Albert Bifet
Impact in
- Artificial Intelligence top 0.05%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Signal Processing top 0.2%
- Time Series Analysis and Forecasting
Papers in
-
- Time Series Analysis and Forecasting 59
-
- Data Stream Mining Techniques 127
- Anomaly Detection Techniques and Applications 59
- Machine Learning and Data Classification 54
- Imbalanced Data Classification Techniques 11
- Co-authors
- Ricard GavaldàBernhard PfahringerGeoffrey HolmesJoão GamaIndrė ŽliobaitėMykola PechenizkiyAbdelhamid BouchachiaRichard Kirkby
- Journals
- Machine Learning (8 papers)Expert Systems with Applications (6 papers)Data Mining and Knowledge Discovery (4 papers)Information Sciences (3 papers)Journal of Machine Learning Research (3 papers)
- Partner nations
- FranceNew ZealandSpain
In The Last Decade
Albert Bifet
160 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 6.9k
- Signal Processing 1.9k
- Computer Networks and Communications 1.8k
- Management Science and Operations Research 826
- Information Systems 1.1k
Countries citing papers authored by Albert Bifet
This map shows the geographic impact of Albert Bifet'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 Albert Bifet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Bifet more than expected).
Fields of papers citing papers by Albert Bifet
This network shows the impact of papers produced by Albert Bifet. 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 Albert Bifet. The network helps show where Albert Bifet may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Bifet, 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 | ASML: A Scalable and Efficient AutoML Solution for Data Streams | 2024 | 1 |
| 2 | 2024 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 0 | |
| 7 | 2022 | 38 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 74 | |
| 13 | 2019 | 26 | |
| 14 | Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets. | 2019 | 8 |
| 15 | 2019 | 9 | |
| 16 | Echo state hoeffding tree learning | 2016 | 1 |
| 17 | SAMOA: scalable advanced massive online analysis | 2015 | 92 |
| 18 | Proceedings of the 3rd International Conference on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications - Volume 36 | 2014 | 1 |
| 19 | Benchmarking Stream Clustering Algorithms within the MOA Framework | 2010 | 2 |
| 20 | Learning from Time-Changing Data with Adaptive Windowing Hit paper breakdown → | 2007 | 970 |
About Albert Bifet
Albert Bifet is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Management Science and Operations Research and Computer Networks and Communications, having authored 171 papers that have together received 8.3k indexed citations. Recurring topics across this work include Data Stream Mining Techniques (127 papers), Time Series Analysis and Forecasting (59 papers), Anomaly Detection Techniques and Applications (59 papers), Machine Learning and Data Classification (54 papers), Network Security and Intrusion Detection (16 papers), Data Mining Algorithms and Applications (15 papers), Advanced Bandit Algorithms Research (12 papers) and Imbalanced Data Classification Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (6.9k citations), Signal Processing (1.9k citations), Computer Networks and Communications (1.8k citations), Management Science and Operations Research (826 citations) and Information Systems (1.1k citations). Albert Bifet has collaborated with scholars based in France, New Zealand and Spain. Frequent co-authors include Ricard Gavaldà, Bernhard Pfahringer, Geoffrey Holmes, João Gama, Indrė Žliobaitė, Mykola Pechenizkiy, Abdelhamid Bouchachia, Richard Kirkby, Heitor Murilo Gomes and Jesse Read. Their work appears in journals such as Machine Learning, Expert Systems with Applications, Data Mining and Knowledge Discovery, Information Sciences and Journal of Machine Learning Research.
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.