Analyzing and Predicting Failure in Hadoop Clusters Using Distributed Hidden Markov Model. - Bikash Agrawal; Tomasz Wiktorski; Chunming Rong (CloudCom-Asia, 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 (CloudCom, 2015)

Experience with Problem-Based Learning in a Hybrid Classroom. - Tomasz Wiktorski; Thomas J. Hacker; Raymond A. Hansen; Gregory P. Rodgers (CloudCom, 2015)

AFFM: Auto Feature Engineering in Field-Aware Factorization Machines for Predictive Analytics. - Lars Ropeid Selsaas; Bikash Agrawal; Chunming Rong; Tomasz Wiktorski (ICDM Workshops, 2015)

SD-HDFS: Secure Deletion in Hadoop Distributed File System. - Bikash Agrawal; Raymond A. Hansen; Chunming Rong; Tomasz Wiktorski (BigData Congress, 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 (CloudCom, 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 (CloudCom, 2016)

Adaptive Anomaly Detection in Cloud Using Robust and Scalable Principal Component Analysis. - Bikash Agrawal; Tomasz Wiktorski; Chunming Rong (ISPDC, 2016)

Enrichment of machine learning based activity classification in smart homes using ensemble learning. - Bikash Agrawal; Antorweep Chakravorty; Tomasz Wiktorski; Chunming Rong (UCC, 2016)

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 (CloudCom, 2017)

Model Curricula for Data Science EDISON Data Science Framework. - Tomasz Wiktorski; Yuri Demchenko; Adam Belloum (CloudCom, 2017)

Adaptive real-time anomaly detection in cloud infrastructures. - Bikash Agrawal; Tomasz Wiktorski; Chunming Rong (Concurr. Comput. Pract. Exp., 2017)

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 (FedCSIS, 2018)

Challenges in Causal Inference from Personal Monitoring Devices. - Tomasz Wiktorski (FedCSIS (Position Papers), 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)

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 (IEEE BigData, 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 (eScience, 2019)

Data Science Model Curriculum Implementation for Various Types of Big Data Infrastructure Courses. - Tomasz Wiktorski; Yuri Demchenko; Oleg Chertov (eScience, 2019)

Approximate Approach to Finding Generic Utility of Sequential Patterns. - Tomasz Wiktorski; Jerry Chun-Wei Lin (ICDM Workshops, 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)

Data-intensive Systems - Principles and Fundamentals using Hadoop and Spark - Tomasz Wiktorski (Springer, 2019)

Visualization of Generic Utility of Sequential Patterns. - Tomasz Wiktorski; Aleksandra Królak; Karolina Rosinska; Pawel Strumillo; Jerry Chun-Wei Lin (IEEE Access, 2020)

Artifact Correction in Short-Term HRV during Strenuous Physical Exercise. - Aleksandra Królak; Tomasz Wiktorski; Magnus Friestad Bjørkavoll-Bergseth; Stein Ørn (Sensors, 2020)

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 (EDUCON, 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)

Transfer Learning Approach to Prediction of Rate of Penetration in Drilling. - Felix James Pacis; Sergey Alyaev; Adrian Ambrus; Tomasz Wiktorski (ICCS (1), 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)

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)

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., 2023)

Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. - Jakob Svane; Tomasz Wiktorski; Trygve Eftestøl; Stein Ørn (CBMS, 2024)

The intentions of the designers of digital educational tools in early childhood education. - Maria Ploog; Tomasz Wiktorski (Int. J. Child Comput. Interact., 2024)