Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls H Behravan, JM Hartikainen, M Tengström, K Pylkäs, R Winqvist, ... Scientific Reports 8, 13149, 2018 | 81 | 2018 |
Factors affecting i-vector based foreign accent recognition: A case study in spoken Finnish H Behravan, V Hautamäki, T Kinnunen Speech Communication 66, 118-129, 2015 | 59 | 2015 |
Gender classification using single frontal image per person: combination of appearance and geometric based features S Mozaffari, H Behravan, R Akbari 20th International Conference on Pattern Recognition (ICPR), 1192-1195, 2010 | 58 | 2010 |
Predicting breast cancer risk using interacting genetic and demographic factors and machine learning H Behravan, JM Hartikainen, M Tengström, VM Kosma, A Mannermaa Scientific reports 10 (1), 11044, 2020 | 56 | 2020 |
i-Vector Modeling of Speech Attributes for Automatic Foreign Accent Recognition H Behravan, V Hautamaki, S Siniscalchi, T Kinnunen, CH Lee IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015 | 41 | 2015 |
Foreign accent detection from spoken Finnish using i-vectors H Behravan, V Hautamäki, T Kinnunen INTERSPEECH, 79-83, 2013 | 36 | 2013 |
Dialect and accent recognition H Behravan University of Eastern Finland, 2012 | 34 | 2012 |
Boosting Universal Speech Attributes Classification with Deep Neural Network for Foreign Accent Characterization V Hautamäki, MS Siniscalchi, H Behravan, VM Salerno, I Kukanov INTERSPEECH 2015, 2015 | 28 | 2015 |
Multi-level dilated residual network for biomedical image segmentation NR Gudhe, H Behravan, M Sudah, H Okuma, R Vanninen, VM Kosma, ... Scientific Reports 11, 14105, 2021 | 27 | 2021 |
Introducing attribute features to foreign accent recognition H Behravan, V Hautamäki, SM Siniscalchi, T Kinnunen, CH Lee ICASSP, 5332 - 5336, 2014 | 16 | 2014 |
Introducing a new multimodal database from twins' biometric traits H Behravan, K Faez 21st Iranian Conference on Electrical Engineering (ICEE), 1-6, 2013 | 15 | 2013 |
Out-of-Set i-Vector Selection for Open-set Language Identification H Behravan, T Kinnunen, V Hautamäki The Speaker and Language Recognition Workshop (Odyssey 2016), 2016 | 12 | 2016 |
Twins facial similarity impact on conventional face recognition systems S Mozaffari, H Behravan 2011 19th Iranian Conference on Electrical Engineering, 1-6, 2011 | 12 | 2011 |
Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning NR Gudhe, H Behravan, M Sudah, H Okuma, R Vanninen, VM Kosma, ... Scientific Reports 12, 12060, 2022 | 8 | 2022 |
Dialect levelling in Finnish: a universal speech attribute approach H Behravan, V Hautamäki, SM Siniscalchi, E Khoury, T Kurki, T Kinnunen, ... INTERSPEECH, 2014 | 7 | 2014 |
Gender classification using single frontal image per person S Muzaffari, H Behravan, R Akbari IEEE International Conference on Pattern Recognition, 1192-1195, 2010 | 6 | 2010 |
Detecting foreign accent in spoken Finnish using i-vectors H Behravan, V Hautamaki, T Kinnunen Interspeech, 2013 | 3 | 2013 |
Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning NR Gudhe, VM Kosma, H Behravan, A Mannermaa BMC Medical Imaging 23 (1), 162, 2023 | 2 | 2023 |
Uusi puhesuomen variaatiota tarkasteleva hanke: Katse kohti prosodisia ilmiöitä T Nieminen, T Kurki, H Kallio, H Behravan Sananjalka (Turku) 56, 186-195, 2014 | 2 | 2014 |
A Multi-view deep evidential learning approach for mammogram density classification NR Gudhe, S Mazen, R Sund, VM Kosma, H Behravan, A Mannermaa IEEE Access, 2024 | | 2024 |