Uncharted Research
Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery

Kovalerchuk, B., K. Nazemi, R. Andonie, N. Datia, and E. Banissi (Eds.), Springer Nature, June 2022

Visual Analytics of Hierarchical and Network Timeseries Models

Jonker, D., R. Brath, and S. Langevin

Dual Y Axes Charts Defended: Case Studies, Domain Analysis and a Method

Brath, R., C. Hagerman, and E. Sorenson

VisIRML: Visualization with an Interactive Information Retrieval and Machine Learning Classifier

Hagerman, C., R. Brath, and S. Langevin

Uncharted contributed the following chapters to Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery:

Visual Analytics of Hierarchical and Network Timeseries Models: Visual analytics that represent many aspects of timeseries models in one holistic application are perceptually scalable to exploration of millions of nodes.

Dual Y Axes Charts Defended: Case Studies, Domain Analysis and a Method: We show dual axes charts are necessary for fine-grained correlation analysis that is not made obvious within single axis charts or other means.

VisIRML: Visualization with an Interactive Information Retrieval and Machine Learning Classifier: VisIRML, a system to classify and display unstructured data, produces higher quality labels than semi-supervised learning techniques.

Buy on Amazon