Heikki Huttunen
Heikki Huttunen
Visy Oy
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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
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
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
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
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
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
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
Recognition of acoustic events using deep neural networks
O Gencoglu, T Virtanen, H Huttunen
2014 22nd European signal processing conference (EUSIPCO), 506-510, 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
Car type recognition with deep neural networks
H Huttunen, FS Yancheshmeh, K Chen
2016 IEEE intelligent vehicles symposium (IV), 1115-1120, 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
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
Mind reading with regularized multinomial logistic regression
H Huttunen, T Manninen, JP Kauppi, J Tohka
Machine vision and applications 24 (6), 1311-1325, 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
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
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
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
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
Taming the waves: sine as activation function in deep neural networks
G Parascandolo, H Huttunen, T Virtanen
Leukemia prediction using sparse logistic regression
T Manninen, H Huttunen, P Ruusuvuori, M Nykter
PloS one 8 (8), e72932, 2013
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Artiklar 1–20