Dmitry Pechyony
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Algorithms
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Machine Learning and ELM
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Machine Learning and Algorithms 9
- Machine Learning and Data Classification 4
- Machine Learning and ELM 4
- Domain Adaptation and Few-Shot Learning 2
- Neural Networks and Applications 2
- Algorithms and Data Compression 2
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- Face and Expression Recognition 3
- Co-authors
- Vladimir Vapnik (4 shared papers)Ran El‐Yaniv (5 shared papers)Akshay Vashist (1 shared paper)Rauf Izmailov (1 shared paper)Mehryar Mohri (1 shared paper)Corinna Cortes (1 shared paper)Rosie Jones (1 shared paper)Ashish Rastogi (1 shared paper)
- Journals
- Pattern Recognition Letters (2 papers)Investigative Radiology (1 paper)Machine Learning (1 paper)Journal of Artificial Intelligence Research (1 paper)Neural Information Processing Systems (2 papers)
- Partner nations
- United StatesIsrael
In The Last Decade
Dmitry Pechyony
12 papers receiving 217 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 176
- Computer Vision and Pattern Recognition 101
- Computational Mathematics 2
- Statistics and Probability 17
- Management Science and Operations Research 18
Countries citing papers authored by Dmitry Pechyony
This map shows the geographic impact of Dmitry Pechyony'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 Dmitry Pechyony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Pechyony more than expected).
Fields of papers citing papers by Dmitry Pechyony
This network shows the impact of papers produced by Dmitry Pechyony. 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 Dmitry Pechyony. The network helps show where Dmitry Pechyony may publish in the future.
Co-authors
The 10 scholars most cited alongside Dmitry Pechyony, 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 | On the theory of learning with Privileged Information | 2010 | 37 |
| 2 | 2010 | 37 | |
| 3 | 2008 | 29 | |
| 4 | Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions | 2012 | 28 |
| 5 | 2009 | 26 | |
| 6 | On the Theory of Learnining with Privileged Information | 2010 | 20 |
| 7 | 2008 | 14 | |
| 8 | 2008 | 11 | |
| 9 | Fast Optimization Algorithms for Solving SVM+ | 2013 | 9 |
| 10 | 2013 | 8 | |
| 11 | 2008 | 4 | |
| 12 | Superior Multi-Class Classification Through a Margin-Optimized Single Binary Problem | 2006 | 1 |
About Dmitry Pechyony
Dmitry Pechyony is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Management Science and Operations Research and Computer Networks and Communications, having authored 12 papers that have together received 224 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (9 papers), Machine Learning and Data Classification (4 papers), Machine Learning and ELM (4 papers), Face and Expression Recognition (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Neural Networks and Applications (2 papers), Algorithms and Data Compression (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (176 citations), Computer Vision and Pattern Recognition (101 citations), Computational Mathematics (2 citations), Statistics and Probability (17 citations) and Management Science and Operations Research (18 citations). Dmitry Pechyony has collaborated with scholars based in United States and Israel. Frequent co-authors include Vladimir Vapnik, Ran El‐Yaniv, Akshay Vashist, Rauf Izmailov, Mehryar Mohri, Corinna Cortes, Rosie Jones, Ashish Rastogi, Roni Khardon and Elad Yom‐Tov. Their work appears in journals such as Pattern Recognition Letters, Investigative Radiology, Machine Learning, Journal of Artificial Intelligence Research and Neural Information Processing Systems.
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.