{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:47:28Z","timestamp":1742914048623,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031585555"},{"type":"electronic","value":"9783031585531"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-58553-1_19","type":"book-chapter","created":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T20:22:45Z","timestamp":1713212565000},"page":"236-248","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Frank System for\u00a0Co-Evolutionary Hybrid Decision-Making"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-6961-7495","authenticated-orcid":false,"given":"Federico","family":"Mazzoni","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2827-7613","authenticated-orcid":false,"given":"Riccardo","family":"Guidotti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2601-7009","authenticated-orcid":false,"given":"Alessio","family":"Malizia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,16]]},"reference":[{"key":"19_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/978-3-642-03915-7_22","volume-title":"Advances in Intelligent Data Analysis VIII","author":"A Bifet","year":"2009","unstructured":"Bifet, A., Gavald\u00e0, R.: Adaptive learning from evolving data streams. In: Adams, N.M., Robardet, C., Siebes, A., Boulicaut, J.-F. (eds.) IDA 2009. LNCS, vol. 5772, pp. 249\u2013260. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-03915-7_22"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Binns, R.: On the apparent conflict between individual and group fairness. In: FAT*, pp. 514\u2013524. ACM (2020)","DOI":"10.1145\/3351095.3372864"},{"key":"19_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/978-3-030-29726-8_2","volume-title":"Machine Learning and Knowledge Extraction","author":"A Blanco-Justicia","year":"2019","unstructured":"Blanco-Justicia, A., Domingo-Ferrer, J.: Machine learning explainability through comprehensible decision trees. In: Holzinger, A., Kieseberg, P., Tjoa, A.M., Weippl, E. (eds.) CD-MAKE 2019. LNCS, vol. 11713, pp. 15\u201326. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-29726-8_2"},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Bontempelli, A.,Teso, S., et\u00a0al.: Learning in the wild with incremental skeptical gaussian processes. In: IJCAI, pp. 2886\u20132892 (2020). ijcai.org","DOI":"10.24963\/ijcai.2020\/399"},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"Domingos, P., et\u00a0al.: Mining high-speed data streams. In: KDD, p.\u00a071. ACM (2000)","DOI":"10.1145\/347090.347107"},{"key":"19_CR6","doi-asserted-by":"publisher","unstructured":"Guidotti, R.: Counterfactual explanations and how to find them: literature review and benchmarking. Data Min. Knowl. Disc. 1\u201355 (2022). https:\/\/doi.org\/10.1007\/s10618-022-00831-6","DOI":"10.1007\/s10618-022-00831-6"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Guidotti, R., Monreale, A., Ruggieri, S., et\u00a0al.: A survey of methods for explaining black box models. ACM CSUR 51(5), 93:1\u201393:42 (2019)","DOI":"10.1145\/3236009"},{"key":"19_CR8","doi-asserted-by":"crossref","unstructured":"H\u00fcllermeier, E., Waegeman, W.: Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods. ML 110(3), 457\u2013506 (2021)","DOI":"10.1007\/s10994-021-05946-3"},{"key":"19_CR9","unstructured":"Jarrett, D., et\u00a0al.: Online decision mediation. In: NeurIPS (2022)"},{"key":"19_CR10","unstructured":"Joshi, S., Parbhoo, S., Doshi-Velez, F.: Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty. CoRR, abs\/2109.06312 (2021)"},{"key":"19_CR11","unstructured":"Kamiran, F., Calders, T.: Classification with no discrimination by preferential sampling. In: BNAIC, vol.\u00a01. Citeseer (2010)"},{"issue":"7","key":"19_CR12","first-page":"3366","volume":"44","author":"MD Lange","year":"2022","unstructured":"Lange, M.D., et al.: A continual learning survey: defying forgetting in classification tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7), 3366\u20133385 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Manapragada, C., Webb, G.I., Salehi, M.: Extremely fast decision tree. In: KDD, pp. 1953\u20131962. ACM (2018)","DOI":"10.1145\/3219819.3220005"},{"key":"19_CR14","doi-asserted-by":"publisher","unstructured":"Mazzoni, F., Manerba, M.M., Cinquini, M., Guidotti, R., Ruggieri, S.: GenFair: A genetic fairness-enhancing data generation framework. In: Bifet, A., Lorena, A.C., Ribeiro, R.P., Gama, J., Abreu, P.H. (eds.) Discovery Science, DS 2023, LNCS, vol. 14276, pp. 356\u2013371. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-45275-8_24","DOI":"10.1007\/978-3-031-45275-8_24"},{"key":"19_CR15","unstructured":"Mosier, K.L., et\u00a0al.: Human decision makers and automated decision aids: made for each other? In: Automation and Human Performance, pp. 201\u2013220. CRC (2018)"},{"key":"19_CR16","doi-asserted-by":"crossref","unstructured":"Pessach, D., Shmueli, E.: A review on fairness in machine learning. ACM CSUR 55(3), 51:1\u201351:44 (2023)","DOI":"10.1145\/3494672"},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Quy, T.L., et\u00a0al.: A survey on datasets for fairness-aware machine learning. WIREs Data Mining Knowl. Discov. 12(3), e1452 (2022)","DOI":"10.1002\/widm.1452"},{"key":"19_CR18","unstructured":"Tan, P.-N., et\u00a0al.: Introduction to Data Mining. Pearson Education India, Chennai (2016)"},{"key":"19_CR19","unstructured":"Teso, S., Bontempelli, A., Giunchiglia, F., Passerini, A.: Interactive label cleaning with example-based explanations. In: NeurIPS, pp. 12966\u201312977 (2021)"},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Verma, S., et\u00a0al.: Fairness definitions explained. In: ICSE, pp. 1\u20137. ACM (2018)","DOI":"10.1145\/3194770.3194776"},{"key":"19_CR21","unstructured":"Wang, L., et\u00a0al.: A comprehensive survey of continual learning: theory, method and application. CoRR, abs\/2302.00487 (2023)"},{"key":"19_CR22","unstructured":"Wang, T., Saar-Tsechansky, M.: Augmented fairness: an interpretable model augmenting decision-makers\u2019 fairness. CoRR, abs\/2011.08398 (2020)"},{"key":"19_CR23","doi-asserted-by":"crossref","unstructured":"Zeni, M., et\u00a0al.: Fixing mislabeling by human annotators leveraging conflict resolution and prior knowledge. ACM IMWUT 3(1), 32:1\u201332:23 (2019)","DOI":"10.1145\/3314419"},{"key":"19_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, W.: Personal context recognition via skeptical learning. In: IJCAI, pp. 6482\u20136483 (2019). ijcai.org","DOI":"10.24963\/ijcai.2019\/930"}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Data Analysis XXII"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-58553-1_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T23:03:52Z","timestamp":1713481432000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-58553-1_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031585555","9783031585531"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-58553-1_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"16 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Intelligent Data Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Stockholm","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 April 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 April 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ida2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ida2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}