Daniel A. Keim
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View article: Challenges and Opportunities for Visual Analytics in Jurisprudence
Challenges and Opportunities for Visual Analytics in Jurisprudence Open
Legal exploration, analysis, and interpretation remain complex and demanding tasks, even for experienced legal scholars, due to the domain-specific language, tacit legal concepts, and intentional ambiguities embedded in legal texts. In rel…
View article: Dissecting Atomic Facts: Visual Analytics for Improving Fact Annotations in Language Model Evaluation
Dissecting Atomic Facts: Visual Analytics for Improving Fact Annotations in Language Model Evaluation Open
Factuality evaluation of large language model (LLM) outputs requires decomposing text into discrete "atomic" facts. However, existing definitions of atomicity are underspecified, with empirical results showing high disagreement among annot…
View article: DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy
DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy Open
Recently, autoencoders (AEs) have gained interest for creating parametric and invertible projections of multidimensional data. Parametric projections make it possible to embed new, unseen samples without recalculating the entire projection…
View article: Motif Simplification for BioFabric Network Visualizations: Improving Pattern Recognition and Interpretation
Motif Simplification for BioFabric Network Visualizations: Improving Pattern Recognition and Interpretation Open
Detecting and interpreting common patterns in relational data is crucial for understanding complex topological structures across various domains. These patterns, or network motifs, can often be detected algorithmically. However, visual ins…
View article: Dynamic Sub-region Search in Homogeneous Collections Using CLIP
Dynamic Sub-region Search in Homogeneous Collections Using CLIP Open
Querying with text-image-based search engines in highly homogeneous domain-specific image collections is challenging for users, as they often struggle to provide descriptive text queries. For example, in an underwater domain, users can usu…
View article: Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP
Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP Open
Advances in multimodal text-image models have enabled effective text-based querying in extensive image collections. While these models show convincing performance for everyday life scenes, querying in highly homogeneous, specialized domain…
View article: Visually Assessing 1‐D Orderings of Contiguous Spatial Polygons
Visually Assessing 1‐D Orderings of Contiguous Spatial Polygons Open
One‐dimensional orderings of spatial entities have been researched in many contexts, e.g. spatial indexing structures or visualizations for spatiotemporal trend analysis. While plenty of studies have been conducted to evaluate orderings of…
View article: A Multimedia Analytics Model for the Foundation Model Era
A Multimedia Analytics Model for the Foundation Model Era Open
The rapid advances in Foundation Models and agentic Artificial Intelligence are transforming multimedia analytics by enabling richer, more sophisticated interactions between humans and analytical systems. Existing conceptual models for vis…
View article: Visual Network Analysis in Immersive Environments: A Survey
Visual Network Analysis in Immersive Environments: A Survey Open
The increasing complexity and volume of network data demand effective analysis approaches, with visual exploration proving particularly beneficial. Immersive technologies, such as augmented reality, virtual reality, and large display walls…
View article: Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings
Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings Open
The visual analysis of graphs in 3D has become increasingly popular, accelerated by the rise of immersive technology, such as augmented and virtual reality. Unlike 2D drawings, 3D graph layouts are highly viewpoint-dependent, making perspe…
View article: Evaluating Autoencoders for Parametric and Invertible Multidimensional Projections
Evaluating Autoencoders for Parametric and Invertible Multidimensional Projections Open
Recently, neural networks have gained attention for creating parametric and invertible multidimensional data projections. Parametric projections allow for embedding previously unseen data without recomputing the projection as a whole, whil…
View article: Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews
Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews Open
Systematic literature reviews (SLRs) are essential but labor-intensive due to high publication volumes and inefficient keywordbased filtering. To streamline this process, we evaluate Large Language Models (LLMs) for enhancing efficiency an…
View article: Leveraging Color Channel Independence for Improved Unsupervised Object Detection
Leveraging Color Channel Independence for Improved Unsupervised Object Detection Open
Object-centric architectures can learn to extract distinct object representations from visual scenes, enabling downstream applications on the object level. Similarly to autoencoder-based image models, object-centric approaches have been tr…
