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2020 – today
- 2024
[j9]Maria Ploog
, Tomasz Wiktorski:
The intentions of the designers of digital educational tools in early childhood education. Int. J. Child Comput. Interact. 40: 100653 (2024)- [c21]Jakob Svane, Tomasz Wiktorski, Trygve Eftestøl, Stein Ørn:
Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. CBMS 2024: 27-32 - 2023
- [j8]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: 102100 (2023) - [j7]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): 296-305 (2023) - 2022
- [c20]Felix James Pacis, Sergey Alyaev, Adrian Ambrus, Tomasz Wiktorski:
Transfer Learning Approach to Prediction of Rate of Penetration in Drilling. ICCS (1) 2022: 358-371 - [i1]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 abs/2202.11283 (2022) - 2021
- [j6]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): 2801 (2021) - [c19]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: 1682-1687 - 2020
- [j5]Tomasz Wiktorski, Aleksandra Królak, Karolina Rosinska, Pawel Strumillo, Jerry Chun-Wei Lin:
Visualization of Generic Utility of Sequential Patterns. IEEE Access 8: 78004-78014 (2020) - [j4]Aleksandra Królak, Tomasz Wiktorski, Magnus Friestad Bjørkavoll-Bergseth, Stein Ørn:
Artifact Correction in Short-Term HRV during Strenuous Physical Exercise. Sensors 20(21): 6372 (2020)
2010 – 2019
- 2019
- [b1]Tomasz Wiktorski:
Data-intensive Systems - Principles and Fundamentals using Hadoop and Spark. Advanced Information and Knowledge Processing, Springer 2019, ISBN 978-3-030-04602-6, pp. 1-97 - [j3]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) - [c18]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: 2708-2715 - [c17]Tomasz Wiktorski, Yuri Demchenko, Oleg Chertov:
Data Science Model Curriculum Implementation for Various Types of Big Data Infrastructure Courses. eScience 2019: 541-547 - [c16]Yuri Demchenko, Tomasz Wiktorski, Juan Jose Cuadrado-Gallego, Steve Brewer:
EDISON Data Science Framework (EDSF) Extension to Address Transversal Skills Required by Emerging Industry 4.0 Transformation. eScience 2019: 553-559 - [c15]Tomasz Wiktorski, Jerry Chun-Wei Lin:
Approximate Approach to Finding Generic Utility of Sequential Patterns. ICDM Workshops 2019: 1029-1034 - 2018
- [j2]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): 23-32 (2018) - [c14]Tomasz Wiktorski:
Challenges in Causal Inference from Personal Monitoring Devices. FedCSIS (Position Papers) 2018: 99-102 - [c13]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: 1065-1068 - 2017
- [j1]Bikash Agrawal, Tomasz Wiktorski, Chunming Rong:
Adaptive real-time anomaly detection in cloud infrastructures. Concurr. Comput. Pract. Exp. 29(24) (2017) - [c12]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: 363-368 - [c11]Tomasz Wiktorski, Yuri Demchenko, Adam Belloum:
Model Curricula for Data Science EDISON Data Science Framework. CloudCom 2017: 369-374 - [c10]Dominika Dlugosz, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Aleksandra Królak:
The North Sea Bicycle Race ECG Project: Time-Domain Analysis. FedCSIS 2017: 1353-1356 - 2016
- [c9]Bikash Agrawal, Raymond A. Hansen, Chunming Rong, Tomasz Wiktorski:
SD-HDFS: Secure Deletion in Hadoop Distributed File System. BigData Congress 2016: 181-189 - [c8]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: 620-626 - [c7]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: 633-638 - [c6]Bikash Agrawal, Tomasz Wiktorski, Chunming Rong:
Adaptive Anomaly Detection in Cloud Using Robust and Scalable Principal Component Analysis. ISPDC 2016: 100-106 - [c5]Bikash Agrawal, Antorweep Chakravorty, Tomasz Wiktorski, Chunming Rong:
Enrichment of machine learning based activity classification in smart homes using ensemble learning. UCC 2016: 196-201 - 2015
- [c4]Tomasz Wiktorski, Thomas J. Hacker, Raymond A. Hansen, Gregory P. Rodgers:
Experience with Problem-Based Learning in a Hybrid Classroom. CloudCom 2015: 575-581 - [c3]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: 588-593 - [c2]Bikash Agrawal, Tomasz Wiktorski, Chunming Rong:
Analyzing and Predicting Failure in Hadoop Clusters Using Distributed Hidden Markov Model. CloudCom-Asia 2015: 232-246 - [c1]Lars Ropeid Selsaas, Bikash Agrawal, Chunming Rong, Tomasz Wiktorski:
AFFM: Auto Feature Engineering in Field-Aware Factorization Machines for Predictive Analytics. ICDM Workshops 2015: 1705-1709
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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