{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T14:55:54Z","timestamp":1773154554641,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T00:00:00Z","timestamp":1686096000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nd\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,7]]},"DOI":"10.1145\/3575757.3593649","type":"proceedings-article","created":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T10:07:46Z","timestamp":1684836466000},"page":"143-154","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Scheduling Classifiers for Real-Time Hazard Perception Considering Functional Uncertainty"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3883-7220","authenticated-orcid":false,"given":"Tarek","family":"Abdelzaher","sequence":"first","affiliation":[{"name":"Computer Science, University of Illinois, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4541-3445","authenticated-orcid":false,"given":"Sanjoy","family":"Baruah","sequence":"additional","affiliation":[{"name":"Computer Science &amp; Engineering, Washington University in St. Louis, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2415-8219","authenticated-orcid":false,"given":"Iain","family":"Bate","sequence":"additional","affiliation":[{"name":"Computer Science, University of York, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5621-8816","authenticated-orcid":false,"given":"Alan","family":"Burns","sequence":"additional","affiliation":[{"name":"Computer Science, University of York, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5772-0928","authenticated-orcid":false,"given":"Robert Ian","family":"Davis","sequence":"additional","affiliation":[{"name":"Computer Science, University of York, UK"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5320-9439","authenticated-orcid":false,"given":"Yigong","family":"Hu","sequence":"additional","affiliation":[{"name":"Computer Science, University of Illinois, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,6,7]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Scheduling IDK Classifiers with Arbitrary Dependences to Minimize the Expected Time to Successful Classification. Real-Time Systems (to appear)","author":"Abdelzaher Tarek","year":"2023","unstructured":"Tarek Abdelzaher , Kunal Agrawal , Sanjoy Baruah , Alan Burns , Robert\u00a0 I. Davis , Zhishan Guo , and Yigong Hu. 2023. Scheduling IDK Classifiers with Arbitrary Dependences to Minimize the Expected Time to Successful Classification. Real-Time Systems (to appear) ( 2023 ). https:\/\/www-users.york.ac.uk\/\u00a0rd17\/papers\/IDKarbitrary.pdf Tarek Abdelzaher, Kunal Agrawal, Sanjoy Baruah, Alan Burns, Robert\u00a0I. Davis, Zhishan Guo, and Yigong Hu. 2023. Scheduling IDK Classifiers with Arbitrary Dependences to Minimize the Expected Time to Successful Classification. Real-Time Systems (to appear) (2023). https:\/\/www-users.york.ac.uk\/\u00a0rd17\/papers\/IDKarbitrary.pdf"},{"key":"e_1_3_2_1_2_1","volume-title":"Adaptive Real-Time Routing in Polynomial Time. In IEEE Real-Time Systems Symposium, RTSS 2019","author":"Agrawal Kunal","year":"2019","unstructured":"Kunal Agrawal and Sanjoy\u00a0 K. Baruah . 2019 . Adaptive Real-Time Routing in Polynomial Time. In IEEE Real-Time Systems Symposium, RTSS 2019 , Hong Kong, SAR, China , December 3-6, 2019. IEEE, 287\u2013298. https:\/\/doi.org\/10.1109\/RTSS46320.2019.00034 10.1109\/RTSS46320.2019.00034 Kunal Agrawal and Sanjoy\u00a0K. Baruah. 2019. Adaptive Real-Time Routing in Polynomial Time. In IEEE Real-Time Systems Symposium, RTSS 2019, Hong Kong, SAR, China, December 3-6, 2019. IEEE, 287\u2013298. https:\/\/doi.org\/10.1109\/RTSS46320.2019.00034"},{"key":"e_1_3_2_1_3_1","volume-title":"32nd Euromicro Conference on Real-Time Systems, ECRTS","author":"Agrawal Kunal","year":"2020","unstructured":"Kunal Agrawal , Sanjoy\u00a0 K. Baruah , and Alan Burns . 