Terrance DeVries
Terrance DeVries publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Epidemiology, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Generative Adversarial Networks and Image Synthesis.
- World rank
- #3,290,485 of 7,710,434 ranked researchers
- Rank in Canada
- #104,810 of 183,316
- Works
- 17
- Citations
- 3.5k
- Citations per work
- 208.7
What does Terrance DeVries research?
Terrance DeVries's work is mostly in Computer Science (80%), Medicine (9%), Psychology (2%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences1480.5%
- Computer Science1480.5%
- Health Sciences18.6%
- Medicine18.6%
- Everything else16.5%
- Social Sciences14.4%
- Psychology02.2%
- Social Sciences02.2%
- 1Computer Vision and Pattern Recognition46% of their works
- 2Artificial Intelligence35% of their works
- 3Epidemiology4% of their works
- 4Oncology4% of their works
- 5Experimental and Cognitive Psychology2% of their works
- 6Transportation2% of their works
Research topics
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- AI in cancer detection
- Explainable Artificial Intelligence (XAI)
- Machine Learning and Data Classification
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
Which keywords describe Terrance DeVries's research?
The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Representation Learning, Convolutional Neural Networks, Meta-Learning, Domain Adaptation, Transfer Learning and Deep Neural Networks.
- Stereo Vision
- Machine Learning Interpretability
- Interpretable Models
- Feature Matching
- Medical Image Analysis
- Object Detection
- Image Recognition
- Deep Neural Networks
- Domain Adaptation
- Convolutional Neural Networks
- Unsupervised Learning
- Deep Learning
- Representation Learning
- Meta-Learning
- Transfer Learning
- Generative Adversarial Networks
- Image Synthesis
- Histopathology Images
- Depth Estimation
- Hyperparameter Optimization
- Local Descriptors
- Noisy Labels
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 22 words, with their numbers
- Deep Learning134 topics
- Unsupervised Learning113 topics
- Representation Learning92 topics
- Convolutional Neural Networks72 topics
- Meta-Learning72 topics
- Domain Adaptation51 topic
- Transfer Learning51 topic
- Deep Neural Networks42 topics
- Generative Adversarial Networks41 topic
- Image Recognition41 topic
- Image Synthesis41 topic
- Object Detection41 topic
- Histopathology Images31 topic
- Medical Image Analysis31 topic
- Depth Estimation21 topic
- Feature Matching21 topic
- Hyperparameter Optimization21 topic
- Interpretable Models21 topic
- Local Descriptors21 topic
- Machine Learning Interpretability21 topic
- Noisy Labels21 topic
- Stereo Vision21 topic
Where does Terrance DeVries work?
Terrance DeVries's main affiliation in the publication record is University of Guelph, Canada.
How many publications and citations does Terrance DeVries have?
OpenAlex counts 17 works and 3,548 citations for Terrance DeVries, an h-index of 11, ranking #3,290,485 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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