Jovan Tanevski
Jovan Tanevski
Jožef Stefan Institute, Ljubljana, Slovenia; Heidelberg University, Heidelberg, Germany
Verified email at - Homepage
TitleCited byYear
Learning stochastic process-based models of dynamical systems from knowledge and data
J Tanevski, L Todorovski, S Džeroski
BMC systems biology 10 (1), 30, 2016
Decoupling approximation robustly reconstructs directed dynamical networks
N Simidjievski, J Tanevski, B Ženko, Z Levnajić, L Todorovski, S Džeroski
New Journal of Physics 20 (11), 113003, 2018
Process-based modeling and design of dynamical systems
J Tanevski, N Simidjievski, L Todorovski, S Džeroski
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
Process-based design of dynamical biological systems
J Tanevski, L Todorovski, S Džeroski
Scientific reports 6, 34107, 2016
Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis
J Tanevski, L Todorovski, Y Kalaidzidis, S Dzeroski
BMC Systems Biology 9 (31), 2015
General meta-model framework for surrogate-based numerical optimization
Ž Lukšič, J Tanevski, S Džeroski, L Todorovski
International Conference on Discovery Science, 51-66, 2017
A machine-learning model for quantitative characterization of human skin using photothermal radiometry and diffuse reflectance spectroscopy
N Verdel, J Tanevski, S Džeroski, B Majaron
Photonics in Dermatology and Plastic Surgery 2019 10851, 1085107, 2019
Combinatorial search for selecting the structure of models of dynamical systems with equation discovery
J Tanevski, L Todorovski, S Džeroski
Engineering Applications of Artificial Intelligence 89, 103423, 2020
Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis
J Tanevski, L Todorovski, Y Kalaidzidis, S Džeroski
Discovery Science, 265-280, 2013
Biocircuit Design with Equation Discovery
J Tanevski, N Simidjievski, S Džeroski
Learning and Discovery in Symbolic Systems Biology, 2, 2012
Approximate Bayesian parameter inference for dynamical systems in systems biology
J Tanevski, S Džeroski, L Kocarev
Prilozi. Oddelenie za matematičko-tehnički nauki / Makedonska akademija na …, 2010
Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data
CH Holland, J Tanevski, J Perales-Patón, J Gleixner, MP Kumar, E Mereu, ...
Genome Biology 21 (1), 36, 2020
Multi-level information fusion for learning a blood pressure predictive model using sensor data
M Simjanoska, S Kochev, J Tanevski, AM Bogdanova, G Papa, T Eftimov
Information Fusion 58, 24-39, 2020
Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems
Ž Lukšič, J Tanevski, S Džeroski, L Todorovski
IEEE Access 7, 181829 - 181841, 2019
Hybrid technique for characterization of human skin using a combined machine learning and inverse Monte Carlo approach
N Verdel, J Tanevski, S Džeroski, B Majaron
Novel Biophotonics Techniques and Applications V 11075, 110751K, 2019
Predicting cellular position in the Drosophila embryo from Single-Cell Transcriptomics data
J Tanevski, T Nguyen, B Truong, N Karaiskos, ME Ahsen, X Zhang, C Shu, ...
bioRxiv, 796029, 2019
Deterministic and Stochastic Process-based Modeling and Design of Dynamic Systems in Biology: Doctoral Dissertation
J Tanevski
J. Tanevski, 2016
The influence of interpolation on the structural querying of proteins using wavelets
J Tanevski
ICT Innovations 2011, Web Proceedings ISSN 1857-7288, 13, 2012
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