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A Deep Regression Approach for Human Activity Recognition Under Partial Occlusion., , , , and . Int. J. Neural Syst., 33 (9): 2350047:1-2350047:19 (September 2023)A Novel CNN-LSTM Hybrid Architecture for the Recognition of Human Activities., , , , and . EANN, 3, page 121-132. Springer, (2021)A Geometric Approach for Cross-View Human Action Recognition using Deep Learning., , , and . ISPA, page 258-263. IEEE, (2019)A Multimodal Fusion Approach for Human Activity Recognition., , , and . Int. J. Neural Syst., 33 (1): 2350002:1-2350002:20 (January 2023)Early Fusion of Visual Representations of Skeletal Data for Human Activity Recognition., , , , and . SETN, page 45:1-45:5. ACM, (2022)Recognizing Human Actions Using 3D Skeletal Information and CNNs., , , , , and . EANN, volume 1000 of Communications in Computer and Information Science, page 511-521. Springer, (2019)User Evaluation of Unobtrusive Methods for Heart-Rate Measurement., and . PETRA, page 106-107. ACM, (2018)Domain-Specific Term Extraction: A Case Study on Greek Maritime Legal Texts., , , , , , and . SETN, page 10:1-10:6. ACM, (2022)ShipQuest: A Bottom-Up Approach for Building a Modern Greek Maritime Ontology., , , , , and . SMAP, page 1-6. IEEE, (2023)A Deep Hybrid Architecture for Human Activity Recognition., , , and . PETRA, page 254-255. ACM, (2021)