2020. The Safe and Effective Use of Learning-Enabled Components in Safety-Critical Systems . In 32nd Euromicro Conference on Real-Time Systems, ECRTS 2020 , July 7-10, 2020, Virtual Conference(LIPIcs, Vol .\u00a0165), Marcus V\u00f6lp (Ed.). Schloss Dagstuhl - Leibniz-Zentrum f\u00fcr Informatik , 7:1\u20137:20. https:\/\/doi.org\/10.4230\/LIPIcs.ECRTS.2020.7 10.4230\/LIPIcs.ECRTS.2020.7 Kunal Agrawal, Sanjoy\u00a0K. Baruah, and Alan Burns. 2020. The Safe and Effective Use of Learning-Enabled Components in Safety-Critical Systems. In 32nd Euromicro Conference on Real-Time Systems, ECRTS 2020, July 7-10, 2020, Virtual Conference(LIPIcs, Vol.\u00a0165), Marcus V\u00f6lp (Ed.). Schloss Dagstuhl - Leibniz-Zentrum f\u00fcr Informatik, 7:1\u20137:20. https:\/\/doi.org\/10.4230\/LIPIcs.ECRTS.2020.7"},{"key":"e_1_3_2_1_4_1","volume-title":"2019 8th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE, 1\u20134.","author":"Balaskas Konstantinos","year":"2019","unstructured":"Konstantinos Balaskas and Kostas Siozios . 2019 . ECG analysis and heartbeat classification based on shallow neural networks . In 2019 8th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE, 1\u20134. Konstantinos Balaskas and Kostas Siozios. 2019. ECG analysis and heartbeat classification based on shallow neural networks. In 2019 8th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE, 1\u20134."},{"key":"e_1_3_2_1_5_1","volume-title":"Optimally Ordering IDK Classifiers Subject to Deadlines. Real-Time Systems","author":"Baruah Sanjoy","year":"2022","unstructured":"Sanjoy Baruah , Alan Burns , Robert\u00a0 I. Davis , and Yue Wu. 2022. Optimally Ordering IDK Classifiers Subject to Deadlines. Real-Time Systems ( 2022 ). https:\/\/doi.org\/10.1007\/s11241-022-09383-w 10.1007\/s11241-022-09383-w Sanjoy Baruah, Alan Burns, Robert\u00a0I. Davis, and Yue Wu. 2022. Optimally Ordering IDK Classifiers Subject to Deadlines. Real-Time Systems (2022). https:\/\/doi.org\/10.1007\/s11241-022-09383-w"},{"key":"e_1_3_2_1_6_1","volume-title":"Rapid Routing with Guaranteed Delay Bounds. In 2018 IEEE Real-Time Systems Symposium, RTSS 2018","author":"Baruah K.","year":"2018","unstructured":"Sanjoy\u00a0 K. Baruah . 2018 . Rapid Routing with Guaranteed Delay Bounds. In 2018 IEEE Real-Time Systems Symposium, RTSS 2018 , Nashville, TN, USA , December 11-14, 2018. IEEE Computer Society, 13\u201322. https:\/\/doi.org\/10.1109\/RTSS.2018.00012 10.1109\/RTSS.2018.00012 Sanjoy\u00a0K. Baruah. 2018. Rapid Routing with Guaranteed Delay Bounds. In 2018 IEEE Real-Time Systems Symposium, RTSS 2018, Nashville, TN, USA, December 11-14, 2018. IEEE Computer Society, 13\u201322. https:\/\/doi.org\/10.1109\/RTSS.2018.00012"},{"key":"e_1_3_2_1_7_1","volume-title":"Functional Uncertainty in Real-Time Safety-Critical Systems. In RTNS 2022: The 30th International Conference on Real-Time Networks and Systems","author":"Baruah K.","year":"2022","unstructured":"Sanjoy\u00a0 K. Baruah , Alan Burns , and David Griffin . 2022 . Functional Uncertainty in Real-Time Safety-Critical Systems. In RTNS 2022: The 30th International Conference on Real-Time Networks and Systems , Paris, France, June 7 - 8 , 2022, Yasmina Abdedda\u00efm, Liliana Cucu-Grosjean, Geoffrey Nelissen, and Laurent Pautet (Eds.). ACM, 1\u201311. https:\/\/doi.org\/10.1145\/3534879.3534884 10.1145\/3534879.3534884 Sanjoy\u00a0K. Baruah, Alan Burns, and David Griffin. 2022. Functional Uncertainty in Real-Time Safety-Critical Systems. In RTNS 2022: The 30th International Conference on Real-Time Networks and Systems, Paris, France, June 7 - 8, 2022, Yasmina Abdedda\u00efm, Liliana Cucu-Grosjean, Geoffrey Nelissen, and Laurent Pautet (Eds.). ACM, 1\u201311. https:\/\/doi.org\/10.1145\/3534879.3534884"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3453417.3453425"},{"key":"e_1_3_2_1_9_1","volume-title":"2018 IEEE Real-Time Systems Symposium (RTSS). IEEE, 67\u201379","author":"Bateni Soroush","year":"2018","unstructured":"Soroush Bateni and Cong Liu . 