Journal Article (104)
2018
Journal Article
194, pp. 15 - 24 (2018)
Machine-learning-based atom probe crystallographic analysis. Ultramicroscopy
Journal Article
9, 2775 (2018)
Insightful classification of crystal structures using deep learning. Nature Communications 2017
Journal Article
31 (5), pp. 1391 - 1418 (2017)
Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery. Data Mining and Knowledge Discovery
Journal Article
19 (1), 013031 (2017)
Uncovering structure-property relationships of materials by subgroup discovery. New Journal of Physics Book Chapter (1)
2020
Book Chapter
Big-Data-Driven Materials Science and its FAIR Data Infrastructure. In: Handbook of Materials Modeling, pp. 49 - 73 (Eds. Andreoni, W.; Yip, S.). Springer, Cham (2020)
Conference Paper (14)
2023
Conference Paper
Beyond the Fourth Paradigm — the Rise of AI. In: 2023 IEEE 19th International Conference on e-Science (e-Science). 2023 IEEE 19th International Conference on e-Science (e-Science), Limassol, Cyprus, October 09, 2023 - October 13, 2023. IEEE, New York City, US (2023)
2019
Conference Paper
We Are Not Your Real Parents: Telling Causal from Confounded by MDL. In: Proceedings of the 2019 SIAM International Conference on Data Mining, pp. 199 - 207 (Eds. Berger-Wolf, T.; Chawla, N.). SIAM International Conference on Data Mining, Calgary, Canada, May 02, 2019 - May 04, 2019. SIAM, Philadelphia, PA (2019)
Conference Paper
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, pp. 6206 - 6210 (Ed. Krais, S.). Twenty-Eighth International Joint Conference on Artificial Intelligence, Macao, August 10, 2019 - August 16, 2019. IJCAI (2019)
Conference Paper
Causal Inference on Multivariate and Mixed-Type Data. In: Machine Learning and Knowledge Discovery in Databases, pp. 655 - 671 (Eds. Berlingerio, M.; Bonchi, F.; Gärtner, T.; Hurley, N.; Ifrim, G.). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, Ireland, September 10, 2018 - September 14, 2018. Springer, Berlin (2019)
Conference Paper
Testing Conditional Independence on Discrete Data using Stochastic Complexity. In: Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, pp. 496 - 505 (Eds. Chaudhuri, K.; Sugiyama, M.). 22nd International Conference on Artificial Intelligence and Statistics, Naha, Okinawa, Japan, April 16, 2019 - April 18, 2019. PMLR (2019)
Conference Paper
Identifiability of Cause and Effect using Regularized Regression. In: KDD '19, pp. 852 - 861. 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Anchorage, AK, USA, August 04, 2019 - August 08, 2019. ACM, New York, NY (2019)
Conference Paper
Modern MDL meets Data Mining Insights, Theory and Practice. In: KDD´19 Proceedings of the 25th ACM SIGKDD conference on knowledge Discovery & Data mining, pp. 3229 - 3230. 25th ACM SIGKDD conference on knowledge Discovery and Data mining, Anchorage, AK, USA, August 04, 2019 - August 08, 2019. ACM, New York (2019)
2018
Conference Paper
Rule Discovery for Exploratory Causal Reasoning. In: Proceedings of the NeurIPS 2018 workshop on Causal Learning, 14. NeurIPS 2018 Workshop on Causal Learning, Montréal, Canada, December 07, 2018. (2018)
Conference Paper
Accurate Causal Inference on Discrete Data. In: IEEE International Conference on Data Mining, pp. 881 - 886. IEEE International Conference on Data Mining, Singapore, Singapore, November 17, 2018 - November 20, 2018. IEEE, Piscataway, NJ (2018)
Conference Paper
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. In: IEEE International Conference on Data Mining, pp. 317 - 326. IEEE International Conference on Data Mining, Singapore, Singapore, November 17, 2018 - November 20, 2018. IEEE, Piscataway, NJ (2018)
2017
Conference Paper
MDL for Causal Inference on Discrete Data. In: 17th IEEE International Conference on Data Mining, pp. 751 - 756. 17th IEEE International Conference on Data Mining, New Orleans, LA, USA, November 18, 2017 - November 21, 2017. IEEE, Piscataway, NJ (2017)
Conference Paper
Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups. In: 17th IEEE International Conference on Data Mining, pp. 197 - 206. 17th IEEE International Conference on Data Mining, New Orleans, LA, USA, November 18, 2017 - November 21, 2017. IEEE, Piscataway, NJ (2017)
Conference Paper
Discovering Reliable Approximate Functional Dependencies. In: KDD'17, pp. 355 - 363. 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017 - August 17, 2017. ACM, New York, NY (2017)
Conference Paper
Telling Cause from Effect Using MDL-Based Local and Global Regression. In: 17th IEEE International Conference on Data Mining, pp. 307 - 316. 17th IEEE International Conference on Data Mining, New Orleans, LA, USA, November 18, 2017 - November 21, 2017. IEEE, Piscataway, NJ (2017)
Working Paper (3)
2023
Working Paper
CELL: a Python package for cluster expansion with a focus on complex alloys. Psi-k Network (2023)
2019
Working Paper
Discovering Reliable Correlations in Categorical Data. (2019), 10 pp.
Working Paper
Cross-validation tests for cryo-EM maps using an independent particle set. (2019), 27 pp.
Other (1)
2020
Other
transcoder tool added first implementation of Python reader for *.APT files.., paraprobe, (2020)