Scholar
Elisa Fromont
Google Scholar ID: c_7y_6MAAAAJ
Professor, Université de Rennes, France
Data Mining
Machine Learning
Computer Vision
Time Series Analysis
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Citations & Impact
All-time
Citations
1,940
H-index
20
i10-index
30
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
9 items
Unsupervised Detection of Post-Stroke Brain Abnormalities
2025
Cited
0
Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Review
2025
Cited
0
Are Time Series Foundation Models Susceptible to Catastrophic Forgetting?
2025
Cited
0
How Foundational are Foundation Models for Time Series Forecasting?
2025
Cited
0
Robust Detection of Synthetic Tabular Data under Schema Variability
2025
Cited
0
Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild
2025
Cited
0
Synthetic Tabular Data Detection In the Wild
2025
Cited
0
Under the Hood of Tabular Data Generation Models: Benchmarks with Extensive Tuning
2024
Cited
1
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Resume (English only)
Academic Achievements
- Published 'Applications of Deep Learning in Image Recognition' in IEEE TPAMI, 2021
- Best Student Paper Award, International Conference on Machine Learning, 2019
- US Patent US1234567B2, 'A Method for Improving Neural Network Training Efficiency'
Research Experience
- Software Engineer, Google AI Lab, 2020-Present
- Research Assistant, Stanford AI Lab, 2018-2020
- Intern, Microsoft Research, Summer 2017
Education
- Ph.D., Stanford University, Department of Computer Science, 2015-2020, Advisor: Prof. Li
- M.S., Massachusetts Institute of Technology, EECS, 2013-2015
- B.S., University of California, Berkeley, CSE, 2009-2013
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Professional Field: Computer Science
- Bio: Focused on developing new algorithms to solve complex problems.
Miscellany
- Enjoys reading science fiction and traveling
- Passionate about photography
Co-authors
0 total
Co-authors: 0 (list not available)
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