{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T17:55:38Z","timestamp":1770832538550,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"German Federal Ministry for Economic Affairs and Energy"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,14]]},"DOI":"10.1145\/3486622.3493942","type":"proceedings-article","created":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T01:18:53Z","timestamp":1649899133000},"page":"310-317","source":"Crossref","is-referenced-by-count":3,"title":["Combining Machine Learning With Inductive Logic Learning To Detect Deviations From Daily Routines In Ambient Intelligent Environments"],"prefix":"10.1145","author":[{"given":"Benjamin","family":"Duppe","sequence":"first","affiliation":[{"name":"German Research Center for Artificial Intelligence, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Meiser","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Anisimov","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9","family":"Antakli","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Muaz","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ingo","family":"Zinnikus","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,4,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Henk Aarts and Ap Dijksterhuis. 2000. Habits as knowledge structures: Automaticity in goal-directed behavior.Journal of Personality and Social Psychology 78 1(2000) 53\u201363. https:\/\/doi.org\/10.1037\/0022-3514.78.1.53  Henk Aarts and Ap Dijksterhuis. 2000. Habits as knowledge structures: Automaticity in goal-directed behavior.Journal of Personality and Social Psychology 78 1(2000) 53\u201363. https:\/\/doi.org\/10.1037\/0022-3514.78.1.53","DOI":"10.1037\/0022-3514.78.1.53"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2013.2262913"},{"key":"e_1_3_2_1_3_1","volume-title":"On the early diagnosis of Alzheimer\u2019s Disease from multimodal signals: A survey. Artificial Intelligence in Medicine 71 (July","author":"Alberdi Ane","year":"2016","unstructured":"Ane Alberdi , Asier Aztiria , and Adrian Basarab . 2016. On the early diagnosis of Alzheimer\u2019s Disease from multimodal signals: A survey. Artificial Intelligence in Medicine 71 (July 2016 ), 1\u201329. https:\/\/doi.org\/10.1016\/j.artmed.2016.06.003 Ane Alberdi, Asier Aztiria, and Adrian Basarab. 2016. On the early diagnosis of Alzheimer\u2019s Disease from multimodal signals: A survey. Artificial Intelligence in Medicine 71 (July 2016), 1\u201329. https:\/\/doi.org\/10.1016\/j.artmed.2016.06.003"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid51090.2021.00080"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5220\/0008163000880099"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-85739-4_3"},{"key":"e_1_3_2_1_7_1","volume-title":"Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks. Artificial intelligence in medicine 94","author":"Arifoglu Damla","year":"2019","unstructured":"Damla Arifoglu and Abdelhamid Bouchachia . 2019. Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks. Artificial intelligence in medicine 94 ( 2019 ), 88\u201395. Damla Arifoglu and Abdelhamid Bouchachia. 2019. Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks. Artificial intelligence in medicine 94 (2019), 88\u201395."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Uabua Bakar Hemant Ghayvat SF Hasanm and Subhas\u00a0Chandra Mukhopadhyay. 2016. Activity and anomaly detection in smart home: A survey. Next Generation Sensors and Systems(2016) 191\u2013220.  Uabua Bakar Hemant Ghayvat SF Hasanm and Subhas\u00a0Chandra Mukhopadhyay. 2016. Activity and anomaly detection in smart home: A survey. Next Generation Sensors and Systems(2016) 191\u2013220.","DOI":"10.1007\/978-3-319-21671-3_9"},{"key":"e_1_3_2_1_9_1","volume-title":"Behavior trees in robotics and AI: An introduction","author":"Colledanchise Michele","unstructured":"Michele Colledanchise and Petter \u00d6gren . 2018. Behavior trees in robotics and AI: An introduction . CRC Press . Michele Colledanchise and Petter \u00d6gren. 2018. Behavior trees in robotics and AI: An introduction. CRC Press."},{"key":"e_1_3_2_1_10_1","unstructured":"Andrew Cropper Sebastijan Dumancic Richard Evans and Stephen\u00a0H. Muggleton. 2021. Inductive logic programming at 30. CoRR abs\/2102.10556(2021). arxiv:2102.10556https:\/\/arxiv.org\/abs\/2102.10556  Andrew Cropper Sebastijan Dumancic Richard Evans and Stephen\u00a0H. Muggleton. 2021. Inductive logic programming at 30. CoRR abs\/2102.10556(2021). arxiv:2102.10556https:\/\/arxiv.org\/abs\/2102.10556"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-020-05934-z"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.2307\/3556620"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.07.007"},{"key":"e_1_3_2_1_14_1","unstructured":"Michael Gelfond and Vladimir Lifschitz. 