TY - CHAP AU - Schäffer, László AU - Kincses, Zoltán AU - Pletl, Szilveszter ED - Szakál, Anikó TI - Hyperparameter Optimisation of Reinforcement Learning Algorithms in Webots Simulation Environment T2 - IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI 2023) : Proceedings PB - IEEE CY - Danvers (MA) SN - 9798350342956 T3 - International Symposium on Computational Intelligence and Informatics, CINTI, ISSN 2380-8586 PY - 2023 SP - 000065 EP - 000070 PG - 6 DO - 10.1109/CINTI59972.2023.10382026 UR - https://m2.mtmt.hu/api/publication/34499674 ID - 34499674 LA - English DB - MTMT ER - TY - CHAP AU - Schäffer, László AU - Kincses, Zoltán AU - Pletl, Szilveszter ED - Szakál, Anikó TI - Spike Sorting Parameter Optimisation Framework Using Genetic Algorithm T2 - IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY 2022) PB - IEEE CY - Szabadka SN - 9781665489881 PY - 2022 SP - 000367 EP - 000372 PG - 6 DO - 10.1109/SISY56759.2022.10036288 UR - https://m2.mtmt.hu/api/publication/33655385 ID - 33655385 AB - Action potentials from neurophysiological measurements can be grouped together using spike sorting methods. The main parts of the spike sorting is detection and classification of the neurophysiological activity, which are resource demanding processes. For real-time spike sorting simple and efficient algorithms are required, like the Non-Linear Energy Operator as spike detection and Online Sorting, an unsupervised template-matching algorithm as spike classification. Both have various parameters, which have a critical impact on the results and required to be adjusted to the actual measurement. Finding the optimal parameter set with manual parameter tuning is a time consuming task. In this paper a genetic algorithm based spike sorting parameter optimisation framework is proposed implemented in MATLAB, which automates and accelerates the parameter tuning as well as detects and classifies the neural recordings. The genetic algorithm ensures that the global optimal solution in the actual parameter search space can be found. Using the proposed framework with different widely used simulated datasets it is shown that optimising the parameters on a short interval from the measurement can be as accurate as optimising on the full measurement, while it can reduce the optimisation time significantly. LA - English DB - MTMT ER - TY - BOOK ED - Jász, Judit ED - Bánhelyi, Balázs ED - Gergely, Tamás ED - Katona, Melinda ED - Kincses, Zoltán TI - The 13th Conference of PhD Students in Computer Science. Volume of Short Papers TS - Volume of Short Papers PB - Szegedi Tudományegyetem, Informatikai Intézet C1 - Szeged PY - 2022 SP - 216 UR - https://m2.mtmt.hu/api/publication/32911327 ID - 32911327 AB - This conference is the 13th in a series. The organizers aimed to bring together PhD students working on any field of computer science and its applications to help them publishing one of their first papers, and provide an opportunity to hold a scientific talk. As far as we know, this is one of the few such conferences. The aims of the scientific meeting were determined on the council meeting of the Hungarian PhD Schools in Informatics: it should • provide a forum for PhD students in computer science to discuss their ideas and research results; • give a possibility to have constructive criticism before they present the results at profes- sional conferences; • promote the publication of their results in the form of fully refereed journal articles; and finally, • promote hopefully fruitful research collaboration among the participants. The papers emerging from the presented talks will be invited to be considered for full paper publication the Acta Cybernetica journal. LA - English DB - MTMT ER - TY - JOUR AU - Schäffer, László AU - Nagy, Zoltán AU - Kincses, Zoltán AU - Fiáth, Richárd AU - Ulbert, István TI - Spatial information based OSort for real-time spike sorting using FPGA JF - IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING J2 - IEEE T BIO-MED ENG VL - 68 PY - 2021 IS - 1 SP - 99 EP - 108 PG - 1 SN - 0018-9294 DO - 10.1109/TBME.2020.2996281 UR - https://m2.mtmt.hu/api/publication/31328312 ID - 31328312 N1 - Faculty of Science and Informatics, University of Szeged, Hungary Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, H-1083, Hungary Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Hungary Cited By :1 Export Date: 23 February 2021 CODEN: IEBEA Correspondence Address: Nagy, Z.; Faculty of Information Technology and Bionics, Hungary; email: nagy.zoltan@itk.ppke.hu Funding Agency and Grant Number: Hungarian Brain Research Program [KTIA_13_NAP-A-I/1, KTIA-13-NAP-A-IV/1-4,6, 2017-1.2.1-NKP-2017-00002]; Hungarian National Research, Development and Innovation Office [PD124175]; European UnionEuropean Commission [VEKOP-2.3.2-16-2017-00013]; State of Hungary [VEKOP-2.3.2-16-2017-00013]; European