Bruno Cunha
Orcid: 0000-0002-8661-3080
According to our database1,
Bruno Cunha
authored at least 17 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Providing Informative Feedback in a Low-Cost Rehabilitation System Using Machine Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024
2023
Home-Based Rehabilitation of the Shoulder Using Auxiliary Systems and Artificial Intelligence: An Overview.
Sensors, August, 2023
Differences in Trapezius Muscle H-Reflex between Asymptomatic Subjects and Symptomatic Shoulder Pain Subjects.
Sensors, 2023
Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance, 2023
2020
Solving the Job Shop Scheduling Problem with Reinforcement Learning: A Statistical Analysis.
Proceedings of the Intelligent Systems Design and Applications, 2020
Proceedings of the Intelligent Systems Design and Applications, 2020
2018
Proceedings of the Hybrid Intelligent Systems, 2018
Proceedings of the Hybrid Intelligent Systems, 2018
2016
Evaluating the effectiveness of Bayesian and Neural Networks for Adaptive Schedulling Systems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Metaheuristics Parameter Tuning Using Racing and Case-Based Reasoning in Scheduling Systems.
Proceedings of the Intelligent Systems Design and Applications, 2016
Proceedings of the Intelligent Systems Design and Applications, 2016
2014
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014
Prototype of an Adaptive Decision Support System for Interactive Scheduling with MetaCognition and User Modeling Experience.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014
Cooperation Mechanism for Distributed resource scheduling through artificial bee colony based self-organized scheduling system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014