Description
Book Synopsis.- Web Intelligence, Language Models, and AI-based Question Answerin.
.- RUVA - a Radical Universal Visual Annotation for Web-Based Language Learning.
.- CLOR - QA: Cross-Lingual Open-Retrieval Question Answering Model with Dynamic Database Integration.
.- Financial News Classification Using Language Learning Models and Reinforcement Learning.
.- ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction.
.- Feature Extraction for Claim Check-Worthiness Prediction Tasks Using LLM.
.- Training Data for Dialogue Generation Considering Philosophies.
.- Finding Adequate Additional Layer of Auxiliary Task in BERT-Based Multi-Task Learning.
.- Blockchain, Peer Reviews, and Digital Transparency.
.- Ponzi scheme detection and prevention in blockchain platforms using machine learning: A systematic literature review.
.- Cross-Chain Personal Data Exchange on EVM Platforms: Enhancing Transparency, and Equity.
.- Incentivise Peer Review without Rewarding: Using OSS-like Citation Pull Request.
.- Towards Website X-Ray for Europe's Municipalities: Unveiling Digital Transformation with Multimodal Embeddings.
.- Machine Learning in Healthcare, Climate Change, and Human Behavior.
.- Evolving Applications of Conversational Agents in Healthcare: A Literature Review.
.- Hybrid edge-cloud federated learning: the case of lightweight smoking detection.
.- Anonymization of Unstructured Health Data in Spanish.
.- When Good Enough is the Best Option: Use of Digital Sufficiency to Fight Climate Change.
.- Multi-Target Feature Selection Method for Predicting User-Level Psychological Status from Text.
.- FIEAP: A Machine Learning Approach for Fair and Interpretable Employee Attrition Prediction.
.- HOCON34k: A corpus of Hate speech in Online Comments from German Newspapers.
.- Sequence and Similarity Search Techniques.
.- SISIS: Sequence Indexing for SImilarity Search.
.- Top-k on Sequences: A New Approach to Enhanced Similarity Search.
.- Exploratory Data Analysis of Time Series using Pre-segmented Clustering.
.- A Data Science Approach for Predicting Soccer Passes Using Positional Data.
.- Knowledge Graphs, Databases, and Ontologies.
.- A Method for Integrating Heterogeneous Data into a Knowledge Graph.
.- Predicting Knowledge Graph Updates from Edit Histories.
.- Automatic Extraction of RML-star Mappings from Property Graphs.
.- Exploring the Role of UML in Data Modelling for NoSQL Databases: Position paper.
.- Railway systems' ontologies: A literature review and an alignment proposal.
.- Combining GraphSAGE and Label Propagation for Node Classification in Graphs.
