Fuzzing is a popular dynamic program analysis technique used to find vulnerabilities in
complex software. Fuzzing involves presenting a target program with crafted malicious input …

Decoding sensory stimuli from neural signals can be used to reveal how we sense our
physical environment, and is valuable for the design of brain-machine interfaces. However, …

Aim: The aim of this study is to study the cytomorphologic features of benign breast lesions
and correlate with clinical and histological findings. To find diagnostic accuracy of fine needle …

Many approaches for optimizing decision making systems rely on gradient based methods
requiring informative feedback from the environment. However, in the case where such …

Pruning is an approach to alleviate overparameterization of deep neural networks (DNN) by
zeroing out or pruning DNN elements with little to no efficacy at a given task. In contrast to …

Deep neural networks (DNNs) are costly to train. Pruning, an approach to alleviate model
complexity by zeroing out or pruning DNN elements, has shown promise in reducing training …

DISCUSSION HLRCC‑associated RCC is a rare autosomal dominant disorder characterized
by the variable presentation of multiple cutaneous leiomyomas, uterine leiomyomas, and …

Reactive histiocytic proliferations are extremely rare in paratesticular structures. Nodular
histiocytic proliferations have been described in mesothelial-lined locations and only at few …

Chronic myeloproliferative neoplasm (MPN) is a diverse group of bone marrow disorders.
These include BCR-ABL fusion gene–related disorders or disorders negative for BCR-ABL …

This paper presents a novel unifying framework of bilinear LSTMs that can represent and
utilize the nonlinear interaction of the input features present in sequence datasets for achieving …