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[HTML][HTML] Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of …
Analysing historical patterns of artificial intelligence (AI) adoption can inform decisions about
AI capability uplift, but research to date has provided a limited view of AI adoption across …
AI capability uplift, but research to date has provided a limited view of AI adoption across …
Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet?
Automatic detection of software security vulnerabilities is critical in software quality
assurance. Many static analysis tools that can help detect security vulnerabilities have been …
assurance. Many static analysis tools that can help detect security vulnerabilities have been …
Bandwidth-efficient mobile volumetric video streaming by exploiting inter-frame correlation
Volumetric videos offer viewers more immersive experiences, enabling a variety of
applications. However, state-of-the-art streaming systems still need hundreds of Mbps …
applications. However, state-of-the-art streaming systems still need hundreds of Mbps …
The ensmallen library for flexible numerical optimization
We overview the ensmallen numerical optimization library, which provides a flexible C++
framework for mathematical optimization of user-supplied objective functions. Many types of …
framework for mathematical optimization of user-supplied objective functions. Many types of …
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates
As the size of datasets used in statistical learning continues to grow, distributed training of
models has attracted increasing attention. These methods partition the data and exploit …
models has attracted increasing attention. These methods partition the data and exploit …
Solving travelling thief problems using coordination based methods
A travelling thief problem (TTP) is a proxy to real-life problems such as postal collection. TTP
comprises an entanglement of a travelling salesman problem (TSP) and a knapsack …
comprises an entanglement of a travelling salesman problem (TSP) and a knapsack …
Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification
While distributed training is often viewed as a solution to optimizing linear models on
increasingly large datasets, inter-machine communication costs of popular distributed …
increasingly large datasets, inter-machine communication costs of popular distributed …
TopoMap++: A faster and more space efficient technique to compute projections with topological guarantees
High-dimensional data, characterized by many features, can be difficult to visualize
effectively. Dimensionality reduction techniques, such as PCA, UMAP, and t-SNE, address …
effectively. Dimensionality reduction techniques, such as PCA, UMAP, and t-SNE, address …
Reconsidering Tree based Methods for k-Maximum Inner-Product Search: The LRUS-CoverTree
Existing literature on k-Maximum Inner-Product Search has made it a common belief that
tree based methods are less effective in terms of index construction time and query …
tree based methods are less effective in terms of index construction time and query …
StarFunc: fusing template-based and deep learning approaches for accurate protein function prediction
Deep learning has significantly advanced the development of high-performance methods for
protein function prediction. Nonetheless, even for state-of-the-art deep learning approaches …
protein function prediction. Nonetheless, even for state-of-the-art deep learning approaches …