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State of the art of visual analytics for explainable deep learning
The use and creation of machine‐learning‐based solutions to solve problems or reduce
their computational costs are becoming increasingly widespread in many domains. Deep …
their computational costs are becoming increasingly widespread in many domains. Deep …
The state of the art in enhancing trust in machine learning models with the use of visualizations
Abstract Machine learning (ML) models are nowadays used in complex applications in
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …
Visualizing high-dimensional data: Advances in the past decade
Massive simulations and arrays of sensing devices, in combination with increasing
computing resources, have generated large, complex, high-dimensional datasets used to …
computing resources, have generated large, complex, high-dimensional datasets used to …
Visualization of eye tracking data: A taxonomy and survey
This survey provides an introduction into eye tracking visualization with an overview of
existing techniques. Eye tracking is important for evaluating user behaviour. Analysing eye …
existing techniques. Eye tracking is important for evaluating user behaviour. Analysing eye …
Interactive visualization literacy: The state-of-the-art
With the advent of novel visualization techniques to convey complex information, data
visualization literacy is growing in importance. Two facets of literacy are user understanding …
visualization literacy is growing in importance. Two facets of literacy are user understanding …
[HTML][HTML] The future of General Movement Assessment: The role of computer vision and machine learning–A sco** review
Background The clinical and scientific value of Prechtl general movement assessment
(GMA) has been increasingly recognised, which has extended beyond the detection of …
(GMA) has been increasingly recognised, which has extended beyond the detection of …
Scalar field comparison with topological descriptors: Properties and applications for scientific visualization
In topological data analysis and visualization, topological descriptors such as persistence
diagrams, merge trees, contour trees, Reeb graphs, and Morse–Smale complexes play an …
diagrams, merge trees, contour trees, Reeb graphs, and Morse–Smale complexes play an …
Are we there yet? a roadmap of network visualization from surveys to task taxonomies
Networks are abstract and ubiquitous data structures, defined as a set of data points and
relationships between them. Network visualization provides meaningful representations of …
relationships between them. Network visualization provides meaningful representations of …
Visual analytics for machine learning: A data perspective survey
The past decade has witnessed a plethora of works that leverage the power of visualization
(VIS) to interpret machine learning (ML) models. The corresponding research topic, VIS4ML …
(VIS) to interpret machine learning (ML) models. The corresponding research topic, VIS4ML …
Bridging text visualization and mining: A task-driven survey
Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …
academic research and the commercial world. To provide an overview of the relevant …