Tradescantia response to air and soil pollution, stamen hair cells dataset and ANN color classification [0.03%]
空气和土壤污染下的 tradescantia 反应及花药毛细胞数据集和ANN颜色分类
Leatrice Talita Rodrigues,Barbara Sanches Antunes Goeldner,Emílio Graciliano Ferreira Mercuri et al.
Leatrice Talita Rodrigues et al.
Tradescantia plant is a complex system that is sensible to environmental factors such as water supply, pH, temperature, light, radiation, impurities, and nutrient availability. It can be used as a biomonitor for environmental changes; howev...
A systematic literature review on the impact of AI models on the security of code generation [0.03%]
关于AI模型对代码生成安全性影响的系统性文献回顾
Claudia Negri-Ribalta,Rémi Geraud-Stewart,Anastasia Sergeeva et al.
Claudia Negri-Ribalta et al.
Introduction: Artificial Intelligence (AI) is increasingly used as a helper to develop computing programs. While it can boost software development and improve coding proficiency, this practice offers no guarantee of secur...
Challenges and efforts in managing AI trustworthiness risks: a state of knowledge [0.03%]
人工智能可信风险的管理挑战与努力：现状与展望
Nineta Polemi,Isabel Praça,Kitty Kioskli et al.
Nineta Polemi et al.
This paper addresses the critical gaps in existing AI risk management frameworks, emphasizing the neglect of human factors and the absence of metrics for socially related or human threats. Drawing from insights provided by NIST AI RFM and E...
Visualization as irritation: producing knowledge about medieval courts through uncertainty [0.03%]
不确定性视角下的中世纪王权知识生产与视觉思维
Silke Schwandt,Christian Wachter
Silke Schwandt
Visualizations are ubiquitous in data-driven research, serving as both tools for knowledge production and genuine means of knowledge communication. Despite criticisms targeting the alleged objectivity of visualizations in the digital humani...
Multi-modal recommender system for predicting project manager performance within a competency-based framework [0.03%]
基于能力的框架下预测项目经理绩效的多模推荐系统
Imene Jemal,Wilfried Armand Naoussi Sijou,Belkacem Chikhaoui
Imene Jemal
The evaluation of performance using competencies within a structured framework holds significant importance across various professional domains, particularly in roles like project manager. Typically, this assessment process, overseen by sen...
A comprehensive investigation of clustering algorithms for User and Entity Behavior Analytics [0.03%]
用于用户和实体行为分析的聚类算法全面调查
Pierpaolo Artioli,Antonio Maci,Alessio Magrì
Pierpaolo Artioli
Introduction: Government agencies are now encouraging industries to enhance their security systems to detect and respond proactively to cybersecurity incidents. Consequently, equipping with a security operation center tha...
Junji Jiang,Chen Ling,Hongyi Li et al.
Junji Jiang et al.
In recent years, analyzing the explanation for the prediction of Graph Neural Networks (GNNs) has attracted increasing attention. Despite this progress, most existing methods do not adequately consider the inherent uncertainties stemming fr...
Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions [0.03%]
基于捆绑树学习方法的加密货币购买信号预测以增强购买决策
Raed Alsini,Qasem Abu Al-Haija,Abdulaziz A Alsulami et al.
Raed Alsini et al.
Introduction: The cryptocurrency market is captivating the attention of both retail and institutional investors. While this highly volatile market offers investors substantial profit opportunities, it also entails risks d...
The role of big data in financial technology toward financial inclusion [0.03%]
大数据在金融科技促进普惠金融中的作用研究
David Mhlanga
David Mhlanga
In the rapidly evolving landscape of financial technology (FinTech), big data stands as a cornerstone, driving significant transformations. This study delves into the pivotal role of big data in FinTech and its implications for financial in...
Toward explainable AI in radiology: Ensemble-CAM for effective thoracic disease localization in chest X-ray images using weak supervised learning [0.03%]
迈向放射学中可解释的人工智能：使用弱监督学习有效定位胸部X射线图像中的胸腔疾病的方法
Muhammad Aasem,Muhammad Javed Iqbal
Muhammad Aasem
Chest X-ray (CXR) imaging is widely employed by radiologists to diagnose thoracic diseases. Recently, many deep learning techniques have been proposed as computer-aided diagnostic (CAD) tools to assist radiologists in minimizing the risk of...