Regional Development FundEuropean Commission [VEKOP-2.3.2-16-2017-00013]; Ministry of Human Capacities, Hungary [20391-3/2018/FEKUSTRAT] Funding text: This work was supported by the Hungarian Brain Research Program under Grants KTIA_13_NAP-A-I/1, KTIA-13-NAP-A-IV/1-4,6 and 2017-1.2.1-NKP-2017-00002. The work of Richard Fiath was supported by Hungarian National Research, Development and Innovation Office (postdoctoral excellence Programme, PD124175, Thematic Excellence Programme 2019). The work of Istvan Ulbert within project No. VEKOP-2.3.2-16-2017-00013 was supported by the European Union and the State of Hungary, co-financed by the European Regional Development Fund. Ministry of Human Capacities, Hungary under Grant 20391-3/2018/FEKUSTRAT is acknowledged. Faculty of Science and Informatics, University of Szeged, Hungary Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, H-1083, Hungary Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Hungary Cited By :1 Export Date: 13 September 2021 CODEN: IEBEA Correspondence Address: Nagy, Z.; Faculty of Information Technology and Bionics, Hungary; email: nagy.zoltan@itk.ppke.hu LA - English DB - MTMT ER - TY - JOUR AU - Kaló, Ádám AU - Kincses, Zoltán AU - Schäffer, László AU - Pletl, Szilveszter TI - Indoor localization simulation framework for optimized sensor placement to increase the position estimation accuracy JF - ANNALES MATHEMATICAE ET INFORMATICAE J2 - ANN MATH INFORM VL - 51 PY - 2020 SP - 29 EP - 39 PG - 11 SN - 1787-5021 DO - 10.33039/ami.2020.07.002 UR - https://m2.mtmt.hu/api/publication/31398789 ID - 31398789 LA - English DB - MTMT ER - TY - CHAP AU - Schäffer, László AU - Pletl, Szilveszter AU - Kincses, Zoltán ED - Szakál, Anikó TI - Spike Detection Using Cross-Correlation Based Method T2 - INES 2019 : IEEE 23nd International Conference on Intelligent Engineering Systems PB - IEEE CY - Budapest SN - 9781728112138 PY - 2019 SP - 000175 EP - 000178 PG - 4 DO - 10.1109/INES46365.2019.9109485 UR - https://m2.mtmt.hu/api/publication/31398828 ID - 31398828 LA - English DB - MTMT ER - TY - JOUR AU - Sarcevic, Péter AU - Kincses, Zoltán AU - Pletl, Szilveszter TI - Online human movement classification using wrist-worn wireless sensors JF - JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING J2 - J AMBIENT INTELL HUMAN COMPUT VL - 10 PY - 2019 IS - 1 SP - 89 EP - 106 PG - 18 SN - 1868-5137 DO - 10.1007/s12652-017-0606-1 UR - https://m2.mtmt.hu/api/publication/3285185 ID - 3285185 LA - English DB - MTMT ER - TY - CHAP AU - Schäffer, László AU - Kincses, Zoltán AU - Pletl, Szilveszter ED - Szakál, Anikó TI - A Real-Time Pose Estimation Algorithm Based on FPGA and Sensor Fusion T2 - 2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY) PB - IEEE Hungary Section CY - Budapest SN - 9781538668429 PY - 2018 SP - 000149 EP - 000154 PG - 5 DO - 10.1109/SISY.2018.8524610 UR - https://m2.mtmt.hu/api/publication/30425628 ID - 30425628 AB - Combining measurements of different sensors are a crucial step to achieve better precision in pose estimation. Sensor fusion is an effective state estimation method (in this case Kalman filter), which is used in several disciplines. Using sensor fusion, the information from the sensors and the characteristics of each sensor can be used together to improve the estimate and decrease the uncertainty of the measured variables. In this paper a real-time pose estimation algorithm using sensor fusion of visual odometry (optical flow), Inertial Measurement Unit (IMU) and Global Positioning System (GPS) measurements is presented. The IMU contains calibrated three degrees of freedom (3Dof) accelerometer and an also 3DoF gyroscope. A Kalman filter is used for the fusion of the measurements of the different sensors. The algorithm is implemented in MATLAB and on a low-cost Z-7010 Field-Programmable Gate Array (FPGA) using the ZYBO development board, which is capable of real-time pose estimation with sensor fusion. LA - English DB - MTMT ER - TY - CHAP AU - Schäffer, László AU - Kincses, Zoltán AU - Pletl, Szilveszter ED - Szakál, Anikó TI - FPGA-based low-cost real-time face recognition T2 - 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) PB - IEEE CY - New York, New York SN - 9781538638545 PY - 2017 SP - 35 EP - 38 PG - 4 DO - 10.1109/SISY.2017.8080568 UR - https://m2.mtmt.hu/api/publication/3317764 ID - 3317764 LA - English DB - MTMT ER - TY - CHAP AU - Sarcevic, Péter AU - Pletl, Szilveszter AU - Kincses, Zoltán TI - Examining the number of required stationary orientations for efficient accelerometer calibration T2 - 4th International Conference and Workshop Mechatronics in Practice and Education – MECHEDU 2017 PB - Subotica Technical College of Applied Sciences CY - Subotica SN - 9788691881528 PY - 2017 SP - 38 EP - 41 PG - 4 UR - https://m2.mtmt.hu/api/publication/3285178 ID - 3285178 LA - English DB - MTMT ER -