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Hamid Behravan
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2020 – today
- 2024
- [j4]Naga Raju Gudhe
, Mazen Sudah, Reijo Sund
A Multi-View Deep Evidential Learning Approach for Mammogram Density Classification. IEEE Access 12: 67889-67909 (2024) - 2022
- [j3]Naga Raju Gudhe, Veli-Matti Kosma, Hamid Behravan, Arto Mannermaa:
Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning. BMC Bioinform. 23(1): 162 (2022)
2010 – 2019
- 2016
- [j2]Hamid Behravan
i-Vector Modeling of Speech Attributes for Automatic Foreign Accent Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 24(1): 29-41 (2016) - [c6]Hamid Behravan, Tomi Kinnunen, Ville Hautamäki
Out-of-Set i-Vector Selection for Open-set Language Identification. Odyssey 2016: 303-310 - 2015
- [j1]Hamid Behravan
Factors affecting i-vector based foreign accent recognition: A case study in spoken Finnish. Speech Commun. 66: 118-129 (2015) - [c5]Ville Hautamäki, Sabato Marco Siniscalchi, Hamid Behravan, Valerio Mario Salerno, Ivan Kukanov:
Boosting universal speech attributes classification with deep neural network for foreign accent characterization. INTERSPEECH 2015: 408-412 - 2014
- [c4]Hamid Behravan
Introducing attribute features to foreign accent recognition. ICASSP 2014: 5332-5336 - [c3]Hamid Behravan, Ville Hautamäki, Sabato Marco Siniscalchi, Elie Khoury, Tommi Kurki, Tomi Kinnunen, Chin-Hui Lee:
Dialect levelling in Finnish: a universal speech attribute approach. INTERSPEECH 2014: 2165-2169 - 2013
- [c2]Hamid Behravan, Ville Hautamäki, Tomi Kinnunen:
Foreign accent detection from spoken Finnish using i-vectors. INTERSPEECH 2013: 79-83 - 2010
- [c1]Saeed Mozaffari, Hamid Behravan
Gender Classification Using Single Frontal Image Per Person: Combination of Appearance and Geometric Based Features. ICPR 2010: 1192-1195
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