orford, Scott and Chiaradia, Alain J. F. 2019. Using multiple hybrid spatial design network analysis to predict longitudinal effect of a major city centre redevelopment on pedestrian flows. Transportation 10.1007/s11116-019-10072-0

Ding, Xuemei, Li, Yuhua, Belatreche, Ammar and Maguire, Liam P. 2015. Novelty detection using level set methods. IEEE Transactions on Neural Networks and Learning Systems 26 (3) , pp. 576-588. 10.1109/TNNLS.2014.2320293

Edenharter, Günther, Gartner, Daniel, Heim, Markus, Martin, Jan, Pfeifer, Ulrike, Vogt, Ferdinand, Braun, Karl and Pförringer, Dominik 2019. Delay of transfer from the intensive care unit: a prospective observational analysis on economic effects of delayed in-house transfer. European Journal of Medical Research 24 (1) , -. 10.1186/s40001-019-0388-3

Ferrão, José, Oliveira, Monica Duarte, Gartner, Daniel, Janela, Filipe and Martins, Henrique 2020. Can structured EHR data support clinical coding? A data mining approach. Health Systems 10.1080/20476965.2020.1729666
Item availability restricted.

Foley, Kieran G., Hills, Robert K., Berthon, Beatrice, Marshall, Christopher, Parkinson, Craig, Lewis, Wyn G., Crosby, Tom D. L., Spezi, Emiliano and Roberts, Stuart Ashley 2018. Development and validation of a prognostic model incorporating texture analysis derived from standardised segmentation of PET in patients with oesophageal cancer. European Radiology 28 , pp. 428-436. 10.1007/s00330-017-4973-y

Gartner, Daniel, Zhang, Yiye and Padman, Rema 2019. Reducing clinical workload in the care prescription process: optimization of order sets. IMA Journal of Management Mathematics 30 (3) , pp. 305-321. 10.1093/imaman/dpy018

Hannah, Charlotte, Spasic, Irena and Corcoran, Padraig 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

Harper, Paul 2020. Healthy O.R. in Wales. Impact 2020 (2) , pp. 28-32. 10.1080/2058802X.2020.1768684

Harper, Paul R. 2020. Server behaviours in healthcare queueing systems. Journal of the Operational Research Society 71 (7) 10.1080/01605682.2019.1567653

Javed, Amir, Burnap, Pete and Rana, Omer 2019. Prediction of drive-by download attacks on Twitter. Information Processing and Management 56 (3) , pp. 1133-1145. 10.1016/j.ipm.2018.02.003

Jha, Shantenu, Katz, Daniel S., Luckow, Andre, Chue Hong, Neil, Rana, Omer and Simmhan, Yogesh 2017. Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure. Concurrency and Computation: Practice and Experience 29 (8) , e4032. 10.1002/cpe.4032

Kheiri, Ahmed, Lewis, Rhydian, Thompson, Jonathan and Harper, Paul 2020. Constructing operating theatre schedules using partitioned graph colouring techniques. Health Systems 10.1080/20476965.2020.1796530
Item availability restricted.

Leonenko, Nikolai and Malyarenko, Anatoliy 2017. Matérn class tesor-valued random fields and beyond. Journal of Statistical Physics 168 (6) , pp. 1276-1301. 10.1007/s10955-017-1847-2

Leonenko, Nikolai and Ruiz-Medina, M.D. 2017. Increasing domain asymptotics for the first Minkowski functional of spherical random fields. Theory of Probability and Mathematical Statistics 97 , pp. 127-149. 10.1090/tpms/1053

Liu, Junxiu, Harkin, Jim, Li, Yuhua and Maguire, Liam P. 2016. Fault-tolerant networks-on-chip routing with coarse and fine-grained look-ahead. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 35 (2) , pp. 260-273. 10.1109/TCAD.2015.2459050

Liu, Zihao, Zhou, You, Liang, Gehao, Ling, Yun, Tan, Weige, Tan, Luyuan, Andrews, Robert, Zhong, Wenjing, Zhang, Xuanxuan, Song, Erwei and Gong, Chang 2019. Circular RNA hsa_circ_001783 regulates breast cancer progression via sponging miR-200c-3p. Cell Death and Disease 10 , 55. 10.1038/s41419-018-1287-1

Morgan, Jennifer, Harper, Paul, Knight, Vincent, Artemiou, Andreas, Carney, Alexander and Nelson, Andrew 2019. Determining patient outcomes from patient letters: A comparison of text analysis approaches. Journal of the Operational Research Society 70 (9) , pp. 1425-1439. 10.1080/01605682.2018.1506559

Mugabi, Ivan. K 2016. Microchips law in the UK and animal liability post-2016. SSRN: English & Commonwealth Law eJournal , pp. 1-14. 10.2139/ssrn.2723071

Muralidaran, Vignesh, Spasić, Irena and Knight, Dawn 2020. A systematic review of unsupervised approaches to grammar induction. Natural Language Engineering 10.1017/S1351324920000327

