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Use-case informed task analysis for secure and usable design solutions in rail. (2021)
Conference Proceeding
ALTAF, A., FAILY, S., DOGAN, H., MYLONAS, A. and THRON, E. 2021. Use-case informed task analysis for secure and usable design solutions in rail. In Percia, D.D., Mermoud, A. and Maillart, T. (eds.). Critical information infrastructures security: revised selected papers of 16th international conference on Critical information infrastructures security 2021 (CRITIS 2021), 27-29 September 2021, Lausanne, Switzerland. Lecture notes in computer science, 13139. Cham: Springer [online], pages 168-185. Available from: https://doi.org/10.1007/978-3-030-93200-8_10

Meeting secure and usable design goals needs the combined effort of safety, security and human factors experts. Human factors experts rely on a combination of cognitive and hierarchical task analysis techniques to support their work. We present an ap... Read More about Use-case informed task analysis for secure and usable design solutions in rail..

Teaching through a global pandemic: educational landscapes before, during and after COVID-19. (2021)
Conference Proceeding
SIEGEL, A.A., ZARB, M., ALSHAIGY, B., BLANCHARD, J., CRICK, T., GLASSEY, R., HOTT, J.R., LATULIPE, C., RIEDESEL, C., SENAPATHI, M., SIMON and WILLIAMS, D. 2021. Teaching through a global pandemic: educational landscapes before, during and after COVID-19. In ITiCSE-WGR '21: proceedings of the 26th ACM (Association for Computing Machinery) conference Working group reports on Innovation and technology in computer science education 2021, June 26 - July 1 2021, [virtual conference]. New York: ACM [online], pages 1-25. Available from: https://doi.org/10.1145/3502870.3506565

The coronavirus (COVID-19) pandemic has forced an unprecedented global shift within higher education in how instructors communicate with and educate students. This necessary paradigm shift has compelled educators to take a critical look at their teac... Read More about Teaching through a global pandemic: educational landscapes before, during and after COVID-19..

Streaming multi-layer ensemble selection using dynamic genetic algorithm. (2021)
Conference Proceeding
LUONG, A.V., NGUYEN, T.T. and LIEW, A.W.-C. 2021. Streaming multi-layer ensemble selection using dynamic genetic algorithm. In Zhou, J., Salvado, O., Sohel, F., Borges, P. and Wang, S. (eds.). Proceedings of 2021 Digital image computing: techniques and applications (DICTA 2021), 29 November - 1 December 2021, Gold Coast, Australia. Piscataway: IEEE [online], article 9647220. Available from: https://doi.org/10.1109/dicta52665.2021.9647220

In this study, we introduce a novel framework for non-stationary data stream classification problems by modifying the Genetic Algorithm to search for the optimal configuration of a streaming multi-layer ensemble. We aim to connect the two sub-fields... Read More about Streaming multi-layer ensemble selection using dynamic genetic algorithm..

DisCERN: discovering counterfactual explanations using relevance features from neighbourhoods. (2021)
Conference Proceeding
WIRATUNGA, N., WIJEKOON, A., NKISI-ORJI, I., MARTIN, K., PALIHAWADANA, C. and CORSAR, D. 2021. DisCERN: discovering counterfactual explanations using relevance features from neighbourhoods. In Proceedings of 33rd IEEE (Institute of Electrical and Electronics Engineers) International conference on tools with artificial intelligence 2021 (ICTAI 2021), 1-3 November 2021, Washington, USA [virtual conference]. Piscataway: IEEE [online], pages 1466-1473. Available from: https://doi.org/10.1109/ICTAI52525.2021.00233

Counterfactual explanations focus on 'actionable knowledge' to help end-users understand how a machine learning outcome could be changed to a more desirable outcome. For this purpose a counterfactual explainer needs to discover input dependencies tha... Read More about DisCERN: discovering counterfactual explanations using relevance features from neighbourhoods..

Towards explainable metaheuristics: PCA for trajectory mining in evolutionary algorithms. (2021)
Conference Proceeding
FYVIE, M., MCCALL, J.A.W. and CHRISTIE, L.A. 2021. Towards explainable metaheuristics: PCA for trajectory mining in evolutionary algorithms. In Bramer, M. and Ellis, R (eds.) Artificial intelligence XXXVIII: proceedings of 41st British Computer Society's Specialist Group on Artificial Intelligence (SGAI) Artificial intelligence international conference 2021 (AI-2021) (SGAI-AI 2021), 14-16 December 2021, [virtual conference]. Lecture notes in computer science, 13101. Cham: Springer [online], pages 89-102. Available from: https://doi.org/10.1007/978-3-030-91100-3_7

The generation of explanations regarding decisions made by population-based meta-heuristics is often a difficult task due to the nature of the mechanisms employed by these approaches. With the increase in use of these methods for optimisation in indu... Read More about Towards explainable metaheuristics: PCA for trajectory mining in evolutionary algorithms..

