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A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
Large language models can accurately predict searcher preferences
P Thomas, S Spielman, N Craswell… - Proceedings of the 47th …, 2024 - dl.acm.org
Much of the evaluation and tuning of a search system relies on relevance labels---
annotations that say whether a document is useful for a given search and searcher. Ideally …
annotations that say whether a document is useful for a given search and searcher. Ideally …
Spotting fake reviewer groups in consumer reviews
Opinionated social media such as product reviews are now widely used by individuals and
organizations for their decision making. However, due to the reason of profit or fame, people …
organizations for their decision making. However, due to the reason of profit or fame, people …
Spotting opinion spammers using behavioral footprints
Opinionated social media such as product reviews are now widely used by individuals and
organizations for their decision making. However, due to the reason of profit or fame, people …
organizations for their decision making. However, due to the reason of profit or fame, people …
Opinion spam and analysis
N **dal, B Liu - Proceedings of the 2008 international conference on …, 2008 - dl.acm.org
Evaluative texts on the Web have become a valuable source of opinions on products,
services, events, individuals, etc. Recently, many researchers have studied such opinion …
services, events, individuals, etc. Recently, many researchers have studied such opinion …
Survey on web spam detection: principles and algorithms
Search engines became a de facto place to start information acquisition on the Web. Though
due to web spam phenomenon, search results are not always as good as desired …
due to web spam phenomenon, search results are not always as good as desired …
Spectral clustering and transductive learning with multiple views
D Zhou, CJC Burges - Proceedings of the 24th international conference …, 2007 - dl.acm.org
We consider spectral clustering and transductive inference for data with multiple views. A
typical example is the web, which can be described by either the hyperlinks between web …
typical example is the web, which can be described by either the hyperlinks between web …
A systematic literature review of cyber-security data repositories and performance assessment metrics for semi-supervised learning
Abstract In Machine Learning, the datasets used to build models are one of the main factors
limiting what these models can achieve and how good their predictive performance is …
limiting what these models can achieve and how good their predictive performance is …
Efficient semi-streaming algorithms for local triangle counting in massive graphs
In this paper we study the problem of local triangle counting in large graphs. Namely, given
a large graph G=(V; E) we want to estimate as accurately as possible the number of triangles …
a large graph G=(V; E) we want to estimate as accurately as possible the number of triangles …
The vapnik–chervonenkis dimension of graph and recursive neural networks
Abstract The Vapnik–Chervonenkis dimension (VC-dim) characterizes the sample learning
complexity of a classification model and it is often used as an indicator for the generalization …
complexity of a classification model and it is often used as an indicator for the generalization …