Gavin Brown
Impact in
- Artificial Intelligence top 0.5%
- Machine Learning and Data Classification
- Neural Networks and Applications
- Imbalanced Data Classification Techniques
- Evolutionary Algorithms and Applications
- Anomaly Detection Techniques and Applications
- Metaheuristic Optimization Algorithms Research
-
- Face and Expression Recognition
Papers in
-
- Machine Learning and Data Classification 15
- Neural Networks and Applications 13
- Evolutionary Algorithms and Applications 11
- Metaheuristic Optimization Algorithms Research 7
- Anomaly Detection Techniques and Applications 4
-
- Face and Expression Recognition 9
- Co-authors
- Jeremy Wyatt (4 shared papers)Mikel Luján (15 shared papers)Adam Pocock (7 shared papers)Mingjie Zhao (2 shared papers)Xin Yao (3 shared papers)Rachel Harris (1 shared paper)Peter Tiňo (1 shared paper)Konstantinos Sechidis (10 shared papers)
- Journals
- Machine Learning (4 papers)Journal of Machine Learning Research (4 papers)Information Sciences (2 papers)Nature Electronics (2 papers)Neurocomputing (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Gavin Brown
64 papers receiving 2.7k citations
Gavin Brown's Hit Papers
Peers
Comparison fields: 5 of 172
- Artificial Intelligence 1.5k
- Computer Vision and Pattern Recognition 731
- Signal Processing 229
- Hardware and Architecture 104
- Software 57
Countries citing papers authored by Gavin Brown
This map shows the geographic impact of Gavin Brown'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 Gavin Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Brown more than expected).
Fields of papers citing papers by Gavin Brown
This network shows the impact of papers produced by Gavin Brown. 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 Gavin Brown. The network helps show where Gavin Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Conditional likelihood maximisation: a unifying framework for information theoretic feature selection Hit paper breakdown → | 2012 | 785 |
| 2 | Diversity creation methods: a survey and categorisation Hit paper breakdown → | 2004 | 622 |
| 3 | 2005 | 241 | |
| 4 | A New Perspective for Information Theoretic Feature Selection | 2009 | 106 |
| 5 | Diversity in Neural Network Ensembles | 2004 | 90 |
| 6 | 2020 | 88 | |
| 7 | 2018 | 64 | |
| 8 | 2010 | 54 | |
| 9 | 2018 | 46 | |
| 10 | On the stability of feature selection algorithms | 2017 | 46 |
| 11 | 2016 | 45 | |
| 12 | 2019 | 40 | |
| 13 | 2017 | 35 | |
| 14 | 2017 | 33 | |
| 15 | Beyond Fano's inequality: bounds on the optimal F-score, BER, and cost-sensitive risk and their implications | 2013 | 28 |
| 16 | 2010 | 27 | |
| 17 | 2007 | 25 | |
| 18 | 2002 | 24 | |
| 19 | 2019 | 23 | |
| 20 | 2018 | 23 |
About Gavin Brown
Gavin Brown is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Computer Networks and Communications, having authored 65 papers that have together received 2.8k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (15 papers), Neural Networks and Applications (13 papers), Evolutionary Algorithms and Applications (11 papers), Face and Expression Recognition (9 papers), Parallel Computing and Optimization Techniques (7 papers), Metaheuristic Optimization Algorithms Research (7 papers), Anomaly Detection Techniques and Applications (4 papers) and Rough Sets and Fuzzy Logic (4 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (731 citations), Signal Processing (229 citations), Hardware and Architecture (104 citations) and Software (57 citations). Gavin Brown has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Jeremy Wyatt, Mikel Luján, Adam Pocock, Mingjie Zhao, Xin Yao, Rachel Harris, Peter Tiňo, Konstantinos Sechidis, Jeremy Singer and James A. R. Marshall. Their work appears in journals such as Machine Learning, Journal of Machine Learning Research, Information Sciences, Nature Electronics and Neurocomputing.
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.