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Department of Software Engineering
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total: 99
Catalog Publications
Year 2024
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Application Of Generative Adversarial Network for Data Augmentation and Multiplication to Automated Cell Segmentation of the Corneal Endothelium
PublicationConsidering the automatic segmentation of the endothelial layer, the available data of the corneal endothelium is still limited to a few datasets, typically containing an average of only about 30 images. To fill this gap, this paper introduces the use of Generative Adversarial Networks (GANs) to augment and multiply data. By using the ``Alizarine'' dataset, we train a model to generate a new synthetic dataset with over 513k images....
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing
PublicationCirculating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloodstream, which can cause metastasis. Detection and enumeration of CTCs show promising potential as a predictor for prognosis in cancer patients. Furthermore, single-cells sequencing is a technique that provides genetic information from individual cells and allows to classify them precisely and reliably. Sequencing data typically...
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Improving platelet‐RNA‐based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification
PublicationLiquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost-effective approach to detecting and monitoring cancer, even at its early stages. Due to the complexity of liquid biopsy data, machine-learning techniques are increasingly gaining attention in sample analysis, especially for multidimensional data such as RNA expression profiles. Yet, there is no agreement in the community...
Year 2023
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Classification of Sea Going Vessels Properties Using SAR Satellite Images
PublicationThe aim of the project was to analyze the possibility of using machine learning and computer vision to identify (indicate the location) of all sea-going vessels located in the selected area of the open sea and to classify the main attributes of the vessel. The key elements of the project were to download data from the Sentinel-1 satellite [1], download data on the sea vessels [2], then automatically tag data and develop a detection...
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Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium
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Neural Graph Collaborative Filtering: Analysis of Possibilities on Diverse Datasets
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Platelet RNA Sequencing Data Through the Lens of Machine Learning
PublicationLiquid biopsies offer minimally invasive diagnosis and monitoring of cancer disease. This biosource is often analyzed using sequencing, which generates highly complex data that can be used using machine learning tools. Nevertheless, validating the clinical applications of such methods is challenging. It requires: (a) using data from many patients; (b) verifying potential bias concerning sample collection; and (c) adding interpretability...
Year 2022
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Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review
PublicationThe automatic emotion recognition domain brings new methods and technologies that might be used to enhance therapy of children with autism. The paper aims at the exploration of methods and tools used to recognize emotions in children. It presents a literature review study that was performed using a systematic approach and PRISMA methodology for reporting quantitative and qualitative results. Diverse observation channels and modalities...
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Transformational Leadership and Acceptance of Mistakes as a Source of Learning: Poland-USA Cross-Country Study
PublicationThis study explores the influence of transformational leadership on internal innovativeness mediated by mistakes acceptance, including country and industry as factors to be considered and gender and risk-taking attitude as moderators. General findings, primarily based on the US samples (healthcare, construction, and IT industry), confirmed that transformational leadership and internal innovativeness are mediated by mistakes acceptance...
Year 2021
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Mining inconsistent emotion recognition results with the multidimensional model
PublicationThe paper deals with the challenge of inconsistency in multichannel emotion recognition. The focus of the paper is to explore factors that might influence the inconsistency. The paper reports an experiment that used multi-camera facial expression analysis with multiple recognition systems. The data were analyzed using a multidimensional approach and data mining techniques. The study allowed us to explore camera location, occlusions...
Year 2019
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A Study of the Impact of Internal and External Usability on Knowledge Transfer by the Means of Mobile Technologies: Preliminary Results
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Do online reviews reveal mobile application usability and user experience? The case of WhatsApp
PublicationThe variety of hardware devices and the diversity of their users imposes new requirements and expectations on designers and developers of mobile applications (apps). While the Internet has enabled new forms of communication platform, online stores provide the ability to review apps. These informal online app reviews have become a viral form of electronic wordof-mouth (eWOM), covering a plethora of issues. In our study, we set ourselves...
