Marko Jankovic

Orcid: 0000-0002-7651-7327

According to our database1, Marko Jankovic authored at least 14 papers between 2003 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Enhanced multifunctional interface for reconfigurability of robotic teams in planetary applications.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2020
Space Debris Ontology for ADR Capture Methods Selection.
CoRR, 2020

Punctuation Restoration System for Slovene Language.
Proceedings of the Research Challenges in Information Science, 2020

2019
Reconstructing de facto software development methods.
Comput. Sci. Inf. Syst., 2019

2015
A novel power-line oriented DFT method with error elimination at off-line frequency operation.
Proceedings of the 38th International Conference on Telecommunications and Signal Processing, 2015

Comparison of software repositories for their usability in software process reconstruction.
Proceedings of the 9th IEEE International Conference on Research Challenges in Information Science, 2015

2013
Semi-automatic improvement of software development methods: Doctoral consortium paper.
Proceedings of the IEEE 7th International Conference on Research Challenges in Information Science, 2013

Intelligent Agile Method Framework.
Proceedings of the ENASE 2013, 2013

Cots Products To Trace Method Enactment: Review And Selection.
Proceedings of the 21st European Conference on Information Systems, 2013

2007
Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Sparse Super Symmetric Tensor Factorization.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Modulated Hebb-Oja learning Rule-a method for principal subspace analysis.
IEEE Trans. Neural Networks, 2006

2004
Time-oriented hierarchical method for computation of principal components using subspace learning algorithm.
Int. J. Neural Syst., 2004

2003
A New Modulated Hebbian Learning Rule - Biologically Plausible Method for Local Computation of a Principal Subspace.
Int. J. Neural Syst., 2003


  Loading...