Luka Grbcic - RankMe

20 papers Journal 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Artificial intelligence driven laser parameter search: Inverse design of photonic surfaces using greedy surrogate-based optimization. Eng. Appl. Artif. Intell. Luka Grbcic, Minok Park, Juliane Mueller, Vassilia Zorba, Wibe Albert de Jong
2025	J	`jnl`	AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems. CoRR Luka Grbcic, Juliane Mueller, Wibe Albert de Jong
2025	J	`jnl`	AutoTandemML: Active learning enhanced tandem neural networks for inverse design problems. Appl. Soft Comput. Luka Grbcic, Juliane Müller, Wibe Albert de Jong
2025	J	`jnl`	Optimizing PyTorch Inference with LLM-Based Multi-Agent Systems. CoRR Kirill Nagaitsev, Luka Grbcic, Samuel Williams, Costin Iancu
2025	J	`jnl`	Randomness as Reference: Benchmark Metric for Optimization in Engineering. CoRR Stefan Ivic, Sinisa Druzeta, Luka Grbcic
2024	J	`jnl`	AI Driven Laser Parameter Search: Inverse Design of Photonic Surfaces using Greedy Surrogate-based Optimization. CoRR Luka Grbcic, Minok Park, Juliane Müller, Vassilia Zorba, Wibe Albert de Jong
2024	J	`jnl`	Efficient inverse design optimization through multi-fidelity simulations, machine learning, and boundary refinement strategies. Eng. Comput. Luka Grbcic, Juliane Müller, Wibe Albert de Jong
2024	J	`jnl`	Inverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing. CoRR Luka Grbcic, Minok Park, Mahmoud Elzouka, Ravi Prasher, Juliane Müller, Costas P. Grigoropoulos, Sean D. Lubner, Vassilia Zorba, Wibe Albert de Jong
2023	J	`jnl`	Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies. CoRR Luka Grbcic, Juliane Müller, Wibe Albert de Jong
2022	J	`jnl`	Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis. Environ. Model. Softw. Luka Grbcic, Sinisa Druzeta, Goran Mausa, Tomislav Lipic, Darija Vukic Lusic, Marta Alvir, Ivana Lucin, Ante Sikirica, Davor Davidovic, Vanja Travas, Daniela Kalafatovic, Kristina Pikelj, Hana Fajkovic, Toni Holjevic, Lado Kranjcevic
2022	J	`jnl`	Machine learning based surrogate models for microchannel heat sink optimization. CoRR Ante Sikirica, Luka Grbcic, Lado Kranjcevic
2022	J	`jnl`	Multi-UAV trajectory planning for 3D visual inspection of complex structures. CoRR Stefan Ivic, Bojan Crnkovic, Luka Grbcic, Lea Matlekovic
2022	J	`jnl`	Predictive modeling of microbiological seawater quality classification in karst region using cascade model. CoRR Ivana Lucin, Sinisa Druzeta, Goran Mausa, Marta Alvir, Luka Grbcic, Darija Vukic Lusic, Ante Sikirica, Lado Kranjcevic
2022	J	`jnl`	Reconstruction and analysis of negatively buoyant jets with interpretable machine learning. CoRR Marta Alvir, Luka Grbcic, Ante Sikirica, Lado Kranjcevic
2021	J	`jnl`	Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis. CoRR Luka Grbcic, Sinisa Druzeta, Goran Mausa, Tomislav Lipic, Darija Vukic Lusic, Marta Alvir, Ivana Lucin, Ante Sikirica, Davor Davidovic, Vanja Travas, Daniela Kalafatovic, Kristina Pikelj, Hana Fajkovic, Toni Holjevic, Lado Kranjcevic
2021	J	`jnl`	Machine Learning and Simulation-Optimization Coupling for Water Distribution Network Contamination Source Detection. Sensors Luka Grbcic, Lado Kranjcevic, Sinisa Druzeta
2021	J	`jnl`	Machine-Learning Classification of a Number of Contaminant Sources in an Urban Water Network. Sensors Ivana Lucin, Luka Grbcic, Zoran Carija, Lado Kranjcevic
2021	—	`—`	Numerical modeling of fluid mixing in pipe networks with machine learning applications: doctoral dissertation ; Rad ne sadrži naslov na drugom jeziku. Luka Grbcic
2020	J	`jnl`	A Machine Learning-based Algorithm for Water Network Contamination Source Localization. Sensors Luka Grbcic, Ivana Lucin, Lado Kranjcevic, Sinisa Druzeta
2019	J	`jnl`	Introducing languid particle dynamics to a selection of PSO variants. CoRR Sinisa Druzeta, Stefan Ivic, Luka Grbcic, Ivana Lucin