An Integration of TextGCN and Autoencoder into Aspect-based Sentiment Analysis
OpBerg: Discovering causal sentences using optimal alignments
Text-based Causal Inference on Irony and Sarcasm Detection
Sarcastic RoBERTa: a RoBERTa-based deep neural network detecting sarcasm on Twitter
A Fast NDFA-Based Approach to Approximate Pattern-Matching for Plagiarism Detection in Blockchain-Driven NFTs
On Decisive Skyline Queries
Safeness: Suffix Arrays driven Materialized View Selection Framework for Large-Scale Workloads
A Process Warehouse for Process Variants Analysis
Feature Selection Algorithms
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data
Multi-label Online Streaming Feature Selection Algorithms via Extending Alpha Investing Strategy
Feature Selection Under Fairness and Performance Constraints
Time Series Processing
Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines
Pathology Data Prioritisation: A Study Using Multi-Variate Time Series
Outlier/Anomaly detection of univariate time series: A dataset collection and benchmark
Automatic Machine Learning-based OLAP Measure Detection for Tabular Data
Discovering Overlapping Communities based on Cohesive Subgraph Models over Graph Data
Discovery of Keys for Graphs
OPTIMA: Framework Selecting Optimal Virtual Model to Query Large Heterogeneous Data
Q-VIPER: Quantitative Vertical Bitwise Algorithm to Mine Frequent Patterns
Enhanced Sliding Window-Based Periodic Pattern Mining from Dynamic Streams
Explainable Recommendations for Wearable Sensor Data Machine Learning
SLA-Aware Cloud Query Processing with Reinforcement Learning-based MultiObjective Re-Optimization
Distance Based K-Means Clustering
Grapevine Phenology Prediction: A Comparison of Physical and Machine Learning Models.