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ORCIDEkaterina Riabchenko
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Journal Articles
- 2018
[j2]Jenni Raitoharju
, Ekaterina Riabchenko, Iftikhar Ahmad, Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, Ville Tirronen, Johanna Ärje, Salme Kärkkäinen, Kristian Meissner:
Benchmark database for fine-grained image classification of benthic macroinvertebrates. Image Vis. Comput. 78: 73-83 (2018)- 2015
- [j1]Ekaterina Riabchenko, Joni-Kristian Kämäräinen:
Generative part-based Gabor object detector. Pattern Recognit. Lett. 68: 1-8 (2015)
Conference and Workshop Papers
- 2016
- [c8]Jenni Raitoharju, Ekaterina Riabchenko, Kristian Meissner, Iftikhar Ahmad, Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz:
Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates. CVAUI@ICPR 2016: 43-48 - [c7]Ekaterina Riabchenko, Kristian Meissner, Iftikhar Ahmad, Alexandros Iosifidis, Ville Tirronen, Moncef Gabbouj, Serkan Kiranyaz:
Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates. ICPR 2016: 2276-2281 - [c6]Ezgi Can Ozan, Ekaterina Riabchenko, Serkan Kiranyaz, Moncef Gabbouj:
An Optimized k-NN Approach for Classification on Imbalanced Datasets with Missing Data. IDA 2016: 387-392 - [c5]Ezgi Can Ozan, Ekaterina Riabchenko, Serkan Kiranyaz, Moncef Gabbouj:
A vector quantization based k-NN approach for large-scale image classification. IPTA 2016: 1-6 - 2015
- [c4]Ekaterina Riabchenko, Ke Chen, Joni-Kristian Kämäräinen:
Progressive Visual Object Detection with Positive Training Examples Only. SCIA 2015: 388-399 - 2014
- [c3]Ekaterina Riabchenko, Joni-Kristian Kämäräinen, Ke Chen:
Learning Generative Models of Object Parts from a Few Positive Examples. ICPR 2014: 2287-2292 - [c2]Ekaterina Riabchenko, Joni-Kristian Kämäräinen, Ke Chen:
Density-Aware Part-Based Object Detection with Positive Examples. ICPR 2014: 2814-2819 - 2013
- [c1]Ekaterina Riabchenko, Jukka Lankinen, Anders Glent Buch, Joni-Kristian Kämäräinen, Norbert Krüger:
Supervised Object Class Colour Normalisation. SCIA 2013: 611-619
Coauthor Index
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