Kovács László

1.

Pándy, Á., Kovács, L., Kovács, Á., Hajdu, A.: Steering Angle Prediction From a Camera Image as a Backup Service.
IEEE Sens. Lett. 7 (11), 1-4, 2023.

doi DEA WoS Scopus

Journal metrics:

Q2 Electrical and Electronic Engineering

Q2 Instrumentation

2.

Vágner, M., Palkovics, D., Kovács, L.: 3D Localization and Data Quality Estimation with Marvelmind.
In: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS). Ed.: Fazekas István, IEEE, Piscataway, 302-307, 2022. ISBN: 9781665496537

doi DEA Scopus

3.

Kapusi, T. P., Kovács, L., Hajdu, A.: Deep learning-based anomaly detection for imaging in autonomous vehicles.
In: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS): Proceedings (2022.05.16-18.)(Debrecen). Szerk.: Fazekas István, IEEE, Piscataway (NJ), 142-147, 2022. ISBN: 9781665496520

doi DEA Scopus

4.

Pándy, Á., Kun, D. G., Kovács, L., Vasváry, G., Pánti, Z., Hajdu, A.: Image sensor based steering signal for a digital actuator system.
In: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) / Fazekas István, IEEE, Piscataway, 229-234, 2022. ISBN: 9781665496537

doi DEA Scopus

5.

Kovács, L., Baranyai, D., Girászi, T., Majoros, T., Kovács, Á., Vágner, M., Palkovics, D., Bérczes, T.: Sensor design and integration into small sized autonomous vehicle.
In: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS). Ed.: Fazekas István, IEEE, Piscataway, 171-176, 2022. ISBN: 9781665496537

doi DEA Scopus

6.

Szilágyi, S., Kovács, L.: Testing MPT-GRE Multipath Solution in Vehicular Network V2I Communication.
In: Proceedings of the 2nd Conference on Information Technology and Data Science (CITDS2022) / org. by University of Debrecen, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Piscataway, 1-4, 2022. ISBN: 9781665496537

DEA Scopus

7.

Harangi, B., Tóth, J., Bogacsovics, G., Kupás, D., Kovács, L., Hajdu, A.: Cell detection on digitized Pap smear images using ensemble of conventional image processing and deep learning techniques.
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, 38-42, 2019. ISBN: 9781728131405

doi DEA

8.

Antal, B., Tavares, M. K. G. S., Kovács, L., Harangi, B., Lázár, I., Nagy, B., Kovács, G., Szakács, J., Tóth, J., Pető, T., Csutak, A., Hajdu, A.: Data analysis applied to diabetic retinopathy screening: performance evaluation.
Ann. Math. Inform. 49, 3-9, 2018.

doi DEA WoS Scopus

Journal metrics:

Q3 Computer Science (miscellaneous)

Q4 Mathematics (miscellaneous)

9.

Kovács, L., Kovács, R., Hajdu, A.: High Performance Computing in Medical Image Analysis HuSSaR.

DEA

10.

Kovács, L., Hajdu, A., Harangi, B., Sós, A.: Hybrid Small Size hpcResource - HuSSaR [mintaotalom].

DEA

11.

Antal, B., Tavares, M. K. G. S., Kovács, L., Harangi, B., Pető, T., Csutak, A., Hajdu, A.: Data Analysis Applied to Diabetic Retinopathy Screening: Performance Evaluation.
Eur. J. Ophthalmol. 27 (3), E124-E125, 2017.

doi DEA

12.

Kovács, L.: Hybrid Small Size hpcResource.
In: GPU Day 2017 - The Future of Many-Core Computing in Science : absztrakt kötet, [s.n.], Budapest, 1, 2017.

DEA

13.

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.

doi DEA

14.

Kovács, L., Petr, S., Riha, L.: HPC GPU/CPU társkártyákkal támogatott fotorealisztikus 3D CT vizualizáció.
In: VIII. Magyar Számítógépes Grafika és Geometria Konferencia. Szerk.: Szirmay-Kalos László, Renner Gábor, Neumann János Számítógép-tudományi Társaság, Budapest, 175-180, 2016. ISBN: 9786155036118

DEA

15.

Kovács, L.: Photorealistic 3D CT visualization supported by HPC GPU and CPU coprocessors.
In: GPU Day 2016 - The Future of Many-Core Computing in Science : absztrakt kötet, [s.n.], Budapest, 8, 2016.

DEA

16.

Kovács, L.: 3D Visualisation from CT.
In: PRACE Summer of HPC Final Report. Ed.: Leon Kos, PRACE SoHPC, [s.l.], 43-45, 2015.

DEA

17.

Kovács, L., Pintér, Á.: Stirling számok vizsgálata HPC környezetben.
In: Tavaszi Szél - Spring Wind 2015 : Absztraktkötet. Szerk.: Keresztes Gábor, Publio Kiadó, Budapest, 302-303, 2015.

DEA

18.

Kovács, L., Pintér, Á.: Stirling számok vizsgálata HPC környezetben.
In: Tavaszi Szél - Spring Wind III. Konferenciakötet. Szerk.: Keresztes Gábor, Líceum Kiadó ; Budapest : Doktoranduszok Országos Szövetsége, Eger, 181-187, 2015. ISBN: 9786155509964

doi DEA

19.

Tóth, J., Kovács, L., Harangi, B., Kiss, C., Mohácsi, A. I., Orosz, Z., Hajdu, A.: An Online Benchmark System for Image Processing Algorithms.
In: 5th IEEE International Conference on Cognitive Infocommunications. Ed.: Baranyi Péter, CogInfoCom, Vietri sul Mare, Italy, 377-385, 2014. ISBN: 9781479972807

doi DEA

20.

Tóth, J., Kovács, L., Harangi, B., Kiss, C., Mohácsi, A. I., Orosz, Z., Hajdu, A.: An Online System for Algorithm Benchmarking.
In: 5th IEEE International Conference on Cognitive Infocommunications. Ed.: Baranyi Péter, CogInfoCom, Vietri sul Mare, Italy, 383, 2014. ISBN: 9781479972807

doi DEA

21.

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

doi DEA

22.

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.

doi DEA WoS Scopus

Journal metrics:

D1 Computer Graphics and Computer-Aided Design

D1 Software

23.

Kovács, L., Hajdu, L.: High Performance Computing With Mathematical Applications.
In: WSPS 2013.: 1st Winter School of PhD Students in Informatics and Mathematics, Tradeorg Nyomdaipari és Kereskedelmi Kft, Balatonalmádi, 13, 2013. ISBN: 9789638800121

DEA

24.

Qureshi, R. J., Kovács, L., Harangi, B., Nagy, B., Pető, T., Hajdu, A.: Combining algorithms for automatic detection of optic disc and macula in fundus images.
Comput. vis. image underst. 116 (1), 138-145, 2012.

doi DEA

Journal metrics:

Q1 Computer Vision and Pattern Recognition

Q2 Signal Processing

Q2 Software

25.

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

doi DEA

Publication list