{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T14:39:39Z","timestamp":1785335979025,"version":"3.55.0"},"reference-count":15,"publisher":"Polish Information Processing Society","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.15439\/2025f5371","type":"proceedings-article","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T07:44:23Z","timestamp":1761119063000},"page":"381-386","source":"Crossref","is-referenced-by-count":1,"title":["Symbolic vs Black-Box Explanations: A Model-Driven Approach Using Grammatical Evolution"],"prefix":"10.15439","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7746-3781","authenticated-orcid":true,"given":"Dominik","family":"Sepio\u0142o","sequence":"first","affiliation":[{"name":"AGH University of Krakow"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6573-4246","authenticated-orcid":true,"given":"Antoni","family":"Lig\u0119za","sequence":"additional","affiliation":[{"name":"AGH University of Krakow"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"6175","published-online":{"date-parts":[[2025,10,15]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","unstructured":"Arrieta, A. B., D\u00edaz-Rodr\u00edguez, N., Del Ser, J., et al.: Explainable\nArtificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and\nChallenges toward Responsible AI. Information Fusion, Elsevier (2019),\nhttps:\/\/doi.org\/10.1016\/j.inffus.2019.12.012.","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"ref2","doi-asserted-by":"publisher","unstructured":"Guidotti, R., Monreale, A., Ruggieri, S., et al.: A Survey of Methods\nfor Explaining Black Box Models. ACM Computing Surveys 51(5), 1\u201342\n(2019), https:\/\/doi.org\/10.1145\/3236009.","DOI":"10.1145\/3236009"},{"key":"ref3","doi-asserted-by":"publisher","unstructured":"Linardatos, P., Papastefanopoulos, V., Kotsiantis, S.: Explainable AI: A\nReview of Machine Learning Interpretability Methods. Entropy 23(1), 18\n(2021), https:\/\/doi.org\/10.3390\/e23010018.","DOI":"10.3390\/e23010018"},{"key":"ref4","doi-asserted-by":"publisher","unstructured":"Ribeiro, M. T., Singh, S., Guestrin, C.: \"Why Should I Trust You?\":\nExplaining the Predictions of Any Classifier. In: KDD 2016, pp. 1135\u20131144. ACM (2016), https:\/\/doi.org\/10.1145\/2939672.2939778.","DOI":"10.1145\/2939672.2939778"},{"key":"ref5","unstructured":"Lundberg, S. M., Lee, S. I.: A Unified Approach to Interpreting Model\nPredictions. In: Advances in Neural Information Processing Systems 30,\npp. 4765\u20134774 (2017), https:\/\/dl.acm.org\/doi\/10.5555\/3295222.3295230."},{"key":"ref6","doi-asserted-by":"publisher","unstructured":"Sepio\u0142o, D., Lig\u0119za, A.: Towards Explainability of Tree-Based Ensemble Models: A Critical Overview. In: New Advances in Dependability of Networks and Systems, pp. 287\u2013296. Springer (2022),\nhttps:\/\/doi.org\/10.1007\/978-3-031-06746-4_28.","DOI":"10.1007\/978-3-031-06746-4_28"},{"key":"ref7","doi-asserted-by":"publisher","unstructured":"Rudin, C.: Stop Explaining Black Box Machine Learning Models for High\nStakes Decisions and Use Interpretable Models Instead. Nature Machine\nIntelligence 1(5), 206\u2013215 (2019), https:\/\/doi.org\/10.1038\/s42256-019-0048-x.","DOI":"10.1038\/s42256-019-0048-x"},{"key":"ref8","doi-asserted-by":"publisher","unstructured":"Lig\u02db eza, A., et al.: Explainable