The lifecycle of a social media beauty trend: a case study of the Instagram body. (2022)
Thesis
UTI, T.O. 2022. The lifecycle of a social media beauty trend: a case study of the Instagram body. Robert Gordon University, MPhil thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2071810

The study pursued the creation of a functional model of the typical lifecycle of a social media beauty trend. Within the fashion and consumer goods industries, lifecycle models already exist that explain the typical manifestations of products and tre... Read More about The lifecycle of a social media beauty trend: a case study of the Instagram body..

Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search. (2022)
Conference Proceeding
RICA, E., ALVAREZ, S., MORENO-GARCIA, C.F. and SERRATOSA, F. 2022. Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search. In Krzyzak, A., Suen, C.Y., Torsello, A. and Nobile, N. (eds.) Structural, syntactic, and statistical pattern recognition: proceedings of the 2022 Joint International Association for Pattern Recognition (IAPR) international workshops on statistical techniques in pattern recognition, and structural and syntactic pattern recognition (S+SSPR 2022), 26-27 August 2022, Montréal, Canada. Lecture notes in computer science, 13813. Cham: Springer [online], pages 274-282. Available from: https://doi.org/10.1007/978-3-031-23028-8_28

Thousands of huge printed sheets depicting engineering drawings keep record of complex industrial structures from Oil & Gas facilities. Currently, there is a trend of digitising these drawings, having as final end the regeneration of the original com... Read More about Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search..

Clinical dialogue transcription error correction using Seq2Seq models. (2022)
Conference Proceeding
NANAYAKKARA, G., WIRATURNGA, N., CORSAR, D., MARTIN, K. and WIJEKOON, A. 2022. Clinical dialogue transcription error correction using Seq2Seq models. In Shaban-Nejad, A., Michalowski, M. and Bianco, S. (eds.) Multimodal AI in healthcare: a paradigm shift in health intelligence; selected papers from the 6th International workshop on health intelligence (W3PHIAI-22), co-located with the 34th AAAI (Association for the Advancement of Artificial Intelligence) Innovative applications of artificial intelligence (IAAI-22), 28 February - 1 March 2022, [virtual event]. Studies in computational intelligence, 1060. Cham: Springer [online], pages 41-57. Available from: https://doi.org/10.1007/978-3-031-14771-5_4

Good communication is critical to good healthcare. Clinical dialogue is a conversation between health practitioners and their patients, with the explicit goal of obtaining and sharing medical information. This information contributes to medical decis... Read More about Clinical dialogue transcription error correction using Seq2Seq models..

Indicative findings from a study of information behaviour in digital business ideation: insights from the developing world. (2022)
Journal Article
IBRAHIM, S., MARCELLA, R. and MACLENNAN, A. 2022. Indicative findings from a study of information behaviour in digital business ideation: insights from the developing world. Information research [online], 27(Special issue): proceedings of the 11th International conference on Conceptions of library and information science (CoLIS), 29 May - 01 June 2022, Oslo, Sweden and proceedings of the 2022 Information seeking in context conference (ISIC 2022): the information behaviour conference, 26-29 September 2022, Berlin, Germany, article isic2233. Available from: https://doi.org/10.47989/irisic2233

Though a wealth of information behaviour research has been undertaken in various contexts over the years, less has been done on entrepreneurship. In particular, there is a lack of literature around the ideation component in the early stages of busine... Read More about Indicative findings from a study of information behaviour in digital business ideation: insights from the developing world..

Enhancing students' digital skills with impact: the "Digital Literacy" project. (2022)
Presentation / Conference
MARTZOUKOU, K. 2022. Enhancing students' digital skills with impact: the "Digital Literacy" project. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

In line with UK strategic priorities (UK Department for Education 2019), the "Digital Literacy" project - supported by a DELTA (QAA) "Emerging Stronger Award" - aims to identify pockets of digital inequalities in students, to enhance their digital ca... Read More about Enhancing students' digital skills with impact: the "Digital Literacy" project..

Digital competencies in higher education: an agenda for students' equal participation. (2022)
Presentation / Conference
MARTZOUKOU, K. 2022. Digital competencies in higher education: an agenda for students' equal participation. Presented at the 28th Panhellenic academic libraries conference: green and sustainable academic libraries in the post-COVID era, 19-21 October 2022, Corfu, Greece.

In the modern online and interconnected environment, digital competences have emerged as an umbrella concept that is considered an important condition for learning, communication, civic participation and engagement, informed citizenship, employabilit... Read More about Digital competencies in higher education: an agenda for students' equal participation..

Content type profiling of data-to-text generation datasets. (2022)
Conference Proceeding
UPADHYAY, A. and MASSIE, S. 2022. Content type profiling of data-to-text generation datasets. In N. Calzolari, C.-R. Huang, H. Kim. et al. (eds.) Proceedings of the 29th International conference on computational linguistics (COLING 2022), 12-17 October 2022, Gyeongju, Republic of Korea. Stroudsburg, PA: International Committee on Computational Linguistics [online], 29(1), pages 5770–5782. Available from: https://aclanthology.org/2022.coling-1.pdf

Data-to-Text Generation (D2T) problems can be considered as a stream of time-stamped events with a text summary being produced for each. The problem becomes more challenging when event summaries contain complex insights derived from multiple records... Read More about Content type profiling of data-to-text generation datasets..

