141 citations · 597 across the 22 of their papers we have counts for
3 papers · 1 filter
Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation
Jesse Read
Learning from data streams is an increasingly important topic in data mining, machine learning, and artificial intelligence in general. A major focus in the data stream literature…
Scikit-Multiflow: A Multi-output Streaming Framework
Jacob Montiel, Jesse Read, Albert Bifet +1
Scikit-multiflow is a multi-output/multi-label and stream data mining framework for the Python programming language. Conceived to serve as a platform to encourage democratization o…
Perturb and Combine to Identify Influential Spreaders in Real-World Networks
Antoine J. -P. Tixier, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros +2
Some of the most effective influential spreader detection algorithms are unstable to small perturbations of the network structure. Inspired by bagging in Machine Learning, we propo…