The state of the art in enhancing trust in machine learning models with the use of visualizations

A Chatzimparmpas, RM Martins, I Jusufi… - Computer Graphics …, 2020 - Wiley Online Library
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 …

A survey of surveys on the use of visualization for interpreting machine learning models

A Chatzimparmpas, RM Martins… - Information …, 2020 - journals.sagepub.com
Research in machine learning has become very popular in recent years, with many types of
models proposed to comprehend and predict patterns and trends in data originating from …

Accountability in algorithmic decision making

N Diakopoulos - Communications of the ACM, 2016 - dl.acm.org
Accountability in algorithmic decision making Page 1 56 COMMUNICATIONS OF THE ACM |
FEBRUARY 2016 | VOL. 59 | NO. 2 practice DOI:10.1145/2844110 Article development led 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 …

Manifold: A model-agnostic framework for interpretation and diagnosis of machine learning models

J Zhang, Y Wang, P Molino, L Li… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Interpretation and diagnosis of machine learning models have gained renewed interest in
recent years with breakthroughs in new approaches. We present Manifold, a framework that …

Visualizing high-dimensional data: Advances in the past decade

S Liu, D Maljovec, B Wang, PT Bremer… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Massive simulations and arrays of sensing devices, in combination with increasing
computing resources, have generated large, complex, high-dimensional datasets used to …

Visualizing the hidden activity of artificial neural networks

PE Rauber, SG Fadel, AX Falcao… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
In machine learning, pattern classification assigns high-dimensional vectors (observations)
to classes based on generalization from examples. Artificial neural networks currently …

Approximated and user steerable tSNE for progressive visual analytics

N Pezzotti, BPF Lelieveldt… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Progressive Visual Analytics aims at improving the interactivity in existing analytics
techniques by means of visualization as well as interaction with intermediate results. One …

Integrating transparency, trust, and acceptance: The intelligent systems technology acceptance model (ISTAM)

ES Vorm, DJY Combs - International Journal of Human–Computer …, 2022 - Taylor & Francis
Intelligent systems such as technologies related to artificial intelligence, robotics, machine
learning, etc. open new insights into data and expand the concept of work in myriad …

Considerations for visualizing comparison

M Gleicher - IEEE transactions on visualization and computer …, 2017 - ieeexplore.ieee.org
Supporting comparison is a common and diverse challenge in visualization. Such support is
difficult to design because solutions must address both the specifics of their scenario as well …