Generation of Molecular Graphs for QSAR Studies: An Approach Based on Supergraphs. - Andrey Melnikov; Vladimir A. Palyulin; Nikolai S. Zefirov (J. Chem. Inf. Model., 2007)

The Knowledge on the Basis of Fact Analysis in Business Intelligence. - Alexander Vokhmintsev; Andrey Melnikov (NEW PROLAMAT, 2013)

Mining Labor Market Requirements Using Distributional Semantic Models and Deep Learning. - Dmitriy Botov; Julius Klenin; Andrey Melnikov; Yuri Dmitrin; Ivan Nikolaev; Mikhail Vinel (BIS (2), 2019)

Subtensor Quantization for Mobilenets. - Thu Dinh; Andrey Melnikov; Vasilios Daskalopoulos; Sek Chai (ECCV Workshops (5), 2020)

Morphometric Analysis of Groundwater Icings: Intercomparison of Estimation Techniques. - Leonid Gagarin; Qingbai Wu; Andrey Melnikov; Nataliya Volgusheva; Nikita Tananaev; Huijun Jin; Ze Zhang; Vladimir Zhizhin (Remote. Sens., 2020)

Quantization-Guided Training for Compact TinyML Models. - Sedigh Ghamari; Koray Ozcan; Thu Dinh; Andrey Melnikov; Juan Carvajal; Jan Ernst; Sek Chai (CoRR, 2021)

Application of Dynamic Graph CNN* and FICP for Detection and Research Archaeology Sites. - Alexander Vokhmintsev; Olga Khristodulo; Andrey Melnikov; Matvei Romanov (AIST, 2023)

On data reduction for dynamic vector bin packing. - René van Bevern; Andrey Melnikov; Pavel V. Smirnov; Oxana Yu. Tsidulko (Oper. Res. Lett., 2023)