Yoav Freund
- Artificial Intelligence top 0.01%
- Machine Learning and Algorithms 36
- Machine Learning and Data Classification 13
- Algorithms and Data Compression 9
- Neural Networks and Applications 7
- Imbalanced Data Classification Techniques 6
- Computer Vision and Pattern Recognition top 0.05%
- Face and Expression Recognition 8
-
- Advanced Bandit Algorithms Research 11
- Signal Processing top 0.1%
- Information Systems top 0.1%
-
- Optimization and Search Problems 8
- Co-authors
- Robert E. SchapirePeter L. BartlettNicolò Cesa‐BianchiPeter AuerLlew MasonH. Sebastian SeungEli ShamirNaftali Tishby
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionManagement Science and Operations Research
- Journals
- Machine Learning (5 papers)Information and Computation (3 papers)BMC Bioinformatics (3 papers)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
Yoav Freund
87 papers receiving 28.7k citations
Hit Papers
Peers
Comparison fields: 5 of 228
- Artificial Intelligence 15.8k
- Computer Vision and Pattern Recognition 8.2k
- Management Science and Operations Research 2.9k
- Signal Processing 2.3k
- Information Systems 2.9k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | An adaptive nearest neighbor rule for classification | 2019 | 1 |
| 2 | Faster Boosting with Smaller Memory | 2019 | 1 |
| 3 | 2011 | 9 | |
| 4 | An online learning-based framework for tracking | 2010 | 2 |
| 5 | 2009 | 17 | |
| 6 | 2008 | 0 | |
| 7 | Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131-156, 2008 | 2008 | 2 |
| 8 | Learning the structure of manifolds using random projections | 2007 | 70 |
| 9 | 2007 | 403 | |
| 10 | Why averaging classifiers can protect against overfitting. | 2001 | 21 |
| 11 | Continuous Drifting Games | 2000 | 3 |
| 12 | The Alternating Decision Tree Learning Algorithmbreakdown → | 1999 | 511 |
| 13 | Boosting the margin: A new explanation for the effectiveness of voting methods | 1997 | 395 |
| 14 | Proceedings of the tenth annual conference on Computational learning theory | 1997 | 8 |
| 15 | A Decision-Theoretic Generalization of On-Line Learning and an Application to Boostingbreakdown → | 1997 | 12745 |
| 16 | Experiments with a new boosting algorithmbreakdown → | 1996 | 5027 |
| 17 | Selectively Sensitive Identification of Connectivity Matrices in Linear Elastic Systems | 1995 | 1 |
| 18 | Information, Prediction, and Query by Committee | 1992 | 56 |
| 19 | Unsupervised learning of distributions on binary vectors using two layer networks | 1991 | 173 |
| 20 | 1990 | 79 |
About Yoav Freund
Yoav Freund is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Biophysics, having authored 89 papers that have together received 31.0k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (36 papers), Machine Learning and Data Classification (13 papers), Advanced Bandit Algorithms Research (11 papers), Algorithms and Data Compression (9 papers), Face and Expression Recognition (8 papers), Optimization and Search Problems (8 papers), Neural Networks and Applications (7 papers) and Imbalanced Data Classification Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (15.8k citations), Computer Vision and Pattern Recognition (8.2k citations), Management Science and Operations Research (2.9k citations), Signal Processing (2.3k citations) and Information Systems (2.9k 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, H. Sebastian Seung, Eli Shamir, Naftali Tishby, Yoram Singer and David Haussler. Their work appears in journals such as Machine Learning, Information and Computation, BMC Bioinformatics, Journal of Computer and System Sciences and The Annals of Statistics.
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.