Non-fungible building components: using smart contracts for a circular economy in the built environment. (2021)
Conference Proceeding
DOUNAS, T., JABI, W. and LOMBARDI, D. 2021. Non-fungible building components: using smart contracts for a circular economy in the built environment. In Gomez Z., P. and Braida, F. (eds.) Proceedings of the 25th International conference of the Ibero-American Society of Digital Graphics (SIGraDi 20201): designing possibilities, 8-12 November 2021, [virtual conference]. Atlanta: Georgia Institute of Technology, pages 1189-1198. Hosted on CumInCAD [online]. To be made available from: http://cumincad.scix.net/

The presented research study tackles the topic of economic and material sustainable development in the built environment and construction industry, by introducing and applying the concept and the potential of Non-Fungible Tokens (NFTs) on blockchain... Read More about Non-fungible building components: using smart contracts for a circular economy in the built environment..

Autonomous CPSoS for cognitive large manufacturing industries. (2021)
Conference Proceeding
SANTOFIMIA, M.J., VILLANUEVA, F.J., CABA, J., FERNANDEZ-BERMEJO, J., DEL TORO, X., WIRATUNGA, N., TRAPERO, J.R., RUBIO, A., SALVADORI, C. and LOPEZ, J.C. 2021. Autonomous CPSoS for cognitive large manufacturing industries. In Proceedings of 47th Institute of Electrical and Electronics Engineers (IEEE) Industrial Electronics Society annual conference 2021 (IECON 2021), 13-16 October 2021, [virtual conference]. Piscataway: IEEE [online], article 9589159. Available from: https://doi.org/10.1109/IECON48115.2021.9589159

The general aim of a cognitive Cyber Physical System of Systems (CPSoS) is to provide managed access to data in a smart fashion such that sensing and actuation capabilities are connected. Whilst there is significant funding and research devoted to th... Read More about Autonomous CPSoS for cognitive large manufacturing industries..

Actionable feature discovery in counterfactuals using feature relevance explainers. (2021)
Conference Proceeding
WIRATUNGA, N., WIJEKOON, A., NKISI-ORJI, I., MARTIN, K., PALIHAWADANA, C. and CORSAR, D. 2021. Actionable feature discovery in counterfactuals using feature relevance explainers. In Borck, H., Eisenstadt, V., Sánchez-Ruiz, A. and Floyd, M. (eds.) ICCBR 2021 workshop proceedings (ICCBR-WS 2021): workshop proceedings for the 29th International conference on case-based reasoning co-located with the 29th International conference on case-case based reasoning (ICCBR 2021), 13-16 September 2021, Salamanca, Spain [virtual conference]. CEUR-WS proceedings, 3017. Aachen: CEUR-WS [online], pages 63-74. Available from: http://ceur-ws.org/Vol-3017/101.pdf

Counterfactual explanations focus on 'actionable knowledge' to help end-users understand how a Machine Learning model outcome could be changed to a more desirable outcome. For this purpose a counterfactual explainer needs to be able to reason with si... Read More about Actionable feature discovery in counterfactuals using feature relevance explainers..

Agents United: an open platform for multi-agent conversational systems. (2021)
Conference Proceeding
BEINEMA, T., DAVISON, D., REIDSMA, D. et al. 2021. Agents United: an open platform for multi-agent conversational systems. In Proceedings of 21st ACM (Association for Computing Machinery) Intelligent virtual agents international conference 2021 (IVA '21), 14-17 September 2021, [virtual conference]. New York: ACM [online], pages 17-24. Available from: https://doi.org/10.1145/3472306.3478352

The development of applications with intelligent virtual agents (IVA) often comes with integration of multiple complex components. In this article we present the Agents United Platform: an open source platform that researchers and developers can use... Read More about Agents United: an open platform for multi-agent conversational systems..

