Unleashing Semantics of Research Data. - Florian Stegmaier; Christin Seifert; Roman Kern; Patrick Höfler; Sebastian Bayerl; Michael Granitzer; Harald Kosch; Stefanie N. Lindstaedt; Belgin Mutlu; Vedran Sabol; Kai Schlegel; Stefan Zwicklbauer (WBDB, 2012)

Automated Visualization Support for Linked Research Data. - Belgin Mutlu; Patrick Höfler; Vedran Sabol; Gerwald Tschinkel; Michael Granitzer (I-SEMANTICS (Posters & Demos), 2013)

Crowdsourcing Fact Extraction from Scientific Literature. - Christin Seifert; Michael Granitzer; Patrick Höfler; Belgin Mutlu; Vedran Sabol; Kai Schlegel; Sebastian Bayerl; Florian Stegmaier; Stefan Zwicklbauer; Roman Kern (CHI-KDD, 2013)

Suggesting Visualisations for Published Data. - Belgin Mutlu; Patrick Höfler; Gerwald Tschinkel; Eduardo E. Veas; Vedran Sabol; Florian Stegmaier; Michael Granitzer (IVAPP, 2014)

Discovery and Visual Analysis of Linked Data for Humans. - Vedran Sabol; Gerwald Tschinkel; Eduardo E. Veas; Patrick Höfler; Belgin Mutlu; Michael Granitzer (ISWC (1), 2014)

Using Semantics for Interactive Visual Analysis of Linked Open Data. - Gerwald Tschinkel; Eduardo E. Veas; Belgin Mutlu; Vedran Sabol (ISWC (Posters & Demos), 2014)

CODE Query Wizard and Vis Wizard: Supporting Exploration and Analysis of Linked Data. - Patrick Höfler; Belgin Mutlu (ERCIM News, 2014)

Visual Recommendations for Scientific and Cultural Content. - Eduardo E. Veas; Belgin Mutlu; Cecilia di Sciascio; Gerwald Tschinkel; Vedran Sabol (IVAPP, 2015)

VizRec: A Two-Stage Recommender System for Personalized Visualizations. - Belgin Mutlu; Eduardo E. Veas; Christoph Trattner; Vedran Sabol (IUI Companion, 2015)

The Recommendation Dashboard: A System to Visualise and Organise Recommendations. - Gerwald Tschinkel; Cecilia di Sciascio; Belgin Mutlu; Vedran Sabol (IV, 2015)

Towards a Recommender Engine for Personalized Visualizations. - Belgin Mutlu; Eduardo E. Veas; Christoph Trattner; Vedran Sabol (UMAP, 2015)

Designing Generic Visualisations for Activity Log Data. - Granit Luzhnica; Angela Fessl; Eduardo E. Veas; Belgin Mutlu; Viktoria Pammer (ARTEL@EC-TEL, 2016)

From Data to Visualisations and Back: Selecting Visualisations Based on Data and System Design Considerations. - Belgin Mutlu; Vedran Sabol; Heimo Gursch; Roman Kern (CoRR, 2016)

VizRec: Recommending Personalized Visualizations. - Belgin Mutlu; Eduardo E. Veas; Christoph Trattner (ACM Trans. Interact. Intell. Syst., 2016)

Tags, Titles or Q&As?: Choosing Content Descriptors for Visual Recommender Systems. - Belgin Mutlu; Eduardo E. Veas; Christoph Trattner (HT, 2017)

Towards a Learning Dashboard for Community Visualization. - Belgin Mutlu; Ilija Simic; Analía Cicchinelli; Vedran Sabol; Eduardo E. Veas (AFEL@EC-TEL, 2018)

Visual Analysis of Aluminum Production Data with Tightly Linked Views. - Nikolina Jekic; Belgin Mutlu; Mario Faschang; Steffen Neubert; Stefan Thalmann; Tobias Schreck (EuroVis (Posters), 2019)

Human/machine/roboter: technologies for cognitive processes. - Georg Weichhart; Alois Ferscha; Belgin Mutlu; Markus Brillinger; Konrad Diwold; Stefanie N. Lindstaedt; Tobias Schreck; Christoph Mayr-Dorn (Elektrotech. Informationstechnik, 2019)

Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring. - Josef Suschnigg; Belgin Mutlu; Anna Katharina Fuchs; Vedran Sabol; Stefan Thalmann; Tobias Schreck (EDBT/ICDT Workshops, 2020)

Visual Data Analysis of Production Quality Data for Aluminum Casting. - Nikolina Jekic; Belgin Mutlu; Manuela Schreyer; Steffen Neubert; Tobias Schreck (HICSS, 2021)

Towards a Task-based Guidance in Exploratory Visual Analytics. - Belgin Mutlu; Milot Gashi; Vedran Sabol (HICSS, 2021)

Similarity Measures for Visual Comparison and Retrieval of Test Data in Aluminum Production. - Nikolina Jekic; Belgin Mutlu; Manuela Schreyer; Steffen Neubert; Tobias Schreck (VISIGRAPP (3: IVAPP), 2021)

Visual Exploration of Anomalies in Cyclic Time Series Data with Matrix and Glyph Representations. - Josef Suschnigg; Belgin Mutlu; Georgios Koutroulis; Vedran Sabol; Stefan Thalmann; Tobias Schreck (Big Data Res., 2021)

KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines. - Georgios Koutroulis; Leo Botler; Belgin Mutlu; Konrad Diwold; Kay Römer; Roman Kern (ACM Trans. Intell. Syst. Technol., 2021)

Visual Data Science for Industrial Applications. - Tobias Schreck; Belgin Mutlu; Marc Streit (Digital Transformation, 2022)

Decision support for multi-component systems: visualizing interdependencies for predictive maintenance. - Milot Gashi; Belgin Mutlu; Stefanie N. Lindstaedt; Stefan Thalmann (HICSS, 2022)

ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines. - Joscha Eirich; Georgios Koutroulis; Belgin Mutlu; Dominik Jäckle; Roman Kern; Tobias Schreck; Jürgen Bernard (IEEE Computer Graphics and Applications, 2022)

Constructing robust health indicators from complex engineered systems via anticausal learning. - Georgios Koutroulis; Belgin Mutlu; Roman Kern (Eng. Appl. Artif. Intell., 2022)

A Causality-Inspired Approach for Anomaly Detection in a Water Treatment Testbed. - Georgios Koutroulis; Belgin Mutlu; Roman Kern (Sensors, 2023)

Visual Analysis of Cyclic Time Series with Semantic Zoom. - Patrick Louis; Belgin Mutlu; Josef Suschnigg; Tobias Schreck (IV, 2024)

Unveiling Operational Dynamics: Causally Interpretable Clustering for Understanding the Usage of Plastic Injection Molding Machines. - Matej Vukovic; Paul Haferlbauer; Belgin Mutlu; Stefan Thalmann (CBI, 2024)

Visual Exploration and Analysis of Simulation and Testing Data in Motor Engineering. - Patrick Louis; Lena Cibulski; Josef Suschnigg; Edmund Marth; Hubert Mitterhofer; Jörn Kohlhammer; Tobias Schreck; Belgin Mutlu (IEEE Computer Graphics and Applications, 2024)

Local machine learning model-based multi-objective optimization for managing system interdependencies in production: A case study from the ironmaking industry. - Matej Vukovic; Georgios Koutroulis; Belgin Mutlu; Petra Krahwinkler; Stefan Thalmann (Eng. Appl. Artif. Intell., 2024)

Interpretability of Causal Discovery in Tracking Deterioration in a Highly Dynamic Process. - Asha Choudhary; Matej Vukovic; Belgin Mutlu; Michael Haslgrübler; Roman Kern (Sensors, 2024)

Cluster-Based Approach for Visual Anomaly Detection in Multivariate Welding Process Data Supported by User Guidance. - Josef Suschnigg; Belgin Mutlu; Matthias Burgholzer; Michael Bauer; Tobias Schreck (IUI, 2025)

MANDALA - Visual Exploration of Anomalies in Industrial Multivariate Time Series Data. - Josef Suschnigg; Belgin Mutlu; Georgios Koutroulis; H. Hussain; Tobias Schreck (Comput. Graph. Forum, 2025)