View article: Challenges and Opportunities for Visual Analytics in Jurisprudence
Challenges and Opportunities for Visual Analytics in Jurisprudence Open
Legal exploration, analysis, and interpretation remain complex and demanding tasks, even for experienced legal scholars, due to the domain-specific language, tacit legal concepts, and intentional ambiguities embedded in legal texts. In rel…
View article: Quality Metrics and Reordering Strategies for Revealing Patterns in BioFabric Visualizations
Quality Metrics and Reordering Strategies for Revealing Patterns in BioFabric Visualizations Open
Visualizing relational data is crucial for understanding complex connections between entities in social networks, political affiliations, or biological interactions. Well-known representations like node-link diagrams and adjacency matrices…
View article: Quality Metrics and Reordering Strategies for Revealing Patterns in BioFabric Visualizations
Quality Metrics and Reordering Strategies for Revealing Patterns in BioFabric Visualizations Open
Visualizing relational data is crucial for understanding complex connections between entities in social networks, political affiliations, or biological interactions. Well-known representations like node-link diagrams and adjacency matrices…
View article: An Analysis of the Interplay and Mutual Benefits of Grounded Theory and Visualization
An Analysis of the Interplay and Mutual Benefits of Grounded Theory and Visualization Open
Grounded theory (GT) is a research methodology that entails a systematic workflow for theory generation grounded on emergent data. In this article, we juxtapose GT workflows with typical workflows in visualization and visual analytics (VIS…
View article: AI‐smartphone markerless motion capturing of hip, knee, and ankle joint kinematics during countermovement jumps
AI‐smartphone markerless motion capturing of hip, knee, and ankle joint kinematics during countermovement jumps Open
Recently, AI‐driven skeleton reconstruction tools that use multistage computer vision pipelines were designed to estimate 3D kinematics from 2D video sequences. In the present study, we validated a novel markerless, smartphone video‐based …
View article: Interactive dense pixel visualizations for time series and model attribution explanations
Interactive dense pixel visualizations for time series and model attribution explanations Open
The field of Explainable Artificial Intelligence (XAI) for Deep Neural Network models has developed significantly, offering numerous techniques to extract explanations from models. However, evaluating explanations is often not trivial, and…
View article: Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series Open
Understanding how models process and interpret time series data remains a significant challenge in deep learning to enable applicability in safety-critical areas such as healthcare. In this paper, we introduce Sequence Dreaming, a techniqu…
View article: Interactive Counterfactual Generation for Univariate Time Series
Interactive Counterfactual Generation for Univariate Time Series Open
We propose an interactive methodology for generating counterfactual explanations for univariate time series data in classification tasks by leveraging 2D projections and decision boundary maps to tackle interpretability challenges. Our app…
View article: Interactive Public Transport Infrastructure Analysis through Mobility Profiles: Making the Mobility Transition Transparent
Interactive Public Transport Infrastructure Analysis through Mobility Profiles: Making the Mobility Transition Transparent Open
Efficient public transport systems are crucial for sustainable urban development as cities face increasing mobility demands. Yet, many public transport networks struggle to meet diverse user needs due to historical development, urban const…
View article: MelodyVis: Visual Analytics for Melodic Patterns in Sheet Music
MelodyVis: Visual Analytics for Melodic Patterns in Sheet Music Open
Manual melody detection is a tedious task requiring high expertise level, while automatic detection is often not expressive or powerful enough. Thus, we present MelodyVis, a visual application designed in collaboration with musicology expe…
View article: Exploring the Design Space of BioFabric Visualization for Multivariate Network Analysis
Exploring the Design Space of BioFabric Visualization for Multivariate Network Analysis Open
The visual analysis of multivariate network data is a common yet difficult task in many domains. The major challenge is to visualize the network's topology and additional attributes for entities and their connections. Although node‐link di…
View article: Known-Item Search in Video: An Eye Tracking-Based Study
Known-Item Search in Video: An Eye Tracking-Based Study Open
Deep learning has revolutionized multimedia retrieval, yet effectively searching within large video collections remains a complex challenge. This paper focuses on the design and evaluation of known-item search systems, leveraging the stren…