Anton Akusok
Impact in
- Artificial Intelligence top 5%
- Machine Learning and ELM
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Internet Traffic Analysis and Secure E-voting
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- Face and Expression Recognition
Papers in
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- Machine Learning and ELM 20
- Domain Adaptation and Few-Shot Learning 10
- Neural Networks and Applications 6
- Stochastic Gradient Optimization Techniques 2
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- Face and Expression Recognition 8
- Co-authors
- Yoan Miché (22 shared papers)Amaury Lendasse (23 shared papers)Kaj-Mikael Björk (15 shared papers)Rui Nian (6 shared papers)Emil Eirola (4 shared papers)Dušan Sovilj (1 shared paper)József Hegedüs (1 shared paper)Maite Termenón (2 shared papers)
- Journals
- Neurocomputing (6 papers)Cognitive Computation (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)IEEE Intelligent Systems (1 paper)IEEE Access (1 paper)
- Partner nations
- FinlandUnited StatesChina
In The Last Decade
Anton Akusok
22 papers receiving 451 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 322
- Computer Vision and Pattern Recognition 79
- Signal Processing 39
- Computer Networks and Communications 81
- Management Science and Operations Research 26
Countries citing papers authored by Anton Akusok
This map shows the geographic impact of Anton Akusok'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 Anton Akusok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Akusok more than expected).
Fields of papers citing papers by Anton Akusok
This network shows the impact of papers produced by Anton Akusok. 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 Anton Akusok. The network helps show where Anton Akusok may publish in the future.
Co-authors
The 19 scholars most cited alongside Anton Akusok, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 195 | |
| 2 | 2015 | 81 | |
| 3 | 2017 | 64 | |
| 4 | 2014 | 29 | |
| 5 | 2015 | 15 | |
| 6 | 2015 | 15 | |
| 7 | 2015 | 14 | |
| 8 | 2016 | 13 | |
| 9 | 2018 | 6 | |
| 10 | 2015 | 5 | |
| 11 | 2014 | 5 | |
| 12 | 2016 | 5 | |
| 13 | 2019 | 3 | |
| 14 | 2017 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2015 | 3 | |
| 17 | ELM Clustering – Application to Bankruptcy Prediction | 2014 | 2 |
| 18 | 2018 | 2 | |
| 19 | Advanced query strategies for Active Learning with Extreme Learning Machines. | 2017 | 1 |
| 20 | ELMVIS: A nonlinear visualization technique using random permutations and ELMs | 2013 | 1 |
About Anton Akusok
Anton Akusok is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Cancer Research and Computer Networks and Communications, having authored 24 papers that have together received 467 indexed citations. Recurring topics across this work include Machine Learning and ELM (20 papers), Domain Adaptation and Few-Shot Learning (10 papers), Face and Expression Recognition (8 papers), Neural Networks and Applications (6 papers), Advanced Memory and Neural Computing (4 papers), MicroRNA in disease regulation (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Financial Distress and Bankruptcy Prediction (1 paper). The work is most often cited by research in Artificial Intelligence (322 citations), Computer Vision and Pattern Recognition (79 citations), Signal Processing (39 citations), Computer Networks and Communications (81 citations) and Management Science and Operations Research (26 citations). Anton Akusok has collaborated with scholars based in Finland, United States and China. Frequent co-authors include Yoan Miché, Amaury Lendasse, Kaj-Mikael Björk, Rui Nian, Emil Eirola, Dušan Sovilj, József Hegedüs, Maite Termenón, David Veganzones and Éric Séverin. Their work appears in journals such as Neurocomputing, Cognitive Computation, International Journal of Machine Learning and Cybernetics, IEEE Intelligent Systems and IEEE Access.
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.