Knowledge Integration and Analysis
A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys
A Semi-Formal Approach to Describing Semantics of Data Modeling Patterns
Obfuscating LLVM IR with the Application of Lambda Calculus
Structural and Compact Latent Representation Learning on Sparse Reward Environments
A Survey of Explainable Artificial Intelligence Approaches for Sentiment Analysis
Social collective model of non-internet social networks
A Data-driven Scheduling Strategy for Mobile Air Quality Monitoring Devices
Hybrid approaches to sentiment analysis of social media data
Integrating Ontology-based Knowledge to Improve Biomedical Multi-Document Summarization Model
An Improvement of Diachronic Embedding for Temporal Knowledge Graph Completion
DCA-based weighted bagging: A new ensemble learning approach
Deep-learning- and GCN-based Aspect-level Sentiment Analysis Methods on Balanced and Unbalanced Datasets
Applying the Malmquist productivity index model to assess the performance of the coffee enterprise in DakLak Vietnam
A Cluster-Constrained Graph Convolutional Network for Protein- Protein Association networks
Fuzzy logic framework for ontology concepts alignment
Can Ensemble Calibrated Learning enhance Link Prediction? A Study on Commonsense Knowledge
Multi-criteria Approaches to Explaining Black Box Machine Learning Models
Improving Loss Function for Polyp Detection Problem
Flow Plugin Network for Conditional Generation
Speech and Text Processing
Investigating the Impact of Parkinson's Disease on Brain Computations An Online Study of Healthy Controls and PD Patients
Speech Enhancement using Dynamical Variational AutoEncoder
Vietnamese Multidocument Summarization using Subgraph Selection-based Approach with Graph-informed Self-attention mechanism
NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering
An Empirical Study on Punctuation Restoration for English, Mandarin, and Code-switching Speech
Novel Topic Models for Parallel Topics Extraction from Multilingual Text
Adapting Code-Switching Language Models with Statistical-Based Text Augmentation
Improving Hotel Customer Sentiment Prediction by Fusing Review Titles and Contents
Resource management and optimization
In support of push-based streaming for the computing continuum
Effective method of implementing constrained optimization problems using data instances
Scheduling Deep Learning Training in GPU Cluster Using the Model-similarity-based Policy.