Skip to main content

Research Repository

Advanced Search

All Outputs (302)

NLP-based approach to detect autism spectrum disorder in saccadic eye movement (2020)
Conference Proceeding
Elbattah, M., Guerin, J. L., Carette, R., Cilia, F., & Dequen, G. (2020). NLP-based approach to detect autism spectrum disorder in saccadic eye movement. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (1581-1587). https://doi.org/10.1109/ssci47803.2020.9308238

Autism Spectrum Disorder (ASD) is a lifelong condition generally characterized by social and communication impairments. The early diagnosis of ASD is highly desirable, yet it could be complicated by several factors. Standard tests typically require i... Read More about NLP-based approach to detect autism spectrum disorder in saccadic eye movement.

Heatmaps for visual explainability of CNN-based predictions for multivariate time series with application to healthcare (2020)
Conference Proceeding
Viton, F., Elbattah, M., Guerin, J. L., & Dequen, G. (2020). Heatmaps for visual explainability of CNN-based predictions for multivariate time series with application to healthcare. In 2020 IEEE International Conference on Healthcare Informatics (ICHI)https://doi.org/10.1109/ICHI48887.2020.9374393

The need for explainable AI is becoming increasingly important for critical decision domains such as healthcare for example. In this context, this paper is concerned with explaining the predictions of Convolutional Neural Networks (CNNs) with particu... Read More about Heatmaps for visual explainability of CNN-based predictions for multivariate time series with application to healthcare.

Proposing a hybrid RPL protocol for rank and wormhole attack mitigation using machine learning (2020)
Conference Proceeding
Zahra, F., Jhanjhi, N. Z., Brohi, S., Malik, N. A., & Humayun, M. (2020). Proposing a hybrid RPL protocol for rank and wormhole attack mitigation using machine learning. In 2020 2nd International Conference on Computer and Information Sciences (ICCIS). https://doi.org/10.1109/ICCIS49240.2020.9257607

Internet of Things have profoundly transformed the way technology is deployed today in different domains of life. However, its widescale implementation has also caused major security concerns in context of data communication because of escalating int... Read More about Proposing a hybrid RPL protocol for rank and wormhole attack mitigation using machine learning.

Was that me?: Exploring the effects of error in gestural digital musical instruments (2020)
Conference Proceeding
Brown, D., Nash, C., & Mitchell, T. J. (2020). Was that me?: Exploring the effects of error in gestural digital musical instruments. In AM '20: Proceedings of the 15th International Conference on Audio Mostly (168-174). https://doi.org/10.1145/3411109.3411137

Traditional Western musical instruments have evolved to be robust and predictable, responding consistently to the same player actions with the same musical response. Consequently, errors occurring in a performance scenario are typically attributed to... Read More about Was that me?: Exploring the effects of error in gestural digital musical instruments.

Towards molecular musical instruments: Interactive sonifications of 17-alanine, graphene and carbon nanotubes (2020)
Conference Proceeding
Mitchell, T. J., Jones, A. J., O’Connor, M. B., Wonnacott, M. D., Glowacki, D. R., & Hyde, J. (2020). Towards molecular musical instruments: Interactive sonifications of 17-alanine, graphene and carbon nanotubes. In AM '20: Proceedings of the 15th International Conference on Audio Mostly (214-221). https://doi.org/10.1145/3411109.3411143

Scientists increasingly rely on computational models of atoms and molecules to observe, understand and make predictions about the microscopic world. Atoms and molecules are in constant motion, with vibrations and structural fluctuations occurring at... Read More about Towards molecular musical instruments: Interactive sonifications of 17-alanine, graphene and carbon nanotubes.

PlayShell: A low-cost, fun audio experience for heritage centres (2020)
Conference Proceeding
Goddard, P., & Gaster, B. R. (2020). PlayShell: A low-cost, fun audio experience for heritage centres. In Proceedings of the 15th International Conference on Audio Mostly (237-240). https://doi.org/10.1145/3411109.3411132

Various barriers prevent blind and visually impaired people accessing the rich multisensory experiences available at heritage centres. These barriers include large bodies of text and items in glass cases, which are difficult to see. Feedback from the... Read More about PlayShell: A low-cost, fun audio experience for heritage centres.

Exploring polyrhythms, polymeters, and polytempi with the universal grid sequencer framework (2020)
Conference Proceeding
Hunt, S. J. (2020). Exploring polyrhythms, polymeters, and polytempi with the universal grid sequencer framework. . https://doi.org/10.1145/3411109.3411122

© 2020 ACM. Polyrhythms, Polymeters, and Polytempo are compositional techniques that describe pulses which are desynchronous between two or more sequences of music. Digital systems permit the sequencing of notes to a near-infinite degree of resolutio... Read More about Exploring polyrhythms, polymeters, and polytempi with the universal grid sequencer framework.

Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification (2020)
Conference Proceeding
Jeawak, S. S., Espinosa-Anke, L., & Schockaert, S. (2020). Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification. In Proceedings of the Fourteenth Workshop on Semantic Evaluation (361-366)

We describe the system submitted to SemEval-2020 Task 6, Subtask 1. The aim of this subtask is to predict whether a given sentence contains a definition or not. Unsurprisingly, we found that strong results can be achieved by fine-tuning a pre-trained... Read More about Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification.

