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2025

Conference Publication

Are Large Language Models Good Data Preprocessors?

Meguellati, Elyas, Pratama, Nardiena, Sadiq, Shazia and Demartini, Gianluca (2025). Are Large Language Models Good Data Preprocessors?. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3717568

Are Large Language Models Good Data Preprocessors?

2025

Journal Article

AI-assisted co-creation: bridging skill gaps in student-generated content

Pozdniakov, Stanislav, Brazil, Jonathan, Mohammadi, Mehrnoush, Dollinger, Mollie, Sadiq, Shazia and Khosravi, Hassan (2025). AI-assisted co-creation: bridging skill gaps in student-generated content. Journal of Learning Analytics, 12 (1), 129-151. doi: 10.18608/jla.2025.8601

AI-assisted co-creation: bridging skill gaps in student-generated content

2025

Conference Publication

Towards secure and robust recommender systems: a data-centric perspective

Wang, Zongwei, Yu, Junliang, Chen, Tong, Yin, Hongzhi, Sadiq, Shazia and Gao, Min (2025). Towards secure and robust recommender systems: a data-centric perspective. 18th International Conference on Web Search and Data Mining-WSDM, Hannover, Germany, 10-14 March 2025. New York, NY, United States: ACM. doi: 10.1145/3701551.3703484

Towards secure and robust recommender systems: a data-centric perspective

2025

Journal Article

Solution of fractional Sturm–Liouville problems by generalized polynomials

Sadiq, Shazia and Rehman, Mujeeb ur (2025). Solution of fractional Sturm–Liouville problems by generalized polynomials. Engineering Computations, 42 (2), 488-517. doi: 10.1108/ec-04-2024-0356

Solution of fractional Sturm–Liouville problems by generalized polynomials

2025

Conference Publication

Knowledge tracing with a temporal hypergraph memory network

Mohammadi, Mehrnoush, Berahmand, Kamal, Sadiq, Shazia and Khosravi, Hassan (2025). Knowledge tracing with a temporal hypergraph memory network. 26th International Conference, AIED 2025, Palermo, Italy, 22–26 July 2025. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-99267-4_10

Knowledge tracing with a temporal hypergraph memory network

2025

Conference Publication

Enhancing treatment effect estimation via active learning: a counterfactual covering perspective

Wen, Hechuan, Chen, Tong, Gong, Mingming, Chai, Li Kheng, Sadiq, Shazia and Yin, Hongzhi (2025). Enhancing treatment effect estimation via active learning: a counterfactual covering perspective. 42nd International Conference on Machine Learning, ICML 2025, Vancouver, Canada, 13-19 July 2025. SAN DIEGO: ML Research Press.

Enhancing treatment effect estimation via active learning: a counterfactual covering perspective

2025

Conference Publication

From misunderstandings to learning opportunities: leveraging generative AI in discussion forums to support student learning

Pozdniakov, Stanislav, Brazil, Jonathan, Poquet, Oleksandra, Krusche, Stephan, Berrezueta-Guzman, Santiago, Sadiq, Shazia and Khosravi, Hassan (2025). From misunderstandings to learning opportunities: leveraging generative AI in discussion forums to support student learning. 26th International Conference on Artificial Intelligence in Education, AIED 2025, Palermo, Italy, 22-26 July 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-98465-5_37

From misunderstandings to learning opportunities: leveraging generative AI in discussion forums to support student learning

2025

Other Outputs

Community attitudes towards data analytics in law enforcement

Pool, J., Indulska, M., Someh, I. and Sadiq, S. (2025). Community attitudes towards data analytics in law enforcement. Brisbane, QLD, Australia: The University of Queensland and Queensland Police Service. doi: 10.14264/2178369

Community attitudes towards data analytics in law enforcement

2024

Conference Publication

EMIT - event-based masked auto encoding for irregular time series

Patel, Hrishikesh, Qiu, Ruihong, Irwin, Adam, Sadiq, Shazia and Wang, Sen (2024). EMIT - event-based masked auto encoding for irregular time series. 2024 IEEE International Conference on Data Mining (ICDM), Abu Dhabi, United Arab Emirates, 9-12 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm59182.2024.00044

