Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning. - Stefan Kalabakov; Simon Stankoski; Nina Resçiç; Ivana Kiprijanovska; Andrejaana Andova; Clément Picard; Vito Janko; Martin Gjoreski; Mitja Lustrek (UbiComp/ISWC Adjunct, 2020)

Sampling Strategies for Exploratory Landscape Analysis of Bi-Objective Problems. - Pavel Krömer; Vojtech Uher; Andrejaana Andova; Tea Tusar; Bogdan Filipic (CSCI, 2022)

What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges. - Stefan Kalabakov; Simon Stankoski; Ivana Kiprijanovska; Andrejaana Andova; Nina Resçiç; Vito Janko; Martin Gjoreski; Matjaz Gams; Mitja Lustrek (Sensors, 2022)

Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes. - Andrejaana Andova; Tobias Benecke; Harald Ludwig; Tea Tusar (EvoApplications@EvoStar, 2023)

Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack. - Andrejaana Andova; Jordan N. Cork; Aljosa Vodopija; Tea Tusar; Bogdan Filipic (EvoApplications@EvoStar, 2024)

Enhancing Algorithm Performance Prediction in Constrained Multiobjective Optimization Using Additional Training Problems. - Andrejaana Andova; Jordan N. Cork; Tea Tusar; Bogdan Filipic (GECCO, 2024)