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Institute of Data Science

Organisational unit: Institute

Type of address: Visitor address.
Appelstraße 4
30167
Hannover
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Publications

  1. 2024
  2. Published

    PALADIN: A process-based constraint language for data validation

    Diaz-Honrubia, A. J., Rohde, P. D., Niazmand, E., Menasalvas, E. & Vidal, M. E., Dec 2024, In: Information Fusion. 112, 23 p., 102557.

    Research output: Contribution to journalArticleResearchpeer review

  3. E-pub ahead of print

    Fair Link Prediction With Overlapping Groups

    Pal, M., Sikdar, S. & Ganguly, N., 18 Nov 2024, (E-pub ahead of print) In: IEEE Transactions on Computational Social Systems. 15 p.

    Research output: Contribution to journalArticleResearchpeer review

  4. Published

    VISE: Validated and Invalidated Symbolic Explanations for Knowledge Graph Integrity

    Purohit, D., Chudasama, Y., Torrente, M. & Vidal, M. E., 14 Nov 2024, Explainable Artificial Intelligence for the Medical Domain 2024: Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024). 23 p. (CEUR workshop proceedings; vol. 3831).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  5. Published

    Completing Predicates Based on Alignment Rules from Knowledge Graphs

    Niazmand, E. & Vidal, M. E., 18 Aug 2024, Database and Expert Systems Applications : 35th International Conference, DEXA 2024, Proceedings. Strauss, C., Amagasa, T., Manco, G., Kotsis, G., Khalil, I. & Tjoa, A. M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 59-74 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14910 LNCS).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  6. Published

    Discovering Relationships Among Properties in Wikidata Knowledge Graph

    Niazmand, E. & Vidal, M. E., 18 Aug 2024, Big Data Analytics and Knowledge Discovery : 26th International Conference, DaWaK 2024, Proceedings. Wrembel, R., Chiusano, S., Kotsis, G., Khalil, I. & Tjoa, A. M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 388-394 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14912 LNCS).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  7. Published

    Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines

    Russo, M., Chudasama, Y., Purohit, D., Sawischa, S. & Vidal, M. E., 12 Jul 2024, In: IEEE ACCESS. 12, p. 96821-96847 27 p.

    Research output: Contribution to journalArticleResearchpeer review

  8. Published

    Monitoring and Decision Support in Treatment Modalities for Lung Cancer

    Gonzalez, A. R., Menasalvas, E., Aisopos, F., Vogiatzis, D., Krithara, A., Paliouras, G., Jozashoori, S., Rivas, A., Sakor, A., Vidal, M. E., Torrente, M., Pulla, M. P., Trinatafyllou, A. & Dalianis, A., 8 Jul 2024, Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment. Now Publishers Inc, p. 197-207 11 p.

    Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

  9. Published

    Results for Knowledge Graph Creation Challenge 2024: SDM-RDFizer

    Iglesias, E. & Vidal, M. E., 3 Jul 2024, Knowledge Graph Construction 2024: Proceedings of the 5th International Workshop on Knowledge Graph Construction. 5 p. (CEUR Workshop Proceedings; vol. 3718).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  10. Published

    Data Augmentation for Supervised Code Translation Learning

    Chen, B., Golebiowski, J. & Abedjan, Z., 2 Jul 2024, 2024 IEEE/ACM 21st International Conference on Mining Software Repositories: MSR 2024. p. 444-456 13 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  11. Published

    AutoML in Heavily Constrained Applications

    Neutatz, F., Lindauer, M. & Abedjan, Z., Jul 2024, In: VLDB Journal. 33, 4, p. 957–979 23 p.

    Research output: Contribution to journalArticleResearchpeer review

  12. Published

    A computational framework based on the dynamic pipeline approach

    Pasarella, E., Vidal, M. E., Zoltan, C. & Royo Sales, J. P., Jun 2024, In: Journal of Logical and Algebraic Methods in Programming. 139, 21 p., 100966.

    Research output: Contribution to journalArticleResearchpeer review

  13. Published

    Learning analytics and the Universal Design for Learning (UDL): A clustering approach

    Roski, M., Jagan Sebastian, R., Ewerth, R., Hoppe, A. & Nehring, A., Jun 2024, In: Computers & education. 214, 105028.

    Research output: Contribution to journalArticleResearchpeer review

  14. E-pub ahead of print

    Model-free reinforcement learning with noisy actions for automated experimental control in optics

    Richtmann, L., Schmiesing, V., Wilken, D., Heine, J., Tranter, A., Anand, A., Osborne, T. J. & Heurs, M., 24 May 2024, (E-pub ahead of print).

    Research output: Working paper/PreprintPreprint

  15. Published

    Towards Data Augmentation for Supervised Code Translation

    Chen, B., Golebiowski, J. & Abedjan, Z., 23 May 2024, Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings. IEEE Computer Society, p. 352-353 2 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  16. Published

    KGSaw: One Size Does Not Fit All- Planning Methods for Data Fragmentation for Efficiently Creating Knowledge Graphs

    Iglesias, E. & Vidal, M. E., 21 May 2024, SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing. p. 1668-1670 3 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  17. Published

    Tracing the Impact of Bias in Link Prediction

    Russo, M., Sawischa, S. F. & Vidal, M. E., 21 May 2024, SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing. p. 1626-1633 8 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  18. Published

    Learning Action Embeddings for Off-Policy Evaluation

    Cief, M., Golebiowski, J., Schmidt, P., Abedjan, Z. & Bekasov, A., 20 Mar 2024, Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024. Goharian, N., Tonellotto, N., He, Y., Lipani, A., McDonald, G., Macdonald, C. & Ounis, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 108-122 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14608 LNCS).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  19. Published

    Exploring Data Mining in Chemistry Education: Building a Web-Based Learning Platform for Learning Analytics

    Roski, M., Ewerth, R., Hoppe, A. & Nehring, A., 12 Mar 2024, In: Journal of Chemical Education. 101, 3, p. 930-940 11 p.

    Research output: Contribution to journalArticleResearchpeer review

  20. Published

    Studying bias in visual features through the lens of optimal transport

    Fabbrizzi, S., Zhao, X., Krasanakis, E., Papadopoulos, S. & Ntoutsi, E., Jan 2024, In: Data Mining and Knowledge Discovery. 38, p. 281–312 32 p.

    Research output: Contribution to journalArticleResearchpeer review

  21. Published

    TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning.

    Badar, M., Sikdar, S., Nejdl, W. & Fisichella, M., 2024, ECAI. p. 2370-2377 8 p. ( Frontiers in Artificial Intelligence and Applications; vol. 392).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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