Jesse Read

7.7k citations

63 papers · 3.8k indexed · 2 hit papers · h-index 24

Impact in

Artificial Intelligence top 0.2%
- Text and Document Classification Technologies
- Data Stream Mining Techniques
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
Signal Processing top 2%

Papers in

Artificial Intelligence 44
- Data Stream Mining Techniques 22
- Text and Document Classification Technologies 18
- Machine Learning and Data Classification 15
- Anomaly Detection Techniques and Applications 11
Signal Processing 12
- Time Series Analysis and Forecasting 10

Co-authors: Geoffrey Holmes Bernhard Pfahringer Eibe Frank Albert Bifet Luca Martino Heitor Murilo Gomes Jean Paul Barddal David Luengo
Journals: Machine Learning (7 papers)Pattern Recognition (3 papers)ACM Computing Surveys (2 papers)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)Ecological Informatics (1 paper)
Partner nations: France Spain Finland

In The Last Decade

Jesse Read

61 papers receiving 3.7k citations

Hit Papers

align trajectories log scale

Adaptive random forests for evolving data stream classification 2017 · 473 citations

Peers

Countries citing papers authored by Jesse Read

Since Specialization

Citations

This map shows the geographic impact of Jesse Read's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jesse Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Read more than expected).

Fields of papers citing papers by Jesse Read

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse Read. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jesse Read. The network helps show where Jesse Read may publish in the future.

Co-authors

The 25 scholars most cited alongside Jesse Read, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jesse Read Line = papers co-authored together Jesse Read links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines SPIRE - Sciences Po Institutional REpository ·Lucas Thil, Jesse Read, Rim Kaddah, Guillaume Doquet	2025	1
2	Autoreplicative random forests with applications to missing value imputation Machine Learning ·Ekaterina Antonenko, Ander Carreño, Jesse Read	2024	0
3	From multi-label learning to cross-domain transfer: a model-agnostic approach Applied Intelligence ·Jesse Read	2023	2
4	Learning from Data Streams: An Overview and Update SSRN Electronic Journal ·Jesse Read, Indrė Žliobaitė	2023	3
5	A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams ACM Computing Surveys ·Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh Huong Le Nguyen, Albert Bifet	2022	38
6	River: Machine learning for streaming data in python Journal of Machine Learning Research ·Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet	2022	2
7	Learning from evolving data streams through ensembles of random patches Knowledge and Information Systems ·Heitor Murilo Gomes, Jesse Read, Albert Bifet, Robert J. Durrant	2021	17
8	Machine Learning and Knowledge Discovery in Databases. Research Track Lecture notes in computer science ·(unknown), Nuria Oliver, (unknown), Stefan Krämer, Jesse Read	2021	5
9	A Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers arXiv (Cornell University) ·Luca Martino, Jesse Read	2020	50
10	Better Sign Language Translation with STMC-Transformer SPIRE - Sciences Po Institutional REpository ·Kayo Yin, Jesse Read	2020	91
11	Correction to: Adaptive random forests for evolving data stream classification Machine Learning ·Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoffrey Holmes, Talel Abdessalem	2019	9
12	Machine learning for streaming data ACM SIGKDD Explorations Newsletter ·Heitor Murilo Gomes, Jesse Read, Albert Bifet, Jean Paul Barddal, João Gama	2019	154
13	An analysis of ambulatory blood pressure monitoring using multi-label classification Australasian Physical & Engineering Sciences in Medicine ·Khalida Douibi, Nesma Settouti, Mohammed Amine Chikh, Jesse Read, Mohamed Malik Benabid	2018	6
14	Scikit-Multiflow: A Multi-output Streaming Framework SPIRE - Sciences Po Institutional REpository ·Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem	2018	2
15	Adaptive random forests for evolving data stream classification Machine Learning ·Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfharinger, Geoffrey Holmes, Talel Abdessalem Hit paper breakdown →	2017	473
16	Echo state hoeffding tree learning Asian Conference on Machine Learning ·Diego Marrón, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguadé, José R. Herrero	2016	1
17	Data stream classification using random feature functions and novel method combinations Journal of Systems and Software ·Diego Marrón, Jesse Read, Albert Bifet, Nacho Navarro	2016	12
18	Deep learning in partially-labeled data streams Jesse Read, Fernando Pérez‐Cruz, Albert Bifet	2015	23
19	Efficient Monte Carlo Optimization for Multi-dimensional Classifier Chains arXiv (Cornell University) ·Jesse Read, Luca Martino, David Luengo	2012	2
20	A pruned problem transformation method for multi-label classification Jesse Read	2008	61

About Jesse Read

Jesse Read is a scholar working on Artificial Intelligence, Signal Processing, Statistics and Probability, Information Systems and Computer Networks and Communications, having authored 63 papers that have together received 3.8k indexed citations. Recurring topics across this work include Data Stream Mining Techniques (22 papers), Text and Document Classification Technologies (18 papers), Machine Learning and Data Classification (15 papers), Anomaly Detection Techniques and Applications (11 papers), Time Series Analysis and Forecasting (10 papers), Spam and Phishing Detection (7 papers), Machine Learning in Bioinformatics (6 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Artificial Intelligence (3.0k citations), Signal Processing (425 citations), Computer Vision and Pattern Recognition (801 citations), Information Systems (742 citations) and Human-Computer Interaction (95 citations). Jesse Read has collaborated with scholars based in France, Spain and Finland. Frequent co-authors include Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Luca Martino, Heitor Murilo Gomes, Jean Paul Barddal, David Luengo, Talel Abdessalem and Fabrício Enembreck. Their work appears in journals such as Machine Learning, Pattern Recognition, ACM Computing Surveys, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery and Ecological Informatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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