Publications

Knoll C, Çetin A, Möller T, Meyer M. Extending Recommendations for Creative Visualization-Opportunities Workshops. 2020. Paper presented at 2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV), Salt Lake City, Utah, United States. doi: 10.1109/BELIV51497.2020.00017

Markham A, Grosse-Wentrup M. Measurement Dependence Inducing Latent Causal Models. 2020. Paper presented at Conference on Uncertainty and Artificial Intelligence, Unknown. doi: 10.48550/arXiv.1910.08778

Westermayr J, Marquetand P. Machine learning and excited-state molecular dynamics. Machine Learning: Science and Technology. 2020 Sept 17;1(4):043001. doi: 10.1088/2632-2153/ab9c3e

Schelling B, Sluiter G, Plant C. RandomLink - Avoiding Linkage-Effects by employing Random Effects for Clustering. In Hartmann S, Küng J, Kotsis G, Khalil I, Tjoa AM, editors, Database and Expert Systems Applications. DEXA 2020: Proceedings, Part I. 1 ed. Vol. 12391. Cham: Springer International Publishing. 2020. p. 217-232. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-59003-1_15

Bomze IM , Schachinger W. Constructing Patterns of (Many) ESSs Under Support Size Control. Dynamic Games and Applications. 2020 Sept;10(3):618-640. Epub 2019 Aug 24. doi: 10.1007/s13235-019-00323-1

Hlavackova-Schindler K , Plant C. Graphical Granger Causality by Information-Theoretic Criteria. In De Giacomo G, Catala A, Dilkina B, Milano M, Barro S, Bugarin A, Lang J, editors, ECAI 2020: 24th European Conference on Artificial Intelligence, 29 August–8 September 2020, Santiago de Compostela, Spain – Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020). IOS Press. 2020. p. 1459-1466. (Frontiers in Artificial Intelligence and Applications, Vol. 325).

Schelling B, Miklautz L , Plant C. Non-linear Cluster Enhancement: Forcing Clusters into a compact shape. In De Giacomo G, editor, ECAI 2020 : 24th European Conference on Artificial Intelligence : 29 August-8 September 2020, Santiago De Compostela, Spain, including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) : proceedings: Part 2. Vol. 325. Amsterdam: IOS Press. 2020. p. 1451-1458. (Frontiers in Artificial Intelligence and Applications).

Mautz D, Ye W, Plant C, Böhm C. Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans. ACM Transactions on Knowledge Discovery from Data. 2020 Aug;14(5):1-24. 55. doi: 10.1145/3385652

Kaufman B, Rozgonyi T, Marquetand P, Weinacht T. Coherent Control of Internal Conversion in Strong-Field Molecular Ionization. Physical Review Letters. 2020 Jul 29;125(5):053202. doi: 10.1103/PhysRevLett.125.053202

Molnar C, König G, Herbinger J, Freiesleben T, Dandl S, Scholbeck CA et al.. Pitfalls to Avoid when Interpreting Machine Learning Models. 2020. Paper presented at XXAI: Extending Explainable AI Beyond Deep Models and Classifiers, Wien, Austria. Epub 2020 Jul 8. doi: 10.48550/arXiv.2007.04131

Ratzenboeck S , Meingast S , Alves J , Moeller T , Bomze I. Extended stellar systems in the solar neighborhood IV: Meingast 1: the most massive stellar stream in the solar neighborhood. Astronomy & Astrophysics. 2020 Jul 7;639:A64. doi: 10.1051/0004-6361/202037591

Ratzenboeck S , Meingast S , Alves J , Moeller T , Bomze I. VizieR Online Data Catalog: Extended Meingast 1 source catalogue (Ratzenboeck+, 2020). 2020.

Westermayr J, Gastegger M, Marquetand P. Combining SchNet and SHARC: The SchNarc Machine Learning Approach for Excited-State Dynamics. Journal of Physical Chemistry Letters. 2020 May 21;11(10):3828-3834. doi: 10.1021/acs.jpclett.0c00527

Westermayr J, Faber FA, Christensen AS, von Lilienfeld OA, Marquetand P. Neural networks and kernel ridge regression for excited states dynamics of CH₂NH₂⁺: From single-state to multi-state representations and multi-property machine learning models. Machine Learning: Science and Technology. 2020 May 19;1(2):025009. doi: 10.1088/2632-2153/ab88d0

Liu Y, Horton SL, Yang J, Nunes JPF, Shen X, Wolfe TJA et al. Spectroscopic and Structural Probing of Excited-State Molecular Dynamics with Time-Resolved Photoelectron Spectroscopy and Ultrafast Electron Diffraction. Physical Review X. 2020 Apr 22;10(2):021016. doi: 10.1103/PhysRevX.10.021016

Altinigneli MC, Bauer LGM, Behzadi S, Fritze R, Hlavackova-Schindler K, Leodolter M et al. The Data Mining Group at University of Vienna. Datenbank-Spektrum. 2020 Mar 1;20:71-79. doi: 10.1007/s13222-020-00337-9

Hautsch N, Herrera Leiva R. Multivariate Dynamic Intensity Peaks-Over-Threshold Models. Journal of Applied Econometrics. 2020 Mar;35(2):248-272. doi: 10.1002/jae.2741

Schelling B, Plant C. Dataset-Transformation: Improving Clustering by enhancing the structure with DipScaling and DipTransformation. Knowledge and Information Systems. 2020 Feb;62(2):457-484. doi: 10.1007/s10115-019-01388-5

Fröhler BW, Elberfeld T, Möller T, Hege HC, de Beenhouwer J, Sijbers J et al. Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres. Nondestructive Testing and Evaluation. 2020 Jan 16;35(3):328-341. doi: 10.1080/10589759.2020.1774583

Möller T. Origins. IEEE Computer Graphics & Application . 2020 Jan 7;40(1):14-19. 8951769. doi: 10.1109/MCG.2019.2957689