While social media platforms have implemented many algorithmic approaches to moderating hate speech, there is a lack of datasets on queerphobia which has impeded efforts automatically recognize and moderate queerphobic speech online. Queerphobic that intended degrade, insult, or incite violence prejudicial action against queer people, who are those from sexuality, gender, romantic minority. Thi...

Abstract Semantic markup, such as , allows providers on the Web to describe content using a shared controlled vocabulary. This markup is invaluable in enabling broad range of applications, from vertical search engines, rich snippets results, actions emails, many others. In this paper, we focus semantic for datasets, specifically context developing engine datasets Web, Google’s Dataset Search. S...

Abstract Portraits of the Roman emperors have been a focal point in study ancient world. However, questions on how this medium developed over time and/or perceptions emperor changed more than four centuries imperial rule, are constrained by availability and accessibility material. This article introduces Imperial Dataset ( ripd ) to allow researchers portraiture through quantitative approach (H...

Attention Deficit Hyperactivity Disorder (ADHD) is the most prevalent neurodevelopmental disorder among children. It affects patients’ lives in many ways: inattention, difficulty with stimuli inhibition or motor function regulation. Different treatments exist today, but these can present side effects are not effective for all subgroups. Neurofeedback (NF) an innovative treatment consisting of b...

Large datasets that were made publicly available to the research community over last 20 years have been a key enabling factor for advances in deep learning algorithms NLP or computer vision. These are generally pairs of aligned image/manually annotated metadata, where images photographs everyday life. Scholarly and historical content, on other hand, treat subjects not necessarily popular genera...

Recent advances in deep learning technology have triggered radical progress the autonomy of ground vehicles. Marine coastal Autonomous Surface Vehicles (ASVs) that are regularly used for surveillance, monitoring, and other routine tasks can benefit from this autonomy. Long haul sea transportation activities additional opportunities. These two use cases present very different terrains—the first ...