Dennis DeCoste
Impact in
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 1%
- Neural Networks and Applications
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
Papers in
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- Neural Networks and Applications 12
- Machine Learning and Algorithms 7
- Machine Learning and Data Classification 6
- Anomaly Detection Techniques and Applications 3
- Domain Adaptation and Few-Shot Learning 3
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- Face and Expression Recognition 6
- Advanced Image and Video Retrieval Techniques 4
- Co-authors
- Bernhard Schölkopf (1 shared paper)S. Sathiya Keerthi (3 shared papers)Eric Mjolsness (1 shared paper)Robinson Piramuthu (1 shared paper)Hao Zhang (1 shared paper)Di Wei (1 shared paper)Yizhou Yu (1 shared paper)Zhicheng Yan (1 shared paper)
- Journals
- Journal of Machine Learning Research (2 papers)Science (1 paper)Machine Learning (1 paper)Artificial Intelligence (1 paper)ICGA Journal (1 paper)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Dennis DeCoste
39 papers receiving 2.0k citations
Dennis DeCoste's Hit Papers
Peers
Comparison fields: 5 of 156
- Computer Vision and Pattern Recognition 927
- Artificial Intelligence 1.0k
- Computational Mathematics 11
- Signal Processing 157
- Media Technology 124
Countries citing papers authored by Dennis DeCoste
This map shows the geographic impact of Dennis DeCoste'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 Dennis DeCoste with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis DeCoste more than expected).
Fields of papers citing papers by Dennis DeCoste
This network shows the impact of papers produced by Dennis DeCoste. 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 Dennis DeCoste. The network helps show where Dennis DeCoste may publish in the future.
Co-authors
The 25 scholars most cited alongside Dennis DeCoste, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition Hit paper breakdown → | 2015 | 493 |
| 2 | 2002 | 395 | |
| 3 | 2001 | 263 | |
| 4 | 2005 | 206 | |
| 5 | 2006 | 183 | |
| 6 | 2006 | 110 | |
| 7 | 2000 | 57 | |
| 8 | 2006 | 56 | |
| 9 | 2004 | 45 | |
| 10 | 2004 | 35 | |
| 11 | Compact Random Feature Maps | 2014 | 27 |
| 12 | Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum | 2019 | 23 |
| 13 | Visualizing Mercer Kernel feature spaces via kernelized locally-linear embeddings | 2001 | 20 |
| 14 | Visualizing data mining models | 2001 | 19 |
| 15 | Fast query-optimized kernel machine classification via incremental approximate nearest support vectors | 2003 | 18 |
| 16 | Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry | 2002 | 16 |
| 17 | 2002 | 13 | |
| 18 | Mining multivariate time-series sensor data to discover behavior envelopes | 1997 | 12 |
| 19 | Large-Scale Kernel Machines (Neural Information Processing) | 2007 | 10 |
| 20 | 1991 | 10 |
About Dennis DeCoste
Dennis DeCoste is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications and Information Systems, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Machine Learning and Algorithms (7 papers), Face and Expression Recognition (6 papers), Machine Learning and Data Classification (6 papers), Fault Detection and Control Systems (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (927 citations), Artificial Intelligence (1.0k citations), Computational Mathematics (11 citations), Signal Processing (157 citations) and Media Technology (124 citations). Dennis DeCoste has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Bernhard Schölkopf, S. Sathiya Keerthi, Eric Mjolsness, Robinson Piramuthu, Hao Zhang, Di Wei, Yizhou Yu, Zhicheng Yan, Vignesh Jagadeesh and Olivier Chapelle. Their work appears in journals such as Journal of Machine Learning Research, Science, Machine Learning, Artificial Intelligence and ICGA Journal.
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.