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Maxim Borisyak
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2020 – today
- 2024
- [j4]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:
A workflow management system for reproducible and interoperable high-throughput self-driving experiments. Comput. Chem. Eng. 187: 108720 (2024) - [i15]Christoph Lange, Isabel Thiele, Lara Santolin, Sebastian L. Riedel, Maxim Borisyak
, Peter Neubauer, Mariano Nicolás Cruz Bournazou:
Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations. CoRR abs/2402.00851 (2024) - 2023
- [i14]Maxim Borisyak
, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou:
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries. CoRR abs/2312.02079 (2023) - [i13]Maxim Borisyak
, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou:
Deep Learning for Fast Inference of Mechanistic Models' Parameters. CoRR abs/2312.03166 (2023) - 2022
- [i12]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:
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development. CoRR abs/2209.01083 (2022) - 2021
- [j3]Artem Ryzhikov, Maxim Borisyak
, Andrey Ustyuzhanin
, Denis Derkach:
NFAD: fixing anomaly detection using normalizing flows. PeerJ Comput. Sci. 7: e757 (2021) - 2020
- [j2]Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva:
(1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. J. Mach. Learn. Res. 21: 72:1-72:22 (2020) - [j1]Maxim Borisyak
, Tatiana Gaintseva, Andrey Ustyuzhanin
:
Adaptive divergence for rapid adversarial optimization. PeerJ Comput. Sci. 6: e274 (2020)
2010 – 2019
- 2019
- [i11]Maxim Borisyak, Nikita Kazeev:
Machine Learning on data with sPlot background subtraction. CoRR abs/1905.11719 (2019) - [i10]Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva:
$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. CoRR abs/1906.06096 (2019) - [i9]Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin:
Adaptive Divergence for Rapid Adversarial Optimization. CoRR abs/1912.00520 (2019) - [i8]Maxim Borisyak, Nikita Kazeev:
Machine Learning on sWeighted Data. CoRR abs/1912.02590 (2019) - [i7]Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach:
Normalizing flows for deep anomaly detection. CoRR abs/1912.09323 (2019) - 2017
- [i6]Maxim Borisyak, Michail Usvyatsov, Michael Mulhearn, Chase Shimmin, Andrey Ustyuzhanin:
Muon Trigger for Mobile Phones. CoRR abs/1709.08605 (2017) - [i5]Maxim Borisyak, Fedor Ratnikov, Denis Derkach, Andrey Ustyuzhanin:
Towards automation of data quality system for CERN CMS experiment. CoRR abs/1709.08607 (2017) - [i4]Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach, Mikhail Belous:
Numerical optimization for Artificial Retina Algorithm. CoRR abs/1709.08610 (2017) - [i3]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:
Deep learning for inferring cause of data anomalies. CoRR abs/1711.07051 (2017) - 2015
- [i2]Maxim Borisyak, Andrey Ustyuzhanin:
A genetic algorithm for autonomous navigation in partially observable domain. CoRR abs/1507.07374 (2015) - [i1]Maxim Borisyak, Roman Zykov, Artem Noskov:
Application of Kullback-Leibler divergence for short-term user interest detection. CoRR abs/1507.07382 (2015)
Coauthor Index
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