204 citations · 218 across the 17 of their papers we have counts for
7 papers · 1 filter
Missing data imputation for noisy time-series data and applications in healthcare
Lien P. Le, Xuan-Hien Nguyen Thi, Thu Nguyen +3
Healthcare time series data is vital for monitoring patient activity but often contains noise and missing values due to various reasons such as sensor errors or data interruptions.…
Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis
Pegah Salehi, Sajad Amouei Sheshkal, Vajira Thambawita +5
This paper examines the integration of real-time talking-head generation for interviewer training, focusing on overcoming challenges in Audio Feature Extraction (AFE), which often…
Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study
Zahra Sepasdar, Sushant Gautam, Cise Midoglu +2
Extracting meaningful insights from large and complex datasets poses significant challenges, particularly in ensuring the accuracy and relevance of retrieved information. Tradition…
Explainability of Machine Learning Models under Missing Data
Tuan L. Vo, Thu Nguyen, Luis M. Lopez-Ramos +3
Missing data is a prevalent issue that can significantly impair model performance and explainability. This paper briefly summarizes the development of the field of missing data wit…
Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data
Sajad Amouei Sheshkal, Morten Gundersen, Michael Alexander Riegler +3
Dry eye disease is a common disorder of the ocular surface, leading patients to seek eye care. Clinical signs and symptoms are currently used to diagnose dry eye disease. Metabolom…
SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset
Sushant Gautam, Mehdi Houshmand Sarkhoosh, Jan Held +7
The application of Automatic Speech Recognition (ASR) technology in soccer offers numerous opportunities for sports analytics. Specifically, extracting audio commentaries with ASR…
Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach
Matthias Boeker, Vajira Thambawita, Michael Riegler +2
Understanding sleep and activity patterns plays a crucial role in physical and mental health. This study introduces a novel approach for sleep detection using weakly supervised lea…