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Katalog Publikacji

Rok 2024
  • Usability Testing of Mobile Applications: A Methodological Framework
    Publikacja

    Less than five percent of all mobile applications have become successful throughout 2023. The success of a new mobile application depends on a variety of factors ranging from business understanding, customer value, and perceived quality of use. In this sense, the topic of usability testing of mobile applications is relevant from the point of view of user satisfaction and acceptance. However, the current knowledge seems to be fragmented,...

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  • Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
    Publikacja
    • S. Donghui
    • L. Zhigang
    • J. Zurada
    • A. Manikas
    • J. Guan
    • P. Weichbroth

    - KNOWLEDGE AND INFORMATION SYSTEMS - Rok 2024

    The construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole.The existing research on construction accidents heavily relies on expert evaluations,which often suffer from issues such as low efficiency, insufficient intelligence, and subjectivity.However, expert opinions provided in construction...

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  • Exploring the Benefits, Challenges, and Opportunities of Collaborative Business Intelligence
    Publikacja

    - Rok 2024

    In traditional business intelligence (BI) settings, the collective decision-making process is often hindered by the absence of knowledge and expertise exchange among various stakeholders, as well as lack of information sharing. The study delves into the concept of Collaborative BI, which aims to overcome these limitations by promoting collaboration, business networking, knowledge sharing, and improved communication among stakeholders....

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  • Exploring Relationships Between Data in Enterprise Information Systems by Analysis of Log Contents
    Publikacja

    - Rok 2024

    Enterprise systems are inherently complex and maintaining their full, up-to-date overview poses a serious challenge to the enterprise architects’ teams. This problem encourages the search for automated means of discovering knowledge about such systems. An important aspect of this knowledge is understanding the data that are processed by applications and their relationships. In our previous work, we used application logs of an enterprise...

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Rok 2023
Rok 2022
  • Toward a unified model of mobile Business Intelligence (m-BI) acceptance and use
    Publikacja

    - Rok 2022

    Factors affecting mobile business intelligence (m-BI) acceptance and use have become an increasingly important topic in practice due to the growing complexity of organizations, and their underlying information systems (IS). Since, one can notice considerable interest in m-BI, however, to the best of our knowledge few studies (if any) aim to synthesize the existing body of knowledge with regards to the factors affecting m-BI acceptance...

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  • Systematic Literature Review for Emotion Recognition from EEG Signals

    Researchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...

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  • Systematic Literature Review for Emotion Recognition from EEG Signals

    Researchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...

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  • Stress Detection of Children with Autism using Physiological Signals in Kaspar Robot-Based Intervention Studies
    Publikacja
    • B. Coskun
    • P. Uluer
    • E. Toprak
    • D. E. Barkana
    • H. Kose
    • T. Zorcec
    • B. Robins
    • A. Landowska

    - Rok 2022

    This study aims to develop a stress detection system using the blood volume pulse (BVP) signals of children with Autism Spectrum Disorder (ASD) during robot-based interven- tion. This study presents the heart rate variability (HRV) analysis method to detect the stress, where HRV features are extracted from raw BVP signals recorded from an E4 wristband during interaction studies with the social robot Kaspar. Low frequency power...

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  • Stress Detection of Children With ASD Using Physiological Signals
    Publikacja
    • S. N. B. Aktas
    • P. Uluer
    • B. Coskun
    • E. Toprak
    • D. E. Barkana
    • H. Kose
    • T. Zorcec
    • B. Robins
    • A. Landowska

    - Rok 2022

    This paper proposes a physiological signal-based stress detection approach for children with autism spectrum disorder (ASD) to be used in social and assistive robot inter- vention. Electrodermal activity (EDA) and blood volume pulse (BVP) signals are collected with an E4 smart wristband from children with ASD in different countries. The peak count and signal amplitude features are derived from EDA signal and used in order to detect...

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  • Scaled agile framework. Dealing with software process‐related challenges of a financial group with the action research approach
    Publikacja

    - Journal of Software-Evolution and Process - Rok 2022

    This article reports on a domain-specific software development venture at Nordea. We explore organizational constraints, challenges, and corrective actions undertaken when scaling the agile development approach of their Core Banking Platform program. The fit and required customizations of the rather complex and rigid SAFe framework in a policy-heavy financial institution are audited against the organic growth of the program. In...

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  • Multi-domain and Context-Aware Recommendations Using Contextual Ontological User Profile
    Publikacja

    - Rok 2022

    Recommender Systems (RS) became popular tools in many Web services like Netflix, Amazon, or YouTube, because they help a~user to avoid an information overload problem. One of the types of RS are Context-Aware RS (CARS) which exploit contextual information to provide more adequate recommendations. Cross-Domain RS (CDRS) were created as a response to the data sparsity problem which occurs when only few users can provide reviews or...

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  • Monolithic vs. Microservice Architecture: A Performance and Scalability Evaluation
    Publikacja

    - IEEE Access - Rok 2022

    Context. Since its proclamation in 2012, microservices-based architecture has gained widespread popularity due to its advantages, such as improved availability, fault tolerance, and horizontal scalability, as well as greater software development agility. Motivation. Yet, refactoring a monolith to microservices by smaller businesses and expecting that the migration will bring benefits similar to those reported by top global companies,...

