RLSS: A Deep Reinforcement Learning Algorithm for Sequential Scene Generation. - Azimkhon Ostonov; Peter Wonka; Dominik L. Michels (WACV, 2022)

Cut-and-Approximate: 3D Shape Reconstruction from Planar Cross-sections with Deep Reinforcement Learning. - Azimkhon Ostonov (CoRR, 2022)

Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-Valued Decisions from Closed Classes. - Azimkhon Ostonov; Mikhail Moshkov (IJCRS, 2023)

Deterministic and Strongly Nondeterministic Decision Trees for Decision Tables from Closed Classes. - Azimkhon Ostonov; Mikhail Moshkov (CoRR, 2023)

Comparison of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-valued Decisions from Closed Classes. - Azimkhon Ostonov; Mikhail Moshkov (CoRR, 2023)

On Complexity of Deterministic and Nondeterministic Decision Trees for Conventional Decision Tables from Closed Classes. - Azimkhon Ostonov; Mikhail Moshkov (Entropy, 2023)

Depth of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-Valued Decisions from Closed Classes. - Azimkhon Ostonov; Mikhail Moshkov (ACIIDS (Companion 1), 2024)

Lower Bounds on Cardinality of Reducts for Decision Tables from Closed Classes. - Azimkhon Ostonov; Mikhail Moshkov (FedCSIS, 2024)

Greedy Algorithm for Construction of Deterministic Decision Trees for Conventional Decision Tables from Closed Classes. - Azimkhon Ostonov; Mikhail Moshkov (IJCRS (1), 2024)

On Complexity of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-Valued Decisions from Closed Classes. - Azimkhon Ostonov; Mikhail Moshkov (IJCRS (1), 2024)

Comparison of Complexity of Regular and Oblivious Decision Trees for Decision Tables from Closed Classes. - Azimkhon Ostonov; Mikhail Moshkov (IJCRS (2), 2024)

Complexity of Deterministic and Strongly Nondeterministic Decision Trees for Decision Tables From Closed Classes. - Azimkhon Ostonov; Mikhail Moshkov (IEEE Access, 2024)

Comparative Analysis of Deterministic and Nondeterministic Decision Trees for Decision Tables from Closed Classes. - Azimkhon Ostonov; Mikhail Moshkov (Entropy, 2024)