This paper offers a different understanding of the Adam optimizer, a popular choice in deep neural network training. Despite its practical success, the theoretical understanding of Adam’s algorithmic components has…
Continue readingThe paper introduces a novel approach to Intrusion Detection Systems (IDS), called X-CBA. This approach leverages the advantages of Graph Neural Networks (GNNs) to effectively process network traffic data while…
Continue readingThe research presents CP-FairRank, a re-ranking algorithm that integrates fairness constraints from both consumer and producer perspectives. It aims to improve fairness in recommender systems, which are widely used in…
Continue readingThe research paper ‘Improving the Accuracy of Freight Mode Choice Models’ by Diyi Liu et al. investigates the use of the 2017 Commodity Flow Survey data to develop a high-performance…
Continue readingThis research explores the use of machine learning classifiers for modeling freight mode choice. Eight common machine learning classifiers and the Multinomial Logit model are investigated using the 2012 Commodity…
Continue readingThis article presents a comprehensive survey of the advancements and techniques in the field of tractable probabilistic generative modeling, with a focus on Probabilistic Circuits (PCs). The authors discuss the…
Continue readingThe research paper presents an active learning framework for Android malware detection called ActDroid. With the growing popularity of Android, the need for effective malware detection systems has increased. The…
Continue readingThe paper explores the increasing security risks associated with the use of AI and machine learning in healthcare systems. The authors demonstrate these risks through a case study of an…
Continue readingThe article discusses the integration of machine learning with blockchain technology, specifically through opML (Optimistic Machine Learning on chain). opML is a novel approach that allows blockchain systems to conduct…
Continue readingThe paper discusses the ongoing threat of ransomware, especially in Linux-based systems. It introduces GuardFS, a file system-based approach that not only detects but also mitigates ransomware threats. GuardFS uses…
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