Maxim Borisyak

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2024 J jnl
A workflow management system for reproducible and interoperable high-throughput self-driving experiments.
Comput. Chem. Eng.
Federico Mione, Lucas Kaspersetz, Martin F. Luna, Judit Aizpuru, Randolf Scholz, Maxim Borisyak, Annina Karolin Kemmer, Marie-Therese Schermeyer, Ernesto C. Martínez, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2024 J jnl
Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations.
CoRR
Christoph Lange, Isabel Thiele, Lara Santolin, Sebastian L. Riedel, Maxim Borisyak, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2023 J jnl
Deep Learning for Fast Inference of Mechanistic Models' Parameters.
CoRR
Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2023 J jnl
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries.
CoRR
Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2022 J jnl
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development.
CoRR
Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer
2021 J jnl
NFAD: fixing anomaly detection using normalizing flows.
PeerJ Comput. Sci.
Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach
2020 J jnl
(1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets.
J. Mach. Learn. Res.
Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva
2020 J jnl
Adaptive divergence for rapid adversarial optimization.
PeerJ Comput. Sci.
Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin
2019 J jnl
$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets.
CoRR
Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva
2019 J jnl
Adaptive Divergence for Rapid Adversarial Optimization.
CoRR
Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin
2019 J jnl
Machine Learning on data with sPlot background subtraction.
CoRR
Maxim Borisyak, Nikita Kazeev
2019 J jnl
Machine Learning on sWeighted Data.
CoRR
Maxim Borisyak, Nikita Kazeev
2019 J jnl
Normalizing flows for deep anomaly detection.
CoRR
Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach
2017 J jnl
Deep learning for inferring cause of data anomalies.
CoRR
V. Azzolini, Maxim Borisyak, Gianluca Cerminara, Denis Derkach, Giovanni Franzoni, F. De Guio, O. Koval, Maurizio Pierini, Adrian Alan Pol, Fedor Ratnikov, Filip Siroky, Andrey Ustyuzhanin, Jean-Roch Vlimant
2017 J jnl
Muon Trigger for Mobile Phones.
CoRR
Maxim Borisyak, Michail Usvyatsov, Michael Mulhearn, Chase Shimmin, Andrey Ustyuzhanin
2017 J jnl
Numerical optimization for Artificial Retina Algorithm.
CoRR
Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach, Mikhail Belous
2017 J jnl
Towards automation of data quality system for CERN CMS experiment.
CoRR
Maxim Borisyak, Fedor Ratnikov, Denis Derkach, Andrey Ustyuzhanin
2015 J jnl
A genetic algorithm for autonomous navigation in partially observable domain.
CoRR
Maxim Borisyak, Andrey Ustyuzhanin
2015 J jnl
Application of Kullback-Leibler divergence for short-term user interest detection.
CoRR
Maxim Borisyak, Roman Zykov, Artem Noskov