All Outputs (2155)

Cost and performance comparison of holistic solution approaches for complex supply chains on a novel linked problem benchmark. (2024)
Presentation / Conference Contribution
OGUNSEMI, A., MCCALL, J., ZAVOIANU, C. and CHRISTIE, L.A. 2024. Cost and performance comparison of holistic solution approaches for complex supply chains on a novel linked problem benchmark. In Proceedings of the Genetic and evolutionary computation conference 2024 (GECCO'24), 14-18 July 2024, Melbourne, Australia. New York: Association for Computing Machinery (ACM) [online], pages 1327- 1335. Available from: https://doi.org/10.1145/3638529.3654163

Modern supply chains are complex structures of interacting units exchanging goods and services. Business decisions made by individual units in the supply chain have knock-on effects on decisions made by successor units in the chain. Linked Optimisati... Read More about Cost and performance comparison of holistic solution approaches for complex supply chains on a novel linked problem benchmark..

Mining potentially explanatory patterns via partial solutions. (2024)
Presentation / Conference Contribution
CATALANO, G.A.P.I., BROWNLEE, A.E.I., CAIRNS, D., MCCALL, J. and AINSLIE, R. 2024. Mining potentially explanatory patterns via partial solutions. In GECCO'24 companion: proceedings of the 2024 Genetic and evolutionary computation conference companion 2024 (GECCO'24 companion), 14-18 July 2024, Melbourne, Australia. New York: ACM [online], pages 567-570. Available from: https://doi.org/10.1145/3638530.3654318

We introduce Partial Solutions to improve the explainability of genetic algorithms for combinatorial optimization. Partial Solutions represent beneficial traits found by analyzing a population, and are presented to the user for explainability, but al... Read More about Mining potentially explanatory patterns via partial solutions..

Resilience and adaptation of third sector organizations (TSOs): insights from a developing economy. (2024)
Presentation / Conference Contribution
FAGBEMI, T., DOSUMU, O., ADIGUN, R., NAKPODIA, F. and SAKARIYAHU, R. 2024. Resilience and adaptation of third sector organizations (TSOs): insights from a developing economy. Academy of Management proceedings [online], 2024(1): proceedings of the 84th Annual meeting of the Academy of Management (AOM 2024), 9-13 August 2024, Chicago, USA. Available from: https://doi.org/10.5465/AMPROC.2024.21bp

This study investigates the resilience and adaptation strategies of Third Sector Organizations (TSOs) in Nigeria, employing a semi-structured interview methodology to explore how these entities navigate socio-economic challenges, particularly during... Read More about Resilience and adaptation of third sector organizations (TSOs): insights from a developing economy..

Curriculum analysis for data systems education. (2024)
Presentation / Conference Contribution
MIEDEMA, D., TAIPALUS, T., AJANOVSKI, V.V., ALAWINI, A., GOODFELLOW, M., LIUT, M., PELTSVERGER, S. and YOUNG, T. 2024. Curriculum analysis for data systems education. In Monga, M., Lonati, V. Barendsen, E. et al. (eds.) ITiCSE 2024: innovation and technology in computer science education: proceedings of the 29th Innovation and technology in computer science education 2024, 8-10 July 2024, Milan, Italy. New York: ACM [online], volume 2, pages 761-762. Available from: https://doi.org/10.1145/3649405.3659529

The field of data systems has seen quick advances due to the popularization of data science, machine learning, and real-time analytics. In industry contexts, system features such as recommendation systems, chatbots and reverse image search require ef... Read More about Curriculum analysis for data systems education..

A plan for a joint study into the impacts of AI on professional competencies of IT professionals and implications for computing students. (2024)
Presentation / Conference Contribution
CLEAR, T., CAJANDER, A., CLEAR, A., MCDERMOTT, R., BERGQVIST, A., DANIELS, M., DIVITINI, M., FORSHAW, M., HUMBLE, N., KASINIDOU, M., KLEANTHOUS, S., KULTUR, C., PARVINI, G., POLASH, M. and ZHU, T. 2024. A plan for a joint study into the impacts of AI on professional competencies of IT professionals and implications for computing students. In Monga, M., Lonati, V. Barendsen, E. et al. (eds.) ITiCSE 2024: innovation and technology in computer science education: proceedings of the 29th Innovation and technology in computer science education 2024 (ITiCSE 2024), 8-10 July 2024, Milan, Italy. New York: ACM [online], volume 2, pages 757-758. Available from: https://doi.org/10.1145/3649405.3659527

As Artificial Intelligence (AI) continues to make its presence felt in transforming workplaces around the world, and the Information Technology industry in particular, it is essential to understand its impact on the work practices of IT professionals... Read More about A plan for a joint study into the impacts of AI on professional competencies of IT professionals and implications for computing students..

