Yamil Vindas

According to our database, Yamil Vindas authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

An asymmetric heuristic for trained ternary quantization based on the statistics of the weights: An application to medical signal classification.

Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre

Pattern Recognit. Lett., 2025

Weakly-Supervised Semantic Space Structuring: Cardiac Cycle Position for Cerebral Emboli Visualization Using Contrastive Learning.

Mathilde Dupouy, Yamil Vindas, Marilys Almar, Blaise Kévin Guépié, Philippe Delachartre

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Dynamic Channel Charting: Integrating Online Sample Selection with Continual Learning for Streaming CSI Data.

Yamil Vindas, Maxime Guillaud

Proceedings of the IEEE International Conference on Communications, 2025

Multi-Cell Outdoor Channel State Information Dataset (MOCSID).

Mohamed El Mehdi Makhlouf, Maxime Guillaud, Yamil Vindas

Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2025

2024

Trainable pruned ternary quantization for medical signal classification models.

Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre

Neurocomputing, 2024

Multi-Site Wireless Channel Charting Through Latent Space Alignment.

Yamil Vindas, Maxime Guillaud

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

2023

Guided deep embedded clustering regularization for multifeature medical signal classification.

Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre

Pattern Recognit., November, 2023

Deep Embedded Clustering Regularization for Supervised Imbalanced Cerebral Emboli Classification Using Transcranial Doppler Ultrasound.

Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization.

Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre

Medical Image Anal., 2022

An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification.

Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre

Proceedings of the Machine Learning for Healthcare Conference, 2022