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Convolutional and Recurrent Neural Networks for Spoken Emotion Recognition
We test four models proposed in the speech emotion recognition (SER) literature on 15 public and academic licensed datasets in speaker-independent cross-validation.
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food
We developed a common algorithmic solution addressing the problem of resource-constrained outreach encountered by social change organizations with different missions and operations: Breaking Ground -- an organization that helps individuals experiencing homelessness in New York transition to permanent housing and Leket -- the national food bank of Israel that rescues food from farms and elsewhere to feed the hungry.
A Case-Based Persistent Memory for a Large Language Model
Case-based reasoning (CBR) as a methodology for problem-solving can use any appropriate computational technique.
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