Search Results

To explore information on the Semantic Web, SPARQL queries or DL-queries are suitable tools. However, users interested in exploring the content of such knowledge bases often find it challenging to employ formal query languages, as this requires ...

Nowadays, smartphones have made our lives easier and have become essential gadgets for us. Apart from calling, mobiles are used for various purposes, such as banking, chatting, data storage, connecting to the internet, and running apps, that make life ...

Legal case retrieval is an important task in information retrieval that aims to retrieve relevant cases for given query cases. Conversational search paradigms have been shown to improve the search experience in legal case retrieval. However, there are two ...

Machine learning has become increasingly important in biomechanics. It allows to unveil hidden patterns from large and complex data, which leads to a more comprehensive understanding of biomechanical processes and deeper insights into human movement. ...

Recent years have seen a rise in Neural Program Repair (NPR) systems in the software engineering community, which adopt advanced deep learning techniques to automatically fix bugs. Having a comprehensive understanding of existing systems can facilitate ...

A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation. While the field of social navigation has advanced tremendously in recent years, the fair evaluation of algorithms ...

Derived from the mural drawings in the UNESCO-listed Mogao Caves, Dunhuang dance has unique cultural value but faces challenges of digitization and preservation. In this paper, we introduce the first open comprehensive motion capture dataset of Dunhuang ...

Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among others. Deep learning methods are particularly promising for modeling many ...

As initiatives on AI education in K-12 learning contexts continues to evolve, researchers have developed curricula among other resources to promote AI across grade levels. Yet, there is a need for more effort regarding curriculum, tools, and pedagogy, as ...

Meta-paths have been popularly used to provide explainability in recommendations. Although long/complicated meta-paths could represent complex user-item connectivity, they are not easy to interpret. This work tackles this problem by introducing a meta-...

Talking head, driving a source image to generate a talking video using other modality information, has made great progress in recent years. However, there are two main issues: (1) These methods are designed to utilize a single modality of information. (2)...

We present TwiXplorer, an interactive tool to explore and understand static Twitter (X) datasets. While obtaining new data from X has become more challenging for academics, there are still rich datasets available that have largely been untapped, for ...

This paper documents the process undertaken by StammerTalk, a grassroots community of Chinese-speaking people who stutter, to autonomously collect and curate stuttered speech data for more inclusive speech AI models. While people with disabilities are ...

Technological advancement has profoundly impacted how people share meals, fostering research interest in new forms of commensality such as tele-dining and eating with artificial companions. Consequently, there is a need to develop computational methods ...

Non-verbal behavior offers significant benefits for embodied agents in human interactions. Despite extensive research on the creation of non-verbal behaviors, the field lacks a standardized benchmarking practice. Researchers rarely compare their findings ...

The research measurement community needs methods and datasets to identify user concentrations and to accurately weight ASes against each other for analyzing measurements' coverage. However, academic researchers traditionally lack visibility into how many ...

The advancements in Location Based Services (LBS) and Location Based Social Networks (LBSN) have spurred multiple research efforts in query processing as well as recommendation systems that enable planning trips based on combining location and semantic ...

Usage data on Dockless Electric Scooters (DES) is crucial for developing policies and mobility applications to support shared transportation by understanding their supply and utilization. However, such data is not publicly available and prior DES studies ...

Understanding human actions from videos is essential in many domains, including sports. In figure skating, technical judgments are performed by watching skaters' 3D movements, and its part of the judging procedure can be regarded as a Temporal Action ...