Pragmatic language difficulties are common among autistic children, and assessment of pragmatic language skills over time is an important predictor of quality of life out [...]

Automatic speech recognition (ASR) is an essential component for building automatic cognitive assessment systems designed to monitor older adults' cognitive status. While [...]

We evaluate the performance of both of the proposed methods on several density estimation tasks from the UCI Repository as well as our corpus of Monkey vocalizations, rec [...]

This work introduces novel methods in the field of deformable image registration, both classical and learning-based. A central theme of the work is leveraging Reproducing [...]

Neural language models typically employ a categorical approach to prediction and training, leading to several well-known computational and numerical limitations. These li [...]

Sleep-disordered breathing (SDB) is recognized as a widespread, under-diagnosed condition associated with many detrimental health problems. The condition places a signifi [...]

In the VF test, participants are asked to retrieve as many words in a category (e.g., animals) as possible in a short duration of time, typically one minute. Conventional [...]

The language of children with Autism Spectrum Disorder (ASD) is sometimes described by clinicians as having a pedantic quality: overly formal, adult-like, and inappropria [...]

Transcription of language samples is labor intensive and data on intra- and inter-annotator reliability is lacking. Mean Length of Utterance in Morphemes (MLUM) can be ca [...]

Face-to-face testing procedures, or conventional administration, have been the mainstay of language assessment for children. However, automated administration has the pot [...]