{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T20:01:50Z","timestamp":1759694510114},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7]]},"abstract":"<jats:p>In the last few years, we have been witnessing the increasing deployment of machine learning-based systems, which act as black boxes whose behaviour is hidden to end-users. As a side-effect, this contributes to increasing the need for explainable methods and tools to support the coordination between humans and ML models towards collaborative decision-making. In this paper, we demonstrate ContrXT, a novel tool that computes the differences in the classification logic of two distinct trained models, reasoning on their symbolic representation through Binary Decision Diagrams.\n\nContrXT is available as a pip package and API.<\/jats:p>","DOI":"10.24963\/ijcai.2022\/858","type":"proceedings-article","created":{"date-parts":[[2022,7,16]],"date-time":"2022-07-16T02:55:56Z","timestamp":1657940156000},"page":"5936-5939","source":"Crossref","is-referenced-by-count":5,"title":["The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers"],"prefix":"10.24963","author":[{"given":"Lorenzo","family":"Malandri","sequence":"first","affiliation":[{"name":"Dept of Statistics and Quantitative Methods"},{"name":"CRISP Research Centre"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"Mercorio","sequence":"additional","affiliation":[{"name":"Dept of Statistics and Quantitative Methods"},{"name":"CRISP Research Centre"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario","family":"Mezzanzanica","sequence":"additional","affiliation":[{"name":"Dept of Statistics and Quantitative Methods"},{"name":"CRISP Research Centre"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Navid","family":"Nobani","sequence":"additional","affiliation":[{"name":"Dept of Informatics, Systems and Communication"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrea","family":"Seveso","sequence":"additional","affiliation":[{"name":"Dept of Informatics, Systems and Communication"},{"name":"CRISP Research Centre"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"31","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2022","name":"Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}","start":{"date-parts":[[2022,7,23]]},"theme":"Artificial Intelligence","location":"Vienna, Austria","end":{"date-parts":[[2022,7,29]]}},"container-title":["Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T11:11:57Z","timestamp":1658142717000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2022\/858"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2022\/858","relation":{},"subject":[],"published":{"date-parts":[[2022,7]]}}}