65 citations · 108 across the 7 of their papers we have counts for
7 papers
Enhancing Psychologists' Understanding through Explainable Deep Learning Framework for ADHD Diagnosis
Abdul Rehman, Ilona Heldal, Jerry Chun-Wei Lin
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that is challenging to diagnose and requires advanced approaches for reliable and transparent ident…
HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets
Jia-Hao Syu, Jerry Chun-Wei Lin, Marcin Fojcik +1
Medical internet of things leads to revolutionary improvements in medical services, also known as smart healthcare. With the big healthcare data, data mining and machine learning c…
A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder
Fawad Ahmed, Muneeb Ur Rehman, Jawad Ahmad +5
With the advancement in technology, digital images can easily be transmitted and stored over the Internet. Encryption is used to avoid illegal interception of digital images. Encry…
Secure Artificial Intelligence of Things for Implicit Group Recommendations
Keping Yu, Zhiwei Guo, Yu Shen +3
The emergence of Artificial Intelligence of Things (AIoT) has provided novel insights for many social computing applications such as group recommender systems. As distance among pe…
Utility Mining Across Multi-Sequences with Individualized Thresholds
Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang +1
Utility-oriented pattern mining has become an emerging topic since it can reveal high-utility patterns (e.g., itemsets, rules, sequences) from different types of data, which provid…
Discovering High Utility Episodes in Sequences
Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao +1
Sequence data, e.g., complex event sequence, is more commonly seen than other types of data (e.g., transaction data) in real-world applications. For the mining task from sequence d…
Utility-Driven Mining of Trend Information for Intelligent System
Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao +3
Useful knowledge, embedded in a database, is likely to change over time. Identifying recent changes in temporal databases can provide valuable up-to-date information to decision-ma…