Youssef Allouah
Youssef Allouah publishes mostly in Artificial Intelligence, Law and Computer Networks and Communications, on topics such as Privacy-Preserving Technologies in Data, Stochastic Gradient Optimization Techniques and Adversarial Robustness in Machine Learning.
- World rank
- #5,311,093 of 7,710,434 ranked researchers
- Rank in United States
- #1,354,070 of 1,627,098
- Works
- 16
- Citations
- 21
- Citations per work
- 1.3
What does Youssef Allouah research?
Youssef Allouah's work is mostly in Computer Science (78%), Engineering (7%), Mathematics (4%).
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 Sciences1488.7%
- Computer Science1277.7%
- Engineering16.6%
- Mathematics14.4%
- Everything else16.9%
- Social Sciences14.4%
- Social Sciences14.4%
- 1Artificial Intelligence73% of their works
- 2Law4% of their works
- 3Computer Networks and Communications4% of their works
- 4Statistics and Probability4% of their works
- 5Mechanical Engineering4% of their works
- 6Control and Systems Engineering2% of their works
Research topics
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Adversarial Robustness in Machine Learning
- Machine Learning and Algorithms
- Cryptography and Data Security
- Machine Learning and Data Classification
- Neural Networks and Applications
- Distributed Sensor Networks and Detection Algorithms
Which keywords describe Youssef Allouah's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Neural Networks, Differential Privacy, Federated Learning, Random Projections, Stochastic Gradient Descent and Active Learning.
- Self-Organizing Maps
- Backpropagation Learning
- Identity-Based Encryption
- Homomorphic Encryption
- Robustness
- Active Learning
- Random Projections
- Differential Privacy
- Deep Learning
- Machine Learning
- Neural Networks
- Federated Learning
- Stochastic Gradient Descent
- Adversarial Examples
- Semi-Supervised Learning
- Hyperparameter Optimization
- Noisy Labels
- Distributed Detection
- Wireless Sensor Networks
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 19 words, with their numbers
- Machine Learning163 topics
- Deep Learning154 topics
- Neural Networks113 topics
- Differential Privacy81 topic
- Federated Learning81 topic
- Random Projections51 topic
- Stochastic Gradient Descent51 topic
- Active Learning41 topic
- Adversarial Examples41 topic
- Robustness41 topic
- Semi-Supervised Learning41 topic
- Homomorphic Encryption31 topic
- Hyperparameter Optimization31 topic
- Identity-Based Encryption31 topic
- Noisy Labels31 topic
- Backpropagation Learning21 topic
- Distributed Detection21 topic
- Self-Organizing Maps21 topic
- Wireless Sensor Networks21 topic
Where does Youssef Allouah work?
Youssef Allouah's main affiliation in the publication record is Machine Science, United States.
How many publications and citations does Youssef Allouah have?
OpenAlex counts 16 works and 21 citations for Youssef Allouah, an h-index of 3, ranking #5,311,093 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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