Yoav Freund
Impact in
- Artificial Intelligence top 0.01%
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Imbalanced Data Classification Techniques
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Computer Vision and Pattern Recognition top 0.05%
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Machine Learning and Algorithms 40
- Machine Learning and Data Classification 12
- Algorithms and Data Compression 11
- Neural Networks and Applications 7
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- Advanced Bandit Algorithms Research 14
- Co-authors
- Robert E. Schapire (26 shared papers)Peter L. Bartlett (2 shared papers)Nicolò Cesa‐Bianchi (6 shared papers)Peter Auer (3 shared papers)Llew Mason (1 shared paper)Eli Shamir (2 shared papers)H. Sebastian Seung (2 shared papers)Naftali Tishby (2 shared papers)
- Journals
- Machine Learning (5 papers)BMC Bioinformatics (3 papers)Information and Computation (3 papers)The Annals of Statistics (2 papers)Journal of Computer and System Sciences (2 papers)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
Yoav Freund
90 papers receiving 36.0k citations
Yoav Freund's Hit Papers
Peers
Comparison fields: 5 of 231
- Artificial Intelligence 19.6k
- Computer Vision and Pattern Recognition 10.5k
- Management Science and Operations Research 3.5k
- Signal Processing 2.8k
- Information Systems 3.7k
Countries citing papers authored by Yoav Freund
This map shows the geographic impact of Yoav Freund'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 Yoav Freund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoav Freund more than expected).
Fields of papers citing papers by Yoav Freund
This network shows the impact of papers produced by Yoav Freund. 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 Yoav Freund. The network helps show where Yoav Freund may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoav Freund, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting Hit paper breakdown → | 1997 | 15202 |
| 2 | Experiments with a new boosting algorithm Hit paper breakdown → | 1996 | 5923 |
| 3 | A Short Introduction to Boosting Hit paper breakdown → | 1999 | 2206 |
| 4 | A desicion-theoretic generalization of on-line learning and an application to boosting Hit paper breakdown → | 1995 | 1835 |
| 5 | Boosting the margin: a new explanation for the effectiveness of voting methods Hit paper breakdown → | 1998 | 1790 |
| 6 | Boosting a Weak Learning Algorithm by Majority Hit paper breakdown → | 1995 | 1287 |
| 7 | The Nonstochastic Multiarmed Bandit Problem Hit paper breakdown → | 2002 | 1258 |
| 8 | Large margin classification using the perceptron algorithm Hit paper breakdown → | 1998 | 857 |
| 9 | Selective Sampling Using the Query by Committee Algorithm Hit paper breakdown → | 1997 | 823 |
| 10 | An Efficient Boosting Algorithm for Combining Preferences | 1998 | 676 |
| 11 | The Alternating Decision Tree Learning Algorithm Hit paper breakdown → | 1999 | 581 |
| 12 | 1999 | 495 | |
| 13 | Boosting the margin: A new explanation for the effectiveness of voting methods | 1997 | 452 |
| 14 | Experiment with a new boosting algorithm | 1996 | 431 |
| 15 | 2007 | 422 | |
| 16 | 1997 | 412 | |
| 17 | 1999 | 323 | |
| 18 | 2012 | 310 | |
| 19 | 1996 | 270 | |
| 20 | 2008 | 236 |
About Yoav Freund
Yoav Freund is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computer Networks and Communications, having authored 92 papers that have together received 38.3k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (40 papers), Advanced Bandit Algorithms Research (14 papers), Machine Learning and Data Classification (12 papers), Algorithms and Data Compression (11 papers), Face and Expression Recognition (9 papers), Optimization and Search Problems (9 papers), Neural Networks and Applications (7 papers) and Computability, Logic, AI Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (19.6k citations), Computer Vision and Pattern Recognition (10.5k citations), Management Science and Operations Research (3.5k citations), Signal Processing (2.8k citations) and Information Systems (3.7k citations). Yoav Freund has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Robert E. Schapire, Peter L. Bartlett, Nicolò Cesa‐Bianchi, Peter Auer, Llew Mason, Eli Shamir, H. Sebastian Seung, Naftali Tishby, Yoram Singer and David H. Haussler. Their work appears in journals such as Machine Learning, BMC Bioinformatics, Information and Computation, The Annals of Statistics and Journal of Computer and System 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.