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Acknowledgment to Reviewers of Electronics in 2020, , , , , , , , , and 1 other author(s). (2021)Integrated Multi-Agent Architecture for Assisted Document Recognition., , , and . DAS, volume 29 of Series in Machine Perception and Artificial Intelligence, page 301-317. WorldScientific, (1996)Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems., , and . CoRR, (2019)A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices., , , and . ICSOC, volume 12571 of Lecture Notes in Computer Science, page 319-333. Springer, (2020)Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning., , and . IWCMC, page 524-529. IEEE, (2023)Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving., , and . IWCMC, page 318-323. IEEE, (2022)VirtualGAN: Reducing Mode Collapse in Generative Adversarial Networks Using Virtual Mapping., , and . IJCNN, page 1-6. IEEE, (2021)A Scenario Model Advocating User-Driven Adaptive Document Recognition Systems., , and . ICDAR, page 745-748. IEEE Computer Society, (1997)Evaluation of syllable rate estimation in expressive speech and its contribution to emotion recognition., and . SLT, page 472-477. IEEE, (2014)A study of document image degradation effects on font recognition., and . ICDAR, page 740-743. IEEE Computer Society, (1995)0-8186-7128-9.