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This changes to that: combining causal and non-causal explanations to generate disease progression in capsule endoscopy. (2023)
Conference Proceeding
VATS, A., MOHAMMED, A., PEDERSEN, M. and WIRATUNGA, N. [2023]. This changes to that: combining causal and non-causal explanations to generate disease progression in capsule endoscopy. To be presented at the 2023 IEEE International conference on acoustics, speech and signal processing (ICASSP 2023), 4-10 June 2023, Rhodes Island, Greece.

Due to the unequivocal need for understanding the decision processes of deep learning networks, both modal-dependent and model-agnostic techniques have become very popular. Although both of these ideas provide transparency for automated decision maki... Read More about This changes to that: combining causal and non-causal explanations to generate disease progression in capsule endoscopy..

COVID-19 in the UK: sentiment and emotion analysis of Tweets over time. (2023)
Conference Proceeding
AMUJO, O., IBEKE, E. and IWENDI, C. [2023]. COVID-19 in the UK: sentiment and emotion analysis of Tweets over time. To be presented at the 2023 International conference on advances in communication technology and computer engineering (ICACTCE'23), 23-24 February 2023, Bolton, UK.

We performed an analysis of tweets concerning the COVID-19 pandemic in the UK over a two-year period, selecting fifteen timelines. Over 110,000 tweets were obtained from Twitter and analysed using BERT and Text2Emotions for sentiment and emotion anal... Read More about COVID-19 in the UK: sentiment and emotion analysis of Tweets over time..

A novel and innovative blockchain-empowered federated learning approach for secure data sharing in smart city applications. (2023)
Conference Proceeding
HAI, T., WANG, D., SEETHARAMAN, T., M, A., PM, S., SHARMA, V., IBEKE, E. and LIU, H. 2023. A novel and innovative blockchain-empowered federated learning approach for secure data sharing in smart city applications. To be presented at 2023 International conference on advances in communication technology and computer engineering (ICACTCE'23), 24-25 February 2023, Bolton, UK

The very existence of smart cities forms the stepping stone in the evolution of many technological advancements in the future era. While smart cities have already grown in their way, the tremendous amount of data generated from them paves the way for... Read More about A novel and innovative blockchain-empowered federated learning approach for secure data sharing in smart city applications..

Bibliometric analysis of scientific literature on mental health research in Africa. (2023)
Conference Proceeding
EGWUOGU, C., IBEKE, E., CHAURASIA, P. and IWENDI, C. [2023]. Bibliometric analysis of scientific literature on mental health research in Africa. To be presented at 2023 International conference on advances in communication technology and computer engineering (ICACTCE'23), 24-25 February 2023, Bolton, UK.

This bibliometric study presents a comprehensive summary of literature published on mental health research in Africa. The region has a large number of scientific studies conducted in this area. The purpose of this study was to investigate the contrib... Read More about Bibliometric analysis of scientific literature on mental health research in Africa..

DQR: a double Q learning multi agent routing protocol for wireless medical sensor network. (2023)
Conference Proceeding
HAJAR, M.S., KALUTARAGE, H. and AL-KADRI, M.O. 2023. DQR: a double Q learning multi agent routing protocol for wireless medical sensor network. In Li, F., Liang, K., Lin, Z. and Katsikas, S.K. (eds.) Security and privacy in communication networks: proceedings of the 18th EAI (European Alliance for Innovation) Security and privacy in communication networks 2022 (EAI SecureComm 2022), 17-19 October 2022, Kansas City, USA. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), 462. Cham: Springer [online], pages 611-629. Available from: https://doi.org/10.1007/978-3-031-25538-0_32

Wireless Medical Sensor Network (WMSN) offers innovative solutions in the healthcare domain. It alleviates the patients' everyday life difficulties and supports the already overloaded medical staff with continuous monitoring tools. However, widesprea... Read More about DQR: a double Q learning multi agent routing protocol for wireless medical sensor network..

