Publications

Visualization has been deemed a useful technique by researchers and practitioners, alike, leaving a trail of arguments behind that …

Comparing data distributions is a core focus in descriptive statistics, and part of most data analysis processes across disciplines. In …

Multi-target classification of multivariate time series data poses a challenge in many real-world applications (e.g., predictive …

We present a framework that allows users to incorporate the semantics of their domain knowledge for topic model refinement while …

Guidance processes in visual analytics applications often lack adaptivity. In this position paper, we contribute the concept of …

We propose a framework for interactive and explainable machine learning that enables users to (1) understand machine learning models; …

In supervised learning, to ensure the model’s validity, it is essential to identify dataset shifts, i.e., when the data …

Previous research has exposed the discrepancy between the subject of analysis (real world) and the actual data on which the analysis is …

In this paper, we bridge the gap between visualization and musicology by focusing on rhythm analysis tasks, which are tedious due to …

With the recent release of AI interaction guidelines from Apple, Google, and Microsoft, there is clearly interest in understanding the …

The increasing amount of digital sheet music such as MusicXML [5] and through databases like MuseScore1 enables the creation of …

Large-scale interaction networks of human communication are often modeled as complex graph structures, obscuring temporal patterns …

To effectively assess the potential consequences of human interventions in model-driven analytics systems, we establish the concept of …

Argumentation Mining addresses the challenging tasks of identifying boundaries of argumentative text fragments and extracting their …

Explainable Artificial Intelligence (XAI) methods are typically deployed to explain and debug black-box machine learning models. …

Many interactive machine learning workflows in the context of visual analytics encompass the stages of exploration, verification, and …

We present a modular framework for the rapid-prototyping of linguistic, web-based, visual analytics applications. Our framework gives …

Human-in-the-loop model-building processes are increasingly popular as they incorporate human intuition and not easily externalized …

This paper presents a visualization technique for cross-linguistic error analysis in large learner corpora. H-Matrix combines a matrix, …

In this position paper, we frame the field of Visual Musicology by providing an overview of well-established musicological sub-domains …

Common Music Notation (CMN) is the well-established foundation for the written communication of musical information, such as rhythm or …

For the past two years, researchers from the visualization community and the digital humanities have come together at the IEEE VIS …

This paper presents VisGuides, a discussion platform to facilitate the collection, evaluation, critique, revision, and dissemination of …

Participants in a deliberative discourse are expected to follow specific rules of communication to legitimise outcomes. This paper …

We present ThreadReconstructor, a visual analytics approach for detecting and analyzing the implicit conversational structure of …

We propose the concept of Speculative Execution for Visual Ana-lytics and discuss its effectiveness for model exploration and …

The visualization community has developed to date many intuitions and understandings of how to judge the quality of views in …

Topic modeling algorithms are widely used to analyze the thematic composition of text corpora but remain difficult to interpret and …

We propose a mixed-initiative active learning system to tackle the challenge of building descriptive models for under-studied …

Advanced artificial intelligence models are used to solve complex real-world problems across different domains. While bringing along …

We present LTMA, a Layered Topic Matching approach for the unsupervised comparative analysis of topic modeling results. Due to the vast …

In this position paper, we argue that a combination of visualization and verbalization techniques is beneficial for creating broad and …

Projections are some of the most common methods for presenting high-dimensional datasets on a 2D display. While these techniques …

Visual text analytics has recently emerged as one of the most prominent topics in both academic research and the commercial world. To …

Public deliberations are organised by governments and other large institutions to take the views of citizens around controversial …

In this paper, we postulate that combining the domains of information visualization and music studies paves the ground for a more …

We demonstrate the first prototype of the ADD-up visual analytics system. The Augmented Deliberative Democracy (ADD-up) project aims to …

SAM domain and HD domain containing protein 1 (SAMHD1) is a deoxynucleotide triphosphohydrolase (dNTPase) that inhibits retroviruses by …

In news media, echo chambers refer to situations in which information is amplified or reinforced by communication and repetition. The …

We present several approaches and methods which we develop or use to create workflows from data to evidence. They start with looking …

In this paper, we discuss collaborations that can emerge between humanities and visualization researchers. Based on four case studies …

An important factor of argument mining in dialog or multilog data is the framing with which interlocutors put forth their arguments. By …

We present NEREx, an interactive visual analytics approach for the exploratory analysis of verbatim conversational transcripts. By …

We present the first web-based Visual Analytics framework for the analysis of multi-party discourse data using verbatim text …

In the research of deliberative democracy, political scientists are interested in analyzing the communication models of discussions, …

Digital Humanities (DH) research brings together scholars from different disciplines to work on tackling a common research challenge. …

The VisArgue project is an interdisciplinary collaboration of political science, linguistics and information science at the University …

For the last two decades, deliberative democracy has been intensively debated within political science and other related fields. Only …

We argue that there is a need for substantially more research on the use of generative data models in the validation and evaluation of …

In many applications from telephone fraud detection to network management, data arrives in a stream, and there is a need to maintain a …

We introduce a novel visual analytics approach to analyze speaker behavior patterns in multi-party conversations. We propose …

Das VisArgue Projekt hat zum Ziel, automatisch zu erfassen, ob Verhandlungsteilnehmer deliberativ agieren, d. h. ob sie ihre Positionen …

In this paper, we present Lexical Episode Plots, a novel automated text-mining and visual analytics approach for exploratory text …

Deliberation is described as an exchange and mutual evaluation of validity claims to bring about a common solution to a problem or a …

We present two original approaches for visual-interactive prediction of user movie ratings and box office gross after the opening …

This paper describes our solution to the IEEE VAST 2013 Mini Challenge 11. The task of the challenge was to create a visual and …

Recent studies have shown that micro-blogging services such as Twitter can outperform online news aggregators in reaction time to …