Bernardete Ribeiro
Impact in
- Artificial Intelligence top 1%
- Imbalanced Data Classification Techniques
- Data Stream Mining Techniques
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- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Imbalanced Data Classification Techniques 24
- Neural Networks and Applications 21
- Text and Document Classification Technologies 20
- Machine Learning and Data Classification 14
- Data Stream Mining Techniques 14
- Machine Learning and Algorithms 11
- Co-authors
- Catarina SilvaNing ChenFrancisco C. PereiraAna de AlmeidaMarisa FigueiredoFilipe RodriguesNoel LopesAn Chen
- Journals
- Expert Systems with Applications (6 papers)Neural Computing and Applications (5 papers)Neurocomputing (3 papers)Journal of Cheminformatics (3 papers)Applied Sciences (3 papers)
- Partner nations
- PortugalUnited StatesChina
In The Last Decade
Bernardete Ribeiro
199 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 165
- Artificial Intelligence 1.2k
- Computer Science Applications 161
- Accounting 337
- Computational Mathematics 16
- Computer Vision and Pattern Recognition 476
Countries citing papers authored by Bernardete Ribeiro
This map shows the geographic impact of Bernardete Ribeiro'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 Bernardete Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernardete Ribeiro more than expected).
Fields of papers citing papers by Bernardete Ribeiro
This network shows the impact of papers produced by Bernardete Ribeiro. 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 Bernardete Ribeiro. The network helps show where Bernardete Ribeiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernardete Ribeiro, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 24 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 1 | |
| 10 | 2020 | 19 | |
| 11 | 2019 | 6 | |
| 12 | 2018 | 6 | |
| 13 | Gaussian Process Classification and Active Learning with Multiple Annotators | 2014 | 47 |
| 14 | 2012 | 2 | |
| 15 | Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I | 2007 | 4 |
| 16 | Biased Support Vector Machines and Kernel Methods for Intrusion Detection | 2007 | 2 |
| 17 | Tuning parameters of the simple forecasting models | 2006 | 2 |
| 18 | Computational intelligence in manufacturing quality control | 2004 | 0 |
| 19 | Learning adaptive kernels for model diagnosis | 2003 | 1 |
| 20 | On the Evaluation of Text Processing in Text Categorization. | 2003 | 1 |
About Bernardete Ribeiro
Bernardete Ribeiro is a scholar working on Computational Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science Applications and Accounting, having authored 210 papers that have together received 3.0k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (24 papers), Financial Distress and Bankruptcy Prediction (21 papers), Neural Networks and Applications (21 papers), Text and Document Classification Technologies (20 papers), Computational Drug Discovery Methods (15 papers), Machine Learning and Data Classification (14 papers), Data Stream Mining Techniques (14 papers) and Machine Learning and Algorithms (11 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Science Applications (161 citations), Accounting (337 citations), Computational Mathematics (16 citations) and Computer Vision and Pattern Recognition (476 citations). Bernardete Ribeiro has collaborated with scholars based in Portugal, United States and China. Frequent co-authors include Catarina Silva, Ning Chen, Francisco C. Pereira, Ana de Almeida, Marisa Figueiredo, Filipe Rodrigues, Noel Lopes, An Chen, Joel P. Arrais and Armando Vieira. Their work appears in journals such as Expert Systems with Applications, Neural Computing and Applications, Neurocomputing, Journal of Cheminformatics and Applied Sciences.
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.