Human-in-the-loop machine learning: a state of the art

E Mosqueira-Rey, E Hernández-Pereira… - Artificial Intelligence …, 2023 - Springer
Researchers are defining new types of interactions between humans and machine learning
algorithms generically called human-in-the-loop machine learning. Depending on who is in …

A survey of visual analytics techniques for machine learning

J Yuan, C Chen, W Yang, M Liu, J **a, 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 …

Word cloud explorer: Text analytics based on word clouds

F Heimerl, S Lohmann, S Lange… - 2014 47th Hawaii …, 2014 - ieeexplore.ieee.org
Word clouds have emerged as a straightforward and visually appealing visualization
method for text. They are used in various contexts as a means to provide an overview by …

[HTML][HTML] Towards better analysis of machine learning models: A visual analytics perspective

S Liu, X Wang, M Liu, J Zhu - Visual Informatics, 2017 - Elsevier
Interactive model analysis, the process of understanding, diagnosing, and refining a
machine learning model with the help of interactive visualization, is very important for users …

Retainvis: Visual analytics with interpretable and interactive recurrent neural networks on electronic medical records

BC Kwon, MJ Choi, JT Kim, E Choi… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
We have recently seen many successful applications of recurrent neural networks (RNNs)
on electronic medical records (EMRs), which contain histories of patients' diagnoses …

A survey on information visualization: recent advances and challenges

S Liu, W Cui, Y Wu, M Liu - The Visual Computer, 2014 - Springer
Abstract Information visualization (InfoVis), the study of transforming data, information, and
knowledge into interactive visual representations, is very important to users because it …

Twenty years of machine-learning-based text classification: A systematic review

A Palanivinayagam, CZ El-Bayeh, R Damaševičius - Algorithms, 2023 - mdpi.com
Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

Squares: Supporting interactive performance analysis for multiclass classifiers

D Ren, S Amershi, B Lee, J Suh… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Performance analysis is critical in applied machine learning because it influences the
models practitioners produce. Current performance analysis tools suffer from issues …

Comparing visual-interactive labeling with active learning: An experimental study

J Bernard, M Hutter, M Zeppelzauer… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Labeling data instances is an important task in machine learning and visual analytics. Both
fields provide a broad set of labeling strategies, whereby machine learning (and in particular …

A survey of human‐centered evaluations in human‐centered machine learning

F Sperrle, M El‐Assady, G Guo, R Borgo… - Computer Graphics …, 2021 - Wiley Online Library
Visual analytics systems integrate interactive visualizations and machine learning to enable
expert users to solve complex analysis tasks. Applications combine techniques from various …