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Tomán Henrietta

Tomán Henrietta

Teljes publikációs lista

2024
1.
Ahmed, A. H., Tomán, H.: Stochastic Fusion Techniques for State Estimation.
Computation. 12 (10), 1-10, (cikkazonosító: 209), 2024.
Folyóirat-mutatók:
Q3 Applied Mathematics (2023)
Q2 Computer Science (miscellaneous) (2023)
Q3 Modeling and Simulation (2023)
Q3 Theoretical Computer Science (2023)
2023
2.
Krásnohorská, V., Grűnwald, T., Tokarčíková, E., Kušnírová, D., Malichová, E., Schwarz, G. M., Heber, M., Breitschwerdt, R., Fischer, K., Tischner, U., Lepik, A., Bachiller, M. C., Sablé, C., Peñaranda, F. F., Germán, R. P., Tomán, H., Papp, I., Kostolný, J., Babic, J., Riismaa, K., Mandaric, K., Lakehal, A. L., Michael, B. L., Bodroginé Zichar, M., Tornery, M., Andreas, N., Márton, P., Mandre, S., Virkus, S., Šalgová, V.: Inclusive Design Thinking Cookbook.
University of Žilina (Project: Application of Inclusive Design Thinking in the Technically-Oriented Subjects at HEI), Zilina, 198 p., 2023.
3.
Tóth, J., Tomán, H., Hajdu, G., Hajdu, A.: Using Noisy Evaluation to Accelerate Parameter Optimization of Medical Image Segmentation Ensembles.
Mathematics. 11 (18), 1-17, (cikkazonosító: 3992), 2023.
Folyóirat-mutatók:
Q2 Computer Science (miscellaneous)
Q2 Engineering (miscellaneous)
Q2 Mathematics (miscellaneous)
2022
4.
Hajdu, A., Terdik, G., Tiba, A., Tomán, H.: A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning.
Mach. Learn. 111, 1551-1595, 2022.
Folyóirat-mutatók:
Q1 Artificial Intelligence
Q1 Software
2021
5.
Bogacsovics, G., Hajdu, A., Lakatos, R., Beregi-Kovács, M., Tiba, A., Tomán, H.: Replacing the SIR epidemic model with a neural network and training it further to increase prediction accuracy.
Ann. Math. Inform. 53, 73-91, 2021.
Folyóirat-mutatók:
Q3 Computer Science (miscellaneous)
Q4 Mathematics (miscellaneous)
2020
6.
Tóth, J., Tomán, H., Hajdu, A.: Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing.
Pattern Recognit. 107, 1-12, 2020.
Folyóirat-mutatók:
D1 Artificial Intelligence
D1 Computer Vision and Pattern Recognition
D1 Signal Processing
D1 Software
2019
7.
Tóth, J., Kapusi, T. P., Harangi, B., Tomán, H., Hajdu, A.: Accelerating the Optimization of a Segmentation Ensemble using Image Pyramids.
In: 11th International Symposium on Image and Signal Processing and Analysis (ISPA 2019). Eds.: S. Lončarić, R. Bregović, M. Carli, M. Subašić, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, USA, 43-48, 2019. ISBN: 9781728131405
8.
Tiba, A., Bartik, Z., Tomán, H., Hajdu, A.: Detecting outlier and poor quality medical images with an ensemble-based deep learning system.
In: 11th International Symposium on Image and Signal Processing and Analysis (ISPA), Ieee-Inst Electrical Electronics Engineers Inc, Piscataway, 99-104, 2019. ISBN: 9781728131405
9.
Tiba, A., Hajdu, A., Terdik, G., Tomán, H.: Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems.
In: Progress in Industrial Mathematics at ECMI 2018. Ed.: István Faragó, Ferenc Izsák, Péter L. Simon, Springer, Cham, 529-534, 2019, (Mathematics in Industry ; 30.)(The European Consortium for Mathematics in Industry ; 30.) ISBN: 9783030275495
2017
10.
Papp, I., Tomán, H., Kunkli, R., Bodroginé Zichar, M.: Digitális technológiák oktatása a fogorvosképzésben.
IME. 16 (2), 27-31, 2017.
2016
11.
Hajdu, A., Tomán, H., Kovács, L., Hajdu, L.: Composing ensembles by stochastic approach under execution time constraint.
In: Proceedings of the 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 2016, IEEE, [Piscataway], 222-227, 2016.
12.
Papp, I., Tomán, H., Kunkli, R., Bodroginé Zichar, M.: Korszerű technológiák megjelenése a fogorvosképzésben.
In: Matematikát, Fizikát és Informatikát Oktatók 40. Országos Konferenciája [elektronikus dokumentum] / Hajnal Éva, Orosz Gábor Tamás, Óbudai Egyetem Alba Regia Műszaki Kar, Székesfehérvár, 245-250, 2016. ISBN: 9786155460821
2015
