Search Results (4)
Feature construction techniques in time-series analysis and single-objective optimization
Feature construction, encompassing both feature engineering, which involves the manual design of features by domain experts, and representation learning, which refers to the automated discovery of useful data representations during model construction, is a fundamental aspect of machine learning. Its goal is to transform raw data into a more suitable …
Neural approaches to automatic terminology extraction
Automatic terminology extraction, also known as automatic term extraction (ATE), is a natural language processing (NLP) task that identifies specialized terminology from domain-specific corpora. ATE is often used for terminographic tasks (e.g., the creation of specialized dictionaries) and contributes to several complex downstream tasks (e.g., machine translation and information retrieval). …
Bias prediction in multilingual news reporting
Over the past decade, rapid advancements in natural language processing have opened up new avenues for tackling complex issues such as news bias analysis. This progress has empowered researchers to explore innovative approaches to uncovering the complex biases inherent in news production and coverage processes. News bias, a multifaceted reflection …
Knowledge discovery in a service-oriented data mining environment
The thesis addresses the development of novel knowledge discovery scenarios in a modern data mining platform by utilising principles of service-oriented architecture with web services, interactive scientific workflows, knowledge discovery ontologies and automated construction of data mining workflows. We present the developed Orange4WS platform which upgrades Orange, a mature open-source …