MPG.PuRe Contact

Dr. Lobna Maaroufi
Dr. Lobna Maaroufi
Phone:+49 39 1611-0485

BiGmax relevant publications

 

Journal Article (7)

  1. 2018
    Journal Article
    Budhathoki, K.; Vreeken, J.: Origo: causal inference by compression. Knowledge and Information Systems 56 (2), pp. 285 - 307 (2018)
  2. Journal Article
    Draxl, C.; Scheffler, M.: NOMAD: The FAIR concept for big data-driven materials science. MRS Bulletin 43 (9), pp. 676 - 682 (2018)
  3. Journal Article
    Ouyang, R.; Curtarolo, S.; Ahmetcik, E.; Scheffler, M.; Ghiringhelli, L. M.: SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates. Physical Review Materials 2, 083802 (2018)
  4. Journal Article
    Shang, H.; Raimbault, N.; Rinke, P.; Scheffler, M.; Rossi, M.; Carbogno, C.: All-electron, real-space perturbation theory for homogeneous electric fields: theory, implementation, and application within DFT. New Journal of Physics 20, 073040 (2018)
  5. Journal Article
    Ziletti, A.; Kumar, D.; Scheffler, M.; Ghiringhelli, L. M.: Insightful classification of crystal structures using deep learning. Nature Communications 9, 2775 (2018)
  6. 2017
    Journal Article
    Boley, M.; Goldsmith, B.; Ghiringhelli, L. M.; Vreeken, J.: Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery. Data Mining and Knowledge Discovery 31 (5), pp. 1391 - 1418 (2017)
  7. Journal Article
    Goldsmith, B.; Boley, M.; Vreeken, J.; Scheffler, M.; Ghiringhelli, L. M.: Uncovering structure-property relationships of materials by subgroup discovery. New Journal of Physics 19, 013031 (2017)

Conference Paper (4)

  1. 2017
    Conference Paper
    Budhathoki, K.; Vreeken, J.: MDL for Causal Inference on Discrete Data. In: Proceeding 2017 IEEE International Conference on Data Mining (ICDM) (2017), pp. 751 - 756. 2017 IEEE International Conference on Data Mining (ICDM) (2017), New Orleans, Louisiana, USA, November 18, 2017 - November 21, 2017. IEEE (2017)
  2. Conference Paper
    Kalofolias, J.; Boley, M.; Vreeken, J.: Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups. In: Proceedings of 2017 IEEE International Conference on Data Mining (ICDM), pp. 197 - 206. 2017 IEEE International Conference on Data Mining (ICDM), New Orleans, LA, USA, November 18, 2017 - November 21, 2017. (2017)
  3. Conference Paper
    Mandros, P.; Boley, M.; Vreeken, J.: Discovering Reliable Approximate Functional Dependencies. In: KDD '17 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 355 - 363. KDD '17 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , Halifax, NS, Canada , August 13, 2017 - August 17, 2017. (2017)
  4. Conference Paper
    Marx, A.; Vreeken, J.: Telling Cause from Effect Using MDL-Based Local and Global Regression. In: Proceedings: 2017 IEEE International Conference on Data Mining, pp. 307 - 316. 2017 IEEE International Conference on Data Mining, New Orleans, LA, USA , November 18, 2017 - November 21, 2017. (2017)
 
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