Belgin Mutlu
Belgin Mutlu
Pro2Future GmbH
Verified email at pro2future.at
Title
Cited by
Cited by
Year
Vizrec: Recommending personalized visualizations
B Mutlu, E Veas, C Trattner
ACM Transactions on Interactive Intelligent Systems (TiiS) 6 (4), 1-39, 2016
512016
Discovery and visual analysis of linked data for humans
V Sabol, G Tschinkel, E Veas, P Hoefler, B Mutlu, M Granitzer
International Semantic Web Conference, 309-324, 2014
272014
Using Semantics for Interactive Visual Analysis of Linked Open Data.
G Tschinkel, EE Veas, B Mutlu, V Sabol
International Semantic Web Conference (Posters & Demos), 133-136, 2014
232014
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
192014
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
172013
Crowdsourcing fact extraction from scientific literature
C Seifert, M Granitzer, P Höfler, B Mutlu, V Sabol, K Schlegel, S Bayerl, ...
International Workshop on Human-Computer Interaction and Knowledge Discovery …, 2013
152013
Vizrec: A two-stage recommender system for personalized visualizations
B Mutlu, E Veas, C Trattner, V Sabol
Proceedings of the 20th International Conference on Intelligent User …, 2015
142015
Unleashing semantics of research data
F Stegmaier, C Seifert, R Kern, P Höfler, S Bayerl, M Granitzer, H Kosch, ...
Specifying big data benchmarks, 103-112, 2012
122012
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
102020
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
82019
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
82015
Towards a recommender engine for personalized visualizations
B Mutlu, E Veas, C Trattner, V Sabol
International Conference on User Modeling, Adaptation, and Personalization …, 2015
72015
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
22019
Tags, titles or Q&As? choosing content descriptors for visual recommender systems
B Mutlu, E Veas, C Trattner
Proceedings of the 28th ACM Conference on Hypertext and Social Media, 265-274, 2017
22017
Visual Recommendations for Scientific and Cultural Content.
EE Veas, B Mutlu, C di Sciascio, G Tschinkel, V Sabol
IVAPP, 256-261, 2015
22015
Towards a Task-based Guidance in Exploratory Visual Analytics
B Mutlu, M Gashi, V Sabol
Proceedings of the 54th Hawaii International Conference on System Sciences, 1466, 2021
12021
Similarity Measures for Visual Comparison and Retrieval of Test Data in Aluminum Production.
N Jekic, B Mutlu, M Schreyer, S Neubert, T Schreck
VISIGRAPP (3: IVAPP), 210-218, 2021
12021
Visual Analysis of Aluminum Production Data with Tightly Linked Views.
N Jekic, B Mutlu, M Faschang, S Neubert, S Thalmann, T Schreck
EuroVis (Posters), 49-51, 2019
12019
Towards a Learning Dashboard for Community Visualization.
B Mutlu, I Simic, A Cicchinelli, V Sabol, EE Veas
AFEL@ EC-TEL, 2018
12018
D2. 4--Second Software Components for Presentation and Augmentation Interfaces
C Seifert, J Schlötterer, C Sciascio, B Mutlu, G Tschinklel, V Sabol
12015
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Articles 1–20