@inproceedings{MTMT:34499674,
	title = {Hyperparameter Optimisation of Reinforcement Learning Algorithms in Webots Simulation Environment},
	url = {https://m2.mtmt.hu/api/publication/34499674},
	author = {Schäffer, László and Kincses, Zoltán and Pletl, Szilveszter},
	booktitle = {IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI 2023) : Proceedings},
	doi = {10.1109/CINTI59972.2023.10382026},
	unique-id = {34499674},
	year = {2023},
	pages = {000065-000070},
	orcid-numbers = {Schäffer, László/0000-0001-5204-6084; Kincses, Zoltán/0000-0002-7130-9510; Pletl, Szilveszter/0000-0002-8721-6271}
}

@inproceedings{MTMT:33655385,
	title = {Spike Sorting Parameter Optimisation Framework Using Genetic Algorithm},
	url = {https://m2.mtmt.hu/api/publication/33655385},
	author = {Schäffer, László and Kincses, Zoltán and Pletl, Szilveszter},
	booktitle = {IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY 2022)},
	doi = {10.1109/SISY56759.2022.10036288},
	unique-id = {33655385},
	abstract = {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.},
	year = {2022},
	pages = {000367-000372},
	orcid-numbers = {Schäffer, László/0000-0001-5204-6084; Kincses, Zoltán/0000-0002-7130-9510; Pletl, Szilveszter/0000-0002-8721-6271}
}

@misc{MTMT:32911327,
	title = {The 13th Conference of PhD Students in Computer Science. Volume of Short Papers},
	url = {https://m2.mtmt.hu/api/publication/32911327},
	editor = {Jász, Judit and Bánhelyi, Balázs and Gergely, Tamás and Katona, Melinda and Kincses, Zoltán},
	publisher = {SZTE TTIK Informatikai Intézet},
	unique-id = {32911327},
	abstract = {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.},
	year = {2022},
	orcid-numbers = {Jász, Judit/0000-0001-6176-9401; Bánhelyi, Balázs/0000-0003-4408-9054; Gergely, Tamás/0000-0001-7504-3580; Katona, Melinda/0000-0001-8236-0955; Kincses, Zoltán/0000-0002-7130-9510}
}

@article{MTMT:31328312,
	title = {Spatial information based OSort for real-time spike sorting using FPGA},
	url = {https://m2.mtmt.hu/api/publication/31328312},
	author = {Schäffer, László and Nagy, Zoltán and Kincses, Zoltán and Fiáth, Richárd and Ulbert, István},
	doi = {10.1109/TBME.2020.2996281},
	journal-iso = {IEEE T BIO-MED ENG},
	journal = {IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING},
	volume = {68},
	unique-id = {31328312},
	issn = {0018-9294},
	year = {2021},
	eissn = {1558-2531},
	pages = {99-108},
	orcid-numbers = {Schäffer, László/0000-0001-5204-6084; Nagy, Zoltán/0000-0002-0992-7123; Kincses, Zoltán/0000-0002-7130-9510; Fiáth, Richárd/0000-0001-8732-2691; Ulbert, István/0000-0001-9941-9159}
}

@article{MTMT:31398789,
	title = {Indoor localization simulation framework for optimized sensor placement to increase the position estimation accuracy},
	url = {https://m2.mtmt.hu/api/publication/31398789},
	author = {Kaló, Ádám and Kincses, Zoltán and Schäffer, László and Pletl, Szilveszter},
	doi = {10.33039/ami.2020.07.002},
	journal-iso = {ANN MATH INFORM},
	journal = {ANNALES MATHEMATICAE ET INFORMATICAE},
	volume = {51},
	unique-id = {31398789},
	issn = {1787-5021},
	year = {2020},
	eissn = {1787-6117},
	pages = {29-39},
	orcid-numbers = {Kincses, Zoltán/0000-0002-7130-9510; Schäffer, László/0000-0001-5204-6084}
}

@inproceedings{MTMT:31398828,
	title = {Spike Detection Using Cross-Correlation Based Method},
	url = {https://m2.mtmt.hu/api/publication/31398828},
	author = {Schäffer, László and Pletl, Szilveszter and Kincses, Zoltán},
	booktitle = {INES 2019 : IEEE 23nd International Conference on Intelligent Engineering Systems},
	doi = {10.1109/INES46365.2019.9109485},
	unique-id = {31398828},
	year = {2019},
	pages = {000175-000178},
	orcid-numbers = {Schäffer, László/0000-0001-5204-6084; Kincses, Zoltán/0000-0002-7130-9510}
}

@article{MTMT:3285185,
	title = {Online human movement classification using wrist-worn wireless sensors},
	url = {https://m2.mtmt.hu/api/publication/3285185},
	author = {Sarcevic, Péter and Kincses, Zoltán and Pletl, Szilveszter},
	doi = {10.1007/s12652-017-0606-1},
	journal-iso = {J AMBIENT INTELL HUMAN COMPUT},
	journal = {JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING},
	volume = {10},
	unique-id = {3285185},
	issn = {1868-5137},
	year = {2019},
	eissn = {1868-5145},
	pages = {89-106},
	orcid-numbers = {Sarcevic, Péter/0000-0003-4050-8231; Kincses, Zoltán/0000-0002-7130-9510; Pletl, Szilveszter/0000-0002-8721-6271}
}

@inproceedings{MTMT:30425628,
	title = {A Real-Time Pose Estimation Algorithm Based on FPGA and Sensor Fusion},
	url = {https://m2.mtmt.hu/api/publication/30425628},
	author = {Schäffer, László and Kincses, Zoltán and Pletl, Szilveszter},
	booktitle = {2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)},
	doi = {10.1109/SISY.2018.8524610},
	unique-id = {30425628},
	abstract = {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.},
	year = {2018},
	pages = {000149-000154},
	orcid-numbers = {Schäffer, László/0000-0001-5204-6084; Kincses, Zoltán/0000-0002-7130-9510; Pletl, Szilveszter/0000-0002-8721-6271}
}

@inproceedings{MTMT:3317764,
	title = {FPGA-based low-cost real-time face recognition},
	url = {https://m2.mtmt.hu/api/publication/3317764},
	author = {Schäffer, László and Kincses, Zoltán and Pletl, Szilveszter},
	booktitle = {2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY)},
	doi = {10.1109/SISY.2017.8080568},
	unique-id = {3317764},
	year = {2017},
	pages = {35-38},
	orcid-numbers = {Schäffer, László/0000-0001-5204-6084; Kincses, Zoltán/0000-0002-7130-9510; Pletl, Szilveszter/0000-0002-8721-6271}
}

@inproceedings{MTMT:3285178,
	title = {Examining the number of required stationary orientations for efficient accelerometer calibration},
	url = {https://m2.mtmt.hu/api/publication/3285178},
	author = {Sarcevic, Péter and Pletl, Szilveszter and Kincses, Zoltán},
	booktitle = {4th International Conference and Workshop Mechatronics in Practice and Education – MECHEDU 2017},
	unique-id = {3285178},
	year = {2017},
	pages = {38-41},
	orcid-numbers = {Sarcevic, Péter/0000-0003-4050-8231; Pletl, Szilveszter/0000-0002-8721-6271; Kincses, Zoltán/0000-0002-7130-9510}
}