103 citations · 230 across the 5 of their papers we have counts for
5 papers
A Temporal Type-2 Fuzzy System for Time-dependent Explainable Artificial Intelligence
Mehrin Kiani, Javier Andreu-Perez, Hani Hagras
Explainable Artificial Intelligence (XAI) is a paradigm that delivers transparent models and decisions, which are easy to understand, analyze, and augment by a non-technical audien…
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction
Christian Flores Vega, Jonathan Quevedo, Elmer Escandón +3
The processing and classification of electroencephalographic signals (EEG) are increasingly performed using deep learning frameworks, such as convolutional neural networks (CNNs),…
Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives
Mehrin Kiani, Javier Andreu-Perez, Hani Hagras +2
The last decades have seen significant advancements in non-invasive neuroimaging technologies that have been increasingly adopted to examine human brain development. However, these…
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning
Delaram Jarchi, Javier Andreu-Perez, Mehrin Kiani +4
Accurately diagnosing sleep disorders is essential for clinical assessments and treatments. Polysomnography (PSG) has long been used for detection of various sleep disorders. In th…
A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels
Javier Andreu-Perez, Humberto Pérez-Espinosa, Eva Timonet +11
We seek to evaluate the detection performance of a rapid primary screening tool of Covid-19 solely based on the cough sound from 8,380 clinically validated samples with laboratory…