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
- AI-based Problem Solving and Planning 3
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- Face and Expression Recognition 6
- Advanced Image and Video Retrieval Techniques 4
- Co-authors
- Bernhard SchölkopfS. Sathiya KeerthiEric MjolsnessVignesh JagadeeshHao ZhangZhicheng YanYizhou YuRobinson Piramuthu
- Journals
- Journal of Machine Learning Research (2 papers)Machine Learning (1 paper)Artificial Intelligence (1 paper)Science (1 paper)ICGA Journal (1 paper)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Dennis DeCoste
39 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Computer Vision and Pattern Recognition 924
- Artificial Intelligence 1.0k
- Computational Mathematics 11
- Signal Processing 157
- Media Technology 126
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum | 2019 | 23 |
| 2 | HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition Hit paper breakdown → | 2015 | 482 |
| 3 | Compact Random Feature Maps | 2014 | 27 |
| 4 | Large-Scale Kernel Machines (Neural Information Processing) | 2007 | 10 |
| 5 | 2006 | 184 | |
| 6 | 2005 | 205 | |
| 7 | 2005 | 5 | |
| 8 | 2004 | 45 | |
| 9 | A Hybrid Global MISR Cloud Mask using Support Vector Machines and Active Learning | 2003 | 1 |
| 10 | Sparse Greedy Minimax Probability Machine Classification | 2003 | 7 |
| 11 | Techniques for Onboard Prioritization of Science Data for Transmission | 2003 | 3 |
| 12 | Fast query-optimized kernel machine classification via incremental approximate nearest support vectors | 2003 | 18 |
| 13 | Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry | 2002 | 17 |
| 14 | 2002 | 13 | |
| 15 | Visualizing data mining models | 2001 | 19 |
| 16 | Visualizing Mercer Kernel feature spaces via kernelized locally-linear embeddings | 2001 | 20 |
| 17 | 2001 | 261 | |
| 18 | Adaptive Resource Profiling | 1999 | 1 |
| 19 | The future of chess-playing technologies and the significance of Kasparov versus deep blue | 1997 | 9 |
| 20 | Mining multivariate time-series sensor data to discover behavior envelopes | 1997 | 12 |
About Dennis DeCoste
Dennis DeCoste is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering and Human-Computer Interaction, 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), Machine Learning and Data Classification (6 papers), Face and Expression Recognition (6 papers), Fault Detection and Control Systems (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Time Series Analysis and Forecasting (3 papers) and AI-based Problem Solving and Planning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (924 citations), Artificial Intelligence (1.0k citations), Computational Mathematics (11 citations), Signal Processing (157 citations) and Media Technology (126 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, Vignesh Jagadeesh, Hao Zhang, Zhicheng Yan, Yizhou Yu, Robinson Piramuthu, Di Wei and Olivier Chapelle. Their work appears in journals such as Journal of Machine Learning Research, Machine Learning, Artificial Intelligence, Science 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.