Sparse autoencoder based hyperspectral anomaly detection with the singular spectrum analysis based spectral denoising. (2024)
Presentation / Conference Contribution
LI, Y., REN, J., GAO, Z. and SUN, G. 2024. Sparse autoencoder based hyperspectral anomaly detection with the singular spectrum analysis based spectral denoising. In Proceedings of the 2024 IEEE International geoscience and remote sensing symposium (IGARSS 2024), Athens, Greece, 7-12 July 2024. Piscataway: IEEE [online], pages 9210-9213. Available from: https://doi.org/10.1109/igarss53475.2024.10641314

As an effective tool for monitoring surface irregularities in remote sensing, hyperspectral anomaly detection (HAD) has garnered increasing attention. However, how to improve the detection accuracy remains a formidable challenge, due mainly to the no... Read More about Sparse autoencoder based hyperspectral anomaly detection with the singular spectrum analysis based spectral denoising..

A novel surrogate model for variable-length encoding and its application in optimising deep learning architecture. (2024)
Presentation / Conference Contribution
DANG, T., NGUYEN, T.T., MCCALL, J., HAN, K. and LIEW, A.W.-C. 2024. A novel surrogate model for variable-length encoding and its application in optimising deep learning architecture. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) Congress on evolutionary computation (CEC 2024), 30 June - 5 July 2024, Yokohama, Japan. Available from: https://doi.org/10.1109/CEC60901.2024.10611960

Deep neural networks (DNN) has achieved great successes across multiple domains. In recent years, a number of approaches have emerged on automatically finding the optimal DNN configurations. A technique among these approaches which show great promise... Read More about A novel surrogate model for variable-length encoding and its application in optimising deep learning architecture..

VISTA: a variable length genetic algorithm and LSTM-based surrogate assisted ensemble selection algorithm in multiple layers ensemble system. (2024)
Presentation / Conference Contribution
HAN, K., NGUYEN, T.T., VU, V.A., LIEW, A.W.-C., DANG, T. and NGUYEN, T.T. 2024. VISTA: a variable length genetic algorithm and LSTM-based surrogate assisted ensemble selection algorithm in multiple layers ensemble system. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) Congress on evolutionary computation (CEC 2024), 30 June - 5 July 2024, Yokohama, Japan. Piscataway: IEEE [online], article 10612029. Available from: https://doi.org/10.1109/CEC60901.2024.10612029

We proposed a novel ensemble selection method called VISTA for multiple layers ensemble systems (MLES). Our ensemble model consists of multiple layers of ensemble of classifiers (EoC) in which the EoC in each layer is trained on the data generated by... Read More about VISTA: a variable length genetic algorithm and LSTM-based surrogate assisted ensemble selection algorithm in multiple layers ensemble system..

Meta skills and level learning outcomes: is there a miss-match? (2024)
Presentation / Conference Contribution
BREMNER, P.A.M. and PIRIE, E. 2024. Meta skills and level learning outcomes: is there a miss-match? Presented at the 2024 Advanced HE teaching and learning conference: future-focused education: innovation, inclusion and impact, 2-4 July 2024, Nottingham, UK.

The authors conducted a qualitative research over an academic year using six modules in six creative degrees to evaluate if students and staff were able to articulate what meta skills they have learned on a module. In four out of the six modules stud... Read More about Meta skills and level learning outcomes: is there a miss-match?.

An enterprising approach to postgraduate engineering courses for sustainable futures. (2024)
Presentation / Conference Contribution
IYALLA, I., MOULE, C., CHARLES, S. and MAHON, R. 2024. An enterprising approach to postgraduate engineering courses for sustainable futures. Presented at the 2024 Advance HE teaching and learning conference: future-focused education: innovation, inclusion and impact, 2-4 July 2024, Nottingham, UK.

This interactive session is for HE educators seeking to align their teaching to Advance HE's strategic objectives of incorporating "experiential learning, working in multidisciplinary teams on real-world challenges pivotal in cultivating essential co... Read More about An enterprising approach to postgraduate engineering courses for sustainable futures..

