@article{MTMT:34159345,
	title = {BlinkLinMulT: Transformer-Based Eye Blink Detection},
	url = {https://m2.mtmt.hu/api/publication/34159345},
	author = {Fodor, Ádám and Fenech, Kristian and Lőrincz, András},
	journal-iso = {J IMAGING},
	journal = {JOURNAL OF IMAGING},
	volume = {9},
	unique-id = {34159345},
	issn = {2313-433X},
	year = {2023},
	orcid-numbers = {Fenech, Kristian/0000-0002-8288-9303; Lőrincz, András/0000-0002-1280-3447}
}

@misc{MTMT:33272087,
	title = {Perceived personality state estimation in dyadic and small group interaction with deep learning methods},
	url = {https://m2.mtmt.hu/api/publication/33272087},
	author = {Fenech, Kristian and Fodor, Ádám and Bergeron, Sean Paul and Saboundji, Rachid Rhyad and Oertel, Catharine and Lőrincz, András},
	volume = {abs/2211.04979},
	unique-id = {33272087},
	year = {2022},
	orcid-numbers = {Fenech, Kristian/0000-0002-8288-9303; Lőrincz, András/0000-0002-1280-3447}
}

@article{MTMT:32789790,
	title = {Multimodal Sentiment and Personality Perception Under Speech: A Comparison of Transformer-based Architectures},
	url = {https://m2.mtmt.hu/api/publication/32789790},
	author = {Fodor, Ádám and Saboundji, Rachid Rhyad and Julio, C. S. Jacques Junior and Sergio, Escalera and David, Gallardo-Pujol and Lőrincz, András},
	journal-iso = {PROC MACH LEAR RESEARCH},
	journal = {PROCEEDINGS OF MACHINE LEARNING RESEARCH},
	volume = {173},
	unique-id = {32789790},
	issn = {2640-3498},
	year = {2022},
	pages = {218-241},
	orcid-numbers = {Lőrincz, András/0000-0002-1280-3447}
}

@article{MTMT:32538324,
	title = {Speech de-identification with deep neural networks},
	url = {https://m2.mtmt.hu/api/publication/32538324},
	author = {Fodor, Ádám and Kopácsi, László and Milacski, Zