Blar i Vitenskapelige publikasjoner (TN-IDE) på forfatter "Wiktorski, Tomasz"
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Artifact Correction in Short-Term HRV during Strenuous Physical Exercise
Krolak, Aleksandra; Wiktorski, Tomasz; Bjørkavoll-Bergseth, Magnus; Ørn, Stein (Peer reviewed; Journal article, 2020-11)Heart rate variability (HRV) analysis can be a useful tool to detect underlying heart or even general health problems. Currently, such analysis is usually performed in controlled or semi-controlled conditions. Since many ... -
Automatic analysis of X (Twitter) data for supporting depression diagnosis
Królak, Aleksandra; Wiktorski, Tomasz; Żmudzińska, Aleksandra (Peer reviewed; Journal article, 2023-12)Depression is an increasingly common problem that often goes undiagnosed. The aim of this paper was to determine whether an analysis of tweets can serve as a proxy for assessing depression levels in the society. The work ... -
Bridging the demand and the offer in data science
Belloum, Adam SZ; Koulouzis, Spiros; Wiktorski, Tomasz; Manieri, Andrea (Peer reviewed; Journal article, 2019-03)During the last several years, we have observed an exponential increase in the demand for Data Scientists in the job market. As a result, a number of trainings, courses, books, and university educational programs (both at ... -
Extended approach to sum of absolute differences method for improved identification of periods in biomedical time series
Wiktorski, Tomasz; Krolak, Aleksandra (Peer reviewed; Journal article, 2020-10)Time series are a common data type in biomedical applications. Examples include heart rate, power output, and ECG. One of the typical analysis methods is to determine longest period a subject spent over a given heart rate ... -
Methods for preprocessing time and distance series data from personal monitoring devices
Wiktorski, Tomasz; Bjørkavoll-Bergseth, Magnus; Ørn, Stein (Peer reviewed; Journal article, 2020-06)There is a need to develop more advanced tools to improve guidance on physical exercise to reduce risk of adverse events and improve benefits of exercise. Vast amounts of data are generated continuously by Personal Monitoring ... -
Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction
Svane, Jakob; Wiktorski, Tomasz; Trygve Christian, Eftestøl; Stein, Ørn (Peer reviewed; Journal article, 2023-09)Heart rate variability (HRV) is the variation in time between successive heartbeats and can be used as an indirect measure of autonomic nervous system (ANS) activity. During physical exercise, movement of the measuring ... -
Recurrent Neural Networks for Artifact Correction in HRV Data During Physical Exercise
Svane, Jakob; Wiktorski, Tomasz; Ørn, Stein; Eftestøl, Trygve Christian (Peer reviewed; Journal article, 2023)In this paper, we propose the use of recurrent neural networks (RNNs) for artifact correction and analysis of heart rate variability (HRV) data. HRV can be a valuable metric for determining the function of the heart and ... -
A Survey on Distributed Fibre Optic Sensor Data Modelling Techniques and Machine Learning Algorithms for Multiphase Fluid Flow Estimation
Arief, Hasan Asyari; Wiktorski, Tomasz; Thomas, Peter (Peer reviewed; Journal article, 2021)Real-time monitoring of multiphase fluid flows with distributed fibre optic sensing has the potential to play a major role in industrial flow measurement applications. One such application is the optimization of hydrocarbon ... -
Training-while-drilling approach to inclination prediction in directional drilling utilizing recurrent neural networks
Tunkiel, Andrzej Tadeusz; Sui, Dan; Wiktorski, Tomasz (Peer reviewed; Journal article, 2020)Machine Learning adoption within drilling is often impaired by the necessity to train the model on data collected from wells analogous in lithology and equipment used to the well where the model is meant to be deployed. ... -
Visualization of generic utility of sequential patterns
Wiktorski, Tomasz; Królak, Aleksandra; Rosińska, Karolina; Strumillo, Pawel; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2020-05)Most of the literature on utility pattern mining (UPM) assumes that the particular patterns' utility in known in advance. Concurrently, in frequent pattern mining (FPM) it is assumed that all patterns take the same value. ...