Ata Kabán
Impact in
- Artificial Intelligence top 2%
- Bayesian Methods and Mixture Models
- Metaheuristic Optimization Algorithms Research
- Machine Learning and Data Classification
- Neural Networks and Applications
- Topic Modeling
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in
-
- Statistical Methods and Inference 9
-
- Bayesian Methods and Mixture Models 16
- Machine Learning and Algorithms 14
- Machine Learning and Data Classification 10
- Metaheuristic Optimization Algorithms Research 9
- Co-authors
- Mark GirolamiRobert J. DurrantJakramate BootkrajangElla BinghamBenoît FrénayJianyong SunPeter TiňoJonathan M. Garibaldi
- Journals
- Machine Learning (5 papers)Neurocomputing (4 papers)Pattern Recognition Letters (3 papers)Data Mining and Knowledge Discovery (3 papers)Statistics and Computing (2 papers)
- Partner nations
- United KingdomNew ZealandFinland
In The Last Decade
Ata Kabán
79 papers receiving 984 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 707
- Signal Processing 198
- Computational Mathematics 10
- Computer Vision and Pattern Recognition 322
- Statistics and Probability 87
Countries citing papers authored by Ata Kabán
This map shows the geographic impact of Ata Kabán'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 Ata Kabán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ata Kabán more than expected).
Fields of papers citing papers by Ata Kabán
This network shows the impact of papers produced by Ata Kabán. 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 Ata Kabán. The network helps show where Ata Kabán may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ata Kabán, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | Optimistic bounds for multi-output learning | 2020 | 2 |
| 5 | On Compressive Ensemble Induced Regularisation:: How Close is the Finite Ensemble Precision Matrix to the Infinite Ensemble? | 2017 | 1 |
| 6 | A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections | 2015 | 3 |
| 7 | Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension | 2015 | 1 |
| 8 | New Bounds on Compressive Linear Least Squares Regression | 2014 | 21 |
| 9 | A Comprehensive Introduction to Label Noise | 2014 | 57 |
| 10 | Sharp Generalization Error Bounds for Randomly-projected Classifiers | 2013 | 14 |
| 11 | Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions | 2013 | 10 |
| 12 | Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space | 2012 | 5 |
| 13 | 2012 | 9 | |
| 14 | Multi-class classification in the presence of labelling errors. | 2011 | 11 |
| 15 | 2009 | 49 | |
| 16 | 2007 | 3 | |
| 17 | 2006 | 10 | |
| 18 | 2004 | 19 | |
| 19 | Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles | 2003 | 24 |
| 20 | 2001 | 1 |
About Ata Kabán
Ata Kabán is a scholar working on Statistics and Probability, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (19 papers), Face and Expression Recognition (18 papers), Bayesian Methods and Mixture Models (16 papers), Machine Learning and Algorithms (14 papers), Machine Learning and Data Classification (10 papers), Statistical Methods and Inference (9 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Blind Source Separation Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (707 citations), Signal Processing (198 citations), Computational Mathematics (10 citations), Computer Vision and Pattern Recognition (322 citations) and Statistics and Probability (87 citations). Ata Kabán has collaborated with scholars based in United Kingdom, New Zealand and Finland. Frequent co-authors include Mark Girolami, Robert J. Durrant, Jakramate Bootkrajang, Ella Bingham, Benoît Frénay, Jianyong Sun, Peter Tiňo, Jonathan M. Garibaldi, Mikael Fortelius and Yi Sun. Their work appears in journals such as Machine Learning, Neurocomputing, Pattern Recognition Letters, Data Mining and Knowledge Discovery and Statistics and Computing.
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.