Adrien Bibal
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 10%
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
Papers in
-
- Explainable Artificial Intelligence (XAI) 7
- Neural Networks and Applications 3
- Machine Learning and Data Classification 3
- Advanced Clustering Algorithms Research 3
- Adversarial Robustness in Machine Learning 2
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- Data Visualization and Analytics 5
- Face and Expression Recognition 4
- Co-authors
- Benoît Frénay (17 shared papers)Alexandre de Streel (1 shared paper)Thomas François (3 shared papers)Sébastien Combéfis (1 shared paper)Xiaoou Wang (1 shared paper)Peter Van Roy (1 shared paper)Fredrik Löfman (1 shared paper)Dan T. D. Nguyen (1 shared paper)
- Journals
- Neurocomputing (3 papers)IEEE Transactions on Artificial Intelligence (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)Physics in Medicine and Biology (1 paper)Array (1 paper)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Adrien Bibal
23 papers receiving 380 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 29
- Artificial Intelligence 220
- Safety Research 38
- Computer Science Applications 19
- Radiation 24
Countries citing papers authored by Adrien Bibal
This map shows the geographic impact of Adrien Bibal'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 Adrien Bibal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrien Bibal more than expected).
Fields of papers citing papers by Adrien Bibal
This network shows the impact of papers produced by Adrien Bibal. 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 Adrien Bibal. The network helps show where Adrien Bibal may publish in the future.
Co-authors
The 24 scholars most cited alongside Adrien Bibal, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 113 | |
| 2 | Interpretability of machine learning models and representations: an introduction. | 2016 | 62 |
| 3 | 2022 | 58 | |
| 4 | 2022 | 49 | |
| 5 | 2023 | 27 | |
| 6 | Recasting a traditional course into a MOOC by means of a SPOC | 2014 | 21 |
| 7 | 2019 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2022 | 8 | |
| 10 | Finding the most interpretable MDS rotation for sparse linear models based on external features. | 2018 | 7 |
| 11 | 2021 | 6 | |
| 12 | Achieving Rotational Invariance with Bessel-Convolutional Neural Networks | 2021 | 5 |
| 13 | 2021 | 5 | |
| 14 | ML + FV = ♡? A Survey on the Application of Machine Learning to Formal Verification. | 2018 | 4 |
| 15 | GanoDIP - GAN Anomaly Detection through Intermediate Patches:a PCBA Manufacturing Case | 2021 | 4 |
| 16 | 2021 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 3 | |
| 20 | Explaining t-SNE Embeddings Locally by Adapting LIME. | 2020 | 2 |
About Adrien Bibal
Adrien Bibal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health Informatics, Computational Mathematics and Computer Graphics and Computer-Aided Design, having authored 23 papers that have together received 407 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (7 papers), Data Visualization and Analytics (5 papers), Face and Expression Recognition (4 papers), Neural Networks and Applications (3 papers), Machine Learning and Data Classification (3 papers), Advanced Clustering Algorithms Research (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (29 citations), Artificial Intelligence (220 citations), Safety Research (38 citations), Computer Science Applications (19 citations) and Radiation (24 citations). Adrien Bibal has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Benoît Frénay, Alexandre de Streel, Thomas François, Sébastien Combéfis, Xiaoou Wang, Peter Van Roy, Fredrik Löfman, Dan T. D. Nguyen, Gilmer Valdés and Mats Holmström. Their work appears in journals such as Neurocomputing, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Visualization and Computer Graphics, Physics in Medicine and Biology and Array.
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.