In real world applications of multiclass classification models, misclassification in an important class (e.g., stop sign) can be significantly more harmful than other classes no parking). Thus, it is crucial to improve the recall while maintaining overall accuracy. For this problem, we found that improving separation relative feature space effective. Existing methods give a class-sensitive pena...

This paper generalizes the targeted minimum loss-based estimation (TMLE) framework to allow for estimating effects of time-varying interventions in settings where both interventions, covariates, and outcome can happen at subject-specific time-points on an arbitrarily fine time-scale. TMLE is a general template constructing asymptotically linear substitution estimators smooth low-dimensional par...

introduction: children learn to communicate by hearing sounds. if there is hearing loss, the cognitive and speaking abilities and language learning will deteriorate. early detection and intervention are important factors in the successful treatment of hearing loss in children. hearing loss (hl) is divided into two main groups: conductive hearing loss (chl) and sensorineural hearing loss (snhl),...

RATIONALE Neurofibromatosis type 1 (NF1) is a common autosomal dominant disorder with a broad array of clinical manifestations, including benign and malignant tumors, and characteristic cutaneous findings. NF1 patients also have an increased incidence of cardiovascular diseases, including obstructive vascular disorders and hypertension. The disease gene, NF1, encodes neurofibromin, a ubiquitous...

Super-resolution addresses the problem of image upscaling by reconstructing high-resolution output images from low-resolution input images. One successful approach for this problem is based on random forests. However, this approach has a large memory footprint, since complex models are required to achieve high accuracy. To overcome this drawback, we present a novel method for constructing rando...