1988. The stable model semantics for logic programming.. In ICLP\/SLP Vol.\u00a088. 1070\u20131080.  Michael Gelfond and Vladimir Lifschitz. 1988. The stable model semantics for logic programming.. In ICLP\/SLP Vol.\u00a088. 1070\u20131080."},{"key":"e_1_3_2_1_15_1","volume-title":"IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 38 (03 2013","author":"Graves Alex","year":"2013","unstructured":"Alex Graves , Abdel-rahman Mohamed, and Geoffrey Hinton . 2013 . Speech Recognition with Deep Recurrent Neural Networks. ICASSP , IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 38 (03 2013 ). https:\/\/doi.org\/10.1109\/ICASSP.2013.6638947 Alex Graves, Abdel-rahman Mohamed, and Geoffrey Hinton. 2013. Speech Recognition with Deep Recurrent Neural Networks. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 38 (03 2013). https:\/\/doi.org\/10.1109\/ICASSP.2013.6638947"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long Short-Term Memory. Neural Computation 9(8)(1997) 1735\u20131780.  Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long Short-Term Memory. Neural Computation 9(8)(1997) 1735\u20131780.","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordjournals.cje.a013692"},{"key":"e_1_3_2_1_18_1","volume-title":"Computational Linguistics, and Speech Recognition","author":"Jurafsky Daniel","unstructured":"Daniel Jurafsky and James\u00a0 H. Martin . 2000. Speech and Language Processing: An Introduction to Natural Language Processing , Computational Linguistics, and Speech Recognition ( 1 st ed.). Prentice Hall PTR , USA. Daniel Jurafsky and James\u00a0H. Martin. 2000. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (1st ed.). Prentice Hall PTR, USA.","edition":"1"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Mark Law Alessandra Russo and Krysia Broda. 2015. The ILASP system for learning Answer Set Programs. www.ilasp.com.  Mark Law Alessandra Russo and Krysia Broda. 2015. The ILASP system for learning Answer Set Programs. www.ilasp.com.","DOI":"10.1007\/978-3-319-11558-0_22"},{"key":"e_1_3_2_1_20_1","unstructured":"Vladimir Lifschitz. 2008. What is answer set programming. In AAAI Vol.\u00a08.  Vladimir Lifschitz. 2008. What is answer set programming. In AAAI Vol.\u00a08."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/116825.116836"},{"key":"e_1_3_2_1_22_1","volume-title":"Inductive logic programming. New generation computing 8, 4","author":"Muggleton Stephen","year":"1991","unstructured":"Stephen Muggleton . 1991. Inductive logic programming. New generation computing 8, 4 ( 1991 ), 295\u2013318. Stephen Muggleton. 1991. Inductive logic programming. New generation computing 8, 4 (1991), 295\u2013318."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-018-5710-8"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-014-5471-y"},{"key":"e_1_3_2_1_25_1","unstructured":"Patrik Simons. 2000. Extending and implementing the stable model semantics. arXiv preprint cs\/0005010(2000).  Patrik Simons. 2000. Extending and implementing the stable model semantics. arXiv preprint cs\/0005010(2000)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557079"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence, Vol.\u00a032","author":"Zhang Chaoyun","year":"2018","unstructured":"Chaoyun Zhang , Mingjun Zhong , Zongzuo Wang , Nigel Goddard , and Charles Sutton . 2018 . Sequence-to-point learning with neural networks for non-intrusive load monitoring . In Proceedings of the AAAI Conference on Artificial Intelligence, Vol.\u00a032 . Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel Goddard, and Charles Sutton. 2018. Sequence-to-point learning with neural networks for non-intrusive load monitoring. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol.\u00a032."}],"event":{"name":"WI-IAT '21: IEEE\/WIC\/ACM International Conference on Web Intelligence","location":"ESSENDON VIC Australia","acronym":"WI-IAT '21","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence"]},"container-title":["IEEE\/WIC\/ACM International Conference on Web Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3486622.3493942","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3486622.3493942","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:06Z","timestamp":1750191126000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3486622.3493942"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,14]]},"references-count":27,"alternative-id":["10.1145\/3486622.3493942","10.1145\/3486622"],"URL":"https:\/\/doi.org\/10.1145\/3486622.3493942","relation":{},"subject":[],"published":{"date-parts":[[2021,12,14]]}}}