Tomasz Wiktorski

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Top Venues

Publications

Maria Ploog, Tomasz Wiktorski
The intentions of the designers of digital educational tools in early childhood education. Int. J. Child Comput. Interact. 40 (2024)
Jakob Svane, Tomasz Wiktorski, Trygve Eftestøl, Stein Ørn
Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. CBMS (2024)
Hasan Asy'ari Arief, Peter James Thomas, Tomasz Wiktorski
Better Modeling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup. IEEE Trans. Ind. Informatics 19 (1) (2023)
Felix James Pacis, Adrian Ambrus, Sergey Alyaev, Rasool Khosravanian, Tron Golder Kristiansen, Tomasz Wiktorski
Improving predictive models for rate of penetration in real drilling operations through transfer learning. J. Comput. Sci. 72 (2023)
Felix James Pacis, Sergey Alyaev, Adrian Ambrus, Tomasz Wiktorski
Transfer Learning Approach to Prediction of Rate of Penetration in Drilling. ICCS (1) (2022)
Hasan Asy'ari Arief, Peter James Thomas, Tomasz Wiktorski
Better Modelling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup. CoRR (2022)
Hasan Asy'ari Arief, Tomasz Wiktorski, Peter James Thomas
A Survey on Distributed Fibre Optic Sensor Data Modelling Techniques and Machine Learning Algorithms for Multiphase Fluid Flow Estimation. Sensors 21 (8) (2021)
Yuri Demchenko, Juan Jose Cuadrado-Gallego, Steve Brewer, Tomasz Wiktorski
EDISON Data Science Framework (EDSF): Addressing Demand for Data Science and Analytics Competences for the Data Driven Digital Economy. EDUCON (2021)
Aleksandra Królak, Tomasz Wiktorski, Magnus Friestad Bjørkavoll-Bergseth, Stein Ørn
Artifact Correction in Short-Term HRV during Strenuous Physical Exercise. Sensors 20 (21) (2020)
Tomasz Wiktorski, Aleksandra Królak, Karolina Rosinska, Pawel Strumillo, Jerry Chun-Wei Lin
Visualization of Generic Utility of Sequential Patterns. IEEE Access 8 (2020)
Adam S. Z. Belloum, Spiros Koulouzis, Tomasz Wiktorski, Andrea Manieri
Bridging the demand and the offer in data science. Concurr. Comput. Pract. Exp. 31 (17) (2019)
Tomasz Wiktorski, Jerry Chun-Wei Lin
Approximate Approach to Finding Generic Utility of Sequential Patterns. ICDM Workshops (2019)
Tomasz Wiktorski, Yuri Demchenko, Oleg Chertov
Data Science Model Curriculum Implementation for Various Types of Big Data Infrastructure Courses. eScience (2019)
Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Tomasz Wiktorski, Tzung-Pei Hong, Matin Pirouz
A GA-based Framework for Mining High Fuzzy Utility Itemsets. IEEE BigData (2019)
Yuri Demchenko, Tomasz Wiktorski, Juan Cuadrado Gallego, Steve Brewer
EDISON Data Science Framework (EDSF) Extension to Address Transversal Skills Required by Emerging Industry 4.0 Transformation. eScience (2019)
Dominika Dlugosz, Trygve Eftestøl, Aleksandra Królak, Tomasz Wiktorski, Stein Ørn
The North Sea Bicycle Race ECG Project: Time-Domain Analysis. J. Autom. Mob. Robotics Intell. Syst. 12 (1) (2018)
Dominika Dlugosz, Aleksandra Królak, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Kay Raymond Jenssen Oskal, Martin Nygård
ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014. FedCSIS (2018)
Tomasz Wiktorski
Challenges in Causal Inference from Personal Monitoring Devices. FedCSIS (Position Papers) (2018)
Tomasz Wiktorski, Yuri Demchenko, Adam Belloum
Model Curricula for Data Science EDISON Data Science Framework. CloudCom (2017)
Dominika Dlugosz, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Aleksandra Królak
The North Sea Bicycle Race ECG Project: Time-Domain Analysis. FedCSIS (2017)
Yuri Demchenko, Adam Belloum, Cees de Laat, Charles Loomis, Tomasz Wiktorski, Erwin Spekschoor
Customisable Data Science Educational Environment: From Competences Management and Curriculum Design to Virtual Labs On-Demand. CloudCom (2017)
Bikash Agrawal, Tomasz Wiktorski, Chunming Rong
Adaptive real-time anomaly detection in cloud infrastructures. Concurr. Comput. Pract. Exp. 29 (24) (2017)
Bikash Agrawal, Raymond A. Hansen, Chunming Rong, Tomasz Wiktorski
SD-HDFS: Secure Deletion in Hadoop Distributed File System. BigData Congress (2016)
Bikash Agrawal, Tomasz Wiktorski, Chunming Rong
Adaptive Anomaly Detection in Cloud Using Robust and Scalable Principal Component Analysis. ISPDC (2016)
Bikash Agarwal, Antorweep Chakravorty, Tomasz Wiktorski, Chunming Rong
Enrichment of machine learning based activity classification in smart homes using ensemble learning. UCC (2016)
Yuri Demchenko, Adam Belloum, Wouter Los, Tomasz Wiktorski, Andrea Manieri, Holger Brocks, Jana Becker, Dominic Heutelbeck, Matthias L. Hemmje, Steve Brewer
EDISON Data Science Framework: A Foundation for Building Data Science Profession for Research and Industry. CloudCom (2016)
Tomasz Wiktorski, Yuri Demchenko, Adam Belloum, Anoosheh Shirazi
Quantitative and Qualitative Analysis of Current Data Science Programs from Perspective of Data Science Competence Groups and Framework. CloudCom (2016)
Andrea Manieri, Steve Brewer, Ruben Riestra, Yuri Demchenko, Matthias L. Hemmje, Tomasz Wiktorski, Tiziana Ferrari, Jérémy Frey
Data Science Professional Uncovered: How the EDISON Project will Contribute to a Widely Accepted Profile for Data Scientists. CloudCom (2015)
Tomasz Wiktorski, Thomas J. Hacker, Raymond A. Hansen, Gregory P. Rodgers
Experience with Problem-Based Learning in a Hybrid Classroom. CloudCom (2015)
Bikash Agrawal, Tomasz Wiktorski, Chunming Rong
Analyzing and Predicting Failure in Hadoop Clusters Using Distributed Hidden Markov Model. CloudCom-Asia (2015)
Lars Ropeid Selsaas, Bikash Agrawal, Chunming Rong, Tomasz Wiktorski
AFFM: Auto Feature Engineering in Field-Aware Factorization Machines for Predictive Analytics. ICDM Workshops (2015)