Publications
Showing entries 241 - 260 out of 282
Bauer L, Grohs P, Wohlschläger A, Plant C. Planting Synchronisation Trees for Discovering Interaction Patterns among Brain Regions. In Papapetrou P, Cheng X, He Q, editors, Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019: 8–11 November 2019 Beijing, China. Piscataway, NJ: IEEE. 2019. p. 1035-1036. 8955527. (International Conference on Data Mining workshops). doi: 10.1109/ICDMW.2019.00149
Amaral PA, Bomze IM. Nonconvex min–max fractional quadratic problems under quadratic constraints: copositive relaxations. Journal of Global Optimization. 2019 Oct;75(2):227–245. Epub 2019 May 9. doi: 10.1007/s10898-019-00780-3
Bomze IM, Cheng J, Dickinson PJC, Lisser A, Liu J. Notoriously hard (mixed-)binary QPs: empirical evidence on new completely positive approaches. Computational Management Science. 2019 Oct;16(4):593-619. Epub 2018 Nov 26. doi: 10.1007/s10287-018-0337-6
Hautsch N, Voigt S. Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty. Journal of Econometrics. 2019 Sept;212(1):221-240. doi: 10.1016/j.jeconom.2019.04.028
Felberbauer T, Gutjahr W, Dörner KF. Stochastic project management: Multiple projects with multi-skilled human resources. Journal of Scheduling. 2019 Jun 15;22(3):271-288. Epub 2018 Dec 17. doi: 10.1007/s10951-018-0592-y
Fröhler BW, Elberfeld T, Möller T, Hege HC, Weissenböck J, de Beenhouwer J et al. A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science. Computer Graphics Forum. 2019 Jun;38(3):273-283. doi: 10.1111/cgf.13688
Leeb H, Pötscher B, Kivaranovic D. Discussion on "Model confidence bounds for variable selection" by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin. Biometrics. 2019 Jun;75(2):407-410. doi: 10.1111/biom.13021
Steinberger L, Leeb H. Prediction when fitting simple models to high-dimensional data. Annals of Statistics. 2019 Jun;47(3):1408-1442. doi: 10.1214/18-AOS1719
Bachoc F, Leeb H, Pötscher B. Valid Confidence Intervals for Post-Model-Selection Predictors. Annals of Statistics. 2019 Jun;47(3):1475-1504. doi: 10.1214/18-AOS1721
Schmale W. (Daten-)Schutz von Privatheit im digitalen Zeitalter: Eine kulturgeschichtliche Einlassung. Datenschutz und Datensicherheit: DuD: Recht und Sicherheit in Informationsverarbeitung und Kommunikation. 2019 May 25;43(6):327–331. doi: 10.1007/s11623-019-1117-3
Fürnkranz V, Meingast S, Alves J. Extended stellar systems in the solar neighborhood. III. Like ships in the night: the Coma Berenices neighbor moving group. Astronomy & Astrophysics. 2019 Apr 1;624:L11. doi: 10.1051/0004-6361/201935293
Bomze I, Rinaldi F, Rota Bulò S. Pure infection–immunization dynamics for partnership games: A correction. Games and Economic Behavior. 2019 Mar;114:315-317. Epub 2018 Sept 19. doi: 10.1016/j.geb.2018.09.004
Meingast S, Alves J, Fürnkranz V. Extended stellar systems in the solar neighborhood. II. Discovery of a nearby 120° stellar stream in Gaia DR2. Astronomy & Astrophysics. 2019 Feb;622:L13. doi: 10.1051/0004-6361/201834950
Hautsch N, Horvath A. How Effective Are Trading Pauses? Journal of Financial Economics. 2019 Feb;131(2):378-403. doi: 10.1016/j.jfineco.2017.12.011
Meingast S, Alves J. Extended stellar systems in the solar neighborhood. I. The tidal tails of the Hyades. Astronomy & Astrophysics. 2019 Jan 4;621:L3. doi: 10.1051/0004-6361/201834622
Reisenhofer R, King E. Edge, Ridge, and Blob Detection with Symmetric Molecules. SIAM Journal on Imaging Sciences. 2019 Jan;12(4):1585-1626. doi: 10.1137/19m1240861
Bot RI, Nguyen DK. A forward-backward penalty scheme with inertial effects for monotone inclusions. Applications to convex bilevel programming. Optimization. 2019;68(10):1855-1880. Epub 2018 Dec 11. doi: 10.1080/02331934.2018.1556662
Behzadi Soheil S, Müller N, Plant C, Böhm C. Clustering of Mixed-type Data Considering Concept Hierarchies. In Yang Q, Zhou ZH, Gong Z, Zhang ML, Huang SJ, editors, Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Proceedings: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I. Springer. 2019. p. 555-573. (Lecture Notes in Computer Science, Vol. 11439). doi: 10.1007/978-3-030-16148-4_43
Mautz D, Plant C, Böhm C. Deep Embedded Cluster Tree. In 2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019. IEEE. 2019. p. 1258-1263
Schelling B, Plant C. DipTransformation: Enhancing the Structure of a Dataset and thereby improving Clustering. In David K, Geihs K, Lange M, Stumme G, editors, Informatik 2019 : 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft: 23.-26. September 2019 Kassel. Vol. 294. Bonn: Gesellschaft für Informatik e.V. 2019. p. 255-256. (GI-Edition : lecture notes in informatics Proceedings). doi: 10.18420/inf2019_31
Showing entries 241 - 260 out of 282