Publications
2025
- 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
- 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
- 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
- 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. 350–363Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
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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
2024
- 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
- 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
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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
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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
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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
Multi-Robot Motion and Task Planning in Automotive Production Using Controller-based Safe Reinforcement Learning
Wete, E., Greenyer, J., Kudenko, D. & Nejdl, W., 6 May 2024, AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. Dastani, M. & Sichman, J. S. (eds.). p. 1928-1937 10 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Model-based analysis of cure-induced stresses for a short fiber-reinforced epoxy adhesive used in wind turbine rotor blades
Holst, T., 10 Apr 2024, Hannover. 232 p.Research output: Thesis › Doctoral thesis
- 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
KG-EmpiRE: A Community-Maintainable Knowledge Graph of Empirical Research in Requirements Engineering
Karras, O., Wernlein, F., Klünder, J. & Auer, S., 26 Feb 2024, Software Engineering 2024 - Proceedings. Rabiser, R., Wimmer, M., Groher, I., Wortmann, A. & Wiesmayr, B. (eds.). Gesellschaft fur Informatik (GI), p. 49-50 2 p. (Lecture Notes in Informatics (LNI); vol. P-343).Research output: Chapter in book/report/conference proceeding › Conference contribution › 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
Fairness-aware machine learning in educational data mining
Le Quy, T., 2024, Hannover. 139 p.Research output: Thesis › Doctoral thesis
- Published
Model-based analysis of cure-induced stresses for a short fiber-reinforced epoxy adhesive used in wind turbine rotor blades
Holst, T., 2024, Stuttgart. 232 p.Research output: Book/Report › Monograph › Research › peer review
- Published
Ontologies in engineering mathematics research
Peters, J., Hoppe, A., Ewerth, R. & Hochmuth, R., 2024, INDRUM2024 Proceedings: Fifth conference of the International Network for Didactic Research in University Mathematics. González-Martín, A. S., Gueudet, G., Florensa, I. & Lombard, N. (eds.). Barcelona, p. 535-536Research output: Chapter in book/report/conference proceeding › Conference abstract › 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 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings. Endriss, U., Melo, F. S., Bach, K., Bugarin-Diz, A., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). 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
2023
- Published
Perspectives and Potentials of Open Data for the Sports Sciences: The “What”, the “Why” and the “Wow”
Krüger, M., Biniossek, C., Betz, D. & Stocker, M. A., Oct 2023, In: Zeitschrift für Sportpsychologie (online). 30, 4, p. 167-176 10 p.Research output: Contribution to journal › Article › Research › peer review
- Published
Multi-fair Capacitated Students-Topics Grouping Problem
Quy, T. L., Friege, G. & Ntoutsi, E., 27 May 2023, Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Proceedings. Kashima, H., Ide, T. & Peng, W.-C. (eds.). p. 507–519 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13935 LNCS).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- E-pub ahead of print
A Review of the Role of Causality in Developing Trustworthy AI Systems
Ganguly, N., Fazlija, D., Badar, M., Fisichella, M., Sikdar, S., Schrader, J., Wallat, J., Rudra, K., Koubarakis, M., Patro, G. K., Zai El Amri, W. & Nejdl, W., 2023, (E-pub ahead of print) (ACM Computing Surveys).Research output: Working paper/Preprint › Preprint
- Published
Data quality assurance in the research process using the example of tensile tests
Mohnfeld, N., Muller, L., Wawer, M. L., Uhe, J., Koepler, O., Auer, S., Lachmeyer, R. & Mozgova, I., 2023, DS 125: Proceedings of the 34th Symposium Design for X (DFX2023). p. 143-152Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Divide and Conquer the EmpiRE: A Community-Maintainable Knowledge Graph of Empirical Research in Requirements Engineering
Karras, O., Wernlein, F., Klunder, J. & Auer, S., 2023, 2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2023. IEEE Computer Society, (International Symposium on Empirical Software Engineering and Measurement).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Enhancing Interpretability of Machine Learning Models over Knowledge Graphs
Chudasama, Y., Purohit, D., Rohde, P. D. & Vidal, M. E., 2023, SEMPDS 2023: Posters and Demos at SEMANTiCS 2023. 5 p. (CEUR Workshop Proceedings; vol. 3526).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
How Learnweb Can Support Science Education Research on Climate Change in Social Media
Upadhyaya, A., Pfeiffer, C., Astappiev, O., Marenzi, I., Lenzer, S., Nehring, A. & Fisichella, M., 2023, Methodologies and Intelligent Systems for Technology Enhanced Learning, 12th International Conference . Temperini, M., Scarano, V., Marenzi, I., Kravcik, M., Popescu, E., Lanzilotti, R., Gennari, R., De La Prieta, F., Di Mascio, T. & Vittorini, P. (eds.). Cham, p. 149-154 6 p. (Lecture Notes in Networks and Systems; vol. 580 LNNS).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review