| Generalizing the majority voting scheme to spatially constrained voting A Hajdu, L Hajdu, A Jonas, L Kovacs, H Toman IEEE Transactions on image processing 22 (11), 4182-4194, 2013 | 31 | 2013 |
| Generalized weighted majority voting with an application to algorithms having spatial output H Toman, L Kovacs, A Jonas, L Hajdu, A Hajdu Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS …, 2012 | 23 | 2012 |
| Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing J Tóth, H Tomán, A Hajdu Pattern Recognition 107, 107510, 2020 | 15 | 2020 |
| Diversity measures for majority voting in the spatial domain A Hajdu, L Hajdu, L Kovacs, H Toman Hybrid Artificial Intelligent Systems: 8th International Conference, HAIS …, 2013 | 10 | 2013 |
| A generalization of majority voting scheme for medical image detectors H Toman, L Kovacs, A Jonas, L Hajdu, A Hajdu Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS …, 2011 | 8 | 2011 |
| Detecting outlier and poor quality medical images with an ensemble-based deep learning system A Tiba, Z Bartik, H Toman, A Hajdu 2019 11th International Symposium on Image and Signal Processing and …, 2019 | 6 | 2019 |
| Improving the performance of an ensemble-based exudate detection system using stochastic parameter optimization J Toth, H Toman, A Hajdu 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 5 | 2015 |
| Complex fiber visualization H Tomána, R Tornaib, M Zicharc Annales Mathematicae et Informaticae 34, 103-109, 2007 | 5 | 2007 |
| Composing ensembles by a stochastic approach under execution time constraint A Hajdu, H Tomán, L Kovács, L Hajdu 2016 23rd international conference on pattern recognition (ICPR), 222-227, 2016 | 4 | 2016 |
| Canonical coordinate systems and exponential maps of n-loop H Tomán Note di Matematica 24 (2), 1-7, 2005 | 3 | 2005 |
| Optimizing majority voting based systems under a resource constraint for multiclass problems A Tiba, A Hajdu, G Terdik, H Tomán Progress in Industrial Mathematics at ECMI 2018, 529-534, 2019 | 2 | 2019 |
| Geometric Investigations in Loop Theory and in Image Processing H Tomán | 2 | 2015 |
| A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning A Hajdu, G Terdik, A Tiba, H Tomán Machine Learning, 1-45, 2022 | 1 | 2022 |
| Replacing the SIR epidemic model with a neural network and training it further to increase prediction accuracy G Bogacsovics, A Hajdu, R Lakatos, M Beregi-Kovács, A Tiba, H Tomán Annales Mathematicae et Informaticae 53, 73-91, 2021 | 1 | 2021 |
| Accelerating the Optimization of a Segmentation Ensemble using Image Pyramids J Tóth, TP Kapusi, B Harangi, H Tomán, A Hajdu 2019 11th International Symposium on Image and Signal Processing and …, 2019 | 1 | 2019 |
| Image Noise Reduction via Geometric Multiscale Ridgelet Support Vector Transform and Dictionary Learning...... S Yang, W Min, L Zhao, Z Wang, G Pan, X Zhang, Y Wang, Z Hu, X Zheng, ... IEEE TRANSACTIONS ON IMAGE PROCESSING VOL 22, 0 | 1 | |
| Using Noisy Evaluation to Accelerate Parameter Optimization of Medical Image Segmentation Ensembles J Tóth, H Tomán, G Hajdu, A Hajdu Mathematics 11 (18), 3992, 2023 | | 2023 |
| A stochastic approach to handle knapsack problems in the creation of ensembles A Hajdu, G Terdik, A Tiba, H Toman arXiv preprint arXiv:2004.08101, 2020 | | 2020 |
| Detecting Digital Intersections Using Line Approximation S Szeghalmy, H Tomán, A Hajdu 8 th International Conference on Applied Informatics, 193, 2010 | | 2010 |
| Bináris morfológia alapú módszerek a retina érhálózatának vizsgálatában J Szakács, I Csősz | | |
