Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 119
Number of items: 119
  • Open Access
    Soiland-Reyes, S., Sefton, P., Crosas, M., Castro, L. J., Coppens, F., Fernández, J. M., Garijo, D., Grüning, B., La Rosa, M., Leo, S., Ó Carragáin, E., Portier, M., Trisovic, A., RO-Crate Community, Groth, P., & Goble, C. (2022). Packaging research artefacts with RO-Crate. Data Science, 5(2), 97-138. https://doi.org/10.3233/DS-210053
  • Open Access
    Carriero, V. A., Groth, P., & Presutti, V. (2022). Towards improving Wikidata reuse with emerging patterns. In L.-A. Kaffee, S. Razniewski, G. Amaral, & K. S. Alghamdi (Eds.), Proceedings of the 3rd Wikidata Workshop 2022 : co-located with the 21st International Semantic Web Conference (ISWC2022) : Virtual Event, Hangzhou, China, October 2022 Article 2 (CEUR Workshop Proceedings; Vol. 3262). CEUR-WS. https://ceur-ws.org/Vol-3262/paper2.pdf
  • Open Access
    Grafberger, S., Groth, P., & Schelter, S. (2022). Towards data-centric what-if analysis for native machine learning pipelines. In Proceedings of the Sixth Workshop on Data Management for End-to-End Machine Learning: in conjunction with the 2022 ACM SIGMOD/PODS Conference, Philadelphia, PA, USA Article 3 Association for Computing Machinery. https://doi.org/10.1145/3533028.3533303
  • Open Access
    Grafberger, S., Groth, P., Stoyanovich, J., & Schelter, S. (2022). Data distribution debugging in machine learning pipelines. VLDB Journal, 31(5), 1103-1126. https://doi.org/10.1007/s00778-021-00726-w
  • Open Access
    Soiland-Reyes, S., Bayarri, G., Andrio, P., Long, R., Lowe, D., Niewielska, A., Hospital, A., & Groth, P. (2022). Making Canonical Workflow Building Blocks interoperable across workflow languages. Data Intelligence, 4(2), Article 342–357. https://doi.org/10.5281/zenodo.5727730, https://doi.org/10.1162/dint_a_00135
  • Daza Cruz, D., Cochez, M., & Groth, P. (2021). Inductive WN18RR and FB15k-237 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4501273
  • Nevin, J., Lees, M., & Groth, P. (2021, September 20). Network simulation algorithms [Data set]. Mendeley Data. https://doi.org/10.17632/fpjpznrbt2.2
  • Alam, M., Ali, M., Groth, P., Hitzler, P., Lehmann, J., Paulheim, H., Rettinger, A., Sack, H., Sadeghi, A., & Tresp, V. (Eds.) (2021). Machine Learning with Symbolic Methods and Knowledge Graphs: co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021) : Virtual, September 17, 2021. (CEUR Workshop Proceedings; Vol. 2997). CEUR-WS. http://ceur-ws.org/Vol-2997
  • Open Access
    Koesten, L., Gregory, K., Groth, P., & Simperl, E. (2021). Talking datasets – Understanding data sensemaking behaviours. International Journal of Human-Computer Studies, 146, Article 102562. https://doi.org/10.1016/j.ijhcs.2020.102562
  • Open Access
    Shroff, N., Vandenbussche, P.-Y., Moore, V., & Groth, P. (2021). Supporting ontology maintenance with contextual word embeddings and maximum mean discrepancy. In S. Ben Abbès, R. Hantach, P. Calvez, D. Buscaldi, D. Dessì, M. Dragoni, D. Reforgiato Recupero, & H. Sack (Eds.), Joint Proceedings of the 2nd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021) & 6th International Workshop on Explainable Sentiment Mining and Emotion Detection (X-SENTIMENT 2021): co-located with co-located with 18th Extended Semantic Web Conference 2021 : Hersonissos, Greece, June 6th - 7th, 2021 (moved online) (pp. 11-19). (CEUR Workshop Proceedings; Vol. 2918). CEUR-WS. http://ceur-ws.org/Vol-2918/paper2.pdf
Page 8 of 12