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  • Lessons learned from developing an Industry 4.0 mobile process management system supported by Artificial Intelligence

    Research, development and innovation (RDI) projects are undertaken in order to improve existing, or develop new, more efficient products and services. Moreover, the goal of innovation is to produce new knowledge through research, and disseminating it through education and training. In this line of thinking, this paper reports and discusses the lessons learned from the undertaken project, regarding three areas: machine learning...

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  • Landscape of Automated Log Analysis: A Systematic Literature Review and Mapping Study
    Publikacja

    - IEEE Access - Rok 2022

    Logging is a common practice in software engineering to provide insights into working systems. The main uses of log files have always been failure identification and root cause analysis. In recent years, novel applications of logging have emerged that benefit from automated analysis of log files, for example, real-time monitoring of system health, understanding users’ behavior, and extracting domain knowledge. Although nearly every...

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  • Improving Re-rankCCP with Rules Quality Measures
    Publikacja

    - Rok 2022

    Recommender Systems are software tools and techniques which aim at suggesting new items that may possibly be of interest to a user. Context-Aware Recommender Systems exploit contextual information to provide more adequate recommendations. In this paper we described a modification of an existing contextual post-filtering algorithm which uses rules-like user representation called Contextual Conditional Preferences. We extended the...

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  • Improving medical experts’ efficiency of misinformation detection: an exploratory study
    Publikacja
    • A. Nabożny
    • B. Balcerzak
    • M. Morzy
    • A. Wierzbicki
    • P. Savov
    • K. Warpechowski

    - WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS - Rok 2022

    Fighting medical disinformation in the era of the pandemic is an increasingly important problem. Today, automatic systems for assessing the credibility of medical information do not offer sufficient precision, so human supervision and the involvement of medical expert annotators are required. Our work aims to optimize the utilization of medical experts’ time. We also equip them with tools for semi-automatic initial verification...

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  • Game-based Sprint retrospectives: multiple action research

    In today’s fast-paced world of rapid technological change, software development teams need to constantly revise their work practices. Not surprisingly, regular reflection on how to become more effective is perceived as one of the most important principles of Agile Software Development. Nevertheless, running an effective and enjoyable retrospective meeting is still a challenge in real environments. As reported by several studies,...

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  • E-technologie wspomagające terapię dzieci z autyzmem

    Autyzm jest zaburzeniem rozwojowym, w którym deficytowe są umiejętności komunikacyjne oraz możliwości uczenia. Edukacja i terapia dzieci z autyzmem wymaga zindywidualizowanego podejścia, gdyż występowanie i nasilenie objawów jest u nich różnorodne. Rozwiązania technologiczne, wspierające procesy terapeutyczne w autyzmie, muszą spełniać wiele kryteriów, oprócz ogólnej użyteczności czy też dopasowania do wieku dzieci. Projektowanie...

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  • Emotion Recognition from Physiological Channels Using Graph Neural Network

    In recent years, a number of new research papers have emerged on the application of neural networks in affective computing. One of the newest trends observed is the utilization of graph neural networks (GNNs) to recognize emotions. The study presented in the paper follows this trend. Within the work, GraphSleepNet (a GNN for classifying the stages of sleep) was adjusted for emotion recognition and validated for this purpose. The...

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  • Discovering interactions between applications with log analysis
    Publikacja

    Application logs record the behavior of a system during its runtime and their analysis can provide useful information. In this article, we propose a method of automated log analysis to discover interactions taking place between applications in an enterprise. We believe that such an automated approach can greatly support enterprise architects in building an up-to-date view of a governed system in a modern, fast-paced development...

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  • ARIMA vs LSTM on NASDAQ stock exchange data
    Publikacja

    - Procedia Computer Science - Rok 2022

    This study compares the results of two completely different models: statistical one (ARIMA) and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are used to predict daily or monthly average prices of chosen companies listed on the NASDAQ stock exchange. Research shows which model performs better in terms of the chosen input data, parameters and number of features. The chosen models were compared using...

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  • An Empirical Study on the Impact of Gender on Mobile Applications Usability
    Publikacja

    - IEEE Access - Rok 2022

    In the area of broadband wireless Internet, mobile applications have already replaced their desktop equivalents and are recognized as valuable tools for any size of businesses and for private use. With the emergence of millions of apps, the quality of their interaction with the user remains an open question for software vendors. While female and male requirements and preferences are not always similar, to the best of our knowledge,...

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  • A note on the affective computing systems and machines: a classification and appraisal
    Publikacja

    Affective computing (AfC) is a continuously growing multidisciplinary field, spanning areas from artificial intelligence, throughout engineering, psychology, education, cognitive science, to sociology. Therefore, many studies have been devoted to the aim of addressing numerous issues, regarding different facets of AfC solutions. However, there is a lack of classification of the AfC systems. This study aims to fill this gap by reviewing...

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  • A comprehensive overview of software product management challenges

    The principal focus of software product management is to ensure the economic success of the product, which means to prolong the product life as much as possible with modest expenditures to maximizs profits. Software product managers play an important role in the software development organization while being responsible for the strategy, business case, product roadmap, high-level requirements, product deployment (release-management),...

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  • A Case Study on Implementing Agile Techniques and Practices: Rationale, Benefits, Barriers and Business Implications for Hardware Development
    Publikacja

    Agile methodologies, along with the corresponding tools and practices, are claimed to facilitate teams in managing their work more effectively and conducting their work more efficiently while fostering the highest quality product within the constraints of the budget. Therefore, the rate of awareness and adoption of Agile frameworks both within and outside the software industry has increased significantly. Yet, the latest studies...

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Rok 2021