13.
Papp, I., Tomán, H., Kunkli, R., Bodroginé Zichar, M.: Alkalmazott informatika a fogorvosképzésben.
In: Új alapokon az egészségügyi informatika : A XXVIII. Neumann Kollokvium konferencia-kiadványa, Pannon Egyetem, Veszprém, 2015. november 20-21.. Szerk.: Kósa István, Vassányi István, Neumann János Számítógép-tudományi Társaság, [Budapest], 26-31, 2015. ISBN: 9786155036101
14.
Tóth, J., Tomán, H., Hajdu, A.: Improving the Performance of an Ensemble-Based Exudate Detection System using Stochastic Parameter Optimization.
In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Eds.: Sergio Cerutti, Paolo Bonato, Institute of Electrical and Electronics Engineers (IEEE), Seattle (WA), USA, 5243-5246, 2015.
2014
15.
Papp, I., Tomán, H.: On experiences about teaching computer engineering.
In: Visual Methods in Engineer and Teacher Education in Science : abstracts, [s.n.], [s.l.], 11, 2014.
2013
16.
Hajdu, A., Hajdu, L., Kovács, L., Tomán, H.: Diversity measures for majority voting in the spatial domain.
In: Hybrid Artificial Intelligent Systems : 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings, Springer-Verlag, Berlin Heidelberg, 314-323, 2013, (Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 8073) ISBN: 9783642408458
17.
Hajdu, A., Hajdu, L., Jónás, Á., Kovács, L., Tomán, H.: Generalizing the majority voting scheme to spatially constrained voting.
IEEE Trans. Image Process. 22 (11), 4182-4194, 2013.
Folyóirat-mutatók:
D1 Computer Graphics and Computer-Aided Design
D1 Software
2012
18.
Szeghalmy, S., Tomán, H., Hajdu, A.: Detecting Digital Intersections Using Line Approximation.
In: Proceedings of the 8th International Conference on Applied Informatics (ICAI2010) Vol. 1. / edited by Attila Egri-Nagy, Emőd Kovács, Gergely Kovásznai, Gábor Kusper, Tibor Tómács, Eszterházy Károly Főiskola, Eger, 193-202, 2011. ISBN: 9789639894723
19.
Tomán, H., Kovács, L., Jónás, Á., Hajdu, L., Hajdu, A.: Generalized Weighted Majority Voting with an Application to Algorithms Having Spatial Output.
In: Hybrid Artificial Intelligent Systems. Ed.: Emilio Corchado, Václav Snášel, Ajith Abraham, Michał Woźniak, Manuel Graña, Sung-Bae Cho, Springer-Verlag Berlin Heidelberg, Heidelberg, 56-67, 2012, (Lecture Notes in Computer Science ; 7209) ISBN: 9783642289309
2011
20.
Tomán, H., Kovács, L., Jónás, Á., Hajdu, L., Hajdu, A.: A Generalization of Majority Voting Scheme for Medical Image Detectors.
In: Hybrid Artificial Intelligent Systems : 6th international conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011; proceedings. Eds.: Emilio Corchado, Marek Kurzynski, Michal Wozniak, Springer, Heidelberg [etc.], 189-196, 2011, (Lecture Notes in Computer Science ; 6679.) ISBN: 9783642212215
2010
21.
Tomán, H., Hajdu, A., Szakács, J., Hornyik, D., Csutak, A., Pető, T.: Thickness-based binary morphological improvement of distorted digital line intersections.
In: Proceedings of the Fifth Hungarian Conference on Computer Graphics and Geometry, SZTAKI, Budapest, 133-139, 2010.
2008
22.
Tomán, H., Tornai, R., Bodroginé Zichar, M.: New DTI visualization methods.
In: Proceedings of the 13th International Conference on Geometry and Graphics : August 4-8, 2008, Dresden (Germany) / [közread. ICGG], [ICGG], Dresden, 241-246, 2008.
2007
23.
Tomán, H., Tornai, R., Bodroginé Zichar, M.: Complex fiber visualization.
Ann. Math. Inform. 34, 103-109, 2007.
Folyóirat-mutatók:
Q3 Computer Science (miscellaneous)
Q4 Mathematics (miscellaneous)
2006
24.
Tomán, H.: On n-loops and (n+1)-webs.
In: Proceedings of the 26th Conference on Geometry and Computer Graphics, Nové Mesto na Morave / (ed.) Jihoceska Univerzita v Ceskych Budejovicich, JCMF, Ceské Budejovice, 259-264, 2006.
2005
25.
Tomán, H.: Canonical coordinate systems and exponential maps of n-loop.
Note Mat. 24 (2), 1-7, 2005.
Folyóirat-mutatók:
Q3 Mathematics (miscellaneous)
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