On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems. (2022)
Conference Proceeding
HAN, K., CHRISTIE, L.A., ZAVOIANU, A.-C. and MCCALL, J. 2022. On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems. In Moreno-Díaz, R., Pichler, F. and Quesada-Arencibia, A. (eds.) Computer aided systems theory: Eurocast 2022; revised selected papers from the 18th International conference on computer aided systems theory (Eurocast 2022), 20-25 February 2022, Las Palmas, Spain. Lecture notes in computer science, 13789. Cham: Springer [online], pages 104-111. Available from: https://doi.org/10.1007/978-3-031-25312-6_12

While self-driving technology is still being perfected, public transport authorities are increasingly interested in the ability to model and optimise the benefits of adding connected and autonomous vehicles (CAVs) to existing multi-modal transport sy... Read More about On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems..

Lightweight interpolation-based surrogate modelling for multi-objective continuous optimisation. (2022)
Conference Proceeding
ZAVOIANU, A.-C., LACROIX, B. and MCCALL, J. 2022. Lightweight Interpolation-based surrogate modelling for multiobjective continuous optimisation. In Moreno-Díaz, R., Pichler, F. and Quesada-Arencibia, A. (eds.) Computer aided systems theory: Eurocast 2022; revised selected papers from the 18th International conference on computer aided systems theory (Eurocast 2022), 20-25 February 2022, Las Palmas, Spain. Lecture notes in computer science, 13789. Cham: Springer [online], pages 53-60. Available from: https://doi.org/10.1007/978-3-031-25312-6_6

We propose two surrogate-based strategies for increasing the convergence speed of multi-objective evolutionary algorithms (MOEAs) by stimulating the creation of high-quality individuals early in the run. Both offspring generation strategies are desig... Read More about Lightweight interpolation-based surrogate modelling for multi-objective continuous optimisation..

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..

iSee: intelligence sharing of explanation experience of users for users. (2022)
Conference Proceeding
WIJEKOON, A., WIRATUNGA, N., PALIHAWADANA, C., NKISI-ORJI, I., CORSAR, D. and MARTIN, K. [2023]. iSee: intelligence sharing of explanation experience of users for users. To be made available in the Proceedings of the 28th Intelligent user interfaces annual conference 2023 (IUI 2023), 27-31 March 2023, Sydney, Australia. New York: ACM [online], (accepted). To be made available from: https://doi.org/10.1145/3581754.3584137

The right to obtain an explanation of the decision reached by an Artificial Intelligence (AI) model is now an EU regulation. Different stakeholders of an AI system (e.g. managers, developers, auditors, etc.) may have different background knowledge, c... Read More about iSee: intelligence sharing of explanation experience of users for users..

The impact of COVID-19 on the CS student learning experience: how the pandemic has shaped the educational landscape. (2022)
Conference Proceeding
SIEGEL, A.A., ZARB, M., ANDERSON, E., CRANE, B., GAO, A., LATULIPE, C., LOVELLETTE, E., MCNEILL, F. and MEHARG, D. 2022. The impact of COVID-19 on the CS student learning experience: how the pandemic has shaped the educational landscape. In ITiCSE-WGR'22: proceedings of the 2022 Working group reports (WGR), co-located with the 27th Innovation and technology in computer science education annual conference (ITiCSE-WGR '22), 11-13 July 2022, Dublin, Ireland. New York: ACM [online], pages 165-190. Available from: https://doi.org/10.1145/3571785.3574126

Students have experienced incredible shifts in their learning environments, brought about by the response of universities to the ever-changing public health mandates driven by waves and stages of the coronavirus pandemic (COVID-19). Initially, these... Read More about The impact of COVID-19 on the CS student learning experience: how the pandemic has shaped the educational landscape..

Empowering inquiry-based learning in short courses for professional students. (2022)
Conference Proceeding
MARTIN, K., ZARB, M., MCDERMOTT, R. and YOUNG, T. [2023]. Empowering inquiry-based learning in short courses for professional students. In Proceedings of the 17th International annual education, research and innovation conference 2023 (INTED 2023), 6-8 March 2023, Valencia, Spain. Valencia: IATED [online], (forthcoming). To be made available from: https://library.iated.org/publications/INTED2023

This paper presents the pedagogic underpinning for the development of an online postgraduate short course educating participants on multi-modal data science, specifically within the context of the digital health industry. The growing digital health s... Read More about Empowering inquiry-based learning in short courses for professional students..

