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Gašper Petelin
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Gašper Petelin,
Building D, Floor 1, Room D45a
+386 1 477 3616
gasper.petelin@ijs.si
http://cs.ijs.si/petelin/
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Academic
Research
Publications
Journal articles
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Towards understanding the importance of time-series features in automated algorithm performance prediction
Models for forecasting the traffic flow within the city of Ljubljana
Less is more: Selecting the right benchmarking set of data for time series classification
Multi-objective approaches to ground station scheduling for optimization of communication with satellites
Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem
Conference papers
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DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems
Dynamic Computational Resource Allocation for CFD Simulations Based on Pareto Front Optimization
TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances
On Suitability of the Customized Measuring Device for Electric Motor
Preferred Solutions of the Ground Station Scheduling Problem using NSGA-III with Weighted Reference Points Selection
performViz: A Machine Learning Approach to Visualize and Understand the Performance of Single-objective Optimization Algorithms
Deep Statistics: More Robust Performance Statistics for Single-objective Optimization Benchmarking
On Formulating the Ground Scheduling Problem as a Multi-objective Bilevel Problem
Optimisation platform for remote collaboration of different teams
Evolutionary operators in memetic algorithm for matrix tri-factorization problem
Books & Chapters
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Memetic Algorithm and Evolutionary Operators for Multi-Objective Matrix Tri-Factorization Problem
Projects
Research
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Fleet and traffic management systems for conducting future cooperative mobility
Auto-OPT: Automated selection and configuration of single-objective continuous optimization algorithms
Crossing borders and scales: CFD and High-performance computing
Representation Learning of Landscape Spaces for Explainable Performance of Stochastic Optimization Algorithms
Intelligent Reliability 4.0
Applied
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