Published 2021
Table of Contents:
“...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....
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