| Vizrec: Recommending personalized visualizations B Mutlu, E Veas, C Trattner ACM Transactions on Interactive Intelligent Systems (TiiS) 6 (4), 1-39, 2016 | 69 | 2016 |
| Discovery and visual analysis of linked data for humans V Sabol, G Tschinkel, E Veas, P Hoefler, B Mutlu, M Granitzer The Semantic Web–ISWC 2014: 13th International Semantic Web Conference, Riva …, 2014 | 36 | 2014 |
| Constructing robust health indicators from complex engineered systems via anticausal learning G Koutroulis, B Mutlu, R Kern Engineering Applications of Artificial Intelligence 113, 104926, 2022 | 25 | 2022 |
| Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring. J Suschnigg, B Mutlu, AK Fuchs, V Sabol, S Thalmann, T Schreck EDBT/ICDT Workshops, 1-8, 2020 | 25 | 2020 |
| Using Semantics for Interactive Visual Analysis of Linked Open Data. G Tschinkel, EE Veas, B Mutlu, V Sabol ISWC (Posters & Demos), 133-136, 2014 | 24 | 2014 |
| Suggesting visualisations for published data B Mutlu, P Hoefler, G Tschinkel, E Veas, V Sabol, F Stegmaier, ... 2014 International Conference on Information Visualization Theory and …, 2014 | 21 | 2014 |
| Automated Visualization Support for Linked Research Data. B Mutlu, P Hoefler, V Sabol, G Tschinkel, M Granitzer I-SEMANTICS (Posters & Demos) 1026, 40-44, 2013 | 18 | 2013 |
| Crowdsourcing fact extraction from scientific literature C Seifert, M Granitzer, P Höfler, B Mutlu, V Sabol, K Schlegel, S Bayerl, ... Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured …, 2013 | 18 | 2013 |
| Cognitive decision support for industrial product life cycles: A position paper S Thalmann, HG Gursch, J Suschnigg, M Gashi, H Ennsbrunner, ... Proceedings of the 11 th International Conference on Advanced Cognitive …, 2019 | 17 | 2019 |
| Vizrec: A two-stage recommender system for personalized visualizations B Mutlu, E Veas, C Trattner, V Sabol Companion Proceedings of the 20th International Conference on Intelligent …, 2015 | 16 | 2015 |
| Unleashing semantics of research data F Stegmaier, C Seifert, R Kern, P Höfler, S Bayerl, M Granitzer, H Kosch, ... Specifying Big Data Benchmarks: First Workshop, WBDB 2012, San Jose, CA, USA …, 2014 | 14 | 2014 |
| Visual exploration of anomalies in cyclic time series data with matrix and glyph representations J Suschnigg, B Mutlu, G Koutroulis, V Sabol, S Thalmann, T Schreck Big Data Research 26, 100251, 2021 | 8 | 2021 |
| The recommendation dashboard: A system to visualise and organise recommendations G Tschinkel, C Di Sciascio, B Mutlu, V Sabol 2015 19th International Conference on Information Visualisation, 241-244, 2015 | 8 | 2015 |
| Decision support for multi-component systems: visualizing interdependencies for predictive maintenance. M Gashi, B Mutlu, SN Lindstaedt, S Thalmann HICSS, 1-10, 2022 | 6 | 2022 |
| Human/machine/roboter: Technologies for cognitive processes G Weichhart, A Ferscha, B Mutlu, M Brillinger, K Diwold, S Lindstaedt, ... e & i Elektrotechnik und Informationstechnik 136 (7), 313-317, 2019 | 6 | 2019 |
| Recommending Personalized Visualizations B Mutlu, EE Veas, CT VizRec TiiS 6 (4), 2016 | 6 | 2016 |
| Towards a recommender engine for personalized visualizations B Mutlu, E Veas, C Trattner, V Sabol User Modeling, Adaptation and Personalization: 23rd International Conference …, 2015 | 6 | 2015 |
| A causality-inspired approach for anomaly detection in a water treatment testbed G Koutroulis, B Mutlu, R Kern Sensors 23 (1), 257, 2022 | 5 | 2022 |
| Towards a task-based guidance in exploratory visual analytics B Mutlu, M Gashi, V Sabol 54th Annual Hawaii International Conference on System Sciences: HICSS 2021 …, 2021 | 5 | 2021 |
| Visual data analysis of production quality data for aluminum casting N Jekic, M Schreyer, S Neubert, B Mutlu, T Schreck 54th Annual Hawaii International Conference on System Sciences: HICSS 2021 …, 2021 | 5 | 2021 |
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