Christian Gagné
Christian Gagné publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Domain Adaptation and Few-Shot Learning, Evolutionary Algorithms and Applications and Adversarial Robustness in Machine Learning.
- World rank
- #62,656 of 1,633,909 ranked researchers
- Rank in Canada
- #1,944 of 38,960
- Works
- 53
- Citations
- 548
- Citations per work
- 10.3
What does Christian Gagné research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence42% of their works
- 2Computer Vision and Pattern Recognition14% of their works
- 3Electrical and Electronic Engineering7% of their works
- 4Signal Processing3% of their works
- 5Computational Mechanics3% of their works
- 6Computational Theory and Mathematics3% of their works
Research topics
- Domain Adaptation and Few-Shot Learning
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
- Data Stream Mining Techniques
- Multimodal Machine Learning Applications
- Anomaly Detection Techniques and Applications
- Metaheuristic Optimization Algorithms Research
- Bayesian Methods and Mixture Models
Which keywords describe Christian Gagné's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Evolutionary Algorithms, Domain Adaptation, Transfer Learning, Adversarial Examples and Classification.
- Unsupervised
- Mixture Models
- Clustering
- Visual Question Answering
- Image Captioning
- Data Streams
- Classification
- Transfer Learning
- Evolutionary Algorithms
- Neural Networks
- Deep Learning
- Machine Learning
- Domain Adaptation
- Adversarial Examples
- Concept Drift
- Genetic Programming
- Robustness
- Anomaly Detection
- Differential Evolution
- Particle Swarm Optimization
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
- Deep Learning83 topics
- Neural Networks83 topics
- Machine Learning62 topics
- Evolutionary Algorithms52 topics
- Domain Adaptation41 topic
- Transfer Learning41 topic
- Adversarial Examples31 topic
- Classification31 topic
- Concept Drift31 topic
- Data Streams31 topic
- Genetic Programming31 topic
- Image Captioning31 topic
- Robustness31 topic
- Visual Question Answering31 topic
- Anomaly Detection21 topic
- Clustering21 topic
- Differential Evolution21 topic
- Mixture Models21 topic
- Particle Swarm Optimization21 topic
- Unsupervised21 topic
Where does Christian Gagné work?
Christian Gagné's main affiliation in the publication record is Université Laval, Canada.
How many publications and citations does Christian Gagné have?
Science Explorer counts 53 works and 548 citations for Christian Gagné, ranking #62,656 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.