Search Results for author:
Found 8 papers, 0 papers with code
Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects
While artificial intelligence (AI) has made many successful applications in various domains, its adoption in healthcare lags a little bit behind other high-stakes settings.
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research
Although knee OA carries a list of well-known terminology aiming to standardize the nomenclature of the diagnosis, prognosis, treatment, and clinical outcomes of the chronic joint disease, in practice there is a wide range of terminology associated with knee OA across different data sources, including but not limited to biomedical literature, clinical notes, healthcare literacy, and health-related social media.
An Integrated Approach for Video Captioning and Applications
There is a trade-off between the computation of many frames and the speed of the captioning process.
Generative Adversarial Network Applications in Creating a Meta-Universe
Generative Adversarial Networks (GANs) are machine learning methods that are used in many important and novel applications.
Generative Adversarial Network
Image-to-Image Translation
+3
The Use of Video Captioning for Fostering Physical Activity
With the above in mind, this paper proposes a video captioning framework that aims to describe the activities in a video and estimate a person's daily physical activity level.
Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning
The proposed system functions and operates as followed: it reads a video; representative image frames are identified and selected; the image frames are captioned; NLP is applied to all generated captions together with text summarization; and finally, a title and an abstract are generated for the video.
Stereotype-Free Classification of Fictitious Faces
The proposed approach aids labeling new data (fictitious output images) by minimizing a penalized version of the least squares cost function between realistic pictures and target pictures.
