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We introduce here very briefly, through some selective choices of problems and through the sample computer simulation programs (following the request of the editor for this invited review in the Journal of Physics Through Computation), the…

Physics and Society · Physics 2020-01-30 Antika Sinha , Sudip Mukherjee , Bikas K Chakrabarti

While the HPC community is working towards the development of the first Exaflop computer (expected around 2020), after reaching the Petaflop milestone in 2008 still only few HPC applications are able to fully exploit the capabilities of…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-06-10 Erika Abraham , Costas Bekas , Ivona Brandic , Samir Genaim , Einar Broch Johnsen , Ivan Kondov , Sabri Pllana , Achim Streit

Extremal Graph Theory is a very deep and wide area of modern combinatorics. It is very fast developing, and in this long but relatively short survey we select some of those results which either we feel very important in this field or which…

Combinatorics · Mathematics 2019-12-05 Miklós Simonovits , Endre Szemerédi

We demonstrate the effectiveness of democratization and efficient computation as key concepts of our experimentation platform (XP) by presenting four new models supported by the platform: 1) Weighted least squares, 2) Quantile…

Determining the factors that have an influence on software systems development and deployment project outcomes has been the focus of extensive and ongoing research for more than 30 years. We provide here a survey of the research literature…

Software Engineering · Computer Science 2021-01-22 Laurie McLeod , Stephen G. MacDonell

Quantum Computing (QC) refers to an emerging paradigm that inherits and builds with the concepts and phenomena of Quantum Mechanic (QM) with the significant potential to unlock a remarkable opportunity to solve complex and computationally…

Recent advances in quantum computing have significantly accelerated research into quantum-assisted information retrieval and recommender systems, particularly in solving feature selection problems by formulating them as Quadratic…

Quantum Physics · Physics 2025-07-22 Jiayang Niu , Qihan Zou , Jie Li , Ke Deng , Mark Sanderson , Yongli Ren

Powered by advanced information technology, more and more complex systems are exhibiting characteristics of the Cyber-Physical-Social Systems (CPSS). Understanding the mechanism of CPSS is essential to our ability to control their actions,…

Multiagent Systems · Computer Science 2022-03-01 Xiao Xue , Xiang-Ning Yu , De-Yu Zhou , Xiao Wang , Zhang-Bin Zhou , Fei-Yue Wang

Environmental data science for spatial extremes has traditionally relied heavily on max-stable processes. Even though the popularity of these models has perhaps peaked with statisticians, they are still perceived and considered as the…

Methodology · Statistics 2024-02-01 Raphaël Huser , Thomas Opitz , Jennifer Wadsworth

Context. Quantum computing is becoming a reality, and quantum software engineering (QSE) is emerging as a new discipline to enable developers to design and develop quantum programs. Objective. This paper presents a systematic mapping study…

Software Engineering · Computer Science 2023-06-02 Manuel De Stefano , Fabiano Pecorelli , Dario Di Nucci , Fabio Palomba , Andrea De Lucia

This paper studies the problem of predicting the coding effort for a subsequent year of development by analysing metrics extracted from project repositories, with an emphasis on projects containing XML code. The study considers thirteen…

Software Engineering · Computer Science 2015-03-17 Siim Karus , Marlon Dumas

We study continually improving an extractive question answering (QA) system via human user feedback. We design and deploy an iterative approach, where information-seeking users ask questions, receive model-predicted answers, and provide…

Computation and Language · Computer Science 2023-11-07 Ge Gao , Hung-Ting Chen , Yoav Artzi , Eunsol Choi

This paper presents an extensive experimental study of the state-of-the-art of XML compression tools. The study reports the behavior of nine XML compressors using a large corpus of XML documents which covers the different natures and scales…

Databases · Computer Science 2008-12-18 Sherif Sakr

With the advances of AI research, AI has been increasingly adopted in numerous domains, ranging from low-stakes daily tasks such as movie recommendations to high-stakes tasks such as medicine, and criminal justice decision-making.…

Human-Computer Interaction · Computer Science 2024-10-29 Shuai Ma

A quantum computer (QC) can solve many computational problems more efficiently than a classic one. The field of QCs is growing: companies (such as DWave, IBM, Google, and Microsoft) are building QC offerings. We position that software…

Software Engineering · Computer Science 2019-07-09 Andriy Miranskyy , Lei Zhang

Efficient processing of large-scale graphs in distributed environments has been an increasingly popular topic of research in recent years. Inter-connected data that can be modeled as graphs arise in application domains such as machine…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-01-25 Vasiliki Kalavri , Vladimir Vlassov , Seif Haridi

High Performance Computing (HPC) has evolved over the past decades into increasingly complex and powerful systems. Current HPC systems consume several MWs of power, enough to power small towns, and are in fact soon approaching the limits of…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-04-11 Ivan Rodero , Manish Parashar

In the currently debated context of using clusters of galaxies as cosmological probes, the need for well-defined cluster samples is critical. The XXL Survey has been specifically designed to provide a well characterised sample of some 500…

Evaluating the user experience of a software system is an essential final step of every research. Several concepts such as flow, affective state, presences, or immersion exist to measure user experience. Typical measurement techniques…

Human-Computer Interaction · Computer Science 2021-04-14 Tobias Drey , Michael Rietzler , Enrico Rukzio

Despite the recent success of multi-task learning and transfer learning for natural language processing (NLP), few works have systematically studied the effect of scaling up the number of tasks during pre-training. Towards this goal, this…

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