Zangir Iklassov

According to our database, Zangir Iklassov authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Decade of Deep Learning: A Survey on The Magnificent Seven.

Dilshod Azizov, Muhammad Arslan Manzoor, Velibor Bojkovic, Yingxu Wang, Zixiao Wang, Zangir Iklassov, Kailong Zhao, Liang Li, Siwei Liu, Yu Zhong, Wei Liu, Shangsong Liang

CoRR, 2024

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows.

Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác

CoRR, 2024

Self-Guiding Exploration for Combinatorial Problems.

Zangir Iklassov, Yali Du, Farkhad Akimov, Martin Takác

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands.

Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác

IEEE Access, 2023

On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling.

Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, Martin Takác

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem.

Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Learning to generalize Dispatching rules on the Job Shop Scheduling.

Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal, Martin Takác

CoRR, 2022

AI for Porosity and Permeability Prediction from Geologic Core X-Ray Micro-Tomography.

Zangir Iklassov, Dmitrii Medvedev, Otabek Nazarov

CoRR, 2022

Robust Reinforcement Learning on Graphs for Logistics optimization.

Zangir Iklassov, Dmitrii Medvedev

CoRR, 2022

2019

Analytics of Heterogeneous Breast Cancer Data Using Neuroevolution.

Beibit Abdikenov, Zangir Iklassov, Askhat Sharipov, Shahid Hussain, Prashant Kumar Jamwal

IEEE Access, 2019