Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites. - Thomas Fober; Marco Mernberger; Vitalik Melnikov; Ralph Moritz; Eyke Hüllermeier (LWA, 2009)

Learning to Aggregate Using Uninorms. - Vitalik Melnikov; Eyke Hüllermeier (ECML/PKDD (2), 2016)

On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis. - Vitalik Melnikov; Eyke Hüllermeier (Mach. Learn., 2018)

Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. - Vitalik Melnikov; Eyke Hüllermeier (ACML, 2019)

A Novel Higher-order Weisfeiler-Lehman Graph Convolution. - Clemens Damke; Vitalik Melnikov; Eyke Hüllermeier (ACML, 2020)

Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games. - Sven Peeters; Vitalik Melnikov; Eyke Hüllermeier (IDA, 2021)

Property-Driven Testing of Black-Box Functions. - Arnab Sharma; Vitalik Melnikov; Eyke Hüllermeier; Heike Wehrheim (FormaliSE@ICSE, 2022)

Property-Driven Black-Box Testing of Numeric Functions. - Arnab Sharma; Vitalik Melnikov; Eyke Hüllermeier; Heike Wehrheim (Software Engineering, 2023)