544 citations · 727 across the 12 of their papers we have counts for
4 papers · 1 filter
Modeling cognitive load as a self-supervised brain rate with electroencephalography and deep learning
Luca Longo
The principal reason for measuring mental workload is to quantify the cognitive cost of performing tasks to predict human performance. Unfortunately, a method for assessing mental…
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts
Lucas Rizzo, Luca Longo
Dealing with uncertain, contradicting, and ambiguous information is still a central issue in Artificial Intelligence (AI). As a result, many formalisms have been proposed or adapte…
An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload
Bujar Raufi, Luca Longo
Many research works indicate that EEG bands, specifically the alpha and theta bands, have been potentially helpful cognitive load indicators. However, minimal research exists to va…
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review
Kyle Hamilton, Aparna Nayak, Bojan Božić +1
Advocates for Neuro-Symbolic Artificial Intelligence (NeSy) assert that combining deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its own. As…