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Mohammad Adiban
Mohammad Adiban
PhD Candidate at NTNU, Senior Data Scientist at Bluware
Zweryfikowany adres z ntnu.no
Tytuł
Cytowane przez
Cytowane przez
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Replay Spoofing Countermeasure Using Autoencoder and Siamese Network on ASVspoof 2019 Challenge
M Adiban, H Sameti, S Shehnepoor
Computer Speech & Language 64, 101105, 2020
222020
SUT System Description for Anti-spoofing 2017 Challenge
M Adiban, H Sameti, N Maghsoodi, S Shahsavari
Proceedings of the 29th Conference on Computational Linguistics and Speech …, 2018
182018
STEP-GAN: A one-class anomaly detection model with applications to power system security
M Adiban, A Safari, G Salvi
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
15*2021
Statistical Feature Embedding for Heart Sound Classification
M Adiban, B BabaAli, S Shehnepoor
ELECTRICAL ENGINEERING 70 (4), 259–272, 2019
10*2019
A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurity
M Adiban, SM Siniscalchi, G Salvi
Neurocomputing 537, 296-308, 2023
72023
Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation
M Adiban, K Stefanov, SM Siniscalchi, G Salvi
The 33rd British Machine Vision Conference (BMVC 2022), 2022
32022
Spatial bias in vision-based voice activity detection
K Stefanov, M Adiban, G Salvi
2020 25th International Conference on Pattern Recognition (ICPR), 10433-10440, 2021
22021
S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction
M Adiban, K Stefanov, SM Siniscalchi, G Salvi
arXiv preprint arXiv:2307.06701, 2023
12023
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