Search Results - "Nalepa, Grzegorz J."
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Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations
Published in Sensors (Basel, Switzerland) (31-12-2021)“…Development of predictive maintenance (PdM) solutions is one of the key aspects of Industry 4.0. In recent years, more attention has been paid to data-driven…”
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Semantic data mining‐based decision support for quality assessment in steel industry
Published in Expert systems (01-02-2024)“…This study evaluates quality management practices in Industry 4.0 in a specific case of steel manufacturing. We formulate a novel proposal based on Semantic…”
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Cognitive load, fatigue and aversive simulator symptoms but not manipulated zeitgebers affect duration perception in virtual reality
Published in Scientific reports (20-09-2022)“…The perceived duration of an interval depends on numerous aspects of the passed event both endogenous, including physiological arousal, level of wakefulness,…”
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Analysis and Use of the Emotional Context with Wearable Devices for Games and Intelligent Assistants
Published in Sensors (Basel, Switzerland) (31-05-2019)“…In this paper, we consider the use of wearable sensors for providing affect-based adaptation in Ambient Intelligence (AmI) systems. We begin with discussion of…”
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Personality-Based Affective Adaptation Methods for Intelligent Systems
Published in Sensors (Basel, Switzerland) (29-12-2020)“…In this article, we propose using personality assessment as a way to adapt affective intelligent systems. This psychologically-grounded mechanism will divide…”
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6
Semantic Data Mining in Ubiquitous Sensing: A Survey
Published in Sensors (Basel, Switzerland) (24-06-2021)“…Mining ubiquitous sensing data is important but also challenging, due to many factors, such as heterogeneous large-scale data that is often at various levels…”
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Enhancing cluster analysis with explainable AI and multidimensional cluster prototypes
Published in IEEE access (2022)“…Explainable Artificial Intelligence (XAI) aims to introduce transparency and intelligibility into the decision-making process of AI systems. Most often, its…”
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Conformance Checking of a Longwall Shearer Operation Based on Low-Level Events
Published in Energies (Basel) (15-12-2020)“…Conformance checking is a process mining technique that compares a process model with an event log of the same process to check whether the current execution…”
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Imperative vs. Declarative Modeling of Industrial Process. The Case Study of the Longwall Shearer Operation
Published in IEEE access (2023)“…Process modeling is an important and necessary step for further analysis and monitoring of industrial processes. In the process modeling two main paradigms…”
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BIRAFFE2, a multimodal dataset for emotion-based personalization in rich affective game environments
Published in Scientific data (07-06-2022)“…Generic emotion prediction models based on physiological data developed in the field of affective computing apparently are not robust enough. To improve their…”
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Email Campaign Evaluation Based on User and Mail Server Response
Published in Applied sciences (01-02-2023)“…The goal of an email service provider company is to send out a large number of emails to help its clients realise successful email marketing activities…”
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Virtual Reality-Based Parallel Coordinates Plots Enhanced with Explainable AI and Data-Science Analytics for Decision-Making Processes
Published in Applied sciences (01-01-2022)“…We present a refinement of the Immersive Parallel Coordinates Plots (IPCP) system for Virtual Reality (VR). The evolved system provides data-science analytics…”
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Formal Model of Business Processes Integrated with Business Rules
Published in Information systems frontiers (01-10-2019)“…Business Processes describe the ways in which operations are carried out in order to accomplish the intended objectives of organizations. A process can be…”
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KnAC: an approach for enhancing cluster analysis with background knowledge and explanations
Published in Applied intelligence (Dordrecht, Netherlands) (01-06-2023)“…Pattern discovery in multidimensional data sets has been the subject of research for decades. There exists a wide spectrum of clustering algorithms that can be…”
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A method for generation and design of business processes with business rules
Published in Information and software technology (01-11-2017)“…Context: Business Processes provide a universal method of describing operational aspects of business. Business Rules, in turn, support declarative…”
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Conformance Checking for Time-Series-Aware Processes
Published in IEEE transactions on industrial informatics (01-02-2021)“…This article tackles the problem of checking the conformance between a business process model and the data produced by its execution in cases where the data…”
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Artificial Intelligence Research Community and Associations in Poland
Published in Foundations of computing and decision sciences (01-09-2020)“…In last years Artificial Intelligence presented a tremendous progress by offering a variety of novel methods, tools and their spectacular applications. Besides…”
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HEARTDROID—Rule engine for mobile and context‐aware expert systems
Published in Expert systems (01-02-2019)“…Building mobile context‐aware systems is inherently complex and non‐trivial task. It consists of several phases starting from acquisition of context, through…”
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Generating Local Search Neighborhood with Synthesized Logic Programs
Published in Electronic proceedings in theoretical computer science (19-09-2019)“…Local Search meta-heuristics have been proven a viable approach to solve difficult optimization problems. Their performance depends strongly on the search…”
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A study of methodological issues in design and development of rule-based systems: proposal of a new approach
Published in Wiley interdisciplinary reviews. Data mining and knowledge discovery (01-03-2011)“…Rule‐based systems (RBSs) constitute a powerful technology for declarative encoding and automated processing of large bodies of knowledge. A typical RBS…”
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