Sotabase

Career

· Senior Software Engineer, XCo Tech, Jesse Read | Tech Lead and Full Stack Developer2018–
· Technical Director, Redline Interactive, Jesse Read | Tech Lead and Full Stack Developer2012–
· Developer, Architect and Principal, Three Sails, Jesse Read | Tech Lead and Full Stack Developer2006–
· Senior Developer, RareMethod, Jesse Read | Tech Lead and Full Stack Developer2003–

Publications (0)

Classifier chains for multi-label classification
Machine-mediated learning · 2009
2,639
cited
Adaptive random forests for evolving data stream classification
Machine-mediated learning · 2017
696
cited
Multi-label Classification Using Ensembles of Pruned Sets
2008 Eighth IEEE International Conference on Data Mining · 2008
464
cited
Scikit-Multiflow: A Multi-output Streaming Framework
Journal of machine learning research · 2018
333
cited
River: machine learning for streaming data in Python
Journal of machine learning research · 2020
264
cited
Machine learning for streaming data: state of the art, challenges, and opportunities
SKDD · 2019
240
cited
A Pruned Problem Transformation Method for Multi-label Classification
2008
237
cited
MEKA: A Multi-label/Multi-target Extension to WEKA
Journal of machine learning research · 2016
236
cited
Better Sign Language Translation with STMC-Transformer
International Conference on Computational Linguistics · 2020
189
cited
Efficient Online Evaluation of Big Data Stream Classifiers
Knowledge Discovery and Data Mining · 2015
177
cited
Scalable and efficient multi-label classification for evolving data streams
Machine-mediated learning · 2012
143
cited
Cooperative parallel particle filters for online model selection and applications to urban mobility
Digit. Signal Process. · 2015
136
cited
Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data
International Symposium on Intelligent Data Analysis · 2012
132
cited
Evaluation methods and decision theory for classification of streaming data with temporal dependence
Machine-mediated learning · 2015
131
cited
Streaming Random Patches for Evolving Data Stream Classification
Industrial Conference on Data Mining · 2019
125
cited
Efficient monte carlo methods for multi-dimensional learning with classifier chains
Pattern Recognition · 2012
119
cited
Scalable Multi-label Classification
2010
101
cited
Efficient data stream classification via probabilistic adaptive windows
ACM Symposium on Applied Computing · 2013
96
cited
Scalable multi-output label prediction: From classifier chains to classifier trellises
Pattern Recognition · 2015
89
cited
Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling
IEEE Transactions on Signal Processing · 2012
87
cited
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