Ashish Kapoor
Ashish Kapoor publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Gaussian Processes and Bayesian Inference, Machine Learning and Algorithms and Anomaly Detection Techniques and Applications.
- World rank
- #57,902 of 1,633,909 ranked researchers
- Rank in United States
- #26,363 of 358,040
- Works
- 53
- Citations
- 529
- Citations per work
- 10.0
What does Ashish Kapoor research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence47% of their works
- 2Computer Vision and Pattern Recognition14% of their works
- 3Signal Processing5% of their works
- 4Computer Networks and Communications4% of their works
- 5Aerospace Engineering4% of their works
- 6Experimental and Cognitive Psychology3% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Machine Learning and Algorithms
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Neural Networks and Applications
- Adversarial Robustness in Machine Learning
- Reinforcement Learning in Robotics
- Target Tracking and Data Fusion in Sensor Networks
Which keywords describe Ashish Kapoor's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Gaussian Processes, Bayesian Inference, Neural Networks, Sparse Regression, Variational Inference and Active Learning.
- Robustness
- Reinforcement Learning
- Nonlinear Estimation
- Adversarial Examples
- Noisy Labels
- Anomaly Detection
- Active Learning
- Sparse Regression
- Bayesian Inference
- Machine Learning
- Deep Learning
- Gaussian Processes
- Neural Networks
- Variational Inference
- Semi-Supervised Learning
- Hyperparameter Optimization
- Unsupervised
- Backpropagation Learning
- Particle Filters
- Robotics
- Self-Organizing Maps
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 21 words, with their numbers
- Deep Learning206 topics
- Machine Learning133 topics
- Gaussian Processes112 topics
- Bayesian Inference92 topics
- Neural Networks94 topics
- Sparse Regression71 topic
- Variational Inference71 topic
- Active Learning41 topic
- Semi-Supervised Learning41 topic
- Anomaly Detection31 topic
- Hyperparameter Optimization31 topic
- Noisy Labels31 topic
- Unsupervised31 topic
- Adversarial Examples21 topic
- Backpropagation Learning21 topic
- Nonlinear Estimation21 topic
- Particle Filters21 topic
- Reinforcement Learning21 topic
- Robotics21 topic
- Robustness21 topic
- Self-Organizing Maps21 topic
Where does Ashish Kapoor work?
Ashish Kapoor's main affiliation in the publication record is Microsoft (United States), United States.
How many publications and citations does Ashish Kapoor have?
Science Explorer counts 53 works and 529 citations for Ashish Kapoor, ranking #57,902 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.
Other researchers named Ashish Kapoor
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