Jacob Whitehill
Jacob Whitehill publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, on topics such as Imbalanced Data Classification Techniques, Adversarial Robustness in Machine Learning and Online Learning and Analytics.
- World rank
- #323,274 of 1,633,909 ranked researchers
- Rank in United States
- #119,854 of 358,040
- Works
- 38
- Citations
- 182
- Citations per work
- 4.8
What does Jacob Whitehill research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence45% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Computer Science Applications13% of their works
- 4Experimental and Cognitive Psychology6% of their works
- 5Electrical and Electronic Engineering4% of their works
- 6Education4% of their works
Research topics
- Imbalanced Data Classification Techniques
- Adversarial Robustness in Machine Learning
- Online Learning and Analytics
- Face and Expression Recognition
- Privacy-Preserving Technologies in Data
- Intelligent Tutoring Systems and Adaptive Learning
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
Which keywords describe Jacob Whitehill's research?
The keywords of their largest research topics: Ensemble Methods, Machine Learning, Classification, Imbalanced Data, SMOTE, Meta-Learning, Adversarial Examples and Deep Learning.
- Transfer Learning
- Intelligent Tutoring Systems
- Federated Learning
- Differential Privacy
- Learning Analytics
- Educational Data Mining
- Deep Learning
- Meta-Learning
- Imbalanced Data
- Machine Learning
- Ensemble Methods
- Classification
- SMOTE
- Adversarial Examples
- Dimensionality Reduction
- Face Recognition
- Affective States
- Domain Adaptation
- Hyperparameter Optimization
- 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 20 words, with their numbers
- Ensemble Methods82 topics
- Machine Learning83 topics
- Classification72 topics
- Imbalanced Data51 topic
- SMOTE51 topic
- Meta-Learning42 topics
- Adversarial Examples31 topic
- Deep Learning31 topic
- Dimensionality Reduction31 topic
- Educational Data Mining31 topic
- Face Recognition31 topic
- Learning Analytics31 topic
- Affective States21 topic
- Differential Privacy21 topic
- Domain Adaptation21 topic
- Federated Learning21 topic
- Hyperparameter Optimization21 topic
- Intelligent Tutoring Systems21 topic
- Noisy Labels21 topic
- Transfer Learning21 topic
Where does Jacob Whitehill work?
Jacob Whitehill's main affiliation in the publication record is Worcester Polytechnic Institute, United States.
How many publications and citations does Jacob Whitehill have?
Science Explorer counts 38 works and 182 citations for Jacob Whitehill, ranking #323,274 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.