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A Temporal Type-2 Fuzzy System for Time-dependent Explainable Artificial Intelligence
In this work, we present novel Temporal Type-2 FLS Based Approach for time-dependent XAI (TXAI) systems, which can account for the likelihood of a measurement's occurrence in the time domain using (the measurement's) frequency of occurrence.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction
The remarkable performance of the proposed model, EEG-TCFNet, and the general integration of fuzzy units to other classifiers would pave the way for enhanced P300-based BCIs for smart home interaction within natural settings.
Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives
The last decades have seen significant advancements in non-invasive neuroimaging technologies that have been increasingly adopted to examine human brain development.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels
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 molecular-test (2, 339 Covid-19 positives and 6, 041 Covid-19 negatives).
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning
A deep learning framework has been designed to incorporate EMG and ECG features.
