Genetic Programming Bibliography entries for Nikolay O Nikitin
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GP coauthors/coeditors:
Nina Gubina,
Andrei Dmitrenko,
Gleb Solovev,
Lyubov Yamshchikova,
Oleg Petrov,
Ivan Lebedev,
Nikita Serov,
Grigorii Kirgizov,
Vladimir Vinogradov,
Anna V Kalyuzhnaya,
Pavel Vychuzhanin,
Alexander A Hvatov,
Alexander Boukhanovsky,
Mikhail A Maslyaev,
Mikhail Yachmenkov,
Iana S Polonskaia,
Irina V Barabanova,
Ilia Revin,
Ilya R Aliev,
Genetic Programming Articles by Nikolay O Nikitin
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Anna V. Kalyuzhnaya and Nikolay O. Nikitin and Alexander Hvatov and Mikhail Maslyaev and Mikhail Yachmenkov and Alexander Boukhanovsky.
Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning.
Entropy, 23(1) 2021.
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Iana S. Polonskaia and Ilya R. Aliev and Nikolay O. Nikitin.
Automated Evolutionary Design of CNN Classifiers for Object Recognition on Satellite Images.
Procedia Computer Science, 193:210-219, 2021.
10th International Young Scientists Conference in Computational Science, YSC2021, 28 June - 2 July, 2021.
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Nikolay O. Nikitin and Iana S. Polonskaia and Pavel Vychuzhanin and Irina V. Barabanova and Anna V. Kalyuzhnaya.
Structural Evolutionary Learning for Composite Classification Models.
Procedia Computer Science, 178:414-423, 2020.
special issue: 9th International Young Scientists Conference in Computational Science, YSC2020, 05-12 September 2020.
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Genetic Programming conference papers by Nikolay O Nikitin
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Nina Gubina and Andrei Dmitrenko and Gleb Solovev and Lyubov Yamshchikova and Oleg Petrov and Ivan Lebedev and Nikita Serov and Grigorii Kirgizov and Nikolay Nikitin and Vladimir Vinogradov.
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability. In
A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang editors,
NeurIPS 2024, volume 37, pages 84606-84644, Vancouver, 2024. Curran Associates, Inc..
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Anna V. Kalyuzhnaya and Nikolay O. Nikitin and Pavel Vychuzhanin and Alexander Hvatov and Alexander Boukhanovsky.
Automatic Evolutionary Learning of Composite Models with Knowledge Enrichment. In
Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors,
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 43-44, internet, 2020. Association for Computing Machinery.
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Genetic Programming other entries for Nikolay O Nikitin