activity
20152023
most citedRiver: machine learning for streaming data in Python

160 citations · 344 across the 10 of their papers we have counts for

collaborators

10 papers

stat.AP2023

Uncovering the Spatial and Temporal Variability of Wind Resources in Europe: A Web-Based Data-Mining Tool

Alban Puech, Jesse Read

We introduce REmap-eu.app, a web-based data-mining visualization tool of the spatial and temporal variability of wind resources. It uses the latest open-access dataset of the daily…

cs.LG2023★ 11 cited

An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning

Alban Puech, Jesse Read

Yaw misalignment, measured as the difference between the wind direction and the nacelle position of a wind turbine, has consequences on the power output, the safety and the lifetim…

cs.LG2022★ 13 cited

Learning from Data Streams: An Overview and Update

Jesse Read, Indrė Žliobaitė

The literature on machine learning in the context of data streams is vast and growing. However, many of the defining assumptions regarding data-stream learning tasks are too strong…

cs.LG2022

Estimating Multi-label Accuracy using Labelset Distributions

Laurence A. F. Park, Jesse Read

A multi-label classifier estimates the binary label state (relevant vs irrelevant) for each of a set of concept labels, for any given instance. Probabilistic multi-label classifier…

cs.LG2022

From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach

Jesse Read

In multi-label learning, a particular case of multi-task learning where a single data point is associated with multiple target labels, it was widely assumed in the literature that,…

cs.CL2022★ 2 cited

Isomorphic Cross-lingual Embeddings for Low-Resource Languages

Sonal Sannigrahi, Jesse Read

Cross-Lingual Word Embeddings (CLWEs) are a key component to transfer linguistic information learnt from higher-resource settings into lower-resource ones. Recent research in cross…