Ousmane Dia
Impact in
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- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Reinforcement Learning in Robotics
Papers in
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- Anomaly Detection Techniques and Applications 2
- Adversarial Robustness in Machine Learning 2
- Neural Networks and Applications 1
- Machine Learning and Data Classification 1
- Health 1
- Vaccine Coverage and Hesitancy 1
- Co-authors
- Jaesik Yoon (1 shared paper)Yoshua Bengio (1 shared paper)Taesup Kim (1 shared paper)Sungjin Ahn (1 shared paper)Sungwoong Kim (1 shared paper)Anqi Xu (1 shared paper)Archy O. de Berker (1 shared paper)Nina Schwalbe (1 shared paper)
- Journals
- PLoS ONE (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Ousmane Dia
5 papers receiving 98 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 89
- Acoustics and Ultrasonics 2
- Computer Vision and Pattern Recognition 41
- Signal Processing 9
- Health 5
Countries citing papers authored by Ousmane Dia
This map shows the geographic impact of Ousmane Dia'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 Ousmane Dia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ousmane Dia more than expected).
Fields of papers citing papers by Ousmane Dia
This network shows the impact of papers produced by Ousmane Dia. 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 Ousmane Dia. The network helps show where Ousmane Dia may publish in the future.
Co-authors
The 24 scholars most cited alongside Ousmane Dia, 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 | Bayesian Model-Agnostic Meta-Learning | 2018 | 73 |
| 2 | 2019 | 25 | |
| 3 | 2010 | 9 | |
| 4 | 2023 | 1 | |
| 5 | Retrieving Signals with Deep Complex Extractors | 2019 | 1 |
About Ousmane Dia
Ousmane Dia is a scholar working on Artificial Intelligence, Health, Computer Vision and Pattern Recognition, Finance and Epidemiology, having authored 5 papers that have together received 109 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers), Vaccine Coverage and Hesitancy (1 paper), Digital Media Forensic Detection (1 paper), HIV, Drug Use, Sexual Risk (1 paper), Healthcare Systems and Reforms (1 paper), Neural Networks and Applications (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Artificial Intelligence (89 citations), Acoustics and Ultrasonics (2 citations), Computer Vision and Pattern Recognition (41 citations), Signal Processing (9 citations) and Health (5 citations). Ousmane Dia has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Jaesik Yoon, Yoshua Bengio, Taesup Kim, Sungjin Ahn, Sungwoong Kim, Anqi Xu, Archy O. de Berker, Nina Schwalbe, Peter M. Hansen and David J. Pyle. Their work appears in journals such as PLoS ONE and arXiv (Cornell University).
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.