14,991 results for Paper

arxiv.org/abs/math/0609458v2

Slicing Bing doubles

Bing doubling is an operation which produces a 2-component boundary link B(K) from a knot K. If K is slice, then B(K) is easily seen to be boundary slice. In this paper, we investigate whether the converse holds. Our main result is that if B(K) is...

arxiv.org/abs/1804.10439v1

Can we use Google Scholar to identify highly-cited documents?

The main objective of this paper is to empirically test whether the identification of highly-cited documents through Google Scholar is feasible and reliable. To this end, we carried out a longitudinal analysis (1950 to 2013), running a generic query...

arxiv.org/abs/cs/0405112v2

Really Straight Graph Drawings

This paper has been withdrawn by the authors. It has been replaced by the papers: "Drawings of Planar Graphs with Few Slopes and Segments" (math/0606450) and "Graph Drawings with Few Slopes" (math/0606446)....

arxiv.org/abs/1403.6946v1

The NUbots Team Description Paper 2014

The NUbots team, from The University of Newcastle, Australia, has had a strong record of success in the RoboCup Standard Platform League since first entering in 2002. The team has also competed within the RoboCup Humanoid Kid-Size League since 2012....

github.com/beatricefranzolini/MFMmultiHurdle

beatricefranzolini/MFMmultiHurdle

Code used for the paper "Bayesian Clustering of Multiple Zero-Inflated Outcomes" by B. Franzolini, A. Cremaschi, W. van den Boom and M. De Iorio (2022) arXiv:2205.05054v2 (⭐ 0)

github.com/thiery-lab/dais

thiery-lab/dais

Code used for the paper "Doubly Adaptive Importance Sampling" by Willem van den Boom, Andrea Cremaschi and Alexandre H. Thiery (⭐ 0)

github.com/willemvandenboom/graph-of-graphs

willemvandenboom/graph-of-graphs

Repository with code used for the paper "Graph of Graphs: From Nodes to Supernodes in Graphical Models" by Maria De Iorio, Willem van den Boom, Alexandros Beskos, Ajay Jasra and Andrea Cremaschi (⭐ 3)

arxiv.org/abs/2507.02394v2

On the Adversarial Robustness of Online Importance Sampling

This paper studies the adversarial-robustness of importance-sampling (aka sensitivity sampling); a useful algorithmic technique that samples elements with probabilities proportional to some measure of their importance. A streaming or online algorithm...

arxiv.org/abs/1602.04878v1

Kinsey Reporter: Citizen Science for Sex Research

Kinsey Reporter is a global mobile app to share, explore, and visualize anonymous data about sex. Reports are submitted via smartphone, then visualized on a website or downloaded for offline analysis. In this paper we present the major features of th...

arxiv.org/abs/2508.11827v1

Large Wing Model

Developing a generalized aerodynamics prediction machine learning model for finite wings with different airfoil sections is challenging due to the vast parameter space and a relative scarcity of available data. This paper presents the Large Wing Mode...

arxiv.org/abs/2307.01672v1

Boosting Norwegian Automatic Speech Recognition

In this paper, we present several baselines for automatic speech recognition (ASR) models for the two official written languages in Norway: Bokmål and Nynorsk. We compare the performance of models of varying sizes and pre-training approaches on mult...