Tomasz Wiktorski

According to our database, Tomasz Wiktorski authored at least 29 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Improving predictive models for rate of penetration in real drilling operations through transfer learning.

Felix James Pacis, Adrian Ambrus, Sergey Alyaev, Rasool Khosravanian, Tron Golder Kristiansen, Tomasz Wiktorski

J. Comput. Sci., September, 2023

Better Modeling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup.

Hasan Asy'ari Arief, Peter James Thomas, Tomasz Wiktorski

IEEE Trans. Ind. Informatics, 2023

2022

Better Modelling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup.

Hasan Asy'ari Arief, Peter James Thomas, Tomasz Wiktorski

CoRR, 2022

Transfer Learning Approach to Prediction of Rate of Penetration in Drilling.

Felix James Pacis, Sergey Alyaev, Adrian Ambrus, Tomasz Wiktorski

Proceedings of the Computational Science - ICCS 2022, 2022

2021

A Survey on Distributed Fibre Optic Sensor Data Modelling Techniques and Machine Learning Algorithms for Multiphase Fluid Flow Estimation.

Hasan Asy'ari Arief, Tomasz Wiktorski, Peter James Thomas

Sensors, 2021

EDISON Data Science Framework (EDSF): Addressing Demand for Data Science and Analytics Competences for the Data Driven Digital Economy.

Yuri Demchenko, Juan Jose Cuadrado-Gallego, Steve Brewer, Tomasz Wiktorski

Proceedings of the IEEE Global Engineering Education Conference, 2021

2020

Artifact Correction in Short-Term HRV during Strenuous Physical Exercise.

Aleksandra Królak, Tomasz Wiktorski, Magnus Friestad Bjørkavoll-Bergseth, Stein Ørn

Sensors, 2020

Visualization of Generic Utility of Sequential Patterns.

Tomasz Wiktorski, Aleksandra Królak, Karolina Rosinska, Pawel Strumillo, Jerry Chun-Wei Lin

IEEE Access, 2020

2019

Data-intensive Systems - Principles and Fundamentals using Hadoop and Spark

Tomasz Wiktorski

Advanced Information and Knowledge Processing, Springer, ISBN: 978-3-030-04602-6, 2019

Bridging the demand and the offer in data science.

Adam S. Z. Belloum, Spiros Koulouzis, Tomasz Wiktorski, Andrea Manieri

Concurr. Comput. Pract. Exp., 2019

Approximate Approach to Finding Generic Utility of Sequential Patterns.

Tomasz Wiktorski, Jerry Chun-Wei Lin

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Data Science Model Curriculum Implementation for Various Types of Big Data Infrastructure Courses.

Tomasz Wiktorski, Yuri Demchenko, Oleg Chertov

Proceedings of the 15th International Conference on eScience, 2019

EDISON Data Science Framework (EDSF) Extension to Address Transversal Skills Required by Emerging Industry 4.0 Transformation.

Yuri Demchenko, Tomasz Wiktorski, Juan Jose Cuadrado-Gallego, Steve Brewer

Proceedings of the 15th International Conference on eScience, 2019

A GA-based Framework for Mining High Fuzzy Utility Itemsets.

Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Tomasz Wiktorski, Tzung-Pei Hong, Matin Pirouz

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

The North Sea Bicycle Race ECG Project: Time-Domain Analysis.

Dominika Dlugosz, Trygve Eftestøl, Aleksandra Królak, Tomasz Wiktorski, Stein Ørn

J. Autom. Mob. Robotics Intell. Syst., 2018

Challenges in Causal Inference from Personal Monitoring Devices.

Tomasz Wiktorski

Proceedings of the Position Papers of the 2018 Federated Conference on Computer Science and Information Systems, 2018

ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014.

Dominika Dlugosz, Aleksandra Królak, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Kay Raymond Jenssen Oskal, Martin Nygård

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017

Adaptive real-time anomaly detection in cloud infrastructures.

Bikash Agrawal, Tomasz Wiktorski, Chunming Rong

Concurr. Comput. Pract. Exp., 2017

Model Curricula for Data Science EDISON Data Science Framework.

Tomasz Wiktorski, Yuri Demchenko, Adam Belloum

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2017

Customisable Data Science Educational Environment: From Competences Management and Curriculum Design to Virtual Labs On-Demand.

Yuri Demchenko, Adam Belloum, Cees de Laat, Charles Loomis, Tomasz Wiktorski, Erwin Spekschoor

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2017

2016

Enrichment of machine learning based activity classification in smart homes using ensemble learning.

Bikash Agrawal, Antorweep Chakravorty, Tomasz Wiktorski, Chunming Rong

Proceedings of the 9th International Conference on Utility and Cloud Computing, 2016

Adaptive Anomaly Detection in Cloud Using Robust and Scalable Principal Component Analysis.

Bikash Agrawal, Tomasz Wiktorski, Chunming Rong

Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

Quantitative and Qualitative Analysis of Current Data Science Programs from Perspective of Data Science Competence Groups and Framework.

Tomasz Wiktorski, Yuri Demchenko, Adam Belloum, Anoosheh Shirazi

Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

EDISON Data Science Framework: A Foundation for Building Data Science Profession for Research and Industry.

Yuri Demchenko, Adam Belloum, Wouter Los, Tomasz Wiktorski, Andrea Manieri, Holger Brocks, Jana Becker, Dominic Heutelbeck, Matthias L. Hemmje, Steve Brewer

Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

SD-HDFS: Secure Deletion in Hadoop Distributed File System.

Bikash Agrawal, Raymond A. Hansen, Chunming Rong, Tomasz Wiktorski

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015

AFFM: Auto Feature Engineering in Field-Aware Factorization Machines for Predictive Analytics.

Lars Ropeid Selsaas, Bikash Agrawal, Chunming Rong, Tomasz Wiktorski

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Experience with Problem-Based Learning in a Hybrid Classroom.

Tomasz Wiktorski, Thomas J. Hacker, Raymond A. Hansen, Gregory P. Rodgers

Proceedings of the 7th IEEE International Conference on Cloud Computing Technology and Science, 2015

Data Science Professional Uncovered: How the EDISON Project will Contribute to a Widely Accepted Profile for Data Scientists.

Andrea Manieri, Steve Brewer, Ruben Riestra, Yuri Demchenko, Matthias L. Hemmje, Tomasz Wiktorski, Tiziana Ferrari, Jérémy Frey

Proceedings of the 7th IEEE International Conference on Cloud Computing Technology and Science, 2015

Analyzing and Predicting Failure in Hadoop Clusters Using Distributed Hidden Markov Model.

Bikash Agrawal, Tomasz Wiktorski, Chunming Rong

Proceedings of the Cloud Computing and Big Data, 2015