Jakub Kuzilek

Orcid: 0000-0002-8656-0599

Affiliations:
  • Humboldt University of Berlin, Department of Computer Science, Germany
  • Czech Technical University in Prague, CIIRC, Czech Republic
  • German Research Centre for Artificial Intelligence (DFKI), Berlin, Germany
  • Open University, Milton Keynes, UK


According to our database1, Jakub Kuzilek authored at least 20 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
First-Year Engineering Students' Strategies for Taking Exams.
Int. J. Artif. Intell. Educ., September, 2023

Investigating students' use of self-assessments in higher education using learning analytics.
J. Comput. Assist. Learn., February, 2023

Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics.
WIREs Data Mining Knowl. Discov., 2023

Pre-selecting Text Snippets to provide formative Feedback in Online Learning.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

2021
Student success prediction using student exam behaviour.
Future Gener. Comput. Syst., 2021

Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020
Exploring exam strategies of successful first year engineering students.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Scaling Mentoring Support with Distributed Artificial Intelligence.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

2019
Analysing Student VLE Behaviour Intensity and Performance.
Proceedings of the Transforming Learning with Meaningful Technologies, 2019

2018
Learning Analytics Dashboard Analysing First-Year Engineering Students.
Proceedings of the Lifelong Technology-Enhanced Learning, 2018

Student Drop-out Modelling Using Virtual Learning Environment Behaviour Data.
Proceedings of the Lifelong Technology-Enhanced Learning, 2018

2016
Data literacy for learning analytics.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

2015
Open University Learning Analytics dataset.
Dataset, December, 2015

2014
Binary social impact theory based optimization and its applications in pattern recognition.
Neurocomputing, 2014

Developing predictive models for early detection of at-risk students on distance learning modules.
Proceedings of the Workshops at the LAK 2014 Conference co-located with 4th International Conference on Learning Analytics and Knowledge (LAK 2014), 2014

Modelling student online behaviour in a virtual learning environment.
Proceedings of the Workshops at the LAK 2014 Conference co-located with 4th International Conference on Learning Analytics and Knowledge (LAK 2014), 2014

Comparison of JADE and Canonical Correlation Analysis for ECG de-noising.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Advanced Signal Processing Techniques for Fetal ECG Analysis.
Proceedings of the Computing in Cardiology, 2013

Beat Detection Enhancing using AdaBoost.
Proceedings of the BIOSIGNALS 2013, 2013

2011
An automatic method for holter ECG denoising using ICA.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011


  Loading...