2018 . Apnet: Approximation-aware real-time neural network . In 2018 IEEE Real-Time Systems Symposium (RTSS). IEEE, 67\u201379 . Soroush Bateni and Cong Liu. 2018. Apnet: Approximation-aware real-time neural network. In 2018 IEEE Real-Time Systems Symposium (RTSS). IEEE, 67\u201379."},{"key":"e_1_3_2_1_10_1","volume-title":"2018 IEEE 24th international conference on embedded and real-time computing systems and applications (RTCSA). IEEE, 11\u201321","author":"Bechtel G","year":"2018","unstructured":"Michael\u00a0 G Bechtel , Elise McEllhiney , Minje Kim , and Heechul Yun . 2018 . Deeppicar: A low-cost deep neural network-based autonomous car . In 2018 IEEE 24th international conference on embedded and real-time computing systems and applications (RTCSA). IEEE, 11\u201321 . Michael\u00a0G Bechtel, Elise McEllhiney, Minje Kim, and Heechul Yun. 2018. Deeppicar: A low-cost deep neural network-based autonomous car. In 2018 IEEE 24th international conference on embedded and real-time computing systems and applications (RTCSA). IEEE, 11\u201321."},{"key":"e_1_3_2_1_11_1","volume-title":"Tempe","author":"National Transportation\u00a0Safety Board.","year":"2019","unstructured":"National Transportation\u00a0Safety Board. 2019 . Collision Between Vehicle Controlled by Developmental Automated Driving System and Pedestrian , Tempe , Arizona , March 18, 2018. https:\/\/www.ntsb.gov\/investigations\/accidentreports\/reports\/har1903.pdf National Transportation\u00a0Safety Board. 2019. Collision Between Vehicle Controlled by Developmental Automated Driving System and Pedestrian, Tempe, Arizona, March 18, 2018. https:\/\/www.ntsb.gov\/investigations\/accidentreports\/reports\/har1903.pdf"},{"key":"e_1_3_2_1_12_1","volume-title":"The Bhopal disaster and its aftermath: A review. Environmental health : a global access science source 4 (02","author":"Broughton Edward","year":"2005","unstructured":"Edward Broughton . 2005. The Bhopal disaster and its aftermath: A review. Environmental health : a global access science source 4 (02 2005 ), 6. https:\/\/doi.org\/10.1186\/1476-069X-4-6 10.1186\/1476-069X-4-6 Edward Broughton. 2005. The Bhopal disaster and its aftermath: A review. Environmental health : a global access science source 4 (02 2005), 6. https:\/\/doi.org\/10.1186\/1476-069X-4-6"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 34th International Conference on Machine Learning, ICML 2017","author":"Guo Chuan","year":"2017","unstructured":"Chuan Guo , Geoff Pleiss , Yu Sun , and Kilian\u00a0 Q. Weinberger . 2017 . On Calibration of Modern Neural Networks . In Proceedings of the 34th International Conference on Machine Learning, ICML 2017 , Sydney, NSW, Australia , 6-11 August 2017(Proceedings of Machine Learning Research, Vol.\u00a070), Doina Precup and Yee\u00a0Whye Teh (Eds.). PMLR, 1321\u20131330. http:\/\/proceedings.mlr.press\/v70\/guo17a.html Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian\u00a0Q. Weinberger. 2017. On Calibration of Modern Neural Networks. In Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017(Proceedings of Machine Learning Research, Vol.\u00a070), Doina Precup and Yee\u00a0Whye Teh (Eds.). PMLR, 1321\u20131330. http:\/\/proceedings.mlr.press\/v70\/guo17a.html"},{"key":"e_1_3_2_1_14_1","volume-title":"2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 174\u2013187","author":"Heo Seonyeong","year":"2020","unstructured":"Seonyeong Heo , Sungjun Cho , Youngsok Kim , and Hanjun Kim . 