Maxim Borisyak

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Highly Imbalanced

Anomaly Detection

Incomplete Data Sets

Workflow Management

Top Venues

PeerJ Comput. Sci.

J. Mach. Learn. Res.

Comput. Chem. Eng.

Publications

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 (2024)
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 (2024)
Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou
Deep Learning for Fast Inference of Mechanistic Models' Parameters. CoRR (2023)
Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries. CoRR (2023)
Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto Martinez, 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 (2022)
Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach
NFAD: fixing anomaly detection using normalizing flows. PeerJ Comput. Sci. 7 (2021)
Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin
Adaptive divergence for rapid adversarial optimization. PeerJ Comput. Sci. 6 (2020)
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 (2020)
Maxim Borisyak, Nikita Kazeev
Machine Learning on data with sPlot background subtraction. CoRR (2019)
Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach
Normalizing flows for deep anomaly detection. CoRR (2019)
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 (2019)
Maxim Borisyak, Nikita Kazeev
Machine Learning on sWeighted Data. CoRR (2019)
Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin
Adaptive Divergence for Rapid Adversarial Optimization. CoRR (2019)
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 (2017)
Maxim Borisyak, Michail Usvyatsov, Michael Mulhearn, Chase Shimmin, Andrey Ustyuzhanin
Muon Trigger for Mobile Phones. CoRR (2017)
Maxim Borisyak, Fedor Ratnikov, Denis Derkach, Andrey Ustyuzhanin
Towards automation of data quality system for CERN CMS experiment. CoRR (2017)
Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach, Mikhail Belous
Numerical optimization for Artificial Retina Algorithm. CoRR (2017)
Maxim Borisyak, Andrey Ustyuzhanin
A genetic algorithm for autonomous navigation in partially observable domain. CoRR (2015)
Maxim Borisyak, Roman Zykov, Artem Noskov
Application of Kullback-Leibler divergence for short-term user interest detection. CoRR (2015)