Chemical detection of explosives in soil for locating buried landmines. (2021)
Conference Proceeding
KARNIK, S. and PRABHU, R. 2021. Chemical detection of explosives in soil for locating buried landmines. In Bouma, H., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Proceedings of the 5th Counterterrorism, crime fighting, forensics, and surveillance technologies conference, part of the 2021 SPIE Security + defence conference, 13-17 September 2021, [virtual conference]. Proceedings of SPIE, 11869. Bellingham, WA: SPIE [online], article ID 118690A. Available from: https://doi.org/10.1117/12.2601741

Trinitrotoluene (TNT) is a highly explosive nitroaromatic compound that is used for military and terrorist activities such as the development of improvised explosive devices (IEDs), landmines and is the main charge or explosive in most of the anti-pe... Read More about Chemical detection of explosives in soil for locating buried landmines..

Integrated design framework for facilitating systems-theoretic process analysis. (2021)
Conference Proceeding
ALTAF, A., FAILY, S., DOGAN, H., THRON, E. and MYLONAS, A. [2022]. Integrated design framework for facilitating systems-theoretic process analysis. In Proceedings of the 7th Workshop on the security of industrial control systems and of cyber-physical systems (CyberICPS 2021), co-located with the 26th European symposium on research in computer security (ESORICS 2021), 4-8 October 2021, Darmstadt, Germany. Cham: Springer, (accepted).

Systems-Theoretic Process Analysis (STPA) helps mitigate identified safety hazards leading to unfortunate situations. Usually, a systematic step-by-step approach is followed by safety experts irrespective of any software based tool-support, but ident... Read More about Integrated design framework for facilitating systems-theoretic process analysis..

A case-based approach to data-to-text generation. (2021)
Conference Proceeding
UPADHYAY, A., MASSIE, S., SINGH, R.K., GUPTA, G. and OJHA, M. 2021. A case-based approach to data-to-text generation. In Sánchez-Ruiz, A.A. and Floyd, M.W. (eds.) Case-based reasoning research and development: proceedings of 29th International conference case-based reasoning 2021 (ICCBR 2021), 13-16 September 2021, Salamanca, Spain. Lecture notes in computer science (LNCS), 12877. Cham: Springer [online], pages 232-247. Available from: https://doi.org/10.1007/978-3-030-86957-1_16

Traditional Data-to-Text Generation (D2T) systems utilise carefully crafted domain specific rules and templates to generate high quality accurate texts. More recent approaches use neural systems to learn domain rules from the training data to produce... Read More about A case-based approach to data-to-text generation..

A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams. (2021)
Conference Proceeding
TORAL, L., MORENO-GARCIA, C.F., ELYAN, E. and MEMON, S. 2021. A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams. In Barney Smith, E.H. and Pal, U. (eds.) Document analysis and recognition: ICDAR 2021 workshops, part II: proceedings of 16th International conference on document analysis and recognition 2021 (ICDAR 2021), 5-10 September 2021, Lausanne, Switzerland. Lecture notes in computer science, 12917. Cham: Springer [online], pages 268-276. Available from: https://doi.org/10.1007/978-3-030-86159-9_18

Corrosion circuit mark up in engineering drawings is one of the most crucial tasks performed by engineers. This process is currently done manually, which can result in errors and misinterpretations depending on the person assigned for the task. In th... Read More about A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams..

Towards a declarative approach to constructing dialogue games. (2021)
Conference Proceeding
SNAITH, M. and WELLS, S. 2021. Towards a declarative approach to constructing dialogue games. In Grasso, F., Green, N.L., Schneider, J. and Wells, S. (eds.) 2021. 2021 Computational models of natural argument (CMNA 2021): proceedings of the 21st workshop on Computational models on natural argument, 2-3 September 2021, [virtual conference]. CEUR workshop proceedings, 2937. Aachen: CEUR-WS [online], pages 9-18. Available from: http://ceur-ws.org/Vol-2937/paper2.pdf

In this paper we sketch a new approach to the development of dialogue games that builds upon the knowledge gained from several decades of dialogue game research across a variety of communities and which leverages the capabilities of the Dialogue Game... Read More about Towards a declarative approach to constructing dialogue games..

Predicting multicomponent gas transport in hybrid inorganic membranes. (2021)
Conference Proceeding
GOBINA, E., SHEHU, H. and ORAKWE, I. 2021. Predicting multicomponent gas transport in hybrid inorganic membranes. In Proceedings of the ICANM 2021: 8th International conference and exhibition on advanced and nanomaterials 2021 (ICANM 2021), 9-11 August 2021, [virtual conference]. Ontario: ICANM, pages 47-56.

