Marko Jankovic

14 papers A* 1B 4Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2024 A* conf
Enhanced multifunctional interface for reconfigurability of robotic teams in planetary applications.
ICRA
Mehmed Yüksel, Wiebke Brinkmann, Marko Jankovic, Hilmi Dogu Küçüker, Frank Kirchner
2020 B conf
Punctuation Restoration System for Slovene Language.
RCIS
Marko Bajec, Marko Jankovic, Slavko Zitnik, Iztok Lebar Bajec
2020 J jnl
Space Debris Ontology for ADR Capture Methods Selection.
CoRR
Marko Jankovic, Mehmed Yüksel, Mohammad Mohammadzadeh Babr, Francesca Letizia, Vitali Braun
2019 J jnl
Reconstructing de facto software development methods.
Comput. Sci. Inf. Syst.
Marko Jankovic, Slavko Zitnik, Marko Bajec
2015 — conf
A novel power-line oriented DFT method with error elimination at off-line frequency operation.
TSP
Predrag Ninkovic, Marko Jankovic
2015 B conf
Comparison of software repositories for their usability in software process reconstruction.
RCIS
Marko Jankovic, Marko Bajec
2013 — conf
Cots Products To Trace Method Enactment: Review And Selection.
ECIS
Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi, Marko Bajec, Elena Kornyshova, Marko Jankovic
2013 B conf
Intelligent Agile Method Framework.
ENASE
Marko Jankovic, Marko Bajec, Ghazaleh Khodabandelou, Rébecca Deneckère, Charlotte Hug, Camille Salinesi
2013 B conf
Semi-automatic improvement of software development methods: Doctoral consortium paper.
RCIS
Marko Jankovic
2007 — conf
Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis.
ICONIP (1)
Marko Jankovic, Pablo Martinez, Zhe (Sage) Chen, Andrzej Cichocki
2007 — conf
Sparse Super Symmetric Tensor Factorization.
ICONIP (1)
Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Shun-ichi Amari
2006 J jnl
Modulated Hebb-Oja learning Rule-a method for principal subspace analysis.
IEEE Trans. Neural Networks
Marko Jankovic, Hidemitsu Ogawa
2004 J jnl
Time-oriented hierarchical method for computation of principal components using subspace learning algorithm.
Int. J. Neural Syst.
Marko Jankovic, Hidemitsu Ogawa
2003 J jnl
A New Modulated Hebbian Learning Rule - Biologically Plausible Method for Local Computation of a Principal Subspace.
Int. J. Neural Syst.
Marko Jankovic, Hidemitsu Ogawa