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DeepVentilation: Learning to Predict Physical Effort from Breathing.

, , and . IJCAI, page 5231-5233. ijcai.org, (2020)Demo.

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Naming the pain in requirements engineering - Contemporary problems, causes, and effects in practice., , , , , , , , , and 13 other author(s). Empir. Softw. Eng., 22 (5): 2298-2338 (2017)UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing., , , and . CAIN, page 159-169. ACM, (2022)Opening the software engineering toolbox for the assessment of trustworthy AI., , , , , , , , , and . NeHuAI@ECAI, volume 2659 of CEUR Workshop Proceedings, page 67-70. CEUR-WS.org, (2020)Naming the Pain in Requirements Engineering: Contemporary Problems, Causes, and Effects in Practice., , , , , , , , , and 13 other author(s). CoRR, (2016)Taming Data Quality in AI-Enabled Industrial Internet of Things., , , , , and . IEEE Softw., 39 (6): 35-42 (2022)A Systematic Review of Data Quality in CPS and IoT for Industry 4.0., , , , , , , , and . ACM Comput. Surv., 55 (14s): 327:1-327:38 (2023)Certus: glimpses of a centre for research-based innovation in software verification and validation.. SER&IPs, page 2-5. ACM, (2014)Creation of an Wearable Startup: From a Laboratory Incubator to a Revenue Generating Business.. ICSE (Workshops), page 623-626. ACM, (2020)Software Engineering and AI for Data Quality in Cyber- Physical Systems - SEA4DQ'21 Workshop Report., , , , , , and . ACM SIGSOFT Softw. Eng. Notes, 47 (1): 26-29 (2022)Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things - SEA4DQ'22 Report., , , , and . ACM SIGSOFT Softw. Eng. Notes, 48 (1): 108-111 (January 2023)