Michèle Sébag
Michèle Sébag publishes mostly in Artificial Intelligence, Computer Networks and Communications and Information Systems, on topics such as Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications and Reinforcement Learning in Robotics.
- World rank
- #446,796 of 1,633,909 ranked researchers
- Rank in France
- #26,558 of 96,116
- Works
- 104
- Citations
- 338
- Citations per work
- 3.3
What does Michèle Sébag research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence46% of their works
- 2Computer Networks and Communications6% of their works
- 3Information Systems6% of their works
- 4Computational Theory and Mathematics5% of their works
- 5Management Science and Operations Research4% of their works
- 6Computer Vision and Pattern Recognition3% of their works
Research topics
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
- Advanced Bandit Algorithms Research
- Neural Networks and Applications
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Advanced Multi-Objective Optimization Algorithms
Which keywords describe Michèle Sébag's research?
The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Deep Learning, Machine Learning, Multiobjective Optimization, Ant Colony Optimization, Differential Evolution and Feature Selection.
- Surrogate Modeling
- Self-Organizing Maps
- Instance Selection
- Backpropagation Learning
- Contextual Bandits
- Robotics
- Hyperparameter Optimization
- Neural Networks
- Feature Selection
- Ant Colony Optimization
- Machine Learning
- Particle Swarm Optimization
- Evolutionary Algorithms
- Deep Learning
- Multiobjective Optimization
- Differential Evolution
- Genetic Programming
- Bayesian Optimization
- Reinforcement Learning
- Bandit Optimization
- Active Learning
- Genetic Algorithm
- Noisy Labels
- Semi-Supervised Learning
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 24 words, with their numbers
- Evolutionary Algorithms273 topics
- Particle Swarm Optimization162 topics
- Deep Learning153 topics
- Machine Learning152 topics
- Multiobjective Optimization152 topics
- Ant Colony Optimization121 topic
- Differential Evolution121 topic
- Feature Selection111 topic
- Genetic Programming111 topic
- Neural Networks112 topics
- Bayesian Optimization92 topics
- Hyperparameter Optimization92 topics
- Reinforcement Learning71 topic
- Robotics71 topic
- Bandit Optimization51 topic
- Contextual Bandits51 topic
- Active Learning41 topic
- Backpropagation Learning41 topic
- Genetic Algorithm41 topic
- Instance Selection41 topic
- Noisy Labels41 topic
- Self-Organizing Maps41 topic
- Semi-Supervised Learning41 topic
- Surrogate Modeling41 topic
Where does Michèle Sébag work?
Michèle Sébag's main affiliation in the publication record is Laboratoire de Recherche en Informatique, France.
How many publications and citations does Michèle Sébag have?
Science Explorer counts 104 works and 338 citations for Michèle Sébag, ranking #446,796 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.