Mobile Platform for livestock monitoring and inspection. (2022)
Conference Proceeding
FABIYI, S.D., REN, J., HAN, Y., ZHU, Q. and BARCLAY, D. 2022. Mobile platform for livestock monitoring and inspection. In Proceedings of the 3rd International informatics and software engineering conference 2022 (IISEC 2022), 15-16 December 2022, Ankara, Turkey. Piscataway: IEEE [online], article 9998279. Available from: https://doi.org/10.1109/iisec56263.2022.9998297

Livestock keepers acquire and manage information (e.g. identification numbers, images, etc.) about livestock to identify and keep track of livestock using systems with capabilities to extract such information. Examples of such systems are Radio Frequ... Read More about Mobile Platform for livestock monitoring and inspection..

GEMv2: multilingual NLG benchmarking in a single line of code. (2022)
Conference Proceeding
GEHRMANN, S., BHATTACHARJEE, A., MAHENDIRAN, A., WANG, A., PAPANGELIS, A., MADAAN, A., MCMILLAN-MAJOR, A., SHVETS, A., UPADHYAY, A. and BOHNET, B. 2022. GEMv2: multilingual NLG benchmarking in a single line of code. In Proceedings of the 2022 Conference on Empirical methods in natural language processing: system demonstrations, 7-11 December 2022, Abu Dhabi, UAE. Stroudsburg: Association for Computational Linguistics [online], pages 266-281. Available from: https://aclanthology.org/2022.emnlp-demos.27/

Evaluations in machine learning rarely use the latest metrics, datasets, or human evaluation in favor of remaining compatible with prior work. The compatibility, often facilitated through leaderboards, thus leads to outdated but standardized evaluati... Read More about GEMv2: multilingual NLG benchmarking in a single line of code..

Resource efficient federated deep learning for IoT security monitoring. (2022)
Conference Proceeding
ZAKARIYYA, I., KALUTARAGE, H. and AL-KADRI, M.O. 2022. Resource efficient federated deep learning for IoT security monitoring. In Li, W., Furnell, S. and Meng, W. (eds.) Attacks and defenses for the Internet-of-Things: revised selected papers from the 5th International workshop on Attacks and defenses for Internet-of-Things 2022 (ADIoT 2022), in conjunction with 27th European symposium on research in computer security 2022 (ESORICS 2022) 29-30 Septempber 2022, Copenhagen, Denmark. Lecture notes in computer science (LNCS), 13745. Cham: Springer [online], pages 122-142. Available from: https://doi.org/10.1007/978-3-031-21311-3_6

Federated Learning (FL) uses a distributed Machine Learning (ML) concept to build a global model using multiple local models trained on distributed edge devices. A disadvantage of the FL paradigm is the requirement of many communication rounds before... Read More about Resource efficient federated deep learning for IoT security monitoring..

Characteristics of gas transport through inorganic ceramic membranes as porous media using air and nitrogen. (2022)
Conference Proceeding
IGBAGARA, W., HASHM, I.A., AISUENI, F., OGUNLUDE, P., RAMALAN, M., OGOUN, E., ASIM, T. and GOBINA, E. 2022. Characteristics of gas transport through inorganic ceramic membranes as porous media using air and nitrogen. In Proceedings of the 2nd International congress on scientific advances 2022 (ICONSAD'22), 21-24 December 2022, [virtual conference]. Turkey: ICONSAD [online], pages 417-425. Available from: https://en.iconsad.org/_files/ugd/1dd905_c45aeddf416d497e93113f00f465739b.pdf

Permeation experiments have been conducted using porous ceramic membranes having different pore sizes of 200nm and 6000nm respectively. Air and N2 gases were used as the characterizing fluids and experiments were carried out at temperatures of 20 C,... Read More about Characteristics of gas transport through inorganic ceramic membranes as porous media using air and nitrogen..

Knudsen number sensitivity to pressure drop in a nanoscale membrane. (2022)
Conference Proceeding
RAMALAN, M.M., PRABHU, R., HASHM, I., OGUNLUDE, P., AISUENI, F., ABUNOMAH, O. and GOBINA, E. 2022. Knudsen number sensitivity to pressure drop in a nanoscale membrane. In Proceedings of the 2nd International congress on scientific advances 2022 (ICONSAD'22), 21-24 December 2022, [virtual conference]. Turkey: ICONSAD [online], pages 276-281. Available from: https://en.iconsad.org/_files/ugd/1dd905_c45aeddf416d497e93113f00f465739b.pdf

According to the kinetic theory of gases, gas molecules are in constant random motion and frequently collide with one another and with the walls of their container. They continuously experience changes in velocity and direction. Between collisions, m... Read More about Knudsen number sensitivity to pressure drop in a nanoscale membrane..