2020 . Real-time object detection system with multi-path neural networks . In 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 174\u2013187 . Seonyeong Heo, Sungjun Cho, Youngsok Kim, and Hanjun Kim. 2020. Real-time object detection system with multi-path neural networks. In 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 174\u2013187."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","first-page":"3906","DOI":"10.1109\/JBHI.2022.3165383","article-title":"DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily Living","volume":"26","author":"Hossain Sanzid\u00a0Bin","year":"2022","unstructured":"Md\u00a0 Sanzid\u00a0Bin Hossain , Joseph Dranetz , Hwan Choi , and Zhishan Guo . 2022 . DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily Living . IEEE Journal of Biomedical and Health Informatics 26 , 8 (2022), 3906 \u2013 3917 . https:\/\/doi.org\/10.1109\/JBHI.2022.3165383 10.1109\/JBHI.2022.3165383 Md\u00a0Sanzid\u00a0Bin Hossain, Joseph Dranetz, Hwan Choi, and Zhishan Guo. 2022. DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily Living. IEEE Journal of Biomedical and Health Informatics 26, 8 (2022), 3906\u20133917. https:\/\/doi.org\/10.1109\/JBHI.2022.3165383","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"e_1_3_2_1_16_1","volume-title":"2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 169\u2013178","author":"Hu Yigong","year":"2021","unstructured":"Yigong Hu , Shengzhong Liu , Tarek Abdelzaher , Maggie Wigness , and Philip David . 2021 . On exploring image resizing for optimizing criticality-based machine perception . In 2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 169\u2013178 . Yigong Hu, Shengzhong Liu, Tarek Abdelzaher, Maggie Wigness, and Philip David. 2021. On exploring image resizing for optimizing criticality-based machine perception. In 2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 169\u2013178."},{"key":"e_1_3_2_1_17_1","volume-title":"International journal of dynamics and control 9, 4","author":"Kangunde Vemema","year":"2021","unstructured":"Vemema Kangunde , Rodrigo\u00a0 S Jamisola , and Emmanuel\u00a0 K Theophilus . 2021. A review on drones controlled in real-time . International journal of dynamics and control 9, 4 ( 2021 ), 1832\u20131846. Vemema Kangunde, Rodrigo\u00a0S Jamisola, and Emmanuel\u00a0K Theophilus. 2021. A review on drones controlled in real-time. International journal of dynamics and control 9, 4 (2021), 1832\u20131846."},{"key":"e_1_3_2_1_18_1","first-page":"16","volume-title":"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016","volume":"10","author":"Khani Fereshte","year":"2016","unstructured":"Fereshte Khani , Martin\u00a0 C. Rinard , and Percy Liang . 2016 . Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings . In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 , August 7-12, 2016, Berlin, Germany , Volume 1: Long Papers. The Association for Computer Linguistics. https:\/\/doi.org\/ 10 .18653\/v1\/p 16 - 1090 10.18653\/v1 Fereshte Khani, Martin\u00a0C. Rinard, and Percy Liang. 2016. Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers. The Association for Computer Linguistics. https:\/\/doi.org\/10.18653\/v1\/p16-1090"},{"key":"e_1_3_2_1_19_1","volume-title":"Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 945\u2013950","author":"Kim Jung-Eun","year":"2020","unstructured":"Jung-Eun Kim , Richard Bradford , and Zhong Shao . 2020 . Anytimenet: Controlling time-quality tradeoffs in deep neural network architectures. In 2020 Design , Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 945\u2013950 . Jung-Eun Kim, Richard Bradford, and Zhong Shao. 2020. Anytimenet: Controlling time-quality tradeoffs in deep neural network architectures. In 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 945\u2013950."},{"key":"e_1_3_2_1_20_1","volume-title":"Assuring Behavior of Autonomous UxV Systems. In Safe and Secure Systems and Software Symposium (S5). The Air Force Research Laboratory (AFRL).","author":"Lee J.","unstructured":"J. Lee , A. Prajogi , E. Rafalovsky , and P. Sarathy . 