Sentiments about Mental Health on Twitter-Before and during the COVID-19 Pandemic.

During the COVID-19 pandemic, the novel coronavirus had an impact not only on public health but also on the mental health of the population. Public sentiment on mental health and depression is often captured only in small, survey-based studies, while work based on Twitter data often only looks at the period during the pandemic and does not make comparisons with the pre-pandemic situation. We collected tweets that included the hashtags #MentalHealth and #Depression from before and during the pandemic (8.

Do the Math: Making Mathematics in Wikipedia Computable.

Wikipedia combines the power of AI solutions and human reviewers to safeguard article quality. Quality control objectives include detecting malicious edits, fixing typos, and spotting inconsistent formatting. However, no automated quality control mechanisms currently exist for mathematical formulae.

Caching and Reproducibility: Making Data Science Experiments Faster and FAIRer.

Small to medium-scale data science experiments often rely on research software developed by individual scientists or small teams. Often there is no time to make the research software fast, reusable, and open access. The consequence is twofold.

Context-Patch Face Hallucination Based on Thresholding Locality-Constrained Representation and Reproducing Learning.

Face hallucination is a technique that reconstructs high-resolution (HR) faces from low-resolution (LR) faces, by using the prior knowledge learned from HR/LR face pairs. Most state-of-the-arts leverage position-patch prior knowledge of the human face to estimate the optimal representation coefficients for each image patch. However, they focus only the position information and usually ignore the context information of the image patch.

Category-Based Deep CCA for Fine-Grained Venue Discovery From Multimodal Data.

In this work, travel destinations and business locations are taken as venues. Discovering a venue by a photograph is very important for visual context-aware applications. Unfortunately, few efforts paid attention to complicated real images such as venue photographs generated by users.