A survey of visual analytics techniques for machine learning

J Yuan, C Chen, W Yang, M Liu, J Xia, S Liu - Computational Visual Media, 2021 - Springer
Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

A review of visualisations in agricultural decision support systems: An HCI perspective

F Gutiérrez, NN Htun, F Schlenz, A Kasimati… - … and Electronics in …, 2019 - Elsevier
Abstract Decision Support Systems (DSSs) are used in precision agriculture to provide
feedback to a variety of stakeholders, including farmers, advisers, researchers and …

Ensemblelens: Ensemble-based visual exploration of anomaly detection algorithms with multidimensional data

K Xu, M Xia, X Mu, Y Wang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
The results of anomaly detection are sensitive to the choice of detection algorithms as they
are specialized for different properties of data, especially for multidimensional data. Thus, it …

Visualizing simulation ensembles of extreme weather events

CVF de Souza, PCL Barcellos, L Crissaff, M Cataldi… - Computers & …, 2022 - Elsevier
In the last 20 years, extreme weather-related events like floods, landslides, droughts, and
wildfires have caused the death of 1.23 million people and a loss of 2.97 trillion dollars …

[HTML][HTML] A survey on visual analysis of ocean data

C Xie, M Li, H Wang, J Dong - Visual Informatics, 2019 - Elsevier
A major challenge in analysis of huge amounts of ocean data is the complexity of the data
and the inherent complexity of ocean dynamic processes. Interactive visual analysis serves …

The state of the art in visual analysis approaches for ocean and atmospheric datasets

S Afzal, MM Hittawe, S Ghani, T Jamil… - Computer graphics …, 2019 - Wiley Online Library
The analysis of ocean and atmospheric datasets offers a unique set of challenges to
scientists working in different application areas. These challenges include dealing with …

Exploring variability within ensembles of decadal climate predictions

CP Kappe, M Böttinger, H Leitte - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Ensemble simulations are used in climate research to account for natural variability. For
medium-term decadal predictions, each simulation run is initialized with real observations …

Covid-19 ensemblevis: Visual analysis of county-level ensemble forecast models

S Srabanti, GE Marai, F Miranda - 2021 IEEE Workshop on …, 2021 - ieeexplore.ieee.org
The spread of the SARS-Co V-2 virus and its contagious disease COVID-19 has impacted
countries to an extent not seen since the 1918 flu pandemic. In the absence of an effective …

Hornero: Thunderstorms characterization using visual analytics

A Diehl, R Pelorosso, J Ruiz, R Pajarola… - Computer Graphics …, 2021 - Wiley Online Library
Analyzing the evolution of thunderstorms is critical in determining the potential for the
development of severe weather events. Existing visualization systems for short‐term …

Evaluation of cyber defense exercises using visual analytics process

R Ošlejšek, J Vykopal, K Burská… - 2018 IEEE Frontiers in …, 2018 - ieeexplore.ieee.org
This Innovative Practice Full Paper addresses modern cyber ranges which represent unified
platforms that offer efficient organization of complex hands-on exercises where participants …