Justin Basilico
Justin Basilico publishes mostly in Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Recommender Systems and Techniques, Advanced Bandit Algorithms Research and Image Retrieval and Classification Techniques.
- World rank
- #2,102,236 of 7,710,434 ranked researchers
- Rank in United States
- #634,510 of 1,627,098
- Works
- 23
- Citations
- 917
- Citations per work
- 39.9
What does Justin Basilico research?
Justin Basilico's work is mostly in Computer Science (70%), Decision Sciences (17%), Engineering (3%).
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 Sciences1773.5%
- Computer Science1670.4%
- Engineering13.1%
- Social Sciences417.2%
- Decision Sciences417.2%
- Everything else29.3%
- 1Information Systems30% of their works
- 2Artificial Intelligence20% of their works
- 3Computer Vision and Pattern Recognition19% of their works
- 4Management Science and Operations Research17% of their works
- 5Electrical and Electronic Engineering3% of their works
- 6Computational Theory and Mathematics2% of their works
Research topics
Which keywords describe Justin Basilico's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Collaborative Filtering, Matrix Factorization, Hyperparameter Optimization, Online Learning, Bandit Optimization and Bayesian Optimization.
- Interpretable Models
- Generative Adversarial Networks
- Concept Drift
- Noisy Labels
- Instance Selection
- Content-Based Image Retrieval
- Bayesian Optimization
- Online Learning
- Matrix Factorization
- Deep Learning
- Neural Networks
- Collaborative Filtering
- Hyperparameter Optimization
- Bandit Optimization
- Deep Neural Networks
- Shape Matching
- Machine Translation
- Word Representation
- Data Streams
- Image Synthesis
- Machine Learning Interpretability
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Neural Networks193 topics
- Deep Learning162 topics
- Collaborative Filtering141 topic
- Matrix Factorization141 topic
- Hyperparameter Optimization112 topics
- Online Learning102 topics
- Bandit Optimization81 topic
- Bayesian Optimization81 topic
- Deep Neural Networks52 topics
- Content-Based Image Retrieval41 topic
- Shape Matching41 topic
- Instance Selection31 topic
- Machine Translation31 topic
- Noisy Labels31 topic
- Word Representation31 topic
- Concept Drift21 topic
- Data Streams21 topic
- Generative Adversarial Networks21 topic
- Image Synthesis21 topic
- Interpretable Models21 topic
- Machine Learning Interpretability21 topic
Where does Justin Basilico work?
Justin Basilico's main affiliation in the publication record is Netflix (United States), United States.
How many publications and citations does Justin Basilico have?
OpenAlex counts 23 works and 917 citations for Justin Basilico, an h-index of 10, ranking #2,102,236 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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.
Discussion
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