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Institute of Data Science

Organisational unit: Institute

Type of address: Visitor addres
Appelstraße 4
30167
Hannover
1 - 20 out of 231Page size: 20
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Publications

  1. 2025

  2. Published

    NSSC: a neuro-symbolic AI system for enhancing accuracy of named entity recognition and linking from oncologic clinical notes

    García-Barragán, Á., Sakor, A., Vidal, M. E., Menasalvas, E., Gonzalez, J. C. S., Provencio, M. & Robles, V., Mar 2025, In: Medical and Biological Engineering and Computing. 63, p. 749–772 24 p.

    Research output: Contribution to journal › Article › Research › peer review

  3. Published

    Towards Interpretable Hybrid AI: Integrating Knowledge Graphs and Symbolic Reasoning in Medicine

    Chudasama, Y., Huang, H., Purohit, D. & Vidal, M. E., 13 Jan 2025, In: IEEE ACCESS. 13, p. 39489 - 39509 22 p.

    Research output: Contribution to journal › Article › Research › peer review

  4. Published

    Integrating Knowledge Graphs with Symbolic AI: The Path to Interpretable Hybrid AI Systems in Medicine

    Vidal, M. E., Chudasama, Y., Huang, H., Purohit, D. & Torrente, M., Jan 2025, In: Journal of Web Semantics. 84, 8 p., 100856.

    Research output: Contribution to journal › Article › Research › peer review

  5. Published

    How Green is AutoML for Tabular Data?

    Neutatz, F., Lindauer, M. & Abedjan, Z., 2025, Proceedings 28th International Conference on Extending Database Technology ( EDBT 2025 ). p. 350–363

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  6. Published

    SemMatch: Semantics-Aware Matching for Causal Inference over Knowledge Graphs

    Huang, H. & Vidal, M. E., 2025, Web Information Systems Engineering : WISE 2024 - 25th International Conference, Proceedings. Barhamgi, M., Wang, H. & Wang, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 467-483 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15437 LNCS).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  7. 2024

  8. Published

    Fragmenting Data Strategies to Scale Up the Knowledge Graph Creation

    Iglesias, E., Sakor, A., Rohde, P. D., Janev, V. & Vidal, M. E., 29 Dec 2024, Semantic Intelligence : Select Proceedings of ISIC 2023. Jain, S., Mihindukulasooriya, N., Janev, V. & Shimizu, C. M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 11-23 13 p. (Lecture Notes in Electrical Engineering; vol. 1258).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  9. Published

    A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient

    Ríos-Sánchez, B., Vigueras, G., García, A., Gómez-Bravo, D., Menasalvas, E., Torrente, M., Parejo, C., Aisopos, F., Vogiatzis, D., Purohit, D., Provencio, M., Vidal, M. E. & Rodríguez-González, A., Dec 2024, In: Data in Brief. 57, 7 p., 111167.

    Research output: Contribution to journal › Article › Research › peer review

  10. 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 journal › Article › Research › peer review

  11. 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 journal › Article › Research › peer review

  12. 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 proceeding › Conference contribution › Research › peer review

  13. 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 proceeding › Conference contribution › Research › peer review

  14. 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 proceeding › Conference contribution › Research › peer review

  15. 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 journal › Article › Research › peer review

  16. 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 proceeding › Contribution to book/anthology › Research › peer review

  17. 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 proceeding › Conference contribution › Research › peer review

  18. 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 proceeding › Conference contribution › Research › peer review

  19. 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 journal › Article › Research › peer review

  20. 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 journal › Article › Research › peer review

  21. 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 journal › Article › Research › peer review

  22. 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/Preprint › Preprint

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