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Found 11 papers, 0 papers with code
A Preliminary Study on Using Large Language Models in Software Pentesting
The results show that using LLMs is a viable approach to build an AI agent for software pentesting that can improve through repeated use and prompt engineering.
Robust Neonatal Face Detection in Real-world Clinical Settings
Current face detection algorithms are extremely generalized and can obtain decent accuracy when detecting the adult faces.
Pattern Recognition in Vital Signs Using Spectrograms
The results from the proposed approach are promising with an accuracy of 91. 55% and 91. 67% in prediction and classification tasks respectively.
Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment
We compare the performance of the multimodal and unimodal postoperative pain assessment, and measure the impact of temporal information integration.
First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain
This paper presents the first investigation into the use of fully automated deep learning framework for assessing neonatal postoperative pain.
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound
Neonatal pain assessment in clinical environments is challenging as it is discontinuous and biased.
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos
Neonates do not have the ability to either articulate pain or communicate it non-verbally by pointing.
Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop
In this paper, we introduce an iterative deep learning based method to improve segmentation and counting of cells based on unbiased stereology applied to regions of interest of extended depth of field (EDF) images.
A method to Suppress Facial Expression in Posed and Spontaneous Videos
We address the problem of suppressing facial expressions in videos because expressions can hinder the retrieval of important information in applications such as face recognition.
Neonatal Pain Expression Recognition Using Transfer Learning
In this paper, we propose a new pipeline for pain expression recognition in neonates using transfer learning.
Machine-based Multimodal Pain Assessment Tool for Infants: A Review
In addition, it reviews the databases available to the research community and discusses the current limitations of the automated pain assessment.
