Thashmee Karunaratne

According to our database, Thashmee Karunaratne authored at least 13 papers between 2006 and 2024.

Collaborative distances:

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

2024

Where Is the Teacher in Data Analytics in Education?: Evaluating the Maturity of Analytics Solutions and Frameworks Supporting Teachers.

Ngoc Buu Cat Nguyen, Thashmee Karunaratne

Int. J. Emerg. Technol. Learn., 2024

Holistic understanding of digital transformation of health care system as a point-of-departure for system requirements specification (short paper).

Thashmee Karunaratne, Workneh Ayele, Aron Larsson, Luigi Assom, Gisele Züniga

Proceedings of Ongoing Research, 2024

2021

Yes! I Want My Non-Cognitive Skills to Be Improved: Perceptions on an ICT-Enabled Learning Journey.

Maria Petritsopoulou, Thashmee Karunaratne, Myrsini Glinos

Int. J. Emerg. Technol. Learn., 2021

2020

Effect of Inadequate Self-Organized Teams in Agile Project Management: A Case Study From the Oil and Gas Industry.

Sindre Gjøystdal, Thashmee Karunaratne

Int. J. Inf. Technol. Proj. Manag., 2020

Learning Analytics for Blended Learning: A Systematic Review of Theory, Methodology, and Ethical Considerations.

Nina Bergdahl, Jalal Nouri, Thashmee Karunaratne, Muhammad Afzaal, Mohammed Saqr

Int. J. Learn. Anal. Artif. Intell. Educ., 2020

2019

Experiences from Digital Learning Analytics in Finland and Sweden: A Collaborative Approach.

Mikko Apiola, Thashmee Karunaratne, Erkki Kaila, Mikko-Jussi Laakso

Proceedings of the 42nd International Convention on Information and Communication Technology, 2019

2014

Learning predictive models from graph data using pattern mining.

Thashmee Karunaratne

PhD thesis, 2014

2013

Comparative analysis of the use of chemoinformatics-based and substructure-based descriptors for quantitative structure-activity relationship (QSAR) modeling.

Thashmee Karunaratne, Henrik Boström, Ulf Norinder

Intell. Data Anal., 2013

2012

Can Frequent Itemset Mining Be Efficiently and Effectively Used for Learning from Graph Data?

Thashmee Karunaratne, Henrik Boström

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2010

Pre-Processing Structured Data for Standard Machine Learning Algorithms by Supervised Graph Propositionalization - A Case Study with Medicinal Chemistry Datasets.

Thashmee Karunaratne, Henrik Boström, Ulf Norinder

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Graph Propositionalization for Random Forests.

Thashmee Karunaratne, Henrik Boström

Proceedings of the International Conference on Machine Learning and Applications, 2009

2007

Using Background Knowledge for Graph Based Learning: A Case Study in Chemoinformatics.

Thashmee Karunaratne, Henrik Boström

Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

2006

Learning to classify structured data by graph propositionalization.

Thashmee Karunaratne, Henrik Boström

Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006