Since the relaunch of Microsoft Academic Services (MAS) 4 years ago, scholarly
communications have undergone dramatic changes: more ideas are being exchanged …

Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …

In a perfect world, scientists would develop analyses that are guaranteed to reveal the
ground truth of a research question. In reality, there are countless viable workflows that …

An ongoing project explores the extent to which artificial intelligence (AI), specifically in the
areas of natural language processing and semantic reasoning, can be exploited to facilitate …

Psychology endeavors to develop theories of human capacities and behaviors on the basis
of a variety of methodologies and dependent measures. We argue that one of the most …

Brian 2 allows scientists to simply and efficiently simulate spiking neural network models.
These models can feature novel dynamical equations, their interactions with the …

A cornerstone of science is the possibility to critically assess the correctness of scientific
claims made and conclusions drawn by other scientists. This requires a systematic approach …

Reproducible research---by its many names---has come to be regarded as a key concern
across disciplines and stakeholder groups. Funding agencies and journals, professional …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

Replicability and reproducibility of computational models has been somewhat understudied
by “the replication movement.” In this paper, we draw on methodological studies into the …