Outputs (161)

The permeability variables of granular matter (2022)
Presentation / Conference Contribution
Imre, E., Illes, Z., Balint, A., Gonzales, H., Repassy, L., Quynh Huong, D. T., Lopez, L. L., Barreto, D., Guida, G., Datcheva, M., Baillie, W., & Singh, V. P. (2022, May). The permeability variables of granular matter. Presented at VIth International Symposium-2022 “Biosphere & Environmental Safety”, Obuda University, Hungary

No “unique” relation between soil parameters and grading curves of granular matter can be elaborated. In case some statistics are used (e.g., d10), then infinite many grading curves may be related to the same value of it. Moreover, several densities... Read More about The permeability variables of granular matter.

Sensitive Pictures: Emotional Interpretation in the Museum (2022)
Presentation / Conference Contribution
Benford, S. D., Sundnes Løvlie, A., Ryding, K., Rajkowska, P., Bodiaj, E., Paris Darzentas, D., Cameron, H., Spence, J., Egede, J., & Spanjevic, B. (2022, April). Sensitive Pictures: Emotional Interpretation in the Museum. Presented at CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA

Museums are interested in designing emotional visitor experiences to complement traditional interpretations. HCI is interested in the relationship between Affective Computing and Affective Interaction. We describe Sensitive Pictures, an emotional vis... Read More about Sensitive Pictures: Emotional Interpretation in the Museum.

Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition (2022)
Presentation / Conference Contribution
Yue, Z., Loweimi, E., Cvetkovic, Z., Christensen, H., & Barker, J. (2022, May). Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition. Presented at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore

Building automatic speech recognition (ASR) systems for speakers with dysarthria is a very challenging task. Although multi-modal ASR has received increasing attention recently, incorporating real articulatory data with acoustic features has not been... Read More about Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition.

Raw Source and Filter Modelling for Dysarthric Speech Recognition (2022)
Presentation / Conference Contribution
Yue, Z., Loweimi, E., & Cvetkovic, Z. (2022, May). Raw Source and Filter Modelling for Dysarthric Speech Recognition. Presented at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore

Acoustic modelling for automatic dysarthric speech recognition (ADSR) is a challenging task. Data deficiency is a major problem and substantial differences between the typical and dysarthric speech complicates transfer learning. In this paper, we bui... Read More about Raw Source and Filter Modelling for Dysarthric Speech Recognition.

A Study of Online Safety and Digital Literacy of Academic Researchers Working from Home during the COVID-19 Pandemic (2022)
Presentation / Conference Contribution
Haynes, D., & Salzano, R. (2022, April). A Study of Online Safety and Digital Literacy of Academic Researchers Working from Home during the COVID-19 Pandemic. Paper presented at ASIS&T Global 24-hour Conference, 2022, Online

Universities in the UK responded to the COVID-19 pandemic by moving teaching to an online environment and requiring staff to work from home, as far as possible. Researchers face particular challenges of security and privacy where their work involves... Read More about A Study of Online Safety and Digital Literacy of Academic Researchers Working from Home during the COVID-19 Pandemic.

Research In Times Of Crisis: Adaptations Of Research Due To The COVID-19 Pandemic (2022)
Presentation / Conference Contribution
Milosheva, M., & Salzano, R. (2022, April). Research In Times Of Crisis: Adaptations Of Research Due To The COVID-19 Pandemic. Paper presented at ASIST 24-Hour Global Conference, Online

During the COVID-19 global pandemic, many researchers have had to adapt, delay, or halt, their research completely. However, decisions related to adaptations, and the “hidden work” fundamental to such adaptations, often go unreported in research outp... Read More about Research In Times Of Crisis: Adaptations Of Research Due To The COVID-19 Pandemic.

A Participative Approach To Understanding The Hidden Curriculum (2022)
Presentation / Conference Contribution
Brazier, D., & Milosheva, M. (2022, April). A Participative Approach To Understanding The Hidden Curriculum. Paper presented at ASIST 24-Hour Global Conference, Online

Information needs are fundamental building blocks of the information behaviour and information retrieval literature. However, the concept of an “information need” is rarely discussed or defined, particularly in the context of everyday life informatio... Read More about A Participative Approach To Understanding The Hidden Curriculum.

Evaluation Of Inequalities Of Access In UK Online Digital Collections: A Systematic Review (2022)
Presentation / Conference Contribution
Brazier, D., Ryan, B., & Gooding, P. (2022, April). Evaluation Of Inequalities Of Access In UK Online Digital Collections: A Systematic Review. Paper presented at ASIST 24-Hour Global Conference, Online

This paper presents the results of a systematic literature review into how UK Cultural Heritage Institutions (CHIs) deal with issues of Equality, Diversity, and Inclusion (EDI). In recent years, researchers have addressed the fragmented nature of Cul... Read More about Evaluation Of Inequalities Of Access In UK Online Digital Collections: A Systematic Review.

Directed Undersampling Using Active Learning for Particle Identification (2022)
Presentation / Conference Contribution
Farou, Z., Ouaari, S., Domian, B., & Horváth, T. (2021, May). Directed Undersampling Using Active Learning for Particle Identification. Presented at 4th International Conference on Recent Innovations in Computing (ICRIC-2021), Central University of Jammu

Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers (2022)
Presentation / Conference Contribution
Cardoso, R. P., Hart, E., Burth Kurka, D., & Pitt, J. (2022, April). Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers. Presented at EvoSTAR, Madrid

Using Neuroevolution combined with Novelty Search to promote behavioural diversity is capable of constructing high-performing ensembles for classification. However, using gradient descent to train evolved architectures during the search can be comput... Read More about Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers.