Author

Maria Shtark

Institution: ITMO University

Observed institution: ITMO University

ORCID: 0009-0003-4856-4454

Observed ORCID: 0009-0003-4856-4454

OpenAlex ID: A5109497263

SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis

2025 · Petr Ivanov, Maria Shtark, et al. · IEEE Access · 7

Determining of Person’s Character Type by Convolutional Neural Network (using the Mmpi Methodology)

2023 · Andrey Polozov, Maria Shtark, et al. · Models systems networks in economics technology nature and society · 2

Demo Abstract: An Interactive Framework for Interpretable Fault Diagnosis with Graph Neural Networks

2026 · Alexander Kozhevnikov, Maria Shtark, et al. · ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems - Posters and Demos (SenSys-Adjunct)

Poster Abstract: Exploring the Autoencoder Sequence Pooling

2025 · Petr Ivanov, Alexander Kozhevnikov, et al. · ACM Conference on Embedded Networked Sensor Systems (SenSys)

Poster Abstract: Minimizing Labeling Efforts for Fault Detection and Diagnosis

2025 · Maria Shtark, Alexander Kozhevnikov, et al. · ACM Conference on Embedded Networked Sensor Systems (SenSys)

Works count: 5

Citation count: 9

H-index: 2

I10-index: