| Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, H Hoos, TR Mosmann, R Brinkman, R Gottardo, ... Nature methods 10 (3), 228-238, 2013 | 553 | 2013 |
| Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects E Moradi, A Pepe, C Gaser, H Huttunen, J Tohka, ... Neuroimage 104, 398-412, 2015 | 464 | 2015 |
| Convolutional recurrent neural networks for polyphonic sound event detection E Cakır, G Parascandolo, T Heittola, H Huttunen, T Virtanen IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1291 …, 2017 | 414 | 2017 |
| Recurrent neural networks for polyphonic sound event detection in real life recordings G Parascandolo, H Huttunen, T Virtanen 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 316 | 2016 |
| Polyphonic sound event detection using multi label deep neural networks E Cakir, T Heittola, H Huttunen, T Virtanen 2015 international joint conference on neural networks (IJCNN), 1-7, 2015 | 283 | 2015 |
| Computational framework for simulating fluorescence microscope images with cell populations A Lehmussola, P Ruusuvuori, J Selinummi, H Huttunen, O Yli-Harja IEEE transactions on medical imaging 26 (7), 1010-1016, 2007 | 208 | 2007 |
| Robust detection of periodic time series measured from biological systems M Ahdesmäki, H Lähdesmäki, R Pearson, H Huttunen, O Yli-Harja BMC bioinformatics 6 (1), 1-18, 2005 | 151 | 2005 |
| Recognition of acoustic events using deep neural networks O Gencoglu, T Virtanen, H Huttunen 2014 22nd European signal processing conference (EUSIPCO), 506-510, 2014 | 119 | 2014 |
| The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment F Briggs, Y Huang, R Raich, K Eftaxias, Z Lei, W Cukierski, SF Hadley, ... 2013 IEEE international workshop on machine learning for signal processing …, 2013 | 115 | 2013 |
| Car type recognition with deep neural networks H Huttunen, FS Yancheshmeh, K Chen 2016 IEEE intelligent vehicles symposium (IV), 1115-1120, 2016 | 80 | 2016 |
| Comparison of feature selection techniques in machine learning for anatomical brain MRI in dementia J Tohka, E Moradi, H Huttunen Neuroinformatics 14 (3), 279-296, 2016 | 62 | 2016 |
| Benchmark set of synthetic images for validating cell image analysis algorithms P Ruusuvuori, A Lehmussola, J Selinummi, T Rajala, H Huttunen, ... 2008 16th European Signal Processing Conference, 1-5, 2008 | 50 | 2008 |
| Mind reading with regularized multinomial logistic regression H Huttunen, T Manninen, JP Kauppi, J Tohka Machine vision and applications 24 (6), 1311-1325, 2013 | 40 | 2013 |
| Optimization of soft-morphological filters by genetic algorithms H Huttunen, P Kuosmanen, L Koskinen, JT Astola Image Algebra and Morphological Image Processing V 2300, 13-24, 1994 | 40 | 1994 |
| Clustering benefits in mobile-centric WiFi positioning in multi-floor buildings A Cramariuc, H Huttunen, ES Lohan 2016 International Conference on Localization and GNSS (ICL-GNSS), 1-6, 2016 | 39 | 2016 |
| Alzheimer’s disease neuroimaging I E Moradi, A Pepe, C Gaser, H Huttunen, J Tohka Machine learning framework for early MRI-based Alzheimer’s conversion …, 2015 | 39 | 2015 |
| Identity verification based on vessel matching from fundus images H Oinonen, H Forsvik, P Ruusuvuori, O Yli-Harja, V Voipio, H Huttunen 2010 IEEE International Conference on Image Processing, 4089-4092, 2010 | 36 | 2010 |
| Multi-label vs. combined single-label sound event detection with deep neural networks E Cakir, T Heittola, H Huttunen, T Virtanen 2015 23rd European signal processing conference (EUSIPCO), 2551-2555, 2015 | 35 | 2015 |
| Taming the waves: sine as activation function in deep neural networks G Parascandolo, H Huttunen, T Virtanen | 32 | 2016 |
| Leukemia prediction using sparse logistic regression T Manninen, H Huttunen, P Ruusuvuori, M Nykter PloS one 8 (8), e72932, 2013 | 32 | 2013 |
Yli-HarjaFaculty of BiomedicineVerifierad e-postadress på tuni.fi