2016 . Assuring Behavior of Autonomous UxV Systems. In Safe and Secure Systems and Software Symposium (S5). The Air Force Research Laboratory (AFRL). J. Lee, A. Prajogi, E. Rafalovsky, and P. Sarathy. 2016. Assuring Behavior of Autonomous UxV Systems. In Safe and Secure Systems and Software Symposium (S5). The Air Force Research Laboratory (AFRL)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/7474.7528"},{"key":"e_1_3_2_1_22_1","volume-title":"IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things. In 2022 International Conference on Computer Communications and Networks (ICCCN). 1\u201310","author":"Liu Dongxin","year":"2022","unstructured":"Dongxin Liu , Tarek Abdelzaher , Tianshi Wang , Yigong Hu , Jinyang Li , Shengzhong Liu , Matthew Caesar , Deepti Kalasapura , Joydeep Bhattacharyya , Nassy Srour , Jae Kim , Guijun Wang , Greg Kimberly , and Shouchao Yao . 2022 . IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things. In 2022 International Conference on Computer Communications and Networks (ICCCN). 1\u201310 . https:\/\/doi.org\/10.1109\/ICCCN54977.2022.9868920 10.1109\/ICCCN54977.2022.9868920 Dongxin Liu, Tarek Abdelzaher, Tianshi Wang, Yigong Hu, Jinyang Li, Shengzhong Liu, Matthew Caesar, Deepti Kalasapura, Joydeep Bhattacharyya, Nassy Srour, Jae Kim, Guijun Wang, Greg Kimberly, and Shouchao Yao. 2022. IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things. In 2022 International Conference on Computer Communications and Networks (ICCCN). 1\u201310. https:\/\/doi.org\/10.1109\/ICCCN54977.2022.9868920"},{"key":"e_1_3_2_1_23_1","volume-title":"2021 International Conference on Computer Communications and Networks (ICCCN). IEEE, 1\u201310","author":"Liu Dongxin","year":"2021","unstructured":"Dongxin Liu , Tianshi Wang , Shengzhong Liu , Ruijie Wang , Shuochao Yao , and Tarek Abdelzaher . 2021 . Contrastive self-supervised representation learning for sensing signals from the time-frequency perspective . In 2021 International Conference on Computer Communications and Networks (ICCCN). IEEE, 1\u201310 . Dongxin Liu, Tianshi Wang, Shengzhong Liu, Ruijie Wang, Shuochao Yao, and Tarek Abdelzaher. 2021. Contrastive self-supervised representation learning for sensing signals from the time-frequency perspective. In 2021 International Conference on Computer Communications and Networks (ICCCN). IEEE, 1\u201310."},{"key":"e_1_3_2_1_24_1","unstructured":"Dr.\u00a0Sandeep Neema. Accessed: 2019-03-07. Assurance for Autonomous Systems is Hard. https:\/\/www.darpa.mil\/attachments\/AssuredAutonomyProposersDay_ProgramBrief.pdf  Dr.\u00a0Sandeep Neema. Accessed: 2019-03-07. Assurance for Autonomous Systems is Hard. https:\/\/www.darpa.mil\/attachments\/AssuredAutonomyProposersDay_ProgramBrief.pdf"},{"key":"e_1_3_2_1_25_1","unstructured":"University of York. Accessed: 2022-12-20. Assuring autonomy international programme. https:\/\/www.york.ac.uk\/assuring-autonomy\/  University of York. Accessed: 2022-12-20. Assuring autonomy international programme. https:\/\/www.york.ac.uk\/assuring-autonomy\/"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.vlsi.2017.07.007"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN","author":"P.","year":"2000","unstructured":"Thomas\u00a0 P. Trappenberg and Andrew\u00a0D. Back. 2000. A Classification Scheme for Applications with Ambiguous Data . In Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000 , Neural Computing : New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 6. IEEE Computer Society, 296\u2013301. https:\/\/doi.org\/10.1109\/IJCNN.2000.859412 10.1109\/IJCNN.2000.859412 Thomas\u00a0P. Trappenberg and Andrew\u00a0D. Back. 2000. A Classification Scheme for Applications with Ambiguous Data. In Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 6. IEEE Computer Society, 296\u2013301. https:\/\/doi.org\/10.1109\/IJCNN.2000.859412"},{"key":"e_1_3_2_1_28_1","volume-title":"G-OBME, near Kegworth, Leicestershire on","author":"Trimble E.","year":"1989","unstructured":"E. Trimble . 