Ouro, Pablo, Fraga Bugallo, Bruno, Lopez Novoa, Unai and Stoesser, Thorsten 2019. Scalability of an Eulerian-Lagrangian large-eddy simulation solver with hybrid MPI/OpenMP parallelisation. Computers and Fluids 179 , pp. 123-136. 10.1016/j.compfluid.2018.10.013

Palmer, Geraint I., Knight, Vincent A., Harper, Paul R. and Hawa, Asyl L. 2019. Ciw: An open-source discrete event simulation library. Journal of Simulation 13 (1) , pp. 68-82. 10.1080/17477778.2018.1473909

Radanliev, Petar, De Roure, David, Nicolescu, Razvan, Huth, Michael, Mantilla, Rafael, Cannady, Stacy and Burnap, Peter 2018. Future developments in cyber risk assessment for the internet of things. Computers in Industry 102 , pp. 14-22. 10.1016/j.compind.2018.08.002

Raza, Haider, Prasad, Girijesh and Li, Yuhua 2015. EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments. Pattern Recognition 48 (3) , pp. 659-669. 10.1016/j.patcog.2014.07.028

Spasic, Irena and Button, Kate 2020. Patient triage by topic modelling of referral letters: Feasibility study. JMIR Medical Informatics 8 (11) , e21252. 10.2196/21252

Spasic, Irena, Krzeminski, Dominik, Corcoran, Padraig and Balinsky, Alexander 2019. Cohort selection for clinical trials from longitudinal patient records: text mining approach. JMIR Medical Informatics 7 (4) , e15980. 10.2196/15980

Spasic, Irena and Nenadic, Goran 2020. Clinical text data in machine learning: Systematic review. JMIR Medical Informatics 8 (3) , e17984. 10.2196/17984

Spasic, Irena, Owen, David, Smith, Andrew and Button, Kate 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, Irena, Uzuner, Özlem and Zhou, Li 2020. Emerging clinical applications of text analytics. International Journal of Medical Informatics 134 , 103974. 10.1016/j.ijmedinf.2019.103974

Taherkhani, Aboozar, Belatreche, Ammar, Li, Yuhua and Maguire, Liam P. 2018. A supervised learning algorithm for learning precise timing of multiple spikes in multilayer spiking neural networks. IEEE Transactions on Neural Networks and Learning Systems 29 (11) , pp. 5394-5407. 10.1109/TNNLS.2018.2797801

Tolosana-Calasanz, Rafael, Diaz-Montes, Javier, Rana, Omer F. and Parashar, Manish 2017. Feedback-control & queueing theory-based resource management for streaming applications. IEEE Transactions on Parallel and Distributed Systems 28 (4) , pp. 1061-1075. 10.1109/TPDS.2016.2603510

Webb, Helena, Burnap, Peter, Procter, Rob, Rana, Omer, Stahl, Bernd, Williams, Matthew, Housley, William, Edwards, Adam and Jirotka, Marina 2016. Digital wildfires: propagation, verification, regulation, and responsible innovation. ACM Transactions on Information Systems 34 (3) , 15. 10.1145/2893478

Williams, Lowri, Arribas-Ayllon, Michael, Artemiou, Andreas and Spasic, Irena 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

Yaseen, Muhammad Usman, Anjum, Ashiq, Rana, Omer and Hill, Richard 2018. Cloud-based scalable object detection and classification in video streams. Future Generation Computer Systems 80 , pp. 286-298. 10.1016/j.future.2017.02.003

Zunic, Anastazia, Corcoran, Padraig and Spasic, Irena 2020. Sentiment analysis in health and wellbeing: A systematic review. JMIR Medical Informatics 8 (1) , e16023. 10.2196/16023

Conference or Workshop Item

Alsaedi, Nasser, Burnap, Peter and Rana, Omer Farooq 2015. Identifying disruptive events from social media to enhance situational awareness. Presented at: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Paris, France, 24-27 August 2015. ASONAM '15 Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. ACM, pp. 934-941. 10.1145/2808797.2808879

Alsaedi, Nasser, Burnap, Peter and Rana, Omer Farooq 2016. Automatic summarization of real world events using Twitter. Presented at: International AAAI Conference on Web and Social Media (ICWSM), Cologne, Germany, 17-20 May 2016. Proceedings of the Tenth International AAAI Confe. AAAI, pp. 511-514.

Alsaedi, Nasser, Burnap, Peter and Rana, Omer Farooq 2016. Sensing real-world events using Arabic Twitter posts. Presented at: International AAAI Conference on Web and Social Media (ICWSM), Cologne, Germany, 17-20 May 2016. Proceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016). AAAI, pp. 515-518.

