Non-local modeling of enhancer-promoter interactions, a correspondence on "LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions" [0.03%]
关于“LOCO-EPI：将不留染色体空白（LOCO）作为基准以基于深度学习预测增强子-启动子相互作用”的评论——用于模拟增强子-启动子相互作用的非局部模型
Michael A Beer
Michael A Beer
A recent paper by Tahir et al 2024 in Applied Intelligence reported a computational model of enhancer promoter interactions without realizing that many of their conclusions were previously published in 2018. In addition to correcting this r...
Collaborative penetration testing suite for emerging generative AI algorithms [0.03%]
新兴生成式AI算法的协作渗透测试套件
Petar Radanliev
Petar Radanliev
Generative artificial intelligence systems remain vulnerable to sophisticated cyber threats and the emerging challenges posed by quantum computing. This study proposes and evaluates a new penetration testing suite to address quantum securit...
Jaume Segura-Garcia,Rafael Fayos-Jordan,Mohammad Alselek et al.
Jaume Segura-Garcia et al.
The main contribution is the design, implementation and validation of a complete AI-driven electronic nose architecture to perform the classification of whiskey and acetones. This classification is of paramount important in the distillery p...
DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis [0.03%]
基于有向无环图的对抗框架用于联合结构学习和表格数据合成(DAGAF)
Hristo Petkov,Calum MacLellan,Feng Dong
Hristo Petkov
Understanding the causal relationships between data variables can provide crucial insights into the construction of tabular datasets. Most existing causality learning methods typically focus on applying a single identifiable causal model, s...
ROCIP: robust continuous inertial position tracking for complex actions emerging from the interaction of human actors and environment [0.03%]
ROCIP：人与环境交互过程中复杂动作的鲁棒连续惯性位置跟踪
Xinyu Hou,Jeroen Bergmann
Xinyu Hou
Inertial navigation is advancing rapidly due to improvements in sensor technology and tracking algorithms, with consumer-grade inertial measurement units (IMUs) becoming increasingly compact and affordable. Despite progress in pedestrian de...
RETRACTED ARTICLE: Deep learning system to screen coronavirus disease 2019 pneumonia [0.03%]
撤稿通知：用于筛选新型冠状病毒肺炎的深度学习系统
Charmaine Butt,Jagpal Gill,David Chun et al.
Charmaine Butt et al.
Temporally extended goal recognition in fully observable non-deterministic domain models: Temporally extended goal recognition in FOND planning [0.03%]
完全可观察的非确定性域模型中时序扩展目标识别：FOND规划中的时序扩展目标识别
Ramon Fraga Pereira,Francesco Fuggitti,Felipe Meneguzzi et al.
Ramon Fraga Pereira et al.
Goal Recognition is the task of discerning the intended goal that an agent aims to achieve, given a set of goal hypotheses, a domain model, and a sequence of observations (i.e., a sample of the plan executed in the environment). Existing ap...
Ekaterina Merkurjev,Duc Duy Nguyen,Guo-Wei Wei
Ekaterina Merkurjev
Machine learning has greatly influenced many fields, including science. However, despite of the tremendous accomplishments of machine learning, one of the key limitations of most existing machine learning approaches is their reliance on lar...
Game theory and MCDM-based unsupervised sentiment analysis of restaurant reviews [0.03%]
基于博弈论和多准则决策的餐厅评论无监督情感分析
Neha Punetha,Goonjan Jain
Neha Punetha
Sentiment Analysis is a method to identify, extract, and quantify people's feelings, opinions, or attitudes. The wealth of online data motivates organizations to keep tabs on customers' opinions and feelings by turning to sentiment analysis...
Automatic segmentation of thyroid with the assistance of the devised boundary improvement based on multicomponent small dataset [0.03%]
基于多组件小数据集边界的改进自动分割甲状腺方法
Yifei Chen,Xin Zhang,Dandan Li et al.
Yifei Chen et al.
Deep learning has been widely considered in medical image segmentation. However, the difficulty of acquiring medical images and labels can affect the accuracy of the segmentation results for deep learning methods. In this paper, an automati...