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All Outputs (8)

Deep Learning based Emotion Classification with Temporal Pupillometry Sequences (2021)
Presentation / Conference
Kanwal. (2021, December). Deep Learning based Emotion Classification with Temporal Pupillometry Sequences. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

In the recent era, automatic systems are the necessity of science. Systems for recognizing human emotions have gained popularity in various areas of knowledge specifically psychologists and psycho-physiologists. The interaction of the human-computer... Read More about Deep Learning based Emotion Classification with Temporal Pupillometry Sequences.

Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset (2021)
Presentation / Conference
Kanwal. (2021, December). Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

Flight cancellations can be caused by many factors, including adverse weather conditions, and can result in lost money and time, etc. The COVID-19 pandemic has significantly exacerbated this situation, leading to a significant decrease in air travel.... Read More about Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset.

Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters (2021)
Presentation / Conference
Fan. (2021, December). Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters. Presented at NeurIPS 2020 Workshop Tackling Climate Change with Machine Learning

In this proposal paper we highlight the need for privacy preserving energy demand forecasting to allay a major concern consumers have about smart meter installations. High resolution smart meter data can expose many private aspects of a consumer's ho... Read More about Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters.

Using Card Sorting to Design Faceted Navigation Structures (2021)
Presentation / Conference
De Quincey, E., & Mitchell, J. (2021, July). Using Card Sorting to Design Faceted Navigation Structures. Presented at 34th British HCI Conference, London, UK

This paper describes how a variation of card sorting- ‘repeated single-criterion sorting’, can be applied to the information architecture design of digital music services. 52 respondents were asked to sort, using their own choice of criteria, 12 popu... Read More about Using Card Sorting to Design Faceted Navigation Structures.

Art for Computer Scientists: Processing as an Open-Source Art Medium for Computer Science Undergraduates (2021)
Presentation / Conference
(2021, July). Art for Computer Scientists: Processing as an Open-Source Art Medium for Computer Science Undergraduates. Presented at Electronic Visualisation & the Arts (EVA) 2021, London

Art undergraduates increasingly engage in the design and coding of digital media and generative art, for example, using the open-source Processing library and Integrated Development Environment (IDE) created for visual artists. An equivalent cross-ov... Read More about Art for Computer Scientists: Processing as an Open-Source Art Medium for Computer Science Undergraduates.

Quantifying Missingness in Wearable Heart Rate Recordings (2021)
Presentation / Conference
Collins, T., Woolley, S. I., Oniani, S., & Pandyan, A. (2021, May). Quantifying Missingness in Wearable Heart Rate Recordings. Presented at Medical Informatics Europe 2021, Virtual

Wrist-worn photoplethysmography (PPG) heart rate monitoring devices are increasingly used in clinical applications despite the potential for data missingness and inaccuracy. This paper provides an analysis of the intermittency of experimental wearabl... Read More about Quantifying Missingness in Wearable Heart Rate Recordings.