User profiles for Biljana Mileva-Boshkoska

Biljana Mileva Boshkoska

Faculty of information studies; Jožef Stefan Institute
Verified email at ijs.si
Cited by 1245

Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions

G Zhao, S Liu, C Lopez, H Lu, S Elgueta, H Chen… - Computers in …, 2019 - Elsevier
Agri-food value chain is an area of significant importance because of providing sustainable,
affordable, safety and sufficient food, feed, fibre and fuel to consumers, it is critical to ensure …

[BOOK][B] Fast electrochemical impedance spectroscopy

The conventional EIS approach utilises a sinusoidal waveform as an excitation signal (ie,
single-sine approach). Despite the simplicity of the excitation and the signal processing step, …

A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains

BM Boshkoska, S Liu, G Zhao, A Fernandez… - Computers in …, 2019 - Elsevier
An agri-food value chain (VC) represents a set of activities aimed at delivering highly valuable
products to the market. Due to the diversity of actors in the agri-food VCs accumulated …

Algebraic topology of multi-brain connectivity networks reveals dissimilarity in functional patterns during spoken communications

B Tadić, M Andjelković, BM Boshkoska, Z Levnajić - PLoS One, 2016 - journals.plos.org
Human behaviour in various circumstances mirrors the corresponding brain connectivity
patterns, which are suitably represented by functional brain networks. While the objective …

[HTML][HTML] Modeling and evaluation of the possibilities of forming a regional industrial symbiosis networks

B Mileva-Boshkoska, B Rončević, ED Uršič - Social Sciences, 2018 - mdpi.com
Industrial symbiosis (IS) is a term used to describe a network of diverse organizations that
make use of different byproducts to improve their ability to achieve common goals, improve …

Chrono initialized LSTM networks with layer normalization

A Tolic, BM Boshkoska, S Skansi - IEEE Access, 2024 - ieeexplore.ieee.org
Recurrent Neural Networks (RNNs), including the distinguished Long Short-Term Memory
Networks (LSTMs), have been shown to be effective in a wide range of sequential data …

Towards a knowledge management framework for crossing knowledge boundaries in agricultural value chain

B Mileva Boshkoska, S Liu, H Chen - Journal of Decision Systems, 2018 - Taylor & Francis
The purpose of the paper is to propose a framework for the development of a decision
support system in order to evaluate the knowledge boundaries in agricultural value chain. …

[HTML][HTML] Survival analysis as semi-supervised multi-target regression for time-to-employment prediction using oblique predictive clustering trees

V Andonovikj, P Boškoski, S Džeroski… - Expert Systems with …, 2024 - Elsevier
We address the problem of estimating the time-to-employment of a jobseeker using survival
analysis and oblique predictive clustering tree. Unlike standard survival analysis, oblique …

A decision support system for Parkinson disease management: expert models for suggesting medication change

…, A Valmarska, B Mileva Boshkoska… - Journal of decision …, 2018 - Taylor & Francis
Parkinson’s disease (PD) is a degenerative disorder of the central nervous system, which
requires a long-term, interdisciplinary disease management. The EU Horizon 2020 project …

Decision support for medication change of Parkinson's disease patients

BM Boshkoska, D Miljković, A Valmarska… - Computer Methods and …, 2020 - Elsevier
Background and Objective Parkinson's disease (PD) is a degenerative disorder of the
central nervous system for which currently there is no cure. Its treatment requires long-term, …