Gas diffusion, transport characteristics and modelling in porous membrane systems with application for polymer electrolyte membrane fuel cells. (2022)
Conference Proceeding
AISUENI, F., RAMALAN, M., ABUNUMAH, O., OGUNLUDE, P., ORAKWE, I., OGOUN, E., GIWA, A., SHEHU, H. and GOBINA, E. 2022. Gas diffusion, transport characteristics and modelling in porous membrane systems with application for polymer electrolyte membrane fuel cells. In Proceedings of the 2nd International congress on scientific advances 2022 (ICONSAD'22), 21-24 December 2022, [virtual conference]. Turkey: ICONSAD [online], pages 144-157. Available from: https://en.iconsad.org/_files/ugd/1dd905_c45aeddf416d497e93113f00f465739b.pdf

Fuel cells convert chemical energy in electrical energy and heat by consuming typically hydrogen and oxygen and producing water as the main by-product. This is achieved by reducing hydrogen at the anode (left hand side) and oxidising oxygen at the ca... Read More about Gas diffusion, transport characteristics and modelling in porous membrane systems with application for polymer electrolyte membrane fuel cells..

Ensemble learning based on classifier prediction confidence and comprehensive learning particle swarm optimisation for medical image segmentation. (2022)
Conference Proceeding
DANG, T., NGUYEN, T.T., MCCALL, J. and LIEW, A.W.-C. 2022. Ensemble learning based on classifier prediction confidence and comprehensive learning particle swarm optimisation for medical image segmentation. In Ishibuchi, H., Kwoh, C.-K., Tan, A.-H., Srinivasan, D., Miao, C., Trivedi, A. and Crockett, K. (eds.) Proceedings of the 2022 IEEE Symposium series on computational intelligence (SSCI 2022), 4-7 December 2022, Singapore. Piscataway: IEEE [online], pages 269-276. Available from: https://doi.org/10.1109/SSCI51031.2022.10022114

Segmentation, a process of partitioning an image into multiple segments to locate objects and boundaries, is considered one of the most essential medical imaging process. In recent years, Deep Neural Networks (DNN) have achieved many notable successe... Read More about Ensemble learning based on classifier prediction confidence and comprehensive learning particle swarm optimisation for medical image segmentation..

Job assignment problem and traveling salesman problem: a linked optimisation problem. (2022)
Conference Proceeding
OGUNSEMI, A., MCCALL, J., KERN, M., LACROIX, B., CORSAR, D. and OWUSU, G. 2022. Job assignment problem and traveling salesman problem: a linked optimisation problem. In Bramer, M. and Stahl, F (eds.) Artificial intelligence XXXIX: proceedings of the 42nd SGAI (Specialist Group on Artificial Intelligence) Artificial intelligence international conference 2022 (AI 2022), 13-15 December 2022, Cambridge, UK. Lecture notes in computer science (LNCS), 13652. Cham: Springer [online], pages 19-33. Available from: https://doi.org/10.1007/978-3-031-21441-7_2

Linked decision-making in service management systems has attracted strong adoption of optimisation algorithms. However, most of these algorithms do not incorporate the complexity associated with interacting decision-making systems. This paper, theref... Read More about Job assignment problem and traveling salesman problem: a linked optimisation problem..

A robust exploration strategy in reinforcement learning based on temporal difference error. (2022)
Conference Proceeding
HAJAR, M.S., KALUTARAGE, H. and AL-KADRI, M.O. 2022. A robust exploration strategy in reinforcement learning based on temporal difference error. In Aziz, H., Corrêa, D. and French, T. (eds.) AI 2022: advances in artificial intelligence; proceedings of the 35th Australasian joint conference 2022 (AI 2022), 5-8 December 2022, Perth, Australia. Lecture notes in computer science (LNCS), 13728. Cham: Springer [online], pages 789-799. Available from: https://doi.org/10.1007/978-3-031-22695-3_55

Exploration is a critical component in reinforcement learning algorithms. Exploration exploitation trade-off is still a fundamental dilemma in reinforcement learning. The learning agent needs to learn how to deal with a stochastic environment in orde... Read More about A robust exploration strategy in reinforcement learning based on temporal difference error..