BISA-L2.5
ATTENTION-BASED FUSION OF SPEECH FLUENCY FEATURES FOR STROKE LESION MAPPING
Giulia Sanguedolce, Niamh V. Parkinson, Fatemeh Geranmayeh, Patrick A. Naylor, Imperial College London, United Kingdom
Session:
BISA-L2: Deep Learning for Biomedical Signal Classification and Event Detection Lecture
Track:
BISA - Biomedical Image & Signal Analytics
Location:
Chamber Music Hall
Presentation Time:
Wed, 2 Sep, 17:20 - 17:40 Belgium Time (UTC +2)
Presentation
Discussion
Resources
No resources available.
Session BISA-L2
BISA-L2.1: TIME-SERIES FOUNDATION MODEL EMBEDDINGS FOR REMAINING USEFUL LIFE ESTIMATION
Amir El-Ghoussani, Friedrich-Alexander University of Erlangen-Nuremberg, Germany; Michele De Vita, FAU Erlangen-Nuremberg, Germany; Ronald Naumann, Nokia, Germany; Vasileios Belagiannis, Friedrich-Alexander University of Erlangen-Nuremberg, Germany
BISA-L2.2: Low-Density EEG for Seizure Detection: Evaluating CNN-RNN Architectures on a Behind-the-Ear Montage Setup
Annika Stiehl, Patrick Wingert, Nicolas Weeger, University of Applied Sciences Ansbach, Germany; Nicole Ille, BESA GmbH, Germany; Christian Uhl, Stefan Geißelsöder, University of Applied Sciences Ansbach, Germany
BISA-L2.3: Metadata-Conditioned Audio Transformers for Adaptive Respiratory Sound Classification
George Kontogiannis, Pantelis Tzamalis, Sotiris Nikoletseas, University of Patras, Greece
BISA-L2.4: ENSEMBLE ONE-CLASS GAUSSIAN PROCESSES FOR FETAL HEART RATE ANOMALY DETECTION
Taraneh G. Azarnir, Stony Brook University, United States; Cassandra Heiselman, Cleveland Clinic Foundation, United States; Petar M. Djuric, Stony Brook University, United States
BISA-L2.5: ATTENTION-BASED FUSION OF SPEECH FLUENCY FEATURES FOR STROKE LESION MAPPING
Giulia Sanguedolce, Niamh V. Parkinson, Fatemeh Geranmayeh, Patrick A. Naylor, Imperial College London, United Kingdom