Jerry Chun‐Wei Lin
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View article: Visualizing Clickstream Prediction Logic and Utility
Visualizing Clickstream Prediction Logic and Utility Open
Understanding user behavior patterns from clickstream data is critical for improving e-commerce decision-making. In this study, we propose a novel visualization framework called SankeyX that connects user interaction sequences, model predi…
View article: BakuFlow: A Streamlining Semi-Automatic Label Generation Tool
BakuFlow: A Streamlining Semi-Automatic Label Generation Tool Open
Accurately labeling (or annotation) data is still a bottleneck in computer vision, especially for large-scale tasks where manual labeling is time-consuming and error-prone. While tools like LabelImg can handle the labeling task, some of th…
View article: Transarterial Embolization for Refractory Non-Cervical-Origin Interscapular Pain Following Ultrasound-Guided Injection: A Retrospective Feasibility Study
Transarterial Embolization for Refractory Non-Cervical-Origin Interscapular Pain Following Ultrasound-Guided Injection: A Retrospective Feasibility Study Open
Objective: Chronic non-cervical-origin interscapular pain remains challenging to treat when refractory to conservative management and ultrasound-guided injections. This retrospective feasibility study aimed to assess the feasibility, proce…
View article: An Adaptive Scoring Framework for Attention Assessment in NDD Children via Serious Games
An Adaptive Scoring Framework for Attention Assessment in NDD Children via Serious Games Open
This paper introduces an innovative adaptive scoring framework for children with Neurodevelopmental Disorders (NDD) that is attributed to the integration of multiple metrics, such as spatial attention patterns, temporal engagement, and gam…
View article: Privacy Preservation and Identity Tracing Prevention in AI-Driven Eye Tracking for Interactive Learning Environments
Privacy Preservation and Identity Tracing Prevention in AI-Driven Eye Tracking for Interactive Learning Environments Open
Eye-tracking technology can aid in understanding neurodevelopmental disorders and tracing a person's identity. However, this technology poses a significant risk to privacy, as it captures sensitive information about individuals and increas…
View article: VisiTrail: A Cognitive Visualization Tool for Time-Series Analysis of Eye Tracking Data from Attention Game
VisiTrail: A Cognitive Visualization Tool for Time-Series Analysis of Eye Tracking Data from Attention Game Open
Eye Tracking (ET) can help to understand visual attention and cognitive processes in interactive environments. In attention tasks, distinguishing between relevant target objects and distractors is crucial for effective performance, yet the…
View article: Distal electrical stimulation enhances neuromuscular reinnervation and satellite cell differentiation for functional recovery
Distal electrical stimulation enhances neuromuscular reinnervation and satellite cell differentiation for functional recovery Open
View article: Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classification
Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classification Open
Customer churn, particularly in the telecommunications sector, influences both costs and profits. As the explainability of models becomes increasingly important, this study emphasises not only the explainability of customer churn through m…
View article: SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks
SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks Open
Self Supervised Representation Learning (SSRepL) can capture meaningful and robust representations of the Attention Deficit Hyperactivity Disorder (ADHD) data and have the potential to improve the model's performance on also downstream dif…
View article: Towards a Supporting Framework for Neuro-Developmental Disorder: Considering Artificial Intelligence, Serious Games and Eye Tracking
Towards a Supporting Framework for Neuro-Developmental Disorder: Considering Artificial Intelligence, Serious Games and Eye Tracking Open
This paper focuses on developing a framework for uncovering insights about NDD children's performance (e.g., raw gaze cluster analysis, duration analysis \& area of interest for sustained attention, stimuli expectancy, loss of focus/motiva…
View article: Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism
Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Open
Time-series prediction is increasingly popular in a variety of applications, such as smart factories and smart transportation. Researchers have used various techniques to predict power consumption, but existing models lack discussion of co…
View article: Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction
Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction Open
In this paper, we propose a heterogeneous federated learning (HFL) system for sparse time series prediction in healthcare, which is a decentralized federated learning algorithm with heterogeneous transfers. We design dense and sparse featu…
View article: Distributed Multi-Head Learning Systems for Power Consumption Prediction
Distributed Multi-Head Learning Systems for Power Consumption Prediction Open
As more and more automatic vehicles, power consumption prediction becomes a vital issue for task scheduling and energy management. Most research focuses on automatic vehicles in transportation, but few focus on automatic ground vehicles (A…
View article: Multi-Information Fusion Graph Convolutional Network for Cancer Driver Gene Identiffcation
Multi-Information Fusion Graph Convolutional Network for Cancer Driver Gene Identiffcation Open
View article: Retraction Note: An efficient quantum based D2D computation and communication approach for the internet of things
