Named entity aware transfer learning for biomedical factoid question answering

K Peng, C Yin, W Rong, C Lin, D Zhou… - … /ACM Transactions on …, 2021 - ieeexplore.ieee.org
Biomedical factoid question answering is an important task in biomedical question
answering applications. It has attracted much attention because of its reliability. In question …

An adaptive classification model for predicting epileptic seizures using cloud computing service architecture

HK Fatlawi, A Kiss - Applied Sciences, 2022 - mdpi.com
Data science techniques have increasing importance in medical data analysis, including
detecting and predicting the probability of contracting a disease. A large amount of medical …

Locally weighted ensemble-detection-based adaptive random forest classifier for sensor-based online activity recognition for multiple residents

D Chen, S Yongchareon, EMK Lai… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In recent years, various approaches for multiresident human activity recognition (HAR) in a
smart indoor environment have been developed and improved along with the rapid …

[PDF][PDF] Differential privacy based classification model for mining medical data stream using adaptive random forest

HK Fatlawi, A Kiss - Acta Univ. Sapientiae Inform, 2021 - intapi.sciendo.com
Most typical data mining techniques are developed based on training the batch data which
makes the task of mining the data stream represent a significant challenge. On the other …

[PDF][PDF] Efficiency Improvement of Adaptive Random Forest using Principal Component Analysis for Mining Data Stream

HK Fatlawi, A Kiss - Annales Universitatis Scientiarum …, 2023 - ac.inf.elte.hu
The rapid increase in the volume of generated data from various digital resources motivated
a new trend of data mining techniques that can be trained continuously in parallel with data …