A zero-shot monolingual dual stage information retrieval system for Spanish biomedical systematic literature reviews. (2024)
Presentation / Conference Contribution
OFORI-BOATENG, R., ACEVES-MARTINS, M., WIRATUNGA, N. and MORENO-GARCIA, C. 2024. A zero-shot monolingual dual stage information retrieval system for Spanish biomedical systematic literature reviews. In Duh, K., Gomez, H. and Bethard, S. (eds.) Proceedings of the 2024 North American Chapter of the Association for Computational Linguistics conference (NAACL 2024): human language technologies, 16-21 June 2024, Mexico City, Mexico. Stroudsburg, PA: ACL [online], volume 1: long papers, pages 3725-3736. Available from: https://doi.org/10.18653/v1/2024.naacl-long.206

Systematic Reviews (SRs) are foundational in healthcare for synthesising evidence to inform clinical practices. Traditionally skewed towards English-language databases, SRs often exclude significant research in other languages, leading to potential b... Read More about A zero-shot monolingual dual stage information retrieval system for Spanish biomedical systematic literature reviews..

Who's the "pioneer"? A critical examination of "pioneer journalism" from an indigenous perspective. (2024)
Presentation / Conference Contribution
ANDERSON, B. and HALABI, N. 2024. Who's the "pioneer"? A critical examination of "pioneer journalism" from an indigenous perspective. Presented at the 2024 International Association for Media and Communication Research conference (IAMCR 2024): weaving people together: communicative projects of decolonising, engaging and listening, 30 June - 4 July 2024, Christchurch, New Zealand.

Journalism scholarship has been preoccupied with discourses of futures thinking and reimagining what journalism could be (Zelizer, Boczkowski, and Anderson, 2022), leading to the emergence of new conceptual frameworks such as "pioneer journalism", wh... Read More about Who's the "pioneer"? A critical examination of "pioneer journalism" from an indigenous perspective..

What non-mainstream journalism can(not) do: the "affect economy" of four journalism startups in Malaysia, Pakistan, Romania and the UK. (2024)
Presentation / Conference Contribution
ANDERSON, B. 2024. What non-mainstream journalism can(not) do: the "affect economy" of four journalism startups in Malaysia, Pakistan, Romania and the UK. Presented at the 2024 Auckland University of Technology Research Centre for Journalism, Media and Democracy conference (JMAD Conference 2024): political economy of journalism, an International Association for Media and Communication Research pre-conference, 27 June 2024, Auckland, New Zealand.

Recognising that journalism operates within various constraints, scholars have theorised the relationship between journalism and its environment through a hierarchical model of influences (Shoemaker and Reese, 1996). Recently, there has been a recons... Read More about What non-mainstream journalism can(not) do: the "affect economy" of four journalism startups in Malaysia, Pakistan, Romania and the UK..

Weaving knowledge together: the micropolitics of "encounters" in community journalism. (2024)
Presentation / Conference Contribution
ANDERSON, B. 2024. Weaving knowledge together: the micropolitics of "encounters" in community journalism. Presented at the 2024 International Association for Media and Communication Research / International Communication Association bridge conference: the ascent of community and activist media: theorising the turn to counter-power media and communication, 25 June 2024, Gold Coast, Australia.

Community journalism has been hailed as one of several solutions to journalism's deepening crisis, motivating scholarly interest in how community-focused journalists produce knowledge in their networks (Callison and Young, 2019; Fenton et al., 2010;... Read More about Weaving knowledge together: the micropolitics of "encounters" in community journalism..

CBR-RAG: case-based reasoning for retrieval augmented generation in LLMs for legal question answering. (2024)
Presentation / Conference Contribution
WIRATUNGA, N., ABEYRATNE, R., JAYAWARDENA, L., MARTIN, K., MASSIE, S., NKISI-ORJI, I., WEERASINGHE, R., LIRET, A. and FLEISCH, B. 2024. CBR-RAG: case-based reasoning for retrieval augmented generation in LLMs for legal question answering. In Recio-Garcia, J.A., Orozco-del-Castillo, M.G. and Bridge, D (eds.) Case-based reasoning research and development: proceedings of the 32nd International conference of case-based reasoning research and development 2024 (ICCBR 2024), 1-4 July 2024, Merida, Mexico. Lecture notes in computer science, 14775. Cham: Springer [online], pages 445-460. Available from: https://doi.org/10.1007/978-3-031-63646-2_29

Retrieval-Augmented Generation (RAG) enhances Large Language Model (LLM) output by providing prior knowledge as context to input. This is beneficial for knowledge-intensive and expert reliant tasks, including legal question-answering, which require e... Read More about CBR-RAG: case-based reasoning for retrieval augmented generation in LLMs for legal question answering..

