{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:24Z","timestamp":1750220844635,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T00:00:00Z","timestamp":1569369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,9,25]]},"DOI":"10.1145\/3342428.3342671","type":"proceedings-article","created":{"date-parts":[[2019,8,16]],"date-time":"2019-08-16T19:51:28Z","timestamp":1565985088000},"page":"7-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Qualitative Activity Recognition using Machine and Deep Learning"],"prefix":"10.1145","author":[{"given":"Norman","family":"Riedel","sequence":"first","affiliation":[{"name":"University of Bielefeld, Bielefeld, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessia","family":"Angeli","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Bologna, Bologna, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gustavo","family":"Marfia","sequence":"additional","affiliation":[{"name":"Department for Life Quality Studies, University of Bologna, Bologna, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,9,25]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2019. Ludwig Deep Learning. https:\/\/uber.github.io\/ludwig\/  2019. Ludwig Deep Learning. https:\/\/uber.github.io\/ludwig\/"},{"key":"e_1_3_2_1_2_1","volume-title":"Tensorflow: A system for large-scale machine learning. In 12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 16). 265--283.","author":"Abadi Mart\u00edn","year":"2016","unstructured":"Mart\u00edn Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , 2016 . Tensorflow: A system for large-scale machine learning. In 12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 16). 265--283. Mart\u00edn Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. Tensorflow: A system for large-scale machine learning. In 12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 16). 265--283."},{"volume-title":"Road crossing recognition through smartphone's accelerometer. In 2011 IFIP Wireless Days (WD)","author":"Bujari Armir","key":"e_1_3_2_1_3_1","unstructured":"Armir Bujari , Bogdan Licar , and Claudio E Palazzi . 2011. Road crossing recognition through smartphone's accelerometer. In 2011 IFIP Wireless Days (WD) . IEEE , 1--3. Armir Bujari, Bogdan Licar, and Claudio E Palazzi. 2011. Road crossing recognition through smartphone's accelerometer. In 2011 IFIP Wireless Days (WD). IEEE, 1--3."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC.2012.6181029"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835459"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/VLHCC.2016.7739669"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolmodel.2012.03.001"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/2567709.2567736"},{"key":"e_1_3_2_1_9_1","volume-title":"European Conference on Principles of Data Mining and Knowledge Discovery. Springer, 537--539","author":"Dem\u0161ar Janez","year":"2004","unstructured":"Janez Dem\u0161ar , Bla\u017e Zupan , Gregor Leban , and Tomaz Curk . 2004 . Orange: From experimental machine learning to interactive data mining . In European Conference on Principles of Data Mining and Knowledge Discovery. Springer, 537--539 . Janez Dem\u0161ar, Bla\u017e Zupan, Gregor Leban, and Tomaz Curk. 2004. Orange: From experimental machine learning to interactive data mining. In European Conference on Principles of Data Mining and Knowledge Discovery. Springer, 537--539."},{"key":"e_1_3_2_1_10_1","volume-title":"Oh Shu Lih, and U Rajendra Acharya.","author":"Faust Oliver","year":"2018","unstructured":"Oliver Faust , Yuki Hagiwara , Tan Jen Hong , Oh Shu Lih, and U Rajendra Acharya. 2018 . Deep learning for healthcare applications based on physiological signals: A review. Computer methods and programs in biomedicine 161 (2018), 1--13. Oliver Faust, Yuki Hagiwara, Tan Jen Hong, Oh Shu Lih, and U Rajendra Acharya. 2018. Deep learning for healthcare applications based on physiological signals: A review. Computer methods and programs in biomedicine 161 (2018), 1--13."},{"key":"e_1_3_2_1_11_1","volume-title":"An On-Going Framework for Easily Experimenting with Deep Learning Models for Bioimaging Analysis. In International Symposium on Distributed Computing and Artificial Intelligence. Springer, 330--333","author":"Garc\u00eda Manuel","year":"2018","unstructured":"Manuel Garc\u00eda , C\u00e9sar Dom\u00ednguez , J\u00f3nathan Heras , Eloy Mata , and Vico Pascual . 2018 . An On-Going Framework for Easily Experimenting with Deep Learning Models for Bioimaging Analysis. In International Symposium on Distributed Computing and Artificial Intelligence. Springer, 330--333 . Manuel Garc\u00eda, C\u00e9sar Dom\u00ednguez, J\u00f3nathan Heras, Eloy Mata, and Vico Pascual. 2018. An On-Going Framework for Easily Experimenting with Deep Learning Models for Bioimaging Analysis. In International Symposium on Distributed Computing and Artificial Intelligence. Springer, 330--333."},{"key":"e_1_3_2_1_12_1","volume-title":"Workshop on Automatic Machine Learning. 21--30","author":"Guyon Isabelle","year":"2016","unstructured":"Isabelle Guyon , Imad Chaabane , Hugo Jair Escalante , Sergio Escalera , Damir Jajetic , James Robert Lloyd , N\u00faria Maci\u00e0 , Bisakha Ray , Lukasz Romaszko , Mich\u00e8le Sebag , 2016 . A brief review of the ChaLearn AutoML challenge: any-time any-dataset learning without human intervention . In Workshop on Automatic Machine Learning. 21--30 . Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante, Sergio Escalera, Damir Jajetic, James Robert Lloyd, N\u00faria Maci\u00e0, Bisakha Ray, Lukasz Romaszko, Mich\u00e8le Sebag, et al. 2016. A brief review of the ChaLearn AutoML challenge: any-time any-dataset learning without human intervention. In Workshop on Automatic Machine Learning. 