22 citations · 77 across the 22 of their papers we have counts for
23 papers
Spikyball sampling: Exploring large networks via an inhomogeneous filtered diffusion
Benjamin Ricaud, Nicolas Aspert, Volodymyr Miz
Studying real-world networks such as social networks or web networks is a challenge. These networks often combine a complex, highly connected structure together with a large size.…
Fast accuracy estimation of deep learning based multi-class musical source separation
Alexandru Mocanu, Benjamin Ricaud, Milos Cernak
Music source separation represents the task of extracting all the instruments from a given song. Recent breakthroughs on this challenge have gravitated around a single dataset, MUS…
What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions
Volodymyr Miz, Joëlle Hanna, Nicolas Aspert +2
In this work, we propose an automatic evaluation and comparison of the browsing behavior of Wikipedia readers that can be applied to any language editions of Wikipedia. As an examp…
A Graph-structured Dataset for Wikipedia Research
Nicolas Aspert, Volodymyr Miz, Benjamin Ricaud +1
Wikipedia is a rich and invaluable source of information. Its central place on the Web makes it a particularly interesting object of study for scientists. Researchers from differen…
Anomaly detection in the dynamics of web and social networks
Volodymyr Miz, Benjamin Ricaud, Kirell Benzi +1
In this work, we propose a new, fast and scalable method for anomaly detection in large time-evolving graphs. It may be a static graph with dynamic node attributes (e.g. time-serie…
Wikipedia graph mining: dynamic structure of collective memory
Volodymyr Miz, Kirell Benzi, Benjamin Ricaud +1
Wikipedia is the biggest encyclopedia ever created and the fifth most visited website in the world. Tens of millions of people surf it every day, seeking answers to various questio…