Enrich, distill and fuse: generalized few-shot semantic segmentation in remote sensing leveraging foundation model's assistance. (2024)
Presentation / Conference Contribution
GAO, T., AO, W., WANG, X.-A., ZHAO, Y., MA, P., XIE, M., FU, H., REN, J. and GAO, Z. 2024. Enrich, distill and fuse: generalized few-shot semantic segmentation in remote sensing leveraging foundation model’s assistance. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) Computer Society conference on Computer vision and pattern recognition workshops (CVPRW 2024), 16-22 June 2024, Seattle, WA, USA. Piscataway: IEEE [online], pages 2771-2780. Available from: https://doi.org/10.1109/CVPRW63382.2024.00283

Generalized few-shot semantic segmentation (GFSS) unifies semantic segmentation with few-shot learning, showing great potential for Earth observation tasks under data scarcity conditions, such as disaster response, urban planning, and natural resourc... Read More about Enrich, distill and fuse: generalized few-shot semantic segmentation in remote sensing leveraging foundation model's assistance..

HEADS: hybrid ensemble anomaly detection system for Internet-of-Things networks. (2024)
Presentation / Conference Contribution
AHMAD, Z., PETROVSKI, A., ARIFEEN, M., KHAN, A.S. and SHAH, S.A. 2024. HEADS: hybrid ensemble anomaly detection system for Internet-of-Things networks. In Iliadis, L., Maglogiannis, I., Papaleonidas, A., Pimenidis, E. and Jayne, C. (eds.) Engineering applications on neural networks: proceedings of the 25th International Engineering applications on neural networks 2024 (EANN 2024), 27-30 June 2024, Corfu, Greece. Communications in computer and information science, 2141. Cham: Springer [online], pages 178-190. Available from: https://doi.org/10.1007/978-3-031-62495-7_14

The rapid expansion of Internet-of-Things (IoT) devices has revolutionized connectivity, facilitating the exchange of extensive data within IoT networks via the traditional internet. However, this innovation has also increased security concerns due t... Read More about HEADS: hybrid ensemble anomaly detection system for Internet-of-Things networks..

Between futures thinking and a settler-colonialist past: a critical examination of "pioneer journalism" from the perspective of indigenous journalists and their epistemic practices. (2024)
Presentation / Conference Contribution
ANDERSON, B. and HALABI, N. 2024. Between futures thinking and a settler-colonialist past: a critical examination of "pioneer journalism" from the perspective of indigenous journalists and their epistemic practices. Presented at the 74th Annual International Communication Association conference (ICA 2024): communication and global human rights, 20-24 June 2024, Gold Coast, Australia.

Journalism, historically considered a pillar of public knowledge, deliberation and democracy, has been shedding its epistemic authority as increasingly fragmented audiences migrate to "alternative" sources of information. Consequently, within the eve... Read More about Between futures thinking and a settler-colonialist past: a critical examination of "pioneer journalism" from the perspective of indigenous journalists and their epistemic practices..

Enhancing gas-pipeline monitoring with graph neural networks: a new approach for acoustic emission analysis under variable pressure conditions. (2024)
Presentation / Conference Contribution
HASAN, M.J., ARIFEEN, M., SOHAIB, M., ROHAN, A. and KANNAN, S. 2024. Enhancing gas pipeline monitoring with graph neural networks: a new approach for acoustic emission analysis under variable pressure conditions. To be published in Proceedings of the 20th International conference on condition monitoring and asset management 2024 (CM 2024), 18-20 June 2024, Oxford, UK. Northampton: BINDT [online], (accepted). To be made available at: https://doi.org/10.1784/cm2024.4b3

Traditional machine learning (ML) and deep learning (DL)-based acoustic emission (AE) data-driven condition monitoring models face several reliability issues due to factors such as fluid pressure changes, flange vibrations, inconsistent leak lengths,... Read More about Enhancing gas-pipeline monitoring with graph neural networks: a new approach for acoustic emission analysis under variable pressure conditions..

Embedding academic study skills within a module to support student achievement and sustained engagement with assessment. (2024)
Presentation / Conference Contribution
BURGESS, K. 2024. Embedding academic study skills within a module to support student achievement and sustained engagement with assessment. Presented at the 2024 Assessment in higher education conference (AHE 2024), 19-20 June 2024, Manchester, UK.

As the diversity and number of the student population entering higher education are increasing worldwide, it is observed that the number of students who possess inadequate study skills is also rising (Groves, Bowd and Smith 2010). Support with study... Read More about Embedding academic study skills within a module to support student achievement and sustained engagement with assessment..