Crowd-driven music: Interactive and generative approaches using machine vision and Manhattan (2020)
Conference Proceeding
Nash, C. (2020). Crowd-driven music: Interactive and generative approaches using machine vision and Manhattan. In F. Schroeder, & R. Michon (Eds.), Proceedings of the International Conference on New Interfaces for Musical Expression (259-264)

This paper details technologies and artistic approaches to crowd-driven music, discussed in the context of a live public installation in which activity in a public space (e.g. a busy railway platform) is used to drive the automated composition and pe... Read More about Crowd-driven music: Interactive and generative approaches using machine vision and Manhattan.

To allow, or deny? That is the question (2020)
Conference Proceeding
Andriotis, P., & Takasu, A. (2020). To allow, or deny? That is the question. In HCI for Cybersecurity, Privacy and Trust (287-304). https://doi.org/10.1007/978-3-030-50309-3_20

The Android ecosystem is dynamic and diverse. Controls have been set in place to allow mobile device users to regulate exchanged data and restrict apps from accessing sensitive personal information and system resources. Modern versions of the operati... Read More about To allow, or deny? That is the question.

The United Nations Sustainable Development Goals in Systems Engineering: Eliciting sustainability requirements (2020)
Conference Proceeding
Brooks, I. (2020). The United Nations Sustainable Development Goals in Systems Engineering: Eliciting sustainability requirements. In ICT4S2020: Proceedings of the 7th International Conference on ICT for Sustainability (196-199). https://doi.org/10.1145/3401335.3401359

This paper discusses a PhD research project testing the hypothesis that using the United Nations Sustainable Development Goals (SDG) [18] as explicit inputs to drive the Software Requirements Engineering process will result in requirements with impro... Read More about The United Nations Sustainable Development Goals in Systems Engineering: Eliciting sustainability requirements.

Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases (2020)
Conference Proceeding
Durgut, R., Baydilli, Y. Y., & Aydin, M. E. (2020). Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases. In Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference (338-351). https://doi.org/10.1007/978-3-030-48791-1_26

Parkinson’s is a brain disease that affects the quality of human life significantly with very slow progresses. It is known that early diagnosis is of great importance to arrange relevant and efficient treatments. Data analytics and particularly predi... Read More about Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases.

Automated screening of patients for dietician referral (2020)
Conference Proceeding
Soomro, K., & Pimenidis, E. (2020). Automated screening of patients for dietician referral. In L. Iliadis, P. Angelov, C. Jayne, & E. Pimenidis (Eds.), Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. https://doi.org/10.1007/978-3-030-48791-1_24

Critical Care Units (CCU) in a hospital treat the severely sick patients that need constant monitoring and close medical attention. Feeding patients, enteral feeding in particular, is a critical and continuous process. Monitoring patients, managing t... Read More about Automated screening of patients for dietician referral.

Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment (2020)
Conference Proceeding
Hunt, S. J., Mitchell, T. J., & Nash, C. (2020). Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment.

Computer composed music remains a novel and challenging problem to solve. Despite an abundance of techniques and systems little research has explored how these might be useful for end-users looking to compose with generative and algorithmic music tec... Read More about Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment.

Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector (2020)
Conference Proceeding
Mahmood, T., & Munir, K. (2020). Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector. . https://doi.org/10.5220/0009325201690176

Telecom sector has always been working hard to improve network quality to satisfy end user services. Fixing telecom network errors (hardware and software) precisely and quickly is a main factor to improve quality of services. Telecom operators are sp... Read More about Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector.

Social network influence ranking via embedding network interactions for user recommendation (2020)
Conference Proceeding
Bo, H., McConville, R., Hong, J., & Liu, W. (2020). Social network influence ranking via embedding network interactions for user recommendation. In WWW '20: Companion Proceedings of the Web Conference 2020 (379-384). https://doi.org/10.1145/3366424.3383299

Within social networks user influence may be modelled based on user interactions. Further, it is typical to recommend users to others. What is the role of user influence in user recommendation In this paper, we first propose to use a node embedding a... Read More about Social network influence ranking via embedding network interactions for user recommendation.

The effect of virtual reality control of a robotic surrogate on presence and social presence in comparison to telecommunications software (2020)
Conference Proceeding
Mackey, B. A., Bremner, P. A., & Giuliani, M. (2020). The effect of virtual reality control of a robotic surrogate on presence and social presence in comparison to telecommunications software. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI '20 Companion) (349-351). https://doi.org/10.1145/3371382.3378268

Telecommunication software is often used to tackle social isolation in those with restricted mobility, but lacks high-level interactions found in face-to-face conversation. This study investigated the use of an immersive control system for a robotic... Read More about The effect of virtual reality control of a robotic surrogate on presence and social presence in comparison to telecommunications software.

An application of HRI in low-cost digital manufacturing (2020)
Conference Proceeding
De Silva, L., Hawkridge, G., Terrazas, G., Perez Hernandez, M., Thorne, A., McFarlane, D., & Tlegenov, Y. (2020). An application of HRI in low-cost digital manufacturing. In HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (71). https://doi.org/10.1145/3371382.3378204

Digital Manufacturing (DM) broadly refers to applying digital information to enhance manufacturing processes, supply chains, products and services. In past work we proposed a low-cost DM architecture, supporting flexible integration of legacy robots.... Read More about An application of HRI in low-cost digital manufacturing.