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Graph Neural Networks (GNNs) are emerging models to analyze graph-structure data. GNN execution involves both compute-intensive and memory-intensive kernels. The latter kernels dominate execution time, because they are significantly bottlenecked by data ...

Beginner programmers can develop an intuitive understanding of programming by leveraging the motivating field of multimedia to visually inspect outputs and experiment with different ways to solve problems. This paper presents MediaLib, a Python library ...

Social robots can enhance customer service of municipalities, but lacks a comprehensive ecosystem. Addressing this, the following paper explores an interdisciplinary approach to requirements engineering for deploying social robots in the real-world by ...

Authored robotics applications have a diverse set of requirements for their authoring interfaces, being dependent on the underlying architecture of the program, the capabilities of the programmers and engineers using them, and the capabilities of the ...

We introduce a novel approach for testing static typing implementations based on the concept of API-driven program synthesis. The idea is to synthesize type-intensive but small and well-typed programs by leveraging and combining application programming ...

The malicious download of library resources may lead to serious security risks and data leakage. To address this issue, this study proposes an intelligent algorithm based on Sliding Event Windows for detecting the malicious download behavior. This ...

The concept of artificial intelligence arose in the middle of the 20th century, but the rapid development of one specific area for the implementation of artificial intelligence, namely, neural networks, has only occurred over the past 10 years. ...

Fine-Grained Image Recognition (FGIR) is a fundamental and challenging task in computer vision and multimedia that plays a crucial role in Intellectual Economy and Industrial Internet applications. However, the absence of a unified open-source software ...

Many introductory programming courses employ graphics libraries that promote engagement and enable fun visuals. However, student excitement over graphical outputs is not a guarantee of conceptual understanding of programming, and graphics may even ...

This paper presents the experience in the implementation and application of a large-scale Indoor Location-Based Service (LBS) in an academic library. We deployed an indoor positioning system within the school library that leverages 550 Bluetooth beacons, ...

The continuous integration of cutting-edge technologies in various fields such as culture and education is leading institutions towards a radical digital evolution. This work studies how one of the key actors of these domains, i.e., libraries, ...

Yggdrasil Decision Forests is a library for the training, serving and interpretation of decision forest models, targeted both at research and production work, implemented in C++, and available in C++, command line interface, Python (under the name ...

This paper introduces the award-winning deep learning (DL) library called LibAUC for implementing state-of-the-art algorithms towards optimizing a family of risk functions named X-risks. X-risks refer to a family of compositional functions in which the ...

Extensive prior work has identified and described misconceptions held by novice programmers. Much of this prior work has involved at least some automatic detection of potential misconceptions using a variety of methods such as intercepting compiler error ...

One important element to provide reading enjoyment and to persuade children to read (more) is providing children with books that fit their interests. We structure filtering and recommendation of books in a playful way via animated 3D characters. ...

Libraries provide a powerful re-use capability allowing developers of one application to exploit the developments of others. Sadly, OCL has no first class library capability and attempts to use available capabilities have not led to any re-usable ...

Security has become a crucial factor in the development of software systems. The number of dependencies in software systems is becoming a source of countless bugs and vulnerabilities. In the past, the product line community has proposed several ...

Ten years have passed since makerspaces first appeared in libraries, and their contribution to developing digital literacy and 21st-century skills is widely recognized. However, mounting and running a makerspace still means embarking into new territory ...

The Nifty Assignments special session is about sharing the ideas and ready-to-use materials of successful assignments.

Each presenter will introduce their assignment, give a quick demo, and describe its niche in the curriculum and its strengths and ...

In this paper, we present Tianshou, a highly modularized Python library for deep reinforcement learning (DRL) that uses PyTorch as its backend. Tianshou intends to be research-friendly by providing a flexible and reliable infrastructure of DRL algorithms. ...