Retraction Note: An efficient quantum based D2D computation and communication approach for the internet of things Open
View article: Serum Osmolality as a Predictor of Renal Function Decline: A Retrospective Cohort Study
Serum Osmolality as a Predictor of Renal Function Decline: A Retrospective Cohort Study Open
Background and Aims: Dehydration is a prevalent and costly healthcare concern, linked to heightened risks of acute kidney injury and in-hospital mortality. Despite its significance, limited evidence exists regarding its prevalence and corr…
View article: Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classification
Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classification Open
Customer churn, particularly in the telecommunications sector, influences both costs and profits. As the explainability of models becomes increasingly important, this study emphasizes not only the explainability of customer churn through m…
View article: A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences
A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences Open
In rapidly evolving e-commerce industry, the capability of selecting high-quality data for model training is essential. This study introduces the High-Utility Sequential Pattern Mining using SHAP values (HUSPM-SHAP) model, a utility mining…
View article: Collaborative Construction Method of Biomedical Knowledge Graph Based on Multi-Blockchain
Collaborative Construction Method of Biomedical Knowledge Graph Based on Multi-Blockchain Open
The collaborative construction method of knowledge graph based on blockchain is crucial for the safe and efficient construction of biomedical knowledge graph (BioKG), and has received widespread attention from the academic and medical circ…
View article: Human-Free Automated Prompting for Vision-Language Anomaly Detection: Prompt Optimization with Meta-guiding Prompt Scheme
Human-Free Automated Prompting for Vision-Language Anomaly Detection: Prompt Optimization with Meta-guiding Prompt Scheme Open
Pre-trained vision-language models (VLMs) are highly adaptable to various downstream tasks through few-shot learning, making prompt-based anomaly detection a promising approach. Traditional methods depend on human-crafted prompts that requ…
View article: Retraction Note: An intelligent trading mechanism based on the group trading strategy portfolio to reduce massive loss by the grouping genetic algorithm
Retraction Note: An intelligent trading mechanism based on the group trading strategy portfolio to reduce massive loss by the grouping genetic algorithm Open
View article: An Novel Efficient Bi-Objective Evolutionary Algorithm for Frequent and High Utility Itemsets Mining
An Novel Efficient Bi-Objective Evolutionary Algorithm for Frequent and High Utility Itemsets Mining Open
Mining frequent and high utility itemsets (FHUIs) from transaction database is an important task in data mining. In order to overcome the difficulties of parameter setting and huge search space in traditional algorithms for mining FHUIs, t…
View article: Retraction Note: Robust adversarial uncertainty quantification for deep learning fine-tuning
Retraction Note: Robust adversarial uncertainty quantification for deep learning fine-tuning Open
View article: Video dataset containing video quality assessment scores obtained from standardized objective and subjective testing
Video dataset containing video quality assessment scores obtained from standardized objective and subjective testing Open
This paper presents a dataset comprising 700 video sequences encoded in the two most popular video formats (codecs) of today, H.264 and H.265 (HEVC). Six reference sequences were encoded under different quality profiles, including several …
View article: An effective multi-time series model of RC column backbone curve identification
An effective multi-time series model of RC column backbone curve identification Open
Accurate identification of the backbone curves of reinforced concrete (RC) columns is key to engineering design and strengthening renovation. In view of the problems of high cost, long time, low accuracy, large dispersion of calculation re…
View article: Author Index
Author Index Open
View article: Intercell Interference Coordination for UAV Enabled URLLC With Perfect/Imperfect CSI Using Cognitive Radio
Intercell Interference Coordination for UAV Enabled URLLC With Perfect/Imperfect CSI Using Cognitive Radio Open
View article: TKU-PSO: An Efficient Particle Swarm Optimization Model for Top-K High-Utility Itemset Mining.
TKU-PSO: An Efficient Particle Swarm Optimization Model for Top-K High-Utility Itemset Mining. Open
Top-k high-utility itemset mining (top- HUIM) is a data mining procedure used to identify the most valuable patterns within transactional data. Although many algorithms are proposed for this purpose, they require substantial execution time…
View article: Distributed Learning Mechanisms for Anomaly Detection in Privacy-Aware Energy Grid Management Systems
Distributed Learning Mechanisms for Anomaly Detection in Privacy-Aware Energy Grid Management Systems Open
Smart grids have become an emerging topic due to net-zero emissions and the rapid development of artificial intelligence (AI) technology focused on achieving targeted energy distribution and maintaining operating reserves. In order to prev…
View article: Incremental Top-k High Utility Pattern Mining and Analyzing Over the Entire Accumulated Dynamic Database
Incremental Top-k High Utility Pattern Mining and Analyzing Over the Entire Accumulated Dynamic Database Open
Top-k high utility pattern mining, which extracts the highest top-k patterns that the users want to find, has been actively studied. Most previous studies in this domain have focused on static databases, where data insertions do not occur.…