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Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues

understandingquantumsoftwareengineeringchallengesanempiricalstudyonstackexchangeforumsandgithubissues CONFERENCE 2021 El aoun, M.R., Li, H., Khomh, F. &amp; Openja, M. (2021). <i>Understanding Quantum Software Engineering Challenges An Empirical ...

https://www.polymtl.ca/moose/content/understanding-quantum-software-engineering-challenges-empirical-study-stack-exchange-forums-and

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Locating Performance Regression Root Causes in the Field Operations of Web-based Systems: An Experience Report

locatingperformanceregressionrootcausesinthefieldoperationsofwebbasedsystemsanexperiencereport JOURNAL 2021 Liao, L., Chen, J., Li, H., Zeng, Y., Shang, W., Sporea, C., Toma, A. &amp; Sajedi, S. (2021). Locating Performance Regression Root Causes in t ...

https://www.polymtl.ca/moose/content/locating-performance-regression-root-causes-field-operations-web-based-systems-experience-report

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Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks

canpretrainedcodeembeddingsimprovemodelperformancerevisitingtheuseofcodeembeddingsinsoftwareengineeringtasks JOURNAL 2022 Ding, Z., Li, H., Shang, W. &amp; Chen, T.-H.P. (2022). Can pre-trained code embeddings improve model performance? Revisiting the ...

https://www.polymtl.ca/moose/content/can-pre-trained-code-embeddings-improve-model-performance-revisiting-use-code-embeddings-software

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An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks

anempiricalstudyoftheimpactofhyperparametertuningandmodeloptimizationontheperformancepropertiesofdeepneuralnetworks JOURNAL 2022 Liao, L., Li, H., Shang, W. &amp; Ma, L. (2022). An Empirical Study of the Impact of Hyperparameter Tuning and Model Optim ...

https://www.polymtl.ca/moose/content/empirical-study-impact-hyperparameter-tuning-and-model-optimization-performance-properties-deep

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High-Speed Trajectory Tracking on Robotic Arm by Learning the Dynamic Response of the PID Controller with a Neural Network

highspeedtrajectorytrackingonroboticarmbylearningthedynamicresponseofthepidcontrollerwithaneuralnetwork CONFERENCE 2021 Toussaint, B. &amp; Raison, M. (2021). <i>High-Speed Trajectory Tracking on Robotic Arm by Learning the Dynamic Response of t ...

https://www.polymtl.ca/recap/content/high-speed-trajectory-tracking-robotic-arm-learning-dynamic-response-pid-controller-neural-network

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Demystifying the Mechanical and Numerical Concepts Underlying Multibody System Dynamics: Development of an International MOOC

demystifyingthemechanicalandnumericalconceptsunderlyingmultibodysystemdynamicsdevelopmentofaninternationalmooc CONFERENCE 2021 Fisette, P., Hinnekens, S., Moreau, E. &amp; Raison, M. (2021). <i>Demystifying the Mechanical and Numerical Concepts ...

https://www.polymtl.ca/recap/content/demystifying-mechanical-and-numerical-concepts-underlying-multibody-system-dynamics-development

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Socioeconomic disparities and difficulties to access to healthcare services among Canadian children with neurodevelopmental disorders and disabilities

socioeconomicdisparitiesanddifficultiestoaccesstohealthcareservicesamongcanadianchildrenwithneurodevelopmentaldisordersanddisabilities JOURNAL 2018 Raouafi, S., Achiche, S. &amp; Raison, M. (2018). Socioeconomic disparities and difficulties to access ...

https://www.polymtl.ca/recap/content/socioeconomic-disparities-and-difficulties-access-healthcare-services-among-canadian-children

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