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Dynamical Aspects of Knowledge Evolution
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Fluent Editor and Controlled Natural Language in Ontology Development
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Year 2018
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Delivering Usability in IT Products: Empirical Lessons from the Field
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Frequent Sequence Mining in Web Log Data
PublicationThe amount of information available even on a single web server can be huge. On the other hand, the amount of visitors (users) can often reach a number of at least six digits. Users vary in gender, age and education, and in consequence their information needs are different. Moreover, they subconsciously expect to get more adequate content after visiting the first few pages. The scope of this kind of problem relates to the domain...
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Frequent Sequence Mining in Web Log Data
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Mining e-mail message sequences from log data
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Usability attributes revisited: a time-framed knowledge map
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Year 2017
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Cognitum Ontorion: Knowledge Representation and Reasoning System
PublicationAt any point of human activity, knowledge and expertise are a key factors in understanding and solving any given problem. In present days, computer systems have the ability to support their users in an efficient and reliable way in gathering and processing knowledge. In this chapter we show how to use Cognitum Ontorion system in this areas. In first section, we identify emerging issues focused on how to represent and inference...
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The lemniscate knowledge flow model
PublicationKnowledge is seen as one of the main resources for organizations providing knowledge-intensive services. Therefore, sharing and reusing are the main goals of modern knowledge management (KM) approach, driven by information and communication technologies (ICT). However, one can ask for the details in order to provide means and tools to design and deploy environment able to fulfil these two goals. We observed that occurred interactions...
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Towards better understanding of context-aware knowledge transformation
PublicationConsidering different aspects of knowledge functioning, context is poorly understood in spite of intuitively identifying this concept with environmental recognition. For dynamic knowledge, context especially seems to be an essential factor of change. Investigation on the impact of context on knowledge dynamics or more generally on the relationship between knowledge and its contextual interpretation is important in order to understand...
Year 2016
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An Ontology-based Contextual Pre-filtering Technique for Recommender Systems
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Exploring an Ontological Approach for User Requirements Elicitation in the Design of Online Virtual Agents
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Exploring ontological approach for user requirements elicitation in design of online virtual agents
PublicationEffective user requirements elicitation is a key factor for the success of software development projects. There are many qualitative and quantitative research studies that promulgate particular methods and show the application of user requirements elicitation in particular domains. However, few try to eliminate the burden of ambiguity in gathered data, naturally occurring in different groups of stakeholders. This paper deals with...
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Eye-tracking Web Usability Research
PublicationIn this paper we present the results of a study that aims to evaluate the usability of three selected web services, based on eye–tracking and thinking aloud techniques. The gathered comments and observations, recapitulated and supported by particular measures, allow us to discover and describe typical user behavior pertaining to given tasks to solve.
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Facing the brainstorming theory. A case of requirements elicitation
PublicationKnowledge is still considered to be power and its externalization makes it possible for others to use that power. In this paper, we examine the theory of brainstorming, and the claim by father Alex Osborn that in a group session an individual can think of twice as many ideas than working alone. In the context of requirements elicitation, we performed an experiment on a “nominal” and a “real” group of participants, following a procedure...
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Hard lessons learned: delivering usability in IT projects
PublicationEffective project management requires the development of a realistic plan which aims to ensure the success of the project and ultimately deliver a high quality product to customers. However, experience shows that the majority of software vendors managing projects suffer from numerous problems to provide usability in IT solutions and complete a project in a given time with success. In this paper we discuss, analyze and synthesize...
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Knowledge-Grid Modelling for Academic Purposes
PublicationNowadays, we face a huge amount of data and information sharing on the Web by different users worldwide. A multidimensional perspective in describing a university ontology seems to be very important for the modelling of higher education resources. This paper proposes a multi-dimensional knowledge model, designed to distribute and manage knowledge resources efficiently. We propose our model as the foundation of an advanced knowledge...
Year 2015
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Cognitum Ontorion: Knowledge Representation and Reasoning System
Publication“If knowledge can create problems, it is not through ignorance that we can solve them.” (Isaac Asimov). Nevertheless, at any point of human activity, knowledge (besides practice) is a key factor in understanding and solving any given problem. Nowadays, computer systems have the ability to support their users in an efficient and reliable way. In this paper we present and describe the functionality of the Cognitum Ontorion system....
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Evaluation of Open Source SIEM for Situation Awareness Platform in the Smart Grid Environment
PublicationThe smart grid as a large-scale system of systems has an exceptionally large surface exposed to cyber-attacks, including highly evolved and sophisticated threats such as Advanced Persistent Threats (APT) or Botnets. When addressing this situation the usual cyber security technologies are prerequisite, but not sufficient. The smart grid requires developing and deploying an extensive ICT infrastructure that supports significantly...
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Perspektywy wykorzystania architektury korporacyjnej w tworzeniu rozwiązań smart city
PublicationIdea jaką jest SmartCity jest na tyle nowa, iż trudno znaleźć kompleksowy i w pełni działający system obejmujący wszystkich jego interesariuszy oraz ich wymagania względem niego – rozumianego jako przedsięwzięcie, a nie system informatyczny. Obecnie prowadzonych jest wiele projektów o których można powiedzieć, iż są to projekty „wyspowe” - obejmują tylko jedno, lub kilka zagadnień (domen, aspektów), związanych z zarządzaniem przestrzenią...
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Testing Situation Awareness Network for the Electrical Power Infrastructure
PublicationThe contemporary electrical power infrastructure is exposed to new types of threats. The cause of such threats is related to the large number of new vulnerabilities and architectural weaknesses introduced by the extensive use of Information and Communication Technologies (ICT) in such complex critical systems. The power grid interconnection with the Internet exposes the grid to new types of attacks, such as Advanced Persistent...
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Toward knowledge-grid model for academic purposes
PublicationNowadays we face a huge amount of data and information sharing on the Web by different users worldwide. For example, the academic environment is one of such places where teachers share and manage knowledge for groups of students. This paper proposes a multi-dimensional knowledge space model, designed to distribute and manage knowledge resources efficiently. We view our model as a foundation of a knowledge grid platform. Two crucial...
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Udział podmiotów gospodarczych determinantą transformacji współczesnego miasta w kierunku inteligentnego miasta
PublicationWraz ze wzrostem populacji, miasta dotykają złożone problemy. Skalę problemu ilustrują liczby: w 2008 r. na terenach zurbanizowanych żyło ponad 50% światowej populacji, czyli około 3,3 mld ludzi, zaś do 2030 r. prognozuje się wzrost liczby ich mieszkańców do ok. 5 mld. Jedną z koncepcji poprawy warunków życia jest koncepcja smarc city (SC) - inteligentnego miasta.
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User interface prototyping. Techniques, methods and tools
PublicationCurrently, for interactive applications their usability and ergonomics of the user interface (UI) are critical factors for achieving users' acceptance.
Year 2014
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Data Model Development for Security Information Sharing in Smart Grids
PublicationThe smart grid raises new security concerns which require novel solutions. It is commonly agreed that to protect the grid, the effective collaboration and information sharing between the relevant stakeholders is prerequisite. Developing a security information sharing platform for the smart grid is a new research direction which poses several challenges related to the highly distributed and heterogeneous character of the grid. In...
Year 2009
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Analiza zachowań użytkowników portalu onet.pl w ujęciu reguł asocjacyjnych
PublicationPortale internetowe są obecnie powszechnym źródłem informacji, notując bardzo dużą liczbę odwiedzin w ciągu dnia. Aktywność użytkowników zapisywana jest w plikach loga serwera WWW. Analiza takich danych może być z powodzeniem wykorzystana do określenia ścieżek nawigacji użytkowników. Uzyskana w ten sposób wiedza pozwala na stworzenie skutecznej strategii marketingowej dla produktów i usług oferowanych w ramach portalu. W niniejszej...
