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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.

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.

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.

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.

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.