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Tome Eftimov

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TransOpt: Transformer-based Representation Learning for Optimization Problem Classification

Nov 29, 2023
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov

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PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization

Oct 14, 2023
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov

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Comparing Algorithm Selection Approaches on Black-Box Optimization Problems

Jun 30, 2023
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Sašo Džeroski, Tome Eftimov, Carola Doerr

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DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems

Jun 08, 2023
Gjorgjina Cenikj, Gašper Petelin, Carola Doerr, Peter Korošec, Tome Eftimov

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Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances

Jun 01, 2023
Ana Nikolikj, Sašo Džeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korošec, Tome Eftimov

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Assessing the Generalizability of a Performance Predictive Model

May 31, 2023
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korošec, Tome Eftimov

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Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction

May 30, 2023
Ana Nikolikj, Michal Pluháček, Carola Doerr, Peter Korošec, Tome Eftimov

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Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets

Feb 02, 2023
Gordana Ispirova, Tome Eftimov, Barbara Koroušić Seljak

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RF+clust for Leave-One-Problem-Out Performance Prediction

Jan 24, 2023
Ana Nikolikj, Carola Doerr, Tome Eftimov

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Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms

Jan 24, 2023
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr

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