Pathway studio - the analysis and navigation of molecular networks. - Alexander Nikitin; Sergei Egorov; Nikolai Daraselia; Ilya Mazo (Bioinform., 2003)

Extracting human protein interactions from MEDLINE using a full-sentence parser. - Nikolai Daraselia; Anton Yuryev; Sergei Egorov; Svetlana Novichkova; Alexander Nikitin; Ilya Mazo (Bioinform., 2004)

Automatic pathway building in biological association networks. - Anton Yuryev; Zufar Mulyukov; Ekaterina Kotelnikova; Sergei Maslov; Sergei Egorov; Alexander Nikitin; Nikolai Daraselia; Ilya Mazo (BMC Bioinform., 2006)

Phase Locking Below Rate Threshold in Noisy Model Neurons. - Jan A. Freund; Alexander Nikitin; Nigel G. Stocks (Neural Comput., 2010)

Recoverability of band-passed signals from non-zero threshold crossings. - Alexander P. Nikitin; Robert P. Morse; Nigel G. Stocks (EBCCSP, 2017)

Automatic locomotive signalization system modification with weight-based sum codes. - Dmitry Nikitin; Alexander Nikitin; Alexander Manakov; Pavel Popov; Alexey Kotenko (EWDTS, 2017)

Diagnostics and monitoring of railway automation and remote control power supply devices. - Alexey Poroshin; Alexander Nikitin; Vitaly Shatokhin; Alexey Kotenko (EWDTS, 2017)

On the issue of using digital radio communications of the DMR standard to control the train traffic on Russian railways. - Alexander Nikitin; Alexander Manakov; Igor Kushpil; Alexander Kostrominov; Alexander Osminin (EWDTS, 2020)

The Concept of Support for Laser-Based Additive Manufacturing on the Basis of Artificial Intelligence Methods. - Valeriya V. Gribova; Yuriy Kulchin; Alexander Nikitin; Vadim Timchenko (RCAI, 2020)

Injection locking in self-oscillating magnetometers. - Alexander P. Nikitin; Nigel G. Stocks (IEEE Instrum. Meas. Mag., 2020)

Thin and deep Gaussian processes. - Daniel Augusto de Souza; Alexander Nikitin; St John; Magnus Ross; Mauricio A. Álvarez; Marc Peter Deisenroth; João Paulo Pordeus Gomes; Diego Mesquita; César Lincoln C. Mattos (NeurIPS, 2023)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

A Hybrid Model for Analysis of Laser Beam Distortions Using Monte Carlo and Shack-Hartmann Techniques: Numerical Study and Experimental Results. - Ilya Galaktionov; Julia Sheldakova; Alexander Nikitin; Vladimir Toporovsky; Alexis Kudryashov (Algorithms, 2023)

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities. - Alexander Nikitin; Jannik Kossen; Yarin Gal; Pekka Marttinen (NeurIPS, 2024)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. - Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Rubén Ballester; Claudio Battiloro; Guillermo Bernárdez; Tolga Birdal; Aiden Brent; Peter Chin 001; Sergio Escalera; et al. (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)