Publications
Showing entries 141 - 160 out of 245
Grasser N, Ratzenboeck S, Alves J, Grossschedl J, Meingast S, Zucker C et al.. VizieR Online Data Catalog: rho Oph region revisited with Gaia EDR3 (Grasser+, 2021) 2021.
Elbrächter D, Perekrestenko D, Grohs P, Bölcskei H. Deep Neural Network Approximation Theory. IEEE TRANSACTIONS ON INFORMATION THEORY. 2021 May;67(5):2581-2623. 9363169. doi: https://doi.org/10.1109/TIT.2021.3062161
Sun X, Yu Y, Liang Y, Dong J, Plant C, Böhm C. Fusing Attributed and Topological Global-Relations for Network Embedding. Information Sciences. 2021 May;558:76-90. Epub 2021 Jan 27. doi: 10.1016/j.ins.2021.01.012
Kinast A, Dörner K, Rinderle-Ma S. Biased random-key genetic algorithm for cobot assignment in an assembly/disassembly job shop scheduling problem. 2021. Paper presented at International Conference on Industry 4.0 and Smart Manufacturing 2020, Unknown.
Kaufman B, Rozgonyi T, Marquetand P, Weinacht T. Competition between dynamic resonance and internal conversion in strong-field molecular ionization with chirped ultrafast laser pulses. Physical Review A. 2021 Feb 15;103(2):023108. doi: 10.1103/PhysRevA.103.023108
Bomze I, Schachinger W, Weibull J. Does moral play equilibrate? Economic Theory. 2021 Feb;71(1):305-315. Epub 2020 Jan 22. doi: 10.1007/s00199-020-01246-4
Bomze I, Gabl M. Interplay of non-convex quadratically constrained problems with adjustable robust optimization. Mathematical Methods of Operations Research. 2021 Feb;93(1):115-151. Epub 2020 Oct 6. doi: 10.1007/s00186-020-00726-6
Bomze I, Kahr M, Leitner M. Trust Your Data or Not—StQP Remains StQP: Community Detection via Robust Standard Quadratic Optimization. Mathematics of Operations Research. 2021 Feb;46(1):301-316. Epub 2020 Sept 17. doi: 10.1287/moor.2020.1057
Andersen TG, Archakov I, Grund LE, Hautsch N, Li Y, Nasekin S et al. A Descriptive Study of High-Frequency Trade and Quote Option Data. Journal of Financial Econometrics. 2021 Jan 6;19(1):128–177. nbaa036. doi: https://doi.org/10.1093/jjfinec/nbaa036
Meingast S, Alves J, Rottensteiner A. Extended stellar systems in the solar neighborhood. V. Discovery of coronae of nearby star clusters. Astronomy & Astrophysics. 2021 Jan 1;645:A84. doi: 10.1051/0004-6361/202038610
König G, Molnar C, Bischl B, Grosse-Wentrup M. Relative Feature Importance. 2021. Paper presented at 25th International Conference on Pattern Recognition, Mailand, Italy. doi: 10.1109/ICPR48806.2021.9413090
Qian L, Plant C, Böhm C. Density-Based Clustering for Adaptive Density Variation. In Bailey J, Miettinen P, Koh YS, Tao D, Wu X, editors, Proceedings - 21st IEEE International Conference on Data Mining, ICDM 2021. Piscataway, NJ: IEEE. 2021. p. 1282-1287 doi: https://doi.org/10.1109/ICDM51629.2021.00158
Miklautz L, Bauer L, Mautz D, Tschiatschek S, Böhm C, Plant C. Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces. In Zhou ZH, editor, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21): Montreal, 19-27 August 2021. International Joint Conferences on Artificial Intelligence. 2021. p. 2826-2832 doi: https://doi.org/10.24963/ijcai.2021/389
Xu J, Markham A, Meunier A, Raggam P, Grosse-Wentrup M. Distance Covariance: A Nonlinear Extension of Riemannian Geometry for EEG-Based Brain-Computer Interfacing. 2021. Paper presented at 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Victoria, Australia. doi: 10.1109/SMC52423.2021.9658876
Alarcon Ortega EJ, Bicher M, Bomze I, Bot RI, Dörner KF, Gansterer M et al. Logistikentscheidungsunterstützung in der Pandemie. In Brunner U, Prandtstetter M, Reiner G, Starkl F, Stein S, Wakolbinger T, editors, Jahrbuch der Logistikforschung: Innovative Anwendungen, Konzepte & Technologien. Vol. 3. Wien: Trauner Verlag. 2021. p. 185-195. (Schriftenreihe Logistikforschung).
Follak S, Bakacsy L, Essl F, Hochfellner L, Lapin K, Schwarz M et al. Monograph of invasive plants in Europe N°6: Asclepias syriaca L. Botany Letters. 2021;168(3):422-451. doi: 10.1080/23818107.2021.1886984
Geist M, Petersen PC, Raslan M, Schneider R, Kutyniok G. Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks. Journal of Scientific Computing. 2021;88(1):22. doi: 10.1007/s10915-021-01532-w
Kivaranovic D, Leeb H. On the Length of Post-Model-Selection Confidence Intervals Conditional on Polyhedral Constraints. American Statistical Association. Journal. 2021;116(534):845-857. Epub 2020 May. doi: 10.1080/01621459.2020.1732989
Schelling B, Bauer L, Behzadi Soheil S, Plant C. Utilizing Structure-rich Features to improve Clustering. In Hutter F, Kersting K, Lijffjit J, Valera I, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part I. 1 ed. Vol. 12457. Cham: Springer International Publishing. 2021. p. 91-107. (Lecture Notes in Computer Science). doi: https://doi.org/10.1007/978-3-030-67658-2_6
Kaufman B, Rozgonyi T, Marquetand P, Weinacht T. Adiabatic elimination in strong-field light-matter coupling. Physical Review A. 2020 Dec 23;102(6):063117. doi: 10.1103/PhysRevA.102.063117
Showing entries 141 - 160 out of 245