| Prostate cancer evolution from multilineage primary to single lineage metastases with implications for liquid biopsy DJ Woodcock, E Riabchenko, S Taavitsainen, M Kankainen, G Gundem, ... Nature communications 11 (1), 5070, 2020 | 64 | 2020 |
| Benchmark database for fine-grained image classification of benthic macroinvertebrates J Raitoharju, E Riabchenko, I Ahmad, A Iosifidis, M Gabbouj, S Kiranyaz, ... Image and Vision Computing 78, 73-83, 2018 | 38 | 2018 |
| Data enrichment in fine-grained classification of aquatic macroinvertebrates J Raitoharju, E Riabchenko, K Meissner, I Ahmad, A Iosifidis, M Gabbouj, ... 2016 ICPR 2nd Workshop on Computer Vision for Analysis of Underwater Imagery …, 2016 | 23 | 2016 |
| An optimized k-nn approach for classification on imbalanced datasets with missing data EC Ozan, E Riabchenko, S Kiranyaz, M Gabbouj Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA …, 2016 | 20 | 2016 |
| Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates E Riabchenko, K Meissner, I Ahmad, A Iosifidis, V Tirronen, M Gabbouj, ... 2016 23rd International Conference on Pattern Recognition (ICPR), 2276-2281, 2016 | 15 | 2016 |
| Density-aware part-based object detection with positive examples E Riabchenko, JK Kämäräinen, K Chen 2014 22nd International Conference on Pattern Recognition, 2814-2819, 2014 | 7 | 2014 |
| Learning generative models of object parts from a few positive examples E Riabchenko, JK Kämäräinen, K Chen 2014 22nd International Conference on Pattern Recognition, 2287-2292, 2014 | 4 | 2014 |
| A vector quantization based k-NN approach for large-scale image classification EC Ozan, E Riabchenko, S Kiranyaz, M Gabbouj 2016 Sixth International Conference on Image Processing Theory, Tools and …, 2016 | 3 | 2016 |
| Generative part-based Gabor object detector E Riabchenko, JK Kämäräinen Pattern Recognition Letters 68, 1-8, 2015 | 2 | 2015 |
| Progressive visual object detection with positive training examples only E Riabchenko, K Chen, JK Kämäräinen Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark …, 2015 | 2 | 2015 |
| Supervised object class colour normalisation E Riabchenko, J Lankinen, AG Buch, JK Kämäräinen, N Krüger Image Analysis: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland …, 2013 | 2 | 2013 |
Joni-Kristian KämäräinenProfessor of Signal Processing, Tampere UniversityПотвърден имейл адрес: tuni.fi