Computer Supported Qualitative Research
New Trends in Qualitative Research (WCQR2021)
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Chapter and Conference Paper
Linked Data Quality Assessment: A Survey
Data is of high quality if it is fit for its intended use in operations, decision-making, and planning. There is a colossal amount of linked data available on the web. However, it is difficult to understand ho...
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Chapter and Conference Paper
A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence
One of the aim of Explainable Artificial Intelligence (XAI) is to equip data-driven, machine-learned models with a high degree of explainability for humans. Understanding and explaining the inferences of a mod...
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Book and Conference Proceedings
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Chapter and Conference Paper
A Novel Parabolic Model of Instructional Efficiency Grounded on Ideal Mental Workload and Performance
Instructional efficiency within education is a measurable concept and models have been proposed to assess it. The main assumption behind these models is that efficiency is the capacity to achieve established g...
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Book and Conference Proceedings
Human Mental Workload: Models and Applications
5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24–26, 2021, Proceedings
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Book and Conference Proceedings
Human Mental Workload: Models and Applications
4th International Symposium, H-WORKLOAD 2020, Granada, Spain, December 3–5, 2020, Proceedings
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Chapter and Conference Paper
Expressing Trust with Temporal Frequency of User Interaction in Online Communities
Reputation systems concern soft security dynamics in diverse areas. Trust dynamics in a reputation system should be stable and adaptable at the same time to serve the purpose. Many reputation mechanisms have b...
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Chapter and Conference Paper
Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions
The development of theory, frameworks and tools for Explainable AI (XAI) is a very active area of research these days, and articulating any kind of coherence on a vision and challenges is itself a challenge. A...
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Chapter and Conference Paper
Task Demand Transition Peak Point Effects on Mental Workload Measures Divergence
The capacity to assess and manage mental workload is becoming more and more relevant in the current work environments as it helps to prevent work related accidents and achieve better efficiency and productivit...
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Chapter and Conference Paper
Empowering Qualitative Research Methods in Education with Artificial Intelligence
Artificial Intelligence is one of the fastest growing disciplines, disrupting many sectors. Originally mainly for computer scientists and engineers, it has been expanding its horizons and empowering many other...
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Chapter and Conference Paper
Direct and Constructivist Instructional Design: A Comparison of Efficiency Using Mental Workload and Task Performance
Cognitive Load Theory is based upon the assumption that working memory can process only explicit and direct instructions. Therefore, it is believed that inquiries techniques, not employing explicit instruction...
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Chapter and Conference Paper
The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review
Cognitive Load Theory has been conceived for supporting instructional design through the use of the construct of cognitive load. This is believed to be built upon three types of load: intrinsic, extraneous and...
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Chapter and Conference Paper
An Evaluation of the Reliability, Validity and Sensitivity of Three Human Mental Workload Measures Under Different Instructional Conditions in Third-Level Education
Although Cognitive Load Theory (CLT) has been researched for many years, it has been criticised for its theoretical clarity and its methodological approach. A crucial issue is the measurement of three types of...
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Chapter and Conference Paper
Analysing the Impact of Machine Learning to Model Subjective Mental Workload: A Case Study in Third-Level Education
Mental workload measurement is a complex multidisciplinary research area that includes both the theoretical and practical development of models. These models are aimed at aggregating those factors, believed to...
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Chapter and Conference Paper
On the Mental Workload Assessment of Uplift Map** Representations in Linked Data
Self-reporting procedures have been largely employed in literature to measure the mental workload experienced by users when executing a specific task. This research proposes the adoption of these mental worklo...
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Article
Open AccessAutophagy inhibition improves the cytotoxic effects of receptor tyrosine kinase inhibitors
A growing field of evidence suggests the involvement of oncogenic receptor tyrosine kinases (RTKs) in cell transformation. Deregulated activity of RTKs in tumors can determine disease progression and therapeut...
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Chapter and Conference Paper
An Investigation into the Effects of Multiple Kernel Combinations on Solutions Spaces in Support Vector Machines
The use of Multiple Kernel Learning (MKL) for Support Vector Machines (SVM) in Machine Learning tasks is a growing field of study. MKL kernels expand on traditional base kernels that are used to improve perfor...
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Chapter and Conference Paper
An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers
Research on the discovery, classification and validation of biological markers, or biomarkers, have grown extensively in the last decades. Newfound and correctly validated biomarkers have great potential as pr...
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Chapter and Conference Paper
A Comparative Study of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning for Elderly Survival Prediction Using Biomarkers
Computational argumentation has been gaining momentum as a solid theoretical research discipline for inference under uncertainty with incomplete and contradicting knowledge. However, its practical counterpart ...
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Book and Conference Proceedings
Human Mental Workload: Models and Applications
First International Symposium, H-WORKLOAD 2017, Dublin, Ireland, June 28-30, 2017, Revised Selected Papers
