Zvonko Kostanjcar

Orcid: 0000-0002-2519-3115

According to our database1, Zvonko Kostanjcar authored at least 25 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Statistical arbitrage portfolio construction based on preference relations.
Expert Syst. Appl., March, 2024

Deep Reinforcement Learning for Goal-Based Investing Under Regime-Switching.
Proceedings of the Northern Lights Deep Learning Conference, 2024

2023
Churn prediction methods based on mutual customer interdependence.
J. Comput. Sci., March, 2023

Optimal Trend Labeling in Financial Time Series.
IEEE Access, 2023

Imitation Learning for Financial Applications.
Proceedings of the 46th MIPRO ICT and Electronics Convention, 2023

Deep Reinforcement Learning for Robust Goal-Based Wealth Management.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022
Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model.
IEEE Control. Syst. Lett., 2022

Estimating the Block-Diagonal Idiosyncratic Covariance in High-Dimensional Factor Models.
Proceedings of the 30th International Conference on Software, 2022

Analysis of Complex Customer Networks: A Real-World Banking Example.
Proceedings of the 45th Jubilee International Convention on Information, 2022

Effect of labeling algorithms on financial performance metrics.
Proceedings of the 45th Jubilee International Convention on Information, 2022

2021
Addendum: Merćep, A., et al. Deep Neural Networks for Behavioral Credit Rating. Entropy 2021, 23, 27.
Entropy, 2021

Deep Neural Networks for Behavioral Credit Rating.
Entropy, 2021

Market Making With Signals Through Deep Reinforcement Learning.
IEEE Access, 2021

2020
Cluster-Specific Latent Factor Estimation in High-Dimensional Financial Time Series.
IEEE Access, 2020

Estimating the Number of Latent Factors in High-Dimensional Financial Time Series.
Proceedings of the 28th International Conference on Software, 2020

Modeling Agricultural Production Activities Using Weather and Soil Parameters.
Proceedings of the 43rd International Convention on Information, 2020

Adaptive rolling window selection for minimum variance portfolio estimation based on reinforcement learning.
Proceedings of the 43rd International Convention on Information, 2020

Impact of Look-Back Period on Soil Temperature Estimation Using Machine Learning Models.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019
Cluster-Based Shrinkage of Correlation Matrices for Portfolio Optimization.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

2018
Information Feedback in Temporal Networks as a Predictor of Market Crashes.
Complex., 2018

2017
Authentication approach using one-time challenge generation based on user behavior patterns captured in transactional data sets.
Comput. Secur., 2017

2016
Estimating Tipping Points in Feedback-Driven Financial Networks.
IEEE J. Sel. Top. Signal Process., 2016

2014
Modelling the relationship between developed equity markets and emerging equity markets.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013
Emergence of Power-Law and Two-phase Behavior in Financial Market fluctuations.
Adv. Complex Syst., 2013

2010
Online vs. written multiple-choice questions tests: accuracy and usefulness.
Int. J. Intell. Def. Support Syst., 2010


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