Nikolay O. Nikitin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
7
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | GECCO | Evolving Multi-Agent Systems with Large Language Models: Surrogate Fitness Limitations and Empirical Insights. | Vadim Akhmerov, Dmitry Gilemkhanov, Jerzy Kaminski, Ivan Dubrovsky, Maria Zaitseva, Dmitrii Kuznechenko, Egor Rozhdestvenskiy, Danil Fedorov, Ilia Revin, Vadim A. Potemkin, Ravil Mussabayev, Alexander Boukhanovsky, Anna V. Kalyuzhnaya, Andrey V. Savchenko, Nikolay O. Nikitin |
| 2025 | DIS | Neuron-Level Architecture Search for Efficient Model Design. | Artem Lunev, Nikolay O. Nikitin |
| 2025 | EMNLP | MADD: Multi-Agent Drug Discovery Orchestra. | Gleb V. Solovev, Alina B. Zhidkovskaya, Anastasia Orlova, Nina Gubina, Anastasia Vepreva, Rodion Golovinskii, Ilya Tonkii, Ivan Dubrovsky, Ivan Gurev, Dmitry Gilemkhanov, Denis Chistiakov, Timur A. Aliev, Ivan Poddiakov, Galina Zubkova, Ekaterina V. Skorb, Vladimir Vinogradov, Alexander Boukhanovsky, Nikolay O. Nikitin, Andrei Dmitrenko, Anna V. Kaluzhnaya, Andrey V. Savchenko |
| 2025 | GECCO | Augmentation of Laser Welding Dataset through a combination of Evolutionary Optimization and Deep Learning. | Gleb V. Solovev, Mikhail Sokolov, Aveen Hussein, Nikolay O. Nikitin |
| 2025 | ICCS | Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting. | Julia Borisova, Andrey Kuznetsov, Gleb V. Solovev, Nikolay O. Nikitin |
| 2025 | ICCS | Rockburst Forecasting Using Composite Modelling for Seismic Sensors Data. | Ilia Revin, Vadim A. Potemkin, Nikolay O. Nikitin |
| 2025 | ICDM | ChemPaperBench: A Multi-Domain Benchmark for Literature-Grounded Chemical Reasoning of LLM-Based Multi-Agent Systems. | Ivan Dubrovsky, Kamil Fatkhiev, Anastasia Vepreva, Anastasia Orlova, Nina Gubina, Dina Shakirova, Rodion Golovinskii, Al Abbass Mohamed, Andrei Dmitrenko, Nikolay O. Nikitin, Anna V. Kalyuzhnaya |
| 2025 | ICDM | ChemCoScientist: LLM-Based Multi-Agent Assistant for Automated Solving of Chemical Tasks Using Data-Driven Tools. | Gleb V. Solovev, Ivan Gurev, Anastasia Vepreva, Ivan Dubrovsky, Alina B. Zhidkovskaya, Kamil Fatkhiev, Elizaveta Lutsenko, Anastasia Orlova, Nina Gubina, Nikolay O. Nikitin, Andrei Dmitrenko, Anna V. Kalyuzhnaya |
| 2025 | IJCNN | Towards importance of periodicity estimation in long-term spatio-temporal data prediction. | Julia Borisova, Nikolay O. Nikitin |
| 2024 | CEC | Lightweight Neural Ensemble Approach for Arctic Sea Ice Forecasting. | Julia Borisova, Nikolay O. Nikitin |
| 2024 | CEC | Evolutionary Automated Machine Learning for Light-Weight Multi-Modal Pipelines. | Andrey Getmanov, Nikolay O. Nikitin |
| 2024 | GECCO | GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects. | Maiia Pinchuk, Grigorii Kirgizov, Lyubov Yamshchikova, Nikolay O. Nikitin, Irina Deeva, Karine Shakhkyan, Ivan I. Borisov, Kirill Zharkov, Anna V. Kalyuzhnaya |
| 2023 | CEC | Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment. | Nikolay O. Nikitin, Sergey Teryoshkin, Valerii Pokrovskii, Sergey Pakulin, Denis A. Nasonov |
| 2022 | CEC | Evolutionary Automated Machine Learning for Multi-Scale Decomposition and Forecasting of Sensor Time Series. | Mikhail Sarafanov, Valerii Pokrovskii, Nikolay O. Nikitin |
| 2022 | CEC | Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks. | Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya |
| 2021 | CEC | Multi-Objective Evolutionary Design of Composite Data-Driven Models. | Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya |
| 2021 | GECCO | Generative design of microfluidic channel geometry using evolutionary approach. | Nikolay O. Nikitin, Alexander Hvatov, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Georgii V. Grigorev, Xiaohao Wang, Xiang Qian |
| 2021 | ICCS | Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks. | Irina Deeva, Anna Bubnova, Petr D. Andriushchenko, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya |
| 2020 | GECCO | Automatic evolutionary learning of composite models with knowledge enrichment. | Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Alexander Boukhanovsky |
| 2019 | GECCO | Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. | Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna V. Kalyuzhnaya, Sergey V. Kovalchuk |
| 2019 | ICCS | Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model. | Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya |
| 2018 | GECCO | Towards management of complex modeling through a hybrid evolutionary identification. | Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina |
| 2018 | ICCS | Precedent-Based Approach for the Identification of Deviant Behavior in Social Media. | Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Nikolay Butakov, Denis A. Nasonov |
| 2018 | ICCS | Evolutionary Ensemble Approach for Behavioral Credit Scoring. | Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Klavdiya Bochenina, Alexander A. Kudryashov, Amir Uteuov, Ivan Derevitskii, Alexander V. Boukhanovsky |