Guyon, Isabelle
Yonghao
10 papers on CoChatORCID 0000-0002-9266-1783
Most cited papers
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A training algorithm for optimal margin classifiers
Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992) · Proceedings of the fifth annual workshop on Computational learning theory
Machine Learning and AlgorithmsNeural Networks and Applications
Cited by 11,992
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Gene selection for cancer classification using support vector machines
Guyon, I., Weston, J., Barnhill, S., & Vapnik, V. (2002) · Machine Learning
Gene expression and cancer classificationBreast Cancer Treatment Studies
Cited by 9,954
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SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK
BROMLEY, J., BENTZ, J. W., BOTTOU, L., GUYON, I., LECUN, Y., MOORE, C., SÄCKINGER, E., & SHAH, R. (1994) · Series in Machine Perception and Artificial Intelligence
Handwritten Text Recognition TechniquesUser Authentication and Security Systems
Cited by 2,350
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Signature Verification Using A "Siamese" Time Delay Neural Network
BROMLEY, J., BENTZ, J. W., BOTTOU, L., GUYON, I., LECUN, Y., MOORE, C., SÄCKINGER, E., & SHAH, R. (1993) · International Journal of Pattern Recognition and Artificial Intelligence
Handwritten Text Recognition TechniquesUser Authentication and Security Systems
Cited by 2,077
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Handwritten digit recognition: applications of neural network chips and automatic learning
Le Cun, Y., Jackel, L. D., Boser, B., Denker, J. S., Graf, H. P., Guyon, I., Henderson, D., Howard, R. E., & Hubbard, W. (1989) · IEEE Communications Magazine
Handwritten Text Recognition TechniquesNeural Networks and Applications
Cited by 480
- Verified · note
ChaLearn Looking at People Challenge 2014: Dataset and Results
Escalera, S., Baró, X., Gonzàlez, J., Bautista, M. A., Madadi, M., Reyes, M., Ponce-López, V., Escalante, H. J., Shotton, J., & Guyon, I. (2015) · Lecture Notes in Computer Science
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 211
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Learning Functional Causal Models with Generative Neural Networks
Goudet, O., Kalainathan, D., Caillou, P., Guyon, I., Lopez-Paz, D., & Sebag, M. (2018) · The Springer Series on Challenges in Machine Learning
Bayesian Modeling and Causal InferenceAdvanced Causal Inference Techniques
Cited by 123
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Learning to run a power network challenge for training topology controllers
Marot, A., Donnot, B., Romero, C., Donon, B., Lerousseau, M., Veyrin-Forrer, L., & Guyon, I. (2020) · Electric Power Systems Research
Optimal Power Flow DistributionElectric Power System Optimization
Cited by 70
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Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 69
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Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment
Goldberg, A., Ullah, I., Khuong, T. G. H., Rachmat, B. K., Xu, Z., Guyon, I., & Shah, N. B. (2024) · arXiv
Academic Writing and PublishingPublishing and Scholarly Communication
Cited by 4
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