Boosting AI applications: Labeling format for complex datasets

Author:

Nieto Marcos,Senderos OrtiORCID,Otaegui Oihana

Funder

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Computer Science Applications,Software

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modelling continuous intention to use generative artificial intelligence as an educational tool among university students: findings from PLS-SEM and ANN;Journal of Computers in Education;2024-08-27

2. Integration of Generative AI Techniques and Applications in Student Behavior and Cognitive Achievement in Arab Higher Education;International Journal of Human–Computer Interaction;2024-01-08

3. A Machine Vision Approach for Nitrate Sufficiency Determination in Aquaponic Lettuce via Leaf Color Recognition;2023 IEEE 64th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS);2023-10-05

4. Scenario-Based Validation of Automated Train Systems Using a 3D Virtual Railway Environment;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

5. WebLabel: OpenLABEL-compliant multi-sensor labelling;Multimedia Tools and Applications;2023-08-31

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