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While utilization of digital agents to support crucial decision making is increasing, trust in suggestions made by these agents is hard to achieve. However, it is essential to profit from their application, resulting in a need for…

Machine Learning · Computer Science 2022-04-21 Michael Heider , Helena Stegherr , Jonathan Wurth , Roman Sraj , Jörg Hähner

E-learning has been an important policy for education planners for many years in developed countries. This policy has been adopted by education in some developing countries; it is therefore expedient to study its emergence in the Nigerian…

Computers and Society · Computer Science 2011-05-24 O. Awodele , S. O. Kuyoro , A. K. Adejumobi , O. Awe , O. Makanju

Many scientific problems require multiple distinct computational tasks to be executed in order to achieve a desired solution. We introduce the Ensemble Toolkit (EnTK) to address the challenges of scale, diversity and reliability they pose.…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-17 Vivek Balasubramanian , Matteo Turilli , Weiming Hu , Matthieu Lefebvre , Wenjie Lei , Guido Cervone , Jeroen Tromp , Shantenu Jha

[Spreadsheet] Models are invaluable tools for strategic planning. Models help key decision makers develop a shared conceptual understanding of complex decisions, identify sensitivity factors and test management scenarios. Different…

Human-Computer Interaction · Computer Science 2024-12-31 Paula Jennings

The profile of research software engineering has been greatly enhanced by developments at institutions around the world to form groups and communities that can support effective, sustainable development of research software. We observe,…

Software Engineering · Computer Science 2019-08-07 Jeremy Cohen , Daniel S. Katz , Michelle Barker , Robert Haines , Neil Chue Hong

Federated learning is a distributed learning paradigm in which multiple mobile clients train a global model while keeping data local. These mobile clients can have various available memory and network bandwidth. However, to achieve the best…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-16 Dixi Yao

Traditional error detection approaches require user-defined parameters and rules. Thus, the user has to know both the error detection system and the data. However, we can also formulate error detection as a semi-supervised classification…

Machine Learning · Computer Science 2019-08-20 Felix Neutatz , Mohammad Mahdavi , Ziawasch Abedjan

This paper proposes a novel training method to improve the robustness of Extractive Question Answering (EQA) models. Previous research has shown that existing models, when trained on EQA datasets that include unanswerable questions,…

Computation and Language · Computer Science 2024-10-01 Son Quoc Tran , Matt Kretchmar

The e-book market is currently in a strong upswing. This research study deals with the question which practical uses the e-book format EPUB3 offers for (higher) education. By means of a didactic content analysis, a range of interactive…

Computers and Society · Computer Science 2016-06-21 Martin Ebner , Christian Gailer , Mohammad Khalil , Michael Kopp , Elke Lackner , Michael Raunig

A common and effective means for improving language model capabilities involves finetuning a ``student'' language model's parameters on generations from a more proficient ``teacher'' model. Termed ``synthetic data'', these generations are…

[Context and motivation] Quality requirements (QRs) are inherently diffi-cult to manage as they are often subjective, context-dependent and hard to fully grasp by various stakeholders. Furthermore, there are many sources that can provide…

Software Engineering · Computer Science 2018-03-09 Thomas Olsson , Krzysztof Wnuk

Trustworthiness especially for service oriented system is very important topic now a day in IT field of the whole world. There are many successful E-commerce organizations presently run in the whole world, but E-commerce has not reached its…

Artificial Intelligence · Computer Science 2016-11-17 Kawser Wazed Nafi , Tonny Shekha Kar , Amjad Hossain , M. M. A Hashem

Systems design processes are increasingly reliant on simulation models to inform design decisions. A pervasive issue within the systems engineering community is trusting in the models used to make decisions about complex systems. This work…

Computational Engineering, Finance, and Science · Computer Science 2025-08-05 Edward Louis , Gregory Mocko , Evan Taylor

Machine learning models have spread to almost every area of life. They are successfully applied in biology, medicine, finance, physics, and other fields. With modern software it is easy to train even a~complex model that fits the training…

Computation · Statistics 2020-05-27 Alicja Gosiewska , Przemyslaw Biecek

In most E learning systems educational activities are presented in a static way without bearing in mind the particulars or student levels and skills. Personalization and adaptation of an E learning management system are dependent on the…

Software Engineering · Computer Science 2021-07-13 TahirMohammadAli , Attique Ur Rehman , AliNawaz , Wasi Haider Butt

The adoption of Artificial Intelligence in Education (AIED) holds the promise of revolutionizing educational practices by offering personalized learning experiences, automating administrative and pedagogical tasks, and reducing the cost of…

Computers and Society · Computer Science 2024-03-26 Richard Tong , Haoyang Li , Joleen Liang , Qingsong Wen

The aim of the FESCA workshop is to bring together both young and senior researchers from formal methods, software engineering, and industry interested in the development and application of formal modelling approaches as well as associated…

Software Engineering · Computer Science 2014-04-03 Bara Buhnova , Lucia Happe , Jan Kofroň

In this paper we present architecture of a fuzzy expert system used for therapy of dyslalic children. With fuzzy approach we can create a better model for speech therapist decisions. A software interface was developed for validation of the…

Artificial Intelligence · Computer Science 2014-06-20 Ovidiu-Andrei Schipor , Stefan-Gheorghe Pentiuc , Maria-Doina Schipor

Logics of knowledge and knowledge-based programs provide a way to give abstract descriptions of solutions to problems in fault-tolerant distributed computing, and have been used to derive optimal protocols for these problems with respect to…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-06 Kaya Alpturer , Gerald Huang , Ron van der Meyden

Continuous dynamical systems, characterized by differential equations, are ubiquitously used to model several important problems: plasma dynamics, flow through porous media, weather forecasting, and epidemic dynamics. Recently, a wide range…

Machine Learning · Computer Science 2023-10-04 Priyanshu Burark , Karn Tiwari , Meer Mehran Rashid , Prathosh A P , N M Anoop Krishnan