What is next for information world mapping? International and multidisciplinary approaches to understanding information behaviors/practices in context. (2022)
Journal Article
KITZIE, V.L., TSAI, T.-I., MARTZOUKOU, K., MABI, M.N. and GREYSON, D. 2022. What is next for information world mapping? International and multidisciplinary approaches to understanding information behaviors/practice in context. Library and information science research [online], 44(4), article 101196. Available from: https://doi.org/10.1016/j.lisr.2022.101196

As the use of arts-involved and data visualization methods increases in information science, it is essential to reflect on the strengths and weaknesses of various methods. An international lineup of information researchers shares their experiences us... Read More about What is next for information world mapping? International and multidisciplinary approaches to understanding information behaviors/practices in context..

Voice spoofing countermeasure for voice replay attacks using deep learning. (2022)
Journal Article
ZHOU, J., HAI, T., JAWAWI, D.N.A., WANG, D., IBEKE, E. and BIAMBA, C. 2022. Voice spoofing countermeasure for voice replay attacks using deep learning. Journal of cloud computing: advances, systems and applications [online], 11, article number 51. Available from: https://doi.org/10.1186/s13677-022-00306-5

In our everyday lives, we communicate with each other using several means and channels of communication, as communication is crucial in the lives of humans. Listening and speaking are the primary forms of communication. For listening and speaking, th... Read More about Voice spoofing countermeasure for voice replay attacks using deep learning..

Development and pilot evaluation of an online retrofit decision-making tool for homeowners. [Dataset] (2022)
Dataset
SEDDIKI, M., BENNADJI, A., ALABID, J., GRAY, D. and DEVECI, G. 2022. Development and pilot evaluation of an online retrofit decision-making tool for homeowners. [Dataset]. Buildings [online], 12(10), article 1513. Available from: https://www.mdpi.com/2075-5309/12/10/1513/htm

Many retrofit projects went wrong in the UK principally because of the application of inappropriate retrofit solutions, which resulted in damp issues, with some leaving houses in worse conditions than pre-retrofit. Various online tools were developed... Read More about Development and pilot evaluation of an online retrofit decision-making tool for homeowners. [Dataset].

Development and pilot evaluation of an online retrofit decision-making tool for homeowners. (2022)
Journal Article
SEDDIKI, M., BENNADJI, A., ALABID, J., GRAY, D. and DEVECI, G. 2022. Development and pilot evaluation of an online retrofit decision-making tool for homeowners. Buildings [online], 12(10), article 1513. Available from: https://doi.org/10.3390/buildings12101513

Many retrofit projects went wrong in the UK principally because of the application of inappropriate retrofit solutions, which resulted in damp issues, with some leaving houses in worse conditions than pre-retrofit. Various online tools were developed... Read More about Development and pilot evaluation of an online retrofit decision-making tool for homeowners..

Fintech application on banking stability using big data of an emerging economy. (2022)
Journal Article
YIN, F., JIAO, X., ZHOU, J., YIN, X., IBEKE, E., IWENDI, M.G. and BIAMBA, C. 2022. Fintech application on banking stability using big data of an emerging economy. Journal of cloud computing [online], 11, article number 43. Available from: https://doi.org/10.1186/s13677-022-00320-7

The rapid growth and development of financial technological advancement (Fintech) services and innovations have attracted the attention of scholars who are now on a quest to analyse their impact on the banking sector. This study conducts several kind... Read More about Fintech application on banking stability using big data of an emerging economy..

Cross domain evaluation of text detection models. (2022)
Conference Proceeding
ALI-GOMBE, A., ELYAN, E., MORENO-GARCÍA, C. and JAYNE, C. 2022. Cross domain evaluation of text detection models. In Pimenidis, E., Angelov, P., Jayne, C., Papaleonidas, A. and Aydin, M. (eds.) Artificial neural networks and machine learning - ICANN 2022: proceedings of the 31st International conference on artificial neural networks (ICANN 2022), 6-9 September 2022, Bristol, UK, part III. Lecture notes in computer science, 13531. Cham: Springer [online], pages 50-61. Available from: https://doi.org/10.1007/978-3-031-15934-3_5

Text detection is a very common task across a wide range of domains, such as document image analysis, remote identity verification, amongst others. It is also considered an integral component of any text recognition system, where the performance of r... Read More about Cross domain evaluation of text detection models..

Tourism cloud management system: the impact of smart tourism. (2022)
Journal Article
YIN, F., YIN, X., ZHOU, J., ZHANG, X., ZHANG, R., IBEKE, E., IWENDI, M.G. and SHAH, M. 2022. Tourism cloud management system: the impact of smart tourism. Journal of cloud computing: advances, systems and applications [online], 11, article number 37. Available from: https://doi.org/10.1186/s13677-022-00316-3

This study investigates the possibility of supporting tourists in a foreign land intelligently by using the Tourism Cloud Management System (TCMS) to enhance and better their tourism experience. Some technologies allow tourists to highlight popular t... Read More about Tourism cloud management system: the impact of smart tourism..

