Explainable Artificial Intelligence
Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part II
Article
Parkinson’s disease (PD) is an incurable neurological disorder that degenerates the cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) signal analysis can provide reliable i...
Book and Conference Proceedings
Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part II
Chapter and Conference Paper
Explainable Artificial Intelligence has gained significant attention due to the widespread use of complex deep learning models in high-stake domains such as medicine, finance, and autonomous cars. However, dif...
Book and Conference Proceedings
Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part III
Chapter and Conference Paper
Financial institutions heavily rely on advanced Machine Learning algorithms to screen transactions. However, they face increasing pressure from regulators and the public to ensure AI accountability and transpa...
Book and Conference Proceedings
Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part I
Book and Conference Proceedings
Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part IV
Chapter and Conference Paper
Many explainable AI methods for generating medical image saliency maps exist, but most are devoted to working on trained neural network-based models. At the same time, many medical image classification neural ...
Chapter and Conference Paper
Chapter and Conference Paper
Global texture characteristics are powerful tools for solving medical image classification tasks. There are many such characteristics like Grey-Level Co-occurrence Matrices, Grey-Level Run-Length Matrices, Gre...
Chapter and Conference Paper
Electroencephalography (EEG) data has emerged as a promising modality for biometric applications, offering unique and secure personal identification and authentication methods. This research comprehensively co...
Book and Conference Proceedings
30th Irish Conference, AICS 2022, Munster, Ireland, December 8–9, 2022, Revised Selected Papers
Chapter and Conference Paper
Variational Autoencoders (VAEs) constitute one of the most significant deep generative models for the creation of synthetic samples. In the field of audio synthesis, VAEs have been widely used for the generati...
Book and Conference Proceedings
First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part III
Book and Conference Proceedings
First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part II
Book and Conference Proceedings
First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I
Chapter and Conference Paper
One goal of Explainable Artificial Intelligence (XAI) is to interpret and explain the inferential process of data-driven machine-learned models to make it comprehensible for humans. To reach it, it is necessar...
Chapter and Conference Paper
Feature selection plays an important role in machine learning or data mining problems. Removing irrelevant features increases model accuracy and reduces the computational cost. However, selecting important fea...
Chapter and Conference Paper
Virtual reality (VR) is getting traction in many contexts, allowing users to have a real-life experience in a virtual world. However, its application in the field of Neuroscience, and above all probing newer a...
Chapter and Conference Paper
With an increasing amount of structured data on the web, the need to understand and convert it into linked data is growing. One of the most frequent data formats is Comma Separated Value (CSV). However, it is ...