Browsing Machine Learning Methods in Visualisation for Big Data by Title
Now showing items 13-22 of 22
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Panning for Insight: Amplifying Insight through Tight Integration of Machine Learning, Data Mining, and Visualization
(The Eurographics Association, 2018)With the rapid progress made in Data Mining, Visualization, and Machine Learning during the last years, combinations of these methods have gained increasing interest. This paper summarizes ideas behind ongoing work on ... -
Progressive Multidimensional Projections: A Process Model based on Vector Quantization
(The Eurographics Association, 2020)As large datasets become more common, so becomes the necessity for exploratory approaches that allow iterative, trial-anderror analysis. Without such solutions, hypothesis testing and exploratory data analysis may become ... -
Revealing Multimodality in Ensemble Weather Prediction
(The Eurographics Association, 2021)Ensemble methods are widely used to simulate complex non-linear systems and to estimate forecast uncertainty. However, visualizing and analyzing ensemble data is challenging, in particular when multimodality arises, i.e., ... -
Saliency Clouds: Visual Analysis of Point Cloud-oriented Deep Neural Networks in DeepRL for Particle Physics
(The Eurographics Association, 2022)We develop and describe saliency clouds, that is, visualization methods employing explainable AI methods to analyze and interpret deep reinforcement learning (DeepRL) agents working on point cloud-based data. The agent in ... -
ViNNPruner: Visual Interactive Pruning for Deep Learning
(The Eurographics Association, 2022)Neural networks grow vastly in size to tackle more sophisticated tasks. In many cases, such large networks are not deployable on particular hardware and need to be reduced in size. Pruning techniques help to shrink deep ... -
Visual Analysis of Multivariate Urban Traffic Data Resorting to Local Principal Curves
(The Eurographics Association, 2019)Traffic congestion causes major economic, environmental and social problems in modern cities. We present an interactive visualization tool to assist domain experts on the identification and analysis of traffic patterns at ... -
Visual Analysis of the Impact of Neural Network Hyper-Parameters
(The Eurographics Association, 2020)We present an analysis of the impact of hyper-parameters for an ensemble of neural networks using tailored visualization techniques to understand the complicated relationship between hyper-parameters and model performance. ... -
Visual Ensemble Analysis to Study the Influence of Hyper-parameters on Training Deep Neural Networks
(The Eurographics Association, 2019)A good deep neural network design allows for efficient training and high accuracy. The training step requires a suitable choice of several hyper-parameters. Limited knowledge exists on how the hyper-parameters impact the ... -
Visual Exploration of Neural Network Projection Stability
(The Eurographics Association, 2022)We present a method to visually assess the stability of deep learned projections. For this, we perturb the high-dimensional data by controlled sequences and visualize the resulting changes in the 2D projection. We apply ... -
Visual Interpretation of DNN-based Acoustic Models using Deep Autoencoders
(The Eurographics Association, 2020)In the past few years, Deep Neural Networks (DNN) have become the state-of-the-art solution in several areas, including automatic speech recognition (ASR), unfortunately, they are generally viewed as black boxes. Recently, ...