Computational chemistry broadly investigates chemical problems using computer aided simulations/models. The exploration of material properties through computational means requires traversing length scales, from atomic to ...

Human-annotated labels and explanations are critical for training explainable NLP models. However, unlike human-annotated labels whose quality is easier to calibrate (e.g., with a majority vote), human-crafted free-form ...

Questionnaires are one of the most common instrument types for screening patients for mental disorders. They are composed of items whose answers are typically scored to determine the elevation on a specified dimension, and ...

Whyis is the first open source framework for creating custom provenance-driven knowledge graph applications, or KGApps, support- ing three principal tasks: knowledge curation, inference, and interaction. It has been used ...

In the 9 December 2022 issue, the Research Article “Competition-level code generation with AlphaCode” (Y. Li et al., p. 1092) and the accompanying Perspective, “AlphaCode and ‘datadriven’ programming” (J. Z. Kolter, p. ...

The emergence of streaming services, e.g., Spotify, has changed the way people listen to music and the way professional musicians achieve fame and success. Classical music has been the backbone of Western media for a long ...

The fundamental unit of the nervous system is the neuron. Neurons develop many anatomically and functionally distinct domains to fulfill their role in electrochemical signaling. These domains require different complements ...

This practice-based dissertation, “Made More Radiant: ‘psychic practice’ and other somatic technologies for re-enchantment and recovery,” is grounded in “experimental dance” and queer and feminist performance art. The heart ...

In post-disaster scenarios, where there are not enough critical relief supplies to satisfy the needs of individuals, the allocation of supplies available is a complex process. This dissertation proposes mathematical ...

Deep learning models have achieved remarkable success in many different fields over the past years thanks to advanced algorithmic techniques; great computational power provided by processors; and, most importantly, tremendous ...