Jenni Raitoharju
Jenni Raitoharju
Other namesJenni Pulkkinen
Assistant Professor, University of Jyväskylä
Verified email at
Cited by
Cited by
Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision
JP Queralta, J Taipalmaa, BC Pullinen, VK Sarker, TN Gia, H Tenhunen, ...
IEEE Access 8, 191617-191643, 2020
Deep learning and computer vision will transform entomology
TT Høye, J Ärje, K Bjerge, OLP Hansen, A Iosifidis, F Leese, HMR Mann, ...
Proceedings of the National Academy of Sciences 118 (2), 2021
Multi-dimensional particle swarm optimization in dynamic environments
S Kiranyaz, J Pulkkinen, M Gabbouj
Expert Systems with Applications 38 (3), 2212-2223, 2011
Automatic image‐based identification and biomass estimation of invertebrates
J Ärje, C Melvad, MR Jeppesen, SA Madsen, J Raitoharju, ...
Methods in Ecology and Evolution 11 (8), 922-931, 2020
Personalized long-term ECG classification: A systematic approach
S Kiranyaz, T Ince, J Pulkkinen, M Gabbouj
Expert Systems with Applications 38 (4), 3220-3226, 2011
Subspace support vector data description
F Sohrab, J Raitoharju, M Gabbouj, A Iosifidis
2018 24th International Conference on Pattern Recognition (ICPR), 722-727, 2018
Intel-tau: A color constancy dataset
F Laakom, J Raitoharju, J Nikkanen, A Iosifidis, M Gabbouj
IEEE Access 9, 39560-39567, 2021
Training radial basis function neural networks for classification via class-specific clustering
J Raitoharju, S Kiranyaz, M Gabbouj
IEEE transactions on neural networks and learning systems 27 (12), 2458-2471, 2016
Classification and retrieval on macroinvertebrate image databases
S Kiranyaz, T Ince, J Pulkkinen, M Gabbouj, J Ärje, S Kärkkäinen, ...
Computers in biology and medicine 41 (7), 463-472, 2011
Evaluation of global and local training techniques over feed-forward neural network architecture spaces for computer-aided medical diagnosis
T Ince, S Kiranyaz, J Pulkkinen, M Gabbouj
Expert Systems with Applications 37 (12), 8450-8461, 2010
Bag of color features for color constancy
F Laakom, N Passalis, J Raitoharju, J Nikkanen, A Tefas, A Iosifidis, ...
IEEE Transactions on Image Processing 29, 7722-7734, 2020
Towards Active Vision with UAVs in Marine Search and Rescue: Analyzing Human Detection at Variable Altitudes
L Qingqing, J Taipalmaa, JP Queralta, TN Gia, M Gabbouj, H Tenhunen, ...
2020 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2020
Autosos: Towards multi-uav systems supporting maritime search and rescue with lightweight ai and edge computing
JP Queralta, J Raitoharju, TN Gia, N Passalis, T Westerlund
arXiv preprint arXiv:2005.03409, 2020
Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding
M Yamaç, M Ahishali, N Passalis, J Raitoharju, B Sankur, M Gabbouj
IEEE Transactions on Information Forensics and Security 16, 1014-1028, 2020
Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits
N Passalis, J Raitoharju, A Tefas, M Gabbouj
Pattern Recognition 105, 107346, 2020
Color constancy convolutional autoencoder
F Laakom, J Raitoharju, A Iosifidis, J Nikkanen, M Gabbouj
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1085-1090, 2019
High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation
J Taipalmaa, N Passalis, H Zhang, M Gabbouj, J Raitoharju
2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019
Limited random walk algorithm for big graph data clustering
H Zhang, J Raitoharju, S Kiranyaz, M Gabbouj
Journal of Big Data 3, 1-22, 2016
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
Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates
H Joutsijoki, K Meissner, M Gabbouj, S Kiranyaz, J Raitoharju, J Ärje, ...
Ecological Informatics 20, 1-12, 2014
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