The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the
domain of natural language processing, which is propelling us toward the development of …

The Tsetlin Machine (TM) is a novel machine learning algorithm with several distinct
properties, including transparent inference and learning using hardware-near building …

Data representation plays a crucial role in natural language processing (NLP), forming the
foundation for most NLP tasks. Indeed, NLP performance highly depends upon the …

Learning Automaton (LA) is an adaptive self-organized model that improves its action-
selection through interaction with an unknown environment. LA with finite action set can be …

Text classification is a well-studied and versatile building block for many NLP applications.
Yet, existing approaches require either large annotated corpora to train a model with or …

Learning Automaton (LA), a branch of reinforcement learning, initially began with the Fixed
Structure Learning Automaton (FSLA) family and was later expanded to include the Variable …

Credibility signals represent a wide range of heuristics typically used by journalists and fact-
checkers to assess the veracity of online content. Automating the extraction of credibility …

Since the adverse impact of fake news, especially multi-modal fake news, on public decision-
making and social governance, multi-modal fake news detection has lately attracted …

There are a plethora of methods for solving the classical multi-label document classification
problem. However, when it comes to deployment and usage in an industry setting, most if …

Machine learning is being widely used in various industries, and its impact varies based on
the application. However, high-risk domains like autonomous vehicles and medical imaging …