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Found 5 papers, 1 papers with code
Neural Topic Modeling of Psychotherapy Sessions
In this work, we compare different neural topic modeling methods in learning the topical propensities of different psychiatric conditions from the psychotherapy session transcripts parsed from speech recordings.
Migratable AI: Personalizing Dialog Conversations with migration context
The migration of conversational AI agents across different embodiments in order to maintain the continuity of the task has been recently explored to further improve user experience.
Migratable AI : Investigating users' affect on identity and information migration of a conversational AI agent
Conversational AI agents are becoming ubiquitous and provide assistance to us in our everyday activities.
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
Despite significant recent advances in deep neural networks, training them remains a challenge due to the highly non-convex nature of the objective function.
Autism Classification Using Brain Functional Connectivity Dynamics and Machine Learning
The goal of the present study is to identify autism using machine learning techniques and resting-state brain imaging data, leveraging the temporal variability of the functional connections (FC) as the only information.