21--30."},{"key":"e_1_3_2_1_13_1","volume-title":"Machine learning: Trends, perspectives, and prospects. Science 349, 6245","author":"Jordan Michael I","year":"2015","unstructured":"Michael I Jordan and Tom M Mitchell . 2015. Machine learning: Trends, perspectives, and prospects. Science 349, 6245 ( 2015 ), 255--260. Michael I Jordan and Tom M Mitchell. 2015. Machine learning: Trends, perspectives, and prospects. Science 349, 6245 (2015), 255--260."},{"volume-title":"Deep Learning with Python","author":"Ketkar Nikhil","key":"e_1_3_2_1_14_1","unstructured":"Nikhil Ketkar . 2017. Introduction to keras . In Deep Learning with Python . Springer , 97--111. Nikhil Ketkar. 2017. Introduction to keras. In Deep Learning with Python. Springer, 97--111."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-8749.2002.tb00282.x"},{"key":"e_1_3_2_1_16_1","volume-title":"A survey on human activity recognition using wearable sensors","author":"Lara Oscar D","year":"2013","unstructured":"Oscar D Lara and Miguel A Labrador . 2013. A survey on human activity recognition using wearable sensors . IEEE communications surveys & tutorials 15, 3 ( 2013 ), 1192--1209. Oscar D Lara and Miguel A Labrador. 2013. A survey on human activity recognition using wearable sensors. IEEE communications surveys & tutorials 15, 3 (2013), 1192--1209."},{"key":"e_1_3_2_1_17_1","volume-title":"Deep learning. nature 521, 7553","author":"LeCun Yann","year":"2015","unstructured":"Yann LeCun , Yoshua Bengio , and Geoffrey Hinton . 2015. Deep learning. nature 521, 7553 ( 2015 ), 436. Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015. Deep learning. nature 521, 7553 (2015), 436."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-3469-0"},{"key":"e_1_3_2_1_19_1","unstructured":"Piero Molino Yaroslav Dudin and Sai Sumanth Miryala. 2019. Ludwig Deep Learning. https:\/\/eng.uber.com\/introducing-ludwig\/  Piero Molino Yaroslav Dudin and Sai Sumanth Miryala. 2019. Ludwig Deep Learning. https:\/\/eng.uber.com\/introducing-ludwig\/"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.05.251"},{"key":"e_1_3_2_1_21_1","volume-title":"Angel Garc\u00eda Olaya, and Daniel Borrajo","author":"Laguna Javier Ortiz","year":"2011","unstructured":"Javier Ortiz Laguna , Angel Garc\u00eda Olaya, and Daniel Borrajo . 2011 . A Dynamic Sliding Window Approach for Activity Recognition. In User Modeling, Adaption and Personalization, Joseph A. Konstan, Ricardo Conejo, Jos\u00e9 L. Marzo, and Nuria Oliver (Eds.). Springer Berlin Heidelberg , Berlin, Heidelberg, 219--230. Javier Ortiz Laguna, Angel Garc\u00eda Olaya, and Daniel Borrajo. 2011. A Dynamic Sliding Window Approach for Activity Recognition. In User Modeling, Adaption and Personalization, Joseph A. Konstan, Ricardo Conejo, Jos\u00e9 L. Marzo, and Nuria Oliver (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 219--230."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1866218.1866222"},{"key":"e_1_3_2_1_23_1","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","author":"Pedregosa Fabian","year":"2011","unstructured":"Fabian Pedregosa , Ga\u00ebl Varoquaux , Alexandre Gramfort , Vincent Michel , Bertrand Thirion , Olivier Grisel , Mathieu Blondel , Peter Prettenhofer , Ron Weiss , Vincent Dubourg , 2011 . Scikit-learn: Machine learning in Python . Journal of machine learning research 12 , Oct (2011), 2825 -- 2830 . Fabian Pedregosa, Ga\u00ebl Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al. 2011. Scikit-learn: Machine learning in Python. Journal of machine learning research 12, Oct (2011), 2825--2830.","journal-title":"Journal of machine learning research 12"},{"key":"e_1_3_2_1_24_1","unstructured":"Wallace Ugulino Eduardo Velloso and Hugo Fuks. 2019. Human Activity Recognition. http:\/\/groupware.les.inf.puc-rio.br\/har#ixzz34dpS6oks  Wallace Ugulino Eduardo Velloso and Hugo Fuks. 2019. Human Activity Recognition. http:\/\/groupware.les.inf.puc-rio.br\/har#ixzz34dpS6oks"},{"volume-title":"Enterprise interoperability","author":"Van der Aalst Wil MP","key":"e_1_3_2_1_25_1","unstructured":"Wil MP Van der Aalst . 2014. Data scientist: The engineer of the future . In Enterprise interoperability VI. Springer , 13--26. Wil MP Van der Aalst. 2014. Data scientist: The engineer of the future. In Enterprise interoperability VI. Springer, 13--26."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2459236.2459256"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1111\/jbl.12010"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196709.3196729"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2009.32"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2012.05.045"}],"event":{"name":"GoodTechs '19: EAI International Conference on Smart Objects and Technologies for Social Good","sponsor":["EAI The European Alliance for Innovation"],"location":"Valencia Spain","acronym":"GoodTechs '19"},"container-title":["Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3342428.3342671","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3342428.3342671","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:00Z","timestamp":1750202580000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3342428.3342671"}},"subtitle":["Experimenting with Data-Human Interfaces for non Data-scientists"],"short-title":[],"issued":{"date-parts":[[2019,9,25]]},"references-count":30,"alternative-id":["10.1145\/3342428.3342671","10.1145\/3342428"],"URL":"https:\/\/doi.org\/10.1145\/3342428.3342671","relation":{},"subject":[],"published":{"date-parts":[[2019,9,25]]},"assertion":[{"value":"2019-09-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}