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TopicExplorer: Exploring Document Collections with Topic Models

, , and . page 838--841. Springer Berlin Heidelberg, Berlin, Heidelberg, (2012)
DOI: 10.1007/978-3-642-33486-3_59

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Alexander Verl

On the Dynamics and Emergency Stop Behavior of Cable-Driven Parallel Robots, , and . ROMANSY 21 - Robot Design, Dynamics and Control, volume 569 of CISM International Centre for Mechanical Sciences, page 431--438. Switzerland, Springer Verlag and Springer International Publishing, (2016)

Dr. rer. nat. Alexander Schlaich University of Stuttgart

Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries, and . Software, (2024)Related to: Artemov, V.; Frank, L.; Doronin, R.; Stärk, P.; Schlaich, A.; Andreev, A.; Leisner, T.; Radenovic, A.; Kiselev, A. The Three-Phase Contact Potential Difference Modulates the Water Surface Charge. J. Phys. Chem. Lett. 2023, 14, 4796-4802. doi: 10.1021/acs.jpclett.3c00479.
 

Other publications of authors with the same name

Using projections to visually cluster high-dimensional data., , and . Computing in Science and Engineering, 5 (2): 14-25 (2003)Multi-Resolution Similarity Search in Image Databases., , , and . Multimedia Information Systems, page 76-85. Arizona State University, (2002)Visual interaction to solving complex optimization problems., and . Data Visualization: The State of the Art, page 407-422. Kluwer, (2003)Translating Bayesian Networks into Entity Relationship Models, Extended Version., and . CoRR, (2016)Duplicate detection of 2D-NMR Spectra., , and . J. Integrative Bioinformatics, (2007)TopicExplorer: Exploring Document Collections with Topic Models., , and . ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 838-841. Springer, (2012)An Efficient Approach to Clustering in Large Multimedia Databases with Noise., and . KDD, page 58-65. AAAI Press, (1998)Visualizing Clustering Results.. Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Visualizing Clustering Results.. Encyclopedia of Database Systems, Springer US, (2009)Clustering Techniques for Large Data Sets - from the Past to the Future., and . KDD Tutorial Notes, page 141-181. ACM, (1999)