Artificial Intelligence. Model Discovery\nwith Constraint Programming. In: ISMIS 2020, Springer, pp. 171\u2013191\n(2020), https:\/\/doi.org\/10.1007\/978-3-030-67148-8_13.","DOI":"10.1007\/978-3-030-67148-8_13"},{"key":"ref9","doi-asserted-by":"publisher","unstructured":"Hu, T.: Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics? In: Genetic and Evolutionary Computation,\nSpringer, pp. 63\u201377 (2020), https:\/\/doi.org\/10.1007\/978-3-030-39958-0_4.","DOI":"10.1007\/978-3-030-39958-0_4"},{"key":"ref10","doi-asserted-by":"publisher","unstructured":"Ryan, C., O\u2019Neill, M., Collins, J. J. (eds.): Handbook of Grammatical\nEvolution. Springer (2018), https:\/\/doi.org\/10.1007\/978-3-319-78717-6.","DOI":"10.1007\/978-3-319-78717-6"},{"key":"ref11","doi-asserted-by":"publisher","unstructured":"Sepio\u0142o, D., Lig\u0119za, A.: Towards Model-Driven Explainable Artificial\nIntelligence. An Experiment with Shallow Methods Versus Grammatical\nEvolution. In: ECAI 2023 Workshops, Springer, pp. 360\u2013365 (2024),\nhttps:\/\/doi.org\/10.1007\/978-3-031-50485-3_36.","DOI":"10.1007\/978-3-031-50485-3_36"},{"key":"ref12","doi-asserted-by":"publisher","unstructured":"Orzechowski, P., La Cava, W., Moore, J.H.: Where Are We Now? A\nLarge Benchmark Study of Recent Symbolic Regression Methods. IN:\nGECCO \u201918: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, pp. 1183\u20131190\n(2018), https:\/\/doi.org\/10.1145\/3205455.3205539.","DOI":"10.1145\/3205455.3205539"},{"key":"ref13","doi-asserted-by":"publisher","unstructured":"Sepio\u0142o, D., Lig\u0119za, A.: Towards Model-Driven Explainable Artificial\nIntelligence: Function Identification with Grammatical Evolution. IN:\nApplied Sciences 14, 5950, (2024), https:\/\/doi.org\/10.3390\/app14135950.","DOI":"10.3390\/app14135950"},{"key":"ref14","doi-asserted-by":"publisher","unstructured":"Tsoulos, I. G., Tzallas, A., Karvounis, E.: Using Optimization Techniques in Grammatical Evolution. In: Future Internet, 16, 172, (2024),\nhttps:\/\/doi.org\/10.3390\/fi16050172.","DOI":"10.3390\/fi16050172"},{"key":"ref15","doi-asserted-by":"publisher","unstructured":"Lig\u0119za, A.: An experiment in causal structure discovery. A constraint\nprogramming approach. In: In: ISMIS 2017, Springer, pp. 261-268 (2017),\nhttps:\/\/doi.org\/10.1007\/978-3-319-60438-1_26.","DOI":"10.1007\/978-3-319-60438-1_26"}],"event":{"name":"20th Conference on Computer Science and Intelligence Systems (FedCSIS)","theme":"Computer Science and Intelligence Systems","location":"Krak\u00f3w, Poland","acronym":"FedCSIS","number":"20","start":{"date-parts":[[2025,9,14]]},"end":{"date-parts":[[2025,9,17]]}},"container-title":["Annals of Computer Science and Information Systems","Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)"],"original-title":[],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T07:48:01Z","timestamp":1761119281000},"score":1,"resource":{"primary":{"URL":"https:\/\/annals-csis.org\/Volume_43\/drp\/5371.html"}},"subtitle":[],"proceedings-subject":"Computer Science and Information Systems","short-title":[],"issued":{"date-parts":[[2025,10,15]]},"references-count":15,"URL":"https:\/\/doi.org\/10.15439\/2025f5371","relation":{},"ISSN":["2300-5963"],"issn-type":[{"value":"2300-5963","type":"print"}],"subject":[],"published":{"date-parts":[[2025,10,15]]}}}