Alsaedi, Nasser, Burnap, Peter and Rana, Omer Farooq 2017. Temporal TF-IDF: a high performance approach for event summarization in Twitter. Presented at: IEEE/WIC/ACM International Conference on Web Intelligence, Omaha, Nebraska, USA, 13-16 October 2016. 2016 IEEE/WIC/ACM International Conference on Web Intelligence. IEEE, pp. 515-521. 10.1109/WI.2016.0087

Burnap, Peter, Colombo, Gualtiero and Scourfield, Jonathan Bryn 2015. Machine classification and analysis of suicide-related communication on Twitter. Presented at: 26th ACM Conference on Hypertext & Social Media, Cyprus, 1-4 September 2015. HT '15- Proceedings of the 26th ACM Conference on Hypertext & Social Media. Association for Computing Machinery, pp. 75-84.

Burnap, Peter, Javed, Amir, Rana, Omer Farooq and Awan, Malik 2015. Real-time classification of malicious URLs on Twitter using Machine Activity Data. Presented at: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Paris, France, 25-27 August 2015. ACM,

Burnap, Peter and Williams, Matthew Leighton 2016. Computational human and cyber security analytics for government and policy. Presented at: Data Science and Government Conference, Oxford, UK, 22 June 2016.

Burnap, Peter and Williams, Matthew Leighton 2017. Classifying and modeling cyber hate speech: research and opportunities for practical intervention. Presented at: 1st International Conference on Cyber Deviance Detection (CyberDD) in conjunction with 10th ACM International Conference on Web Search and Data Mining (WSDM 2017), Cambridge, UK, 10 Feb 2017.

Chopard, Daphne and Spasic, Irena 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, Carlos, Purver, Matthew and Pollak, Senja eds. Statistical Language and Speech Processing: 7th International Conference, SLSP 2019, Ljubljana, Slovenia, October 14–16, 2019, Proceedings. Springer, pp. 71-82. 10.1007/978-3-030-31372-2_6

Cooper, Crispin, Harvey, Ian and Orford, Scott 2018. Testing the ability of multivariate hybrid spatial network analysis to predict the effect of a major urban redevelopment on pedestrian flows. Presented at: GISRUK 2018: 26th GIScience Research UK Conference, University of Leicester, 17-20 April 2018.

Dai, Xiangfeng, Spasic, Irena, Chapman, Samuel and Meyer, Bradley 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. -.

Dai, Xiangfeng, Spasic, Irena, Meyer, Bradley, Chapman, Samuel and Andres, Frederic 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

Lopez, Unai, Morgan, Jeffrey, Jones, Kathryn, Rana, Omer, Edwards, Timothy and Grigoletto, Fabio 2019. Enabling citizen science in rural environments with IoT and mobile technologies. Presented at: IoT ’19, Bilbao, Spain, 22-25 Oct 2019. -.

Medel, Víctor, Rana, Omer Farooq, Bañares, José Angel and Arronategui, Unai 2016. Modelling performance & resource management in kubernetes. Presented at: 9th International Conference on Utility and Cloud Computing, Shanghai, China, 6-9 December 2016. UCC '16: Proceedings of the 9th International Conference on Utility and Cloud Computing. UCC Proceedings New York, NY: Association for Computing Machinery, pp. 257-262. 10.1145/2996890.3007869

Spasic, Irena, Owen, David, Knight, Dawn and Artemiou, Andreas 2019. Unsupervised multi-word term recognition in Welsh. Presented at: Celtic Language Technology Workshop 2019, Dublin, Ireland, 19 August 2019. Published in: Lynn, Teresa, Prys, Delyth, Batchelor, Colin and Tyers, Francis eds. Proceedings of the Celtic Language Technology Workshop. European Association for Machine Translation,

Whitaker, Roger Marcus, Turner, Liam and Colombo, Gualtiero 2017. Intra-group tension under inter-group conflict: a generative model using group social norms and identity. Presented at: 8th International Conference on Applied Human Factors and Ergonomics, Los Angeles, CA, USA, 17-21 July 2017.

Williams, Matthew L. and Burnap, Peter 2017. Data science solutions for detecting and monitoring Brexit related online hate speech. Presented at: UK Government Data Science Community Interest Workshop, ONS Data Science Campus, Newport, Wales, UK, 4 September 2017.

Zou, Mengsong, Zamani, Ali Reza, Diaz-Montes, Javier, Petri, Ioan, Rana, Omer Farooq and Parashar, Manish 2016. Leveraging in-transit computational capabilities in federated ecosystems. Presented at: 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE), Oxford, UK, March 29 -April 2 2016. 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE). IEEE, pp. 99-108. 10.1109/SOSE.2016.15
Item availability restricted.

Zunic, Anastazia, Corcoran, Padraig and Spasic, Irena 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. -.

Monograph

Setchi, Rossi and Spasic, Irena 2020. AI-assisted patent prior art searching - feasibility study. The Intellectual Property Office. Available at: https://www.gov.uk/government/publications/ai-assi...

This list was generated on Sat Jan 23 09:34:16 2021 GMT.

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