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This paper tries to reduce the effort of learning, deploying, and integrating several frameworks for the development of e-Science applications that combine simulations with High-Performance Data Analytics (HPDA). We propose a way to extend…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-10 Cristian Ramon-Cortes , Francesc Lordan , Jorge Ejarque , Rosa M. Badia

Transfer learning has recently become the dominant paradigm of machine learning. Pre-trained models fine-tuned for downstream tasks achieve better performance with fewer labelled examples. Nonetheless, it remains unclear how to develop…

Machine Learning · Computer Science 2024-01-30 Jonas Pfeiffer , Sebastian Ruder , Ivan Vulić , Edoardo Maria Ponti

Interactive data visualization is a major part of modern exploratory data analysis, with web-based technologies enabling a rich ecosystem of both specialized and general tools. However, current visualization tools often lack support for…

Human-Computer Interaction · Computer Science 2025-08-14 Jan Simson

Recent years have seen the successful application of deep learning to software engineering (SE). In particular, the development and use of pre-trained models of source code has enabled state-of-the-art results to be achieved on a wide…

Software Engineering · Computer Science 2022-05-25 Changan Niu , Chuanyi Li , Bin Luo , Vincent Ng

The applications for IEC 61499 that is standard architecture for developing the applications of distributed control and measurement in factory automation, have the connected structure of the graphical elements called BFB(basic function…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-24 Won-je Kim , Song-il Cha , Kyong-Jin Sok

The growing interconnection between software systems increases the need for security already at design time. Security-related properties like confidentiality are often analyzed based on data flow diagrams (DFDs). However, manually analyzing…

Software Engineering · Computer Science 2024-03-15 Nicolas Boltz , Sebastian Hahner , Christopher Gerking , Robert Heinrich

The density functional tight binding approach (DFTB) is well adapted for the study of point and line defects in graphene based systems. After briefly reviewing the use of DFTB in this area, we present a comparative study of defect…

Assembly systems constitute one of the most important fields in today industry. In this paper we propose an open distributed architecture for the engineering of evolvable flexible hybrid assembly systems. The proposed architecture is based…

Software Engineering · Computer Science 2014-11-06 Kleanthis Thramboulidis

Semi-structured query systems for document-oriented databases have many real applications. One particular application that we are interested in is matching each financial receipt image with its corresponding place of interest (POI, e.g.,…

Information Retrieval · Computer Science 2022-03-01 Geewook Kim , Wonseok Hwang , Minjoon Seo , Seunghyun Park

Analytic execution architectures have been proposed by the same authors as a means to conceptualize the cooperation between heterogeneous collectives of components such as programs, threads, states and services. Interface groups have been…

Software Engineering · Computer Science 2007-07-12 Jan A. Bergstra , Alban Ponse

Component-based software engineering aims to reduce software development effort by reusing established components as building blocks of complex systems. Defining components in general-purpose programming languages restricts their reuse to…

Software Engineering · Computer Science 2014-12-10 Jan Oliver Ringert , Bernhard Rumpe , Andreas Wortmann

As immersive technologies evolve, immersive computational notebooks offer new opportunities for interacting with code, data, and outputs. However, scaling these environments remains a challenge, particularly when analysts manually arrange…

Human-Computer Interaction · Computer Science 2025-09-17 Sungwon In , Eric Krokos , Kirsten Whitley , Chris North , Yalong Yang

We describe a methodology for designing efficient parallel and distributed scientific software. This methodology utilizes sequences of mechanizable algebra--based optimizing transformations. In this study, we apply our methodology to the…

Software Engineering · Computer Science 2008-11-18 Harry B. Hunt , Lenore R. Mullin , Daniel J. Rosenkrantz , James E. Raynolds

Textual network embeddings aim to learn a low-dimensional representation for every node in the network so that both the structural and textual information from the networks can be well preserved in the representations. Traditionally, the…

Social and Information Networks · Computer Science 2021-08-13 Zenan Xu , Qinliang Su , Xiaojun Quan , Weijia Zhang

Classification using multimodal data arises in many machine learning applications. It is crucial not only to model cross-modal relationship effectively but also to ensure robustness against loss of part of data or modalities. In this paper,…

Machine Learning · Computer Science 2019-04-22 Jun-Ho Choi , Jong-Seok Lee

To harness the potential of advanced computing technologies, efficient (real time) analysis of large amounts of data is as essential as are front-line simulations. In order to optimise this process, experts need to be supported by…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-03 Jovana Knežević , Ralf-Peter Mundani , Ernst Rank

Progress in science is deeply bound to the effective use of high-performance computing infrastructures and to the efficient extraction of knowledge from vast amounts of data. Such data comes from different sources that follow a cycle…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-15 Rosa M Badia , Jorge Ejarque , Francesc Lordan , Daniele Lezzi , Javier Conejero , Javier Álvarez Cid-Fuentes , Yolanda Becerra , Anna Queralt

The rapid evolution of technology has transformed business operations and customer interactions worldwide, with personalization emerging as a key opportunity for e-commerce companies to engage customers more effectively. The application of…

Machine Learning · Computer Science 2024-08-27 Miguel Alves Gomes , Philipp Meisen , Tobias Meisen

This paper presents a software architecture for 3D interaction techniques (ITs) and an object oriented, toolkit-independent framework that implements such architecture. ITs are composed of basic filters connected in a dataflow, where…

Human-Computer Interaction · Computer Science 2025-07-04 Pablo Figueroa , Mark Green , Benjamin Watson

We suggest there is a need for a fresh perspective on the design and development of workflow systems and argue for a building blocks approach. We outline a description of this approach and define the properties of software building blocks.…

Software Engineering · Computer Science 2019-04-10 Matteo Turilli , Andre Merzky , Vivek Balasubramanian , Manuel Maldonado , Shantenu Jha