Rethinking Model Driven Development: analysis and opportunities. - Nikola Tankovic; Drazen Vukotic; Mario Zagar (ITI, 2012)

Experiences from building a EUD business portal. - Nikola Tankovic; Tihana Galinac Grbac; Mario Zagar (MIPRO, 2014)

Transforming Vertical Web Applications into Elastic Cloud Applications. - Nikola Tankovic; Tihana Galinac Grbac; Hong Linh Truong 001; Schahram Dustdar (IC2E, 2015)

Analyzing incoming workload in Cloud business services. - Nikola Tankovic; Nikola Bogunovic; Tihana Galinac Grbac; Mario Zagar (SoftCOM, 2015)

ElaClo: A framework for optimizing software application topology in the cloud environment. - Nikola Tankovic; Tihana Galinac Grbac; Mario Zagar (Expert Syst. Appl., 2017)

Optimiranje konfiguracije informacijskoga sustava u oblaku sukladno sporazumu o razini usluge ; Optimizing cloud information system configuration compliant with service level agreement. - Nikola Tankovic (2017)

QoS-Based Elasticity for Service Chains in Distributed Edge Cloud Environments. - Valeria Cardellini; Tihana Galinac Grbac; Matteo Nardelli 001; Nikola Tankovic; Hong Linh Truong 001 (Autonomous Control for a Reliable Internet of Services, 2018)

Automated Decision Modeling with DMN and BPMN: A Model Ensemble Approach. - Srdan Daniel Simic; Nikola Tankovic; Darko Etinger (IHSED, 2019)

Decentralized trustless gossip training of deep neural networks. - Robert Sajina; Nikola Tankovic; Darko Etinger (MIPRO, 2020)

Novel Class Detection in Non-stationary Streaming Environment with a Discriminative Classifier. - Robert Sajina; Nikola Tankovic; Darko Etinger (MIPRO, 2020)

Microservice Performance Degradation Correlation. - Marko Samardzic; Romeo Sajina; Nikola Tankovic; Tihana Galinac Grbac (MIPRO, 2020)

A Review on Generating Random Numbers in Decentralised Environments. - Srdan Daniel Simic; Robert Sajina; Nikola Tankovic; Darko Etinger (MIPRO, 2020)

Run-time interpretation of information system application models in mobile cloud environments. - Nikola Tankovic; Tihana Galinac Grbac (Comput. Sci. Inf. Syst., 2020)

Dew Computing in Industrial Automation: Applying Machine Learning for Process Control. - Mladen Sverko; Nikola Tankovic; Darko Etinger (COMPSAC, 2021)

Low-Power Wireless IoT System for Indoor Environment Real-Time Monitoring and Alerting. - Dalibor Fonovic; Zlatko Sirotic; Nikola Tankovic; Sinisa Sovilj (MIPRO, 2021)

Dew-Based Service Orchestration Model for Systems Spanning Multiple Computing Layers. - Lucian Tin Udovicic; Nikola Tankovic (MIPRO, 2021)

Modeling Complex Software Systems: A Case Study on Sustainable Water Supply Maintenance. - Tihana Galinac Grbac; Dragan Sokolovic; Jurica Kovac; Darko Etinger; Dalibor Fonovic; Dario Kukuljan; Srdan Daniel Simic; Nikola Tankovic (SQAMIA, 2022)

A Method for Extracting BPMN Models from Textual Descriptions Using Natural Language Processing. - Josip Tomo Licardo; Nikola Tankovic; Darko Etinger (CENTERIS/ProjMAN/HCist, 2023)

A survey of end-to-end congestion mechanisms in the field of IoT. - Dalibor Fonovic; Sinisa Sovilj; Nikola Tankovic (MIPRO, 2023)

Review of the Machine Learning Based Methods Applicable for Analysis of Intracellular Calcium Transients Imaging. - Andrej Korenic; Ivan Lorencin; Nikola Tankovic; Pavle R. Andjus; Domagoj Frank (SISY, 2023)

Classification of Visual Perception EEG Signals for a 2D Platformer Game. - Alesandro Zuzic; Robert Sajina; Nikola Tankovic (SISY, 2023)

Peer-to-peer deep learning with non-IID data. - Robert Sajina; Nikola Tankovic; Ivo Ipsic (Expert Syst. Appl., 2023)

Big data BPMN workflow resource optimization in the cloud. - Srdan Daniel Simic; Nikola Tankovic; Darko Etinger (Parallel Comput., 2023)

Preliminary Study on Effects of Object-Relational Mapping on the Efficiency of Monolithic and Distributed Relational Database Systems. - Elvis Staric; Nikola Tankovic (MIPRO, 2024)

Efficient Personalized EEG-Based Action Recognition: Unveiling Minimal Training Requirements. - Robert Sajina; Romeo Sajina; Nikola Tankovic (SISY, 2024)

An Overview of Autonomous Connection Establishment Methods in Peer-to-Peer Deep Learning. - Robert Sajina; Nikola Tankovic; Ivo Ipsic (IEEE Access, 2024)

Multi-task peer-to-peer learning using an encoder-only transformer model. - Robert Sajina; Nikola Tankovic; Ivo Ipsic (Future Gener. Comput. Syst., 2024)

Scalable and Interpretable Contextual Bandits: A Literature Review and Retail Offer Prototype. - Nikola Tankovic; Robert Sajina (CoRR, 2025)