Knowledge Discovery and Pattern Mining
Fast Mining of Top-k Frequent Balanced Association Rules
Towards Increasing Open Data Adoption through Stream Data Integration and Imputation
Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases
Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning
Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases
A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets
Mining Episode Rules From Event Sequences Under Non-Overlapping Frequency
Distributed mining of high utility time interval sequential patterns with multiple minimum utility thresholds
Artificial Intelligence and Machine Learning
Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing
Comparison of Consolidation Methods for Predictive Learning of Time Series
Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification
Understanding the Effects of Mitigation on De-identified Data
Combining Siamese Network and Correlation Filter for Complementary Object Tracking
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines
Explainable Reinforcement Learning with the Tsetlin Machine
Sematic, Topology, and Ontology Models
Semantic Technologies towards Missing Values Imputation
An Improved Integer Programming Formulation for Inferring Chemical Compounds with Prescribed Topological Structures
Automatic Classification for Ontology Generation by Pretrained Language Model
Deep Learning Architecture for Topological Optimized Mechanical Design Generation with Complex Shape Criterion
Computational Ontology and BIM Technology in Data-Driven Indoor Route Planning
Collaborative Maintenance of EDOAL Alignments in VocBench
DIKG2: a Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms
Ontology-based Resume Searching System for Job Applicants in Information Technology
An Approach to Expressing Metamodels' Semantics in a Concept System
Medical and Health-Related Applications
Birth-death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications
Intelligent Asthma Self-Management System for Personalised Weather-based Healthcare using Machine Learning
Deep Forecasting of COVID-19: Canadian Case Study
COVID-19 Genome Analysis using Alignment-Free Methods
Deep Efficient Neural Networks for Explainable COVID-19 detection on CXR Images
Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach
Graphic and Social Network Analysis
Configuration model of employee competences in a social media team
The Extended Graph Generalization as a Representation of the Metamodels' Extensional Layer
WawPart: Workload-Aware Partitioning of Knowledge Graphs
Analysis of Sentimental Behaviour over Social Data Using Machine Learning Algorithms
Signal and Bioinformatic Processing
A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
Determining 2-Optimality Consensus for DNA structure
Evolutionary Computation
Utilizing Center-Based Sampling Theory to Enhance Particle Swarm Classification of Textual Data
Conditional Preference Networks: Refining Solution Orderings beyond Pareto Dominance
Enhancing Multi-Objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches
Insightful and Practical Multi-Objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms
Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm
Attack and Security
Recent Research on Phishing Detection through Machine Learning Algorithm
A Transaction Classification Model of Federated Learning
On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks
A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications
Natural Language and Text Processing
Hierarchical Transformer Encoders for Vietnamese Spelling Correction
Fast and Memory-efficient TFIDF Calculation for Text Analysis of Large Datasets
Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering
Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese
Fuzzy Inference and Theory
The behaviour of the product t-norm in combination with several implications in Fuzzy PID controller
Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach
Sensor and Communication Networks
Smartphone Sensor-Based Fall Detection using Machine Learning Algorithms
IPR-SN: Intelligent Packet Routing in Satellite Networks Based on Distributed Deep Reinforcement Learning.