These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
111 related articles for article (PubMed ID: 38655356)
1. Semi-supervised ensemble learning for human activity recognition in casas Kyoto dataset. Paola Patricia AC; Rosberg PC; Butt-Aziz S; Marlon Alberto PM; Roberto-Cesar MO; Miguel UT; Naz S Heliyon; 2024 Apr; 10(8):e29398. PubMed ID: 38655356 [TBL] [Abstract][Full Text] [Related]
2. Machine Learning Applied to Datasets of Human Activity Recognition: Data Analysis in Health Care. Patricia AP; Enrico V; Shariq BA; De la Hoz Franco E; Alberto PM; Isabel OA; Tariq MI; Restrepo JKG; Fulvio P Curr Med Imaging; 2022; 19(1):46-64. PubMed ID: 34983351 [TBL] [Abstract][Full Text] [Related]
3. Enhancing Human Activity Recognition in Smart Homes with Self-Supervised Learning and Self-Attention. Chen H; Gouin-Vallerand C; Bouchard K; Gaboury S; Couture M; Bier N; Giroux S Sensors (Basel); 2024 Jan; 24(3):. PubMed ID: 38339601 [TBL] [Abstract][Full Text] [Related]
4. Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data. Nef T; Urwyler P; Büchler M; Tarnanas I; Stucki R; Cazzoli D; Müri R; Mosimann U Sensors (Basel); 2015 May; 15(5):11725-40. PubMed ID: 26007727 [TBL] [Abstract][Full Text] [Related]
5. Semi-Supervised Adversarial Learning Using LSTM for Human Activity Recognition. Yang SH; Baek DG; Thapa K Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808248 [TBL] [Abstract][Full Text] [Related]
6. Human Action Recognition in Smart Living Services and Applications: Context Awareness, Data Availability, Personalization, and Privacy. Diraco G; Rescio G; Caroppo A; Manni A; Leone A Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447889 [TBL] [Abstract][Full Text] [Related]
7. Robust human locomotion and localization activity recognition over multisensory. Khan D; Alonazi M; Abdelhaq M; Al Mudawi N; Algarni A; Jalal A; Liu H Front Physiol; 2024; 15():1344887. PubMed ID: 38449788 [TBL] [Abstract][Full Text] [Related]
8. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation. Enguehard J; O'Halloran P; Gholipour A IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387 [TBL] [Abstract][Full Text] [Related]
9. A Semi-Supervised Transfer Learning with Dynamic Associate Domain Adaptation for Human Activity Recognition Using WiFi Signals. Chen YS; Chang YC; Li CY Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960569 [TBL] [Abstract][Full Text] [Related]
10. Semi-Supervised Adversarial Auto-Encoder to Expedite Human Activity Recognition. Thapa K; Seo Y; Yang SH; Kim K Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679478 [TBL] [Abstract][Full Text] [Related]
11. Ensem-HAR: An Ensemble Deep Learning Model for Smartphone Sensor-Based Human Activity Recognition for Measurement of Elderly Health Monitoring. Bhattacharya D; Sharma D; Kim W; Ijaz MF; Singh PK Biosensors (Basel); 2022 Jun; 12(6):. PubMed ID: 35735541 [TBL] [Abstract][Full Text] [Related]
12. Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments. Irvine N; Nugent C; Zhang S; Wang H; Ng WWY Sensors (Basel); 2019 Dec; 20(1):. PubMed ID: 31905991 [TBL] [Abstract][Full Text] [Related]
13. CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition. Xiao Z; Tong H; Qu R; Xing H; Luo S; Zhu Z; Song F; Feng L IEEE Trans Neural Netw Learn Syst; 2023 Dec; PP():. PubMed ID: 38150344 [TBL] [Abstract][Full Text] [Related]
14. A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. Calderon-Ramirez S; Murillo-Hernandez D; Rojas-Salazar K; Elizondo D; Yang S; Moemeni A; Molina-Cabello M Med Biol Eng Comput; 2022 Apr; 60(4):1159-1175. PubMed ID: 35239108 [TBL] [Abstract][Full Text] [Related]
15. A depth video sensor-based life-logging human activity recognition system for elderly care in smart indoor environments. Jalal A; Kamal S; Kim D Sensors (Basel); 2014 Jul; 14(7):11735-59. PubMed ID: 24991942 [TBL] [Abstract][Full Text] [Related]
16. Multilabel Classification Methods for Human Activity Recognition: A Comparison of Algorithms. Lentzas A; Dalagdi E; Vrakas D Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336522 [TBL] [Abstract][Full Text] [Related]
17. Clustering-based ensemble learning for activity recognition in smart homes. Jurek A; Nugent C; Bi Y; Wu S Sensors (Basel); 2014 Jul; 14(7):12285-304. PubMed ID: 25014095 [TBL] [Abstract][Full Text] [Related]
18. Human Activity Recognition Data Analysis: History, Evolutions, and New Trends. Ariza-Colpas PP; Vicario E; Oviedo-Carrascal AI; Butt Aziz S; Piñeres-Melo MA; Quintero-Linero A; Patara F Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591091 [TBL] [Abstract][Full Text] [Related]
19. A Semi-Automatic Annotation Approach for Human Activity Recognition. Bota P; Silva J; Folgado D; Gamboa H Sensors (Basel); 2019 Jan; 19(3):. PubMed ID: 30691040 [TBL] [Abstract][Full Text] [Related]
20. Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes. Pourreza Shahri M; Kahanda I BMC Bioinformatics; 2021 Oct; 22(1):500. PubMed ID: 34656098 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]