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Found 6 papers, 2 papers with code
Measuring Geographic Performance Disparities of Offensive Language Classifiers
Likewise, we show that while offensive language models produce false positives on African American English, model performance is not correlated with each city's minority population proportions.
AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment
However, this process overburdens ABAs by requiring the clinicians to collect and analyze data, identify the problem behaviors, conduct pattern analysis to categorize and predict categorical outcomes, hypothesize responsiveness to treatments, and detect the effects of treatment plans.
Effect of backdoor attacks over the complexity of the latent space distribution
The input space complexity determines the model's capabilities to extract their knowledge and translate the space of attributes into a function which is assumed in general, as a concatenation of non-linear functions between layers.
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Nowadays, deep neural networks are widely used in mission critical systems such as healthcare, self-driving vehicles, and military which have direct impact on human lives.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model
A great number of computer vision publications have focused on distinguishing between human action recognition and classification rather than the intensity of actions performed.
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events
Electroencephalography (EEG) data are difficult to obtain due to complex experimental setups and reduced comfort with prolonged wearing.
