Publications

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

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 Z-H, 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

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

Mautz D, Plant C, Böhm C. DeepECT: The Deep Embedded Cluster Tree. Data Science and Engineering. 2020 Dec 1;5:419-432. doi: 10.1007/s41019-020-00134-0

Liu Y, Rozgonyi T, Marquetand P, Weinacht T. Excited-state dynamics of CH2I2 and CH2IBr studied with UV-pump VUV-probe momentum-resolved photoion spectroscopy. Journal of Chemical Physics. 2020 Nov 14;153(18):184304. doi: 10.1063/5.0026177

Chen B, D'Onghia E, Alves J, Adamo A. Discovery of new stellar groups in the Orion complex. Towards a robust unsupervised approach. Astronomy & Astrophysics. 2020 Nov 10;643:A114. doi: 10.1051/0004-6361/201935955

Böhm C, Plant C. Massively Parallel Graph Drawing and Representation Learning. In Wu X, Jermaine C, Xiong L, Hu XT, Kotevska O, Lu S, Xu W, Aluru S, Zhai C, Al-Masri E, Chen Z, Saltz J, editors, 2020 IEEE International Conference on Big Data (Big Data). IEEE. 2020. p. 609-616 doi: 10.1109/BigData50022.2020.9377976