Transformers have dominated the field of natural language processing and have recently
made an impact in the area of computer vision. In the field of medical image analysis …

Transformer-based pretrained language models (PLMs) have started a new era in modern
natural language processing (NLP). These models combine the power of transformers …

On the basis of DefakeHop, an enhanced lightweight Deepfake detector called
DefakeHop++ is proposed in this work. The improvements lie in two areas. First, DefakeHop …

This work presents a generative modeling approach based on successive subspace
learning. Unlike most generative models in the literature, our method does not utilize neural …

Seizure events feature temporary abnormalities in muscle control or movements. They are
usually caused by excessive neuronal activities in the brain, and are called epileptic …

Recent advancements in artificial intelligence (AI) have precipitated significant
breakthroughs in healthcare, particularly in refining diagnostic procedures. However …

A new method, called PSL-DefakeHop, is proposed to detect fake satellite images based on
the parallel subspace learning (PSL) framework in this work. The DefakeHop method was …

Recent advances in vision and language (V+ L) models have a promising impact in the
healthcare field. However, such models struggle to explain how and why a particular …

Successive subspace learning, a novel green, unsupervised and interpretable machine
learning paradigm is widely used in image and point cloud data classification, medical …

In this thesis, we advance biomedical Question Answering (QA). The first part of the thesis
focuses on retrieving abstracts of scientific literature given a natural language question …