Yamil Vindas

12 papers Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
An asymmetric heuristic for trained ternary quantization based on the statistics of the weights: An application to medical signal classification.
Pattern Recognit. Lett.
Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre
2025 — conf
Charting Channels in the Presence of RIS.
IEEECONF
Mohamed El Mehdi Makhlouf, Yamil Vindas, Anil Kumar, Maxime Guillaud, Marco Di Renzo
2025 — conf
Dynamic Channel Charting: Integrating Online Sample Selection with Continual Learning for Streaming CSI Data.
ICC
Yamil Vindas, Maxime Guillaud
2025 — conf
Multi-Cell Outdoor Channel State Information Dataset (MOCSID).
EuCNC/6G Summit
Mohamed El Mehdi Makhlouf, Maxime Guillaud, Yamil Vindas
2025 — conf
Weakly-Supervised Semantic Space Structuring: Cardiac Cycle Position for Cerebral Emboli Visualization Using Contrastive Learning.
ISBI
Mathilde Dupouy, Yamil Vindas, Marilys Almar, Blaise Kévin Guépié, Philippe Delachartre
2024 — conf
Multi-Site Wireless Channel Charting Through Latent Space Alignment.
SPAWC
Yamil Vindas, Maxime Guillaud
2024 J jnl
Trainable pruned ternary quantization for medical signal classification models.
Neurocomputing
Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre
2023 — conf
Deep Embedded Clustering Regularization for Supervised Imbalanced Cerebral Emboli Classification Using Transcranial Doppler Ultrasound.
EUSIPCO
Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre
2023 J jnl
Guided deep embedded clustering regularization for multifeature medical signal classification.
Pattern Recognit.
Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre
2023 — —
Weakly-supervised learning for emboli characterization with Transcranial Doppler (TCD) monitoring. (Apprentissage faiblement supervisé pour la caractérisation des emboles cérébraux à l'aide d'un dispositif de Doppler transcrânien (TCD)).
Yamil Vindas
2022 — conf
An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification.
MLHC
Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre
2022 J jnl
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization.
Medical Image Anal.
Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre