Publications
- 2024
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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 proceeding › Conference contribution › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review
- 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 journal › Article › Research › peer review
- 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 journal › Article › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review