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All Outputs (12)

Visualization of Interval Regression for Facilitating Data and Model Insight (2022)
Conference Proceeding
Kabir, S., & Wagner, C. (2022). Visualization of Interval Regression for Facilitating Data and Model Insight. . https://doi.org/10.1109/fuzz-ieee55066.2022.9882717

With growing significance of interval-valued data, interest in artificial intelligence methods tailored to this data type is similarly increasing across a range of application domains. Here, regression, i.e., the modelling of the association between... Read More about Visualization of Interval Regression for Facilitating Data and Model Insight.

A Performance Evaluation Approach for n-tier Cloud-Based Software Services (2022)
Conference Proceeding
Al-Said Ahmad, A., & Alzboon, G. (2022). A Performance Evaluation Approach for n-tier Cloud-Based Software Services. . https://doi.org/10.1145/3555962.3555968

Cloud computing and cloud testing are vast fields that have attracted significant attention recently. In addition, the need to find an approach for measuring cloud-based applications' effectiveness has also increased. In this work, we introduced an a... Read More about A Performance Evaluation Approach for n-tier Cloud-Based Software Services.

Connected Virtual Experiences for Small and Less Visible Museum Artefacts (2022)
Conference Proceeding
Rhodes, R., & Woolley, S. (2022). Connected Virtual Experiences for Small and Less Visible Museum Artefacts. . https://doi.org/10.14236/ewic/hci2022.60

This paper summarises a programme of research motivated by the challenge of achieving engaging 3D virtual experiences for small heritage artefacts, the sorts of artefacts that mare difficult to display and may be easily overlooked in museum settings.... Read More about Connected Virtual Experiences for Small and Less Visible Museum Artefacts.

A longitudinal case study on the effects of an evidence-based software engineering training (2022)
Conference Proceeding
Pizard, S., Vallespir, D., & Kitchenham, B. (2022). A longitudinal case study on the effects of an evidence-based software engineering training. . https://doi.org/10.1145/3510456.3514150

Context: Evidence-based software engineering (EBSE) can be an effective resource to bridge the gap between academia and industry by balancing research of practical relevance and academic rigor. To achieve this, it seems necessary to investigate EBSE... Read More about A longitudinal case study on the effects of an evidence-based software engineering training.

StructureNet: Deep Context Attention Learning for Structural Component Recognition (2022)
Conference Proceeding
Kaothalkar, A., Mandal, B., & Puhan, N. (2022). StructureNet: Deep Context Attention Learning for Structural Component Recognition. . https://doi.org/10.5220/0010872800003124

Structural component recognition using images is a very challenging task due to the appearance of large components and their long continuation, existing jointly with very small components, the latter are often outcasted/missed by the existing methodo... Read More about StructureNet: Deep Context Attention Learning for Structural Component Recognition.