CodeDJ: Reproducible Queries over Large-Scale Software Repositories. - Petr Maj; Konrad Siek; Alexander Kovalenko; Jan Vitek (ECOOP, 2021)

Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks. - Alexander Kovalenko; Pavel Kordík; Magda Friedjungová (ICANN (2), 2021)

Pureformer: Do We Even Need Attention? - Uladzislau Yorsh; Alexander Kovalenko (CoRR, 2021)

CodeDJ: Reproducible Queries over Large-Scale Software Repositories (Artifact). - Petr Maj; Konrad Siek; Alexander Kovalenko; Jan Vitek (Dagstuhl Artifacts Ser., 2021)

Linear Self-attention Approximation via Trainable Feedforward Kernel. - Uladzislau Yorsh; Alexander Kovalenko (ICANN (3), 2022)

Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data. - Alexander Kovalenko; Vitaliy Pozdnyakov; Ilya Makarov (CoRR, 2022)

Decorelated Weight Initialization by Backpropagation. - Alexander Kovalenko; Pavel Kordík (ICANN (1), 2023)

AI-Based Spatiotemporal Crop Monitoring by Cloud Removal in Satellite Images. - Jirí Pihrt; Petr Simánek; Alexander Kovalenko; Jirí Kvapil; Karel Charvát (FedCSIS, 2024)

Machine Learning Based Tool for Automated Sperm Cell Tracking and Sperm Bundle Detection. - Jakub Horenin; Veronika Magdanz; Islam S. M. Khalil; Anke Klingner; Alexander Kovalenko; Miroslav Cepek (ECML/PKDD (10), 2024)

Overcoming Long Inference Time of Nearest Neighbors Analysis in Regression and Uncertainty Prediction. - Frantisek Koutenský; Petr Simánek; Miroslav Cepek; Alexander Kovalenko (SN Comput. Sci., 2024)