EMIT - event-based masked auto encoding for irregular time series

2024

Journal Article

Large language models meet user interfaces: the case of provisioning feedback

Pozdniakov, Stanislav, Brazil, Jonathan, Abdi, Solmaz, Bakharia, Aneesha, Sadiq, Shazia, Gašević, Dragan, Denny, Paul and Khosravi, Hassan (2024). Large language models meet user interfaces: the case of provisioning feedback. Computers and Education: Artificial Intelligence, 7 100289, 100289-7. doi: 10.1016/j.caeai.2024.100289

Large language models meet user interfaces: the case of provisioning feedback

2024

Conference Publication

Influence of metadata on quality evaluation of unstructured information artefacts

Zhou, Hui, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2024). Influence of metadata on quality evaluation of unstructured information artefacts. The Australasian Conference on Information Systems (ACIS 2024), Canberra, ACT Australia, 4-6 December, 2024. AIS Electronic Library.

Influence of metadata on quality evaluation of unstructured information artefacts

2024

Journal Article

Numerical technique based on operational matrices of fractional integration using ψ‐shifted Chebyshev polynomials

Sadiq, Shazia and ur Rehman, Mujeeb (2024). Numerical technique based on operational matrices of fractional integration using ψ‐shifted Chebyshev polynomials. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 37 (6) e3314. doi: 10.1002/jnm.3314

Numerical technique based on operational matrices of fractional integration using ψ‐shifted Chebyshev polynomials

2024

Journal Article

Integrating design thinking and agile approaches in analytics development: the case of Aginic

Brea, Edgar, Someh, Ida, Freya, Emma, Thebault, Brett and Sadiq, Shazia (2024). Integrating design thinking and agile approaches in analytics development: the case of Aginic. Journal of Information Technology Teaching Cases, 14 (2), 227-240. doi: 10.1177/20438869231178035

Integrating design thinking and agile approaches in analytics development: the case of Aginic

2024

Journal Article

Large language models and generative AI in telehealth: a responsible use lens

Pool, Javad, Indulska, Marta and Sadiq, Shazia (2024). Large language models and generative AI in telehealth: a responsible use lens. Journal of the American Medical Informatics Association, 31 (9), 2125-2136. doi: 10.1093/jamia/ocae035

Large language models and generative AI in telehealth: a responsible use lens

2024

Conference Publication

Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks

Wang, Zongwei, Yu, Junliang, Gao, Min, Yin, Hongzhi, Cui, Bin and Sadiq, Shazia (2024). Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671795

Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks

2024

Conference Publication

Fairness without sensitive attributes via knowledge sharing

Ni, Hongliang, Han, Lei, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2024). Fairness without sensitive attributes via knowledge sharing. 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, 3-6 June 2024. New York, NY, United States: ACM. doi: 10.1145/3630106.3659014

Fairness without sensitive attributes via knowledge sharing

2024

Conference Publication

On the Role of Large Language Models in Crowdsourcing Misinformation Assessment

Xu, Jiechen, Han, Lei, Sadiq, Shazia and Demartini, Gianluca (2024). On the Role of Large Language Models in Crowdsourcing Misinformation Assessment. Eighteenth International AAAI Conference on Web and Social Media, Buffalo, NY United States, 3-6 June 2024. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v18i1.31417

On the Role of Large Language Models in Crowdsourcing Misinformation Assessment

2024

Conference Publication

How good are LLMs in generating personalized advertisements?

Meguellati, Elyas, Han, Lei, Bernstein, Abraham, Sadiq, Shazia and Demartini, Gianluca (2024). How good are LLMs in generating personalized advertisements?. WWW '24: The ACM Web Conference 2024, Singapore, 13-17 May 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3589335.3651520

How good are LLMs in generating personalized advertisements?

2024

Journal Article

Variational counterfactual prediction under runtime domain corruption

Wen, Hechuan, Chen, Tong, Chai, Li Kheng, Sadiq, Shazia, Gao, Junbin and Yin, Hongzhi (2024). Variational counterfactual prediction under runtime domain corruption. IEEE Transactions on Knowledge and Data Engineering, 36 (5) 10271745, 2271-2284. doi: 10.1109/tkde.2023.3321893

Variational counterfactual prediction under runtime domain corruption

2024

Journal Article

Editorial: Special Issue on Human in the Loop Data Curation

Demartini, Gianluca, Sadiq, Shazia and Yang, Jie (2024). Editorial: Special Issue on Human in the Loop Data Curation. Journal of Data and Information Quality, 16 (1) 3, 1-2. doi: 10.1145/3650209

Editorial: Special Issue on Human in the Loop Data Curation