Predicting temporary deal success with social media timing signals
LexTex: a framework to generate lexicons using WordNet word senses in domain specific categories
Local feature selection for multiple instance learning
LOD search engine: A semantic search over linked data
Rating behavior evaluation and abnormality forensics analysis for injection attack detection
A relational tsetlin machine with applications to natural language understanding
Incremental and accurate computation of machine learning models with smart data summarization
Fake news detection based on statement conflict
Summarizing consumer reviews
MAA-PTG: multimodal aspect-aware product title generation
A comprehensive Benchmark for fake news detection
Enhanced density peak-based community detection algorithm
Handling inconsistencies in tables with nulls and functional dependencies
Multimodal time-aware attention networks for depression detection
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review
Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound
Expanding Normalized Systems from textual domain descriptions using TEMOS
A case study comparing machine learning with statistical methods for time series forecasting: size matters
A distantly supervised approach for enriching product graphs with user opinions
Obtaining synthetic indications and sorting relevant structures from complex hierarchical clusters of multivariate data
Forecasting and explaining emergency department visits in a public hospital
SentiCode: A new paradigm for one-time training and global prediction in multilingual sentiment analysis
Enhancing aspect and opinion terms semantic relation for aspect sentiment triplet extraction