Maddie is online: a creative learning path to digital literacy for young people. (2022)
Presentation / Conference
MARTZOUKOU, K. 2022. Maddie is online: a creative learning path to digital literacy for young people. Presented at the 2022 Library of the future conference, 25-26 August 2022, Odorheiu Secuiesc, Romania.

This presentation gives an overview of the "Maddie is Online" project, which aims: 1) to improve young people's digital literacy skills; 2) to increase the number of schools that deliver digital literacy education; 3) to involve students directly in... Read More about Maddie is online: a creative learning path to digital literacy for young people..

A case-based approach for content planning in data-to-text generation. (2022)
Conference Proceeding
UPADHYAY, A. and MASSIE, S. 2022. A case-based approach for content planning in data-to-text generation. In Keane, M.T. and Wiratunga, N. (eds.) Case-based reasoning research and development: proceedings of the 30th International conference on case-based reasoning (ICCBR 2022), 12-15 September 2022, Nancy, France. Lecture notes in computer science, 13405. Cham: Springer [online], pages 380-394. Available from: https://doi.org/10.1007/978-3-031-14923-8_25

The problem of Data-to-Text Generation (D2T) is usually solved using a modular approach by breaking the generation process into some variant of planning and realisation phases. Traditional methods have been very good at producing high quality texts b... Read More about A case-based approach for content planning in data-to-text generation..

How close is too close? Role of feature attributions in discovering counterfactual explanations. (2022)
Conference Proceeding
WIJEKOON, A., WIRATUNGA, N., NKISI-ORJI, I., PALIHAWADANA, C., CORSAR, D. and MARTIN, K. 2022. How close is too close? Role of feature attributions in discovering counterfactual explanations. In Keane, M.T. and Wiratunga, N. (eds.) Case-based reasoning research and development: proceedings of the 30th International conference on case-based reasoning (ICCBR 2022), 12-15 September 2022, Nancy, France. Lecture notes in computer science, 13405. Cham: Springer [online], pages 33-47. Available from: https://doi.org/10.1007/978-3-031-14923-8_3

Counterfactual explanations describe how an outcome can be changed to a more desirable one. In XAI, counterfactuals are "actionable" explanations that help users to understand how model decisions can be changed by adapting features of an input. A cas... Read More about How close is too close? Role of feature attributions in discovering counterfactual explanations..

TransSLC: skin lesion classification in dermatoscopic images using transformers. (2022)
Conference Proceeding
SARKER, M.M.K., MORENO-GARCÍA, C.F., REN, J. and ELYAN, E. 2022. TransSLC: skin lesion classification in dermatoscopic images using transformers. In Yang, G., Aviles-Rivero, A., Roberts, M. and Schönlieb, C.-B. (eds.) Medical image understanding and analysis: proceedings of 26th Medical image understanding and analysis 2022 (MIUA 2022), 27-29 July 2022, Cambridge, UK. Lecture notes in computer sciences, 13413. Cham: Springer [online], pages 651-660. Available from: https://doi.org/10.1007/978-3-031-12053-4_48

Early diagnosis and treatment of skin cancer can reduce patients' fatality rates significantly. In the area of computer-aided diagnosis (CAD), the Convolutional Neural Network (CNN) has been widely used for image classification, segmentation, and rec... Read More about TransSLC: skin lesion classification in dermatoscopic images using transformers..

Purposive and non-purposive information behaviour on Instagram. (2022)
Journal Article
MARCELLA-HOOD, M. and MARCELLA, R. 2023. Purposive and non-purposive information behaviour on Instagram. Journal of librarianship and information science [online], 55(3), pages 634-657. Available from: https://doi.org/10.1177/09610006221097974

User information behaviour on Instagram was explored via 274 responses to an online survey. Instagram is recognised as a powerful visual platform and consistently reports high engagement statistics across its variety of users. Research on Instagram t... Read More about Purposive and non-purposive information behaviour on Instagram..

Replacing human input in spam email detection using deep learning. (2022)
Conference Proceeding
NICHO, M., MAJDANI, F. and MCDERMOTT, C.D. 2022. Replacing human input in spam email detection using deep learning. In Degen, H. and NTOA, S. (eds.) Artificial intelligence in HCI: proceedings of 3rd International conference on artificial intelligence in HCI (human-computer interaction) 2022 (AI-HCI 2022), co-located with the 24th International conference on human-computer interaction 2022 (HCI International 2022), 26 June - 1 July 2022, [virtual conference]. Lecture notes in artificial intelligence (LNAI), 13336. Cham: Springer [online], pages 387-404. Available from: https://doi.org/10.1007/978-3-031-05643-7_25

The Covid-19 pandemic has been a driving force for a substantial increase in online activity and transactions across the globe. As a consequence, cyber-attacks, particularly those leveraging email as the preferred attack vector, have also increased e... Read More about Replacing human input in spam email detection using deep learning..