1989. Report No: 4\/1990. Report on the accident to Boeing 737-400 , G-OBME, near Kegworth, Leicestershire on 8 January 1989 . (1989). E. Trimble. 1989. Report No: 4\/1990. Report on the accident to Boeing 737-400, G-OBME, near Kegworth, Leicestershire on 8 January 1989. (1989)."},{"key":"e_1_3_2_1_29_1","volume-title":"The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. In Military Communications Conference, MILCOMM 2022","author":"Wang Tianshi","year":"2022","unstructured":"Tianshi Wang , Denizhan Kara , Jinyang Li , Shengzhong Liu , Tarek Abdelzaher , and Brian Jalaian . 2022 . The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. In Military Communications Conference, MILCOMM 2022 , Sydney, USA, 28 November - 2 December 2022. https:\/\/edas.info\/web\/milcom2022\/program.html#S1569610867 Tianshi Wang, Denizhan Kara, Jinyang Li, Shengzhong Liu, Tarek Abdelzaher, and Brian Jalaian. 2022. The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. In Military Communications Conference, MILCOMM 2022, Sydney, USA, 28 November - 2 December 2022. https:\/\/edas.info\/web\/milcom2022\/program.html#S1569610867"},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018","author":"Wang Xin","year":"2018","unstructured":"Xin Wang , Yujia Luo , Daniel Crankshaw , Alexey Tumanov , Fisher Yu , and Joseph\u00a0 E. Gonzalez . 2018 . IDK Cascades: Fast Deep Learning by Learning not to Overthink . In Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018 , Monterey, California, USA , August 6-10, 2018, Amir Globerson and Ricardo Silva (Eds.). AUAI Press, 580\u2013590. http:\/\/auai.org\/uai2018\/proceedings\/papers\/212.pdf Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, and Joseph\u00a0E. Gonzalez. 2018. IDK Cascades: Fast Deep Learning by Learning not to Overthink. In Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, Monterey, California, USA, August 6-10, 2018, Amir Globerson and Ricardo Silva (Eds.). AUAI Press, 580\u2013590. http:\/\/auai.org\/uai2018\/proceedings\/papers\/212.pdf"},{"key":"e_1_3_2_1_31_1","volume-title":"2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 1\u201310","author":"Yao Shuochao","year":"2020","unstructured":"Shuochao Yao , Yifan Hao , Yiran Zhao , Huajie Shao , Dongxin Liu , Shengzhong Liu , Tianshi Wang , Jinyang Li , and Tarek Abdelzaher . 2020 . Scheduling real-time deep learning services as imprecise computations . In 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 1\u201310 . Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, and Tarek Abdelzaher. 2020. Scheduling real-time deep learning services as imprecise computations. In 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 1\u201310."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052577"}],"event":{"name":"RTNS 2023: The 31st International Conference on Real-Time Networks and Systems","location":"Dortmund Germany","acronym":"RTNS 2023"},"container-title":["The 31st International Conference on Real-Time Networks and Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3575757.3593649","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:20Z","timestamp":1750182680000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3575757.3593649"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,7]]},"references-count":32,"alternative-id":["10.1145\/3575757.3593649","10.1145\/3575757"],"URL":"https:\/\/doi.org\/10.1145\/3575757.3593649","relation":{},"subject":[],"published":{"date-parts":[[2023,6,7]]},"assertion":[{"value":"2023-06-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}