A repeated dip-coating technique has been used to prepare novel inorganic multilayered membranes. The membranes have been characterizated by Scanning Electron Microscopy (SEM) and nitrogen adsorption (ASAP 2010) respectively. The three-parameter mode... Read More about Predicting multicomponent gas transport in hybrid inorganic membranes..

The effect of pressure and porous media structural parameters coupling on gas apparent viscosity. (2021)
Conference Proceeding
ABUNUMAH, O., OGUNLUDE, P. and GOBINA, E. 2021. The effect of pressure and porous media structural parameters coupling on gas apparent viscosity. In Proceedings of the ICANM 2021: 8th International conference and exhibition on advanced and nanomaterials 2021 (ICANM 2021), 9-11 August 2021, [virtual conference]. Ontario: ICANM, pages 42-46.

Crude oil production is still considered a significant contributor to global energy security. To improve oil production, gases such as CH4, N2, Air and CO2 are injected into oil reservoirs in a process called gas Enhanced Oil Recovery (EOR). Authors... Read More about The effect of pressure and porous media structural parameters coupling on gas apparent viscosity..

A study of biogas upgrading to bio-methane with carbon dioxide capture using ceramic membranes. (2021)
Conference Proceeding
OGUNLUDE, P., ABUNUMAH, O., MOHAMMAD-SUKKI, F. and GOBINA, E. 2021. A study of biogas upgrading to bio-methane with carbon dioxide capture using ceramic membranes. In Proceedings of the ICANM 2021: 8th International conference and exhibition on advanced and nanomaterials 2021 (ICANM 2021), 9-11 August 2021, [virtual conference]. Ontario: IAEMM, pages 27-33.

Greenhouse gas emissions (GHGs) and their effects have been a matter of global concern over the past decade. With growing energy demands to support developing economies, there has been a challenge of harnessing and utilizing sustainable forms of ener... Read More about A study of biogas upgrading to bio-methane with carbon dioxide capture using ceramic membranes..

Characterization and evaluation of nanoparticles ceramic membrane for the separation of oil-in-water emulsion. (2021)
Conference Proceeding
AISUENI, F.A., OGUON, E., HASHIM, I. and GOBINA, E. 2021. Characterization and evaluation of nanoparticles ceramic membrane for the separation of oil-in-water emulsion. In Proceedings of the ICANM 2021: 8th International conference and exhibition on advanced and nanomaterials 2021 (ICANM 2021), 9-11 August 2021, [virtual conference]. Ontario: ICANM, pages 17-26.

The mixture of oil with water from industrial activities creates an emulsion which is now termed as Oil-in-Water (O/W) emulsion. Several chemical and physical methods have been successfully used for the separation of O/W emulsions; however, the trace... Read More about Characterization and evaluation of nanoparticles ceramic membrane for the separation of oil-in-water emulsion..

Deep recurrent neural networks with attention mechanisms for respiratory anomaly classification. (2021)
Conference Proceeding
WALL, C., ZHANG, L., YU, Y. and MISTRY, K. 2021. Deep recurrent neural networks with attention mechanisms for respiratory anomaly classification. In Proceedings of 2021 International joint conference on neural networks (IJCNN 2021), 18-22 July 2021, [virtual conference]. Piscataway: IEEE [online], article 9533966. Available from: https://doi.org/10.1109/IJCNN52387.2021.9533966

In recent years, a variety of deep learning techniques and methods have been adopted to provide AI solutions to issues within the medical field, with one specific area being audio-based classification of medical datasets. This research aims to create... Read More about Deep recurrent neural networks with attention mechanisms for respiratory anomaly classification..

Class-decomposition and augmentation for imbalanced data sentiment analysis. (2021)
Conference Proceeding
MORENO-GARCIA, C.F., JAYNE, C. and ELYAN, E. 2021. Class-decomposition and augmentation for imbalanced data sentiment analysis. In Proceedings of 2021 International joint conference on neural networks (IJCNN 2021), 18-22 July 2021, [virtual conference]. Piscataway: IEEE [online], article 9533603. Available from: https://doi.org/10.1109/IJCNN52387.2021.9533603

Significant progress has been made in the area of text classification and natural language processing. However, like many other datasets from across different domains, text-based datasets may suffer from class-imbalance. This problem leads to model's... Read More about Class-decomposition and augmentation for imbalanced data sentiment analysis..