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Discovering patterns of Web Page Visits from Associaton Rules Viewpoint
PublicationThe popularity of the Internet results from the almost unlimited resources of information stored in it. At the same time, Internet portals have become a widespread source of information and note very large number of visits. The list of web pages opened by users is stored in web servers' log files. Extraction of knowledge on the navigation paths of users has become carefully analyzed problem. Currently, there are a number of algorithms...
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Ekonometryczne szacowanie parametrów jako metoda przetwarzania wstępnego w systemach agentowych
PublicationAutorzy przedstawią w pracy ideę systemu wieloagentowego do oceny technologii informatycznych. Model zaprojektowany pierwotnie dla wsparcia decyzyjnego w obszarze IT zaadoptowano dla środowiska przetwarzania danych chemicznych. Osiągniętym celem był oparty na wiedzy mechanizm generowania prognoz o stężeniu zanieczyszczeń chemicznych. Model został pozytywnie zweryfikowany z punktu widzenia jego struktury i algorytmu działania. W...
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Odkrywanie reguł asocjacyjnych z transakcyjnych baz danych
PublicationW metodologii drążenia danych ekstrakcja reguł asocjacyjnych z dużych baz danych jest popularną i wysoko rozwiniętą metodą odkrywania nieznanych związków pomiędzy zmiennymi. Zaprezentowany w niniejszej pracy algorytm Apriori jest przeznaczony do znalezienia powiązań pomiędzy produktami zarejestrowanymi przez systemy transakcyjne w sklepach wielkopowierzchniowych. Posiadanie takiej wiedzy może być z powodzeniem wykorzystane do zarządzania...
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Przegląd miar oceny oprogramowania
PublicationProblem oceny oprogramowania istnieje od momentu pojawienia się pierwszego programu komputerowego. Historycznie miary jakości oprogramowania miały zupełnie inne przeznaczenie, gdyż skupiały się na częstotliwości defektów lub błędów oprogramowania. Błędnie bazowało to na założeniu, że jakość oprogramowania to brak błędów. Stąd też używano prostej statystyki typu liczby błędów, wykrytych w określonym przedziale czasu (np. rocznym)...
Year 2008
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Algorithms for query processing in a distributed knowledge integration system
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Processing and Querying Description Logic Ontologies Using Cartographic Approach
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Year 2006
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Managing Data from Heterogeneous Data Sources Using Knowledge Layer
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The Knowledge Cartography – A New Approach to Reasoning over Description Logics Ontologies
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Year 2005
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A method of software project risk identyfication and analysis
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A service-oriented approach to the identification of IT Risk
PublicationArtykuł przedstawia ogólne podejście do identyfikacji ryzyka eksploatacji systemów informatycznych, które obejmuje bezpieczeństwo, ochronę, prywatność oraz uzależnienie. Podejście oparte jest na badaniu trybów awarii usług dostarczanych użytkownikom przez oprogramowanie. Identyfikacja ryzyka na podstawie przeglądu usług uzupełniana jest listami kontrolnymi wyprowadzonymi ze standardów, a także klasycznymi technikami analizy bezpieczeństwa...
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Aspekty technologiczne projektu SETI-1
PublicationPrzedstawiono technologiczne aspekty projektu systemu SETI-1, przeznaczonego do wspomagania zarządzania Wydziałem Elektroniki, Telekomunikacji i Informatyki PG. Opisano wybrane środowisko wytwórcze w podziale na część sprzętową i programową. W tym samym układzie przedstawiono środowisko wykonania. szczególny nacisk położono na wybrane technologie i narzędzia programistyczne.
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Capturing semantics of semi-structured data using partial-order trees
PublicationW artykule zaprezentowano nowe podejście do problemu klasyfikacji danych semistrukturalnych. Kryteria klasyfikacji bazują na strukturze danych (zwanej typem danych) oraz na ich usytuowaniu w grafir danych (zwanym rolą danych). Zastosowano model OEM (Object Exchange Model) do reprezentacji nazy danych semistrukturalnych. Bazując na tej reprezentacji, definiuje się typy i role obiektów semistrukturalnych i organizuje się je w struktury...