Search Results for author:
Found 5 papers, 1 papers with code
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction
Explainable artificial intelligence has received limited attention in construction despite its growing importance in various other industrial sectors.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework
Explainable artificial intelligence is an emerging and evolving concept.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+1
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
Physiological computing uses human physiological data as system inputs in real time.
Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM)
Active learning (AL) selects the most beneficial unlabeled samples to label, and hence a better machine learning model can be trained from the same number of labeled samples.
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs
Multiple convolutional neural network (CNN) classifiers have been proposed for electroencephalogram (EEG) based brain-computer interfaces (BCIs).
