Prediction and Recommendation
F2DeepRS: A Deep Recommendation Framework Applied to ICRC Platforms
A Novel Rule-based Online Judge Recommender System to Promote Computer Programming Education
Using Machine Learning to Predict Salaries of Major League Baseball Players
Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-based Denoising
An Efficient Transformer-based Model for Vietnamese Punctuation Prediction
Study of Hybridized Support Vector Regression Based Flood Susceptibility Mapping for Bangladesh
A Fusion Approach for Paper Submission Recommendation System
One-class Classification Approach using Feature-slide Prediction Subtask for Feature Data
Data Management, Clustering and Classification
A Novel Approach for Enhancing Vietnamese Sentiment Classification
Consistency Assessment of Datasets in the Context of a Problem Domain
Effects of Performance Clustering in User Modelling for Learning Style Knowledge Representation
A Novel Perspective of Text Classification by Prolog-based Deductive Databases
Improving Human Emotion Recognition from Emotive Videos using Geometric Data Augmentation
Applying Method of Automatic Classification Tools to Make Effective Organizing of Photos Taken in Childcare Facilities
Land Use/Land Cover Change Analysis Due to Tourism in the Chittagong Hill Tracts of Bangladesh
Robotics
Estimation Method for Operational Environment Complexity by a Robotic Team
A Cloud-based Robot Framework for Indoor Object Identification using Unsupervised Segmentation Technique and Convolution Neural Network (CNN)
Knowledge Based and Decision Support Systems
The Concept of Information Graphs as a Tool to Identify Vulnerabilities in the Information Map of an Organization
A Learning-Automata Based Solution for Non-Equal Partitioning: Partitions with Common GCD Sizes
Building a Knowledge Graph with Inference for a Production Machine Using the Web of Things Standard
Open-World Knowledge Graph Completion Benchmarks for Knowledge Discovery
A Case-based Reasoning Approach for a Decision Support System in Manufacturing
Online Automatic Assessment System for Program Code: Architecture and Experiences
A Multi-Criteria Group Decision Making Procedure Based on a Multi-Granular Linguistic Approach for Changeable Scenarios
Multimedia Applications
Edge Based Method for Kidney Segmentation in MRI Scans
Using the HAAR Wavelet Transform and K-nearest Neighbour Algorithm to Improve ECG Detection and Classification of Arrhythmia
Query by Humming for Song Identification using Voice Isolation
IMAGE-2-AQI: Aware of the Surrounding Air Qualification by a Few Images
Advances in Sports Video Summarization-A Review based on Cricket Videos
Augmented Audio Data in Improving Speech Emotion Classification Tasks
Innovative Applications of Intelligent Systems
Intelligent System of Mooring Planning based on Deep Q-learning
Experimental Study on Predictive Modeling in the Gamification Marketing Application
Pivot Point Based Intelligent System to Associate Creative Textual Artefacts
Mood Support: A Personalized Intelligent Support Assignment System using an Agent-based Dynamic Configuration Model
Continuous Build Outcome Prediction: A Small-N Experiment in Settings of a Real Software Project
Jaskier: A Supporting Software Tool for Continuous Build Outcome Prediction Practice
CPS and Industrial Applications
Automated Diagnosis of Cyber-Physical Systems
Quick Start And Adaptive New Server Monitor
Map-matching based on HMM for Urban Traffic
The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies
On-demand Knowledge Graphs for Standards-based Power Grid Data Provisioning
Defect, Anomaly and Intrusion Detection
Intrusion Detection Algorithm Based On SDA-ELM
Explaining Defect Detection with Saliency Maps
d-BTAI: the Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems
Identifying Anomaly Work in Intralogistics Using BLE and LPWA
Financial and Supply Chain Applications
Impact Analysis of Proactive and Reactive Inventory Disruption Management on Supply Chain Performance
A ML-based Stock Trading Model for Profit Predication
Machine Learning-Based Empirical Investigation For Credit Scoring In Vietnam's Banking
Bayesian Networks
Unsupervised Co-training of Bayesian Networks for Condition Prediction
BigData and Time Series Processing
Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-based Spark Platform
Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series
Information Retrieval and Relation Extraction
Improving Relation Extraction via Joint Coding using BiLSTM and DCNN
A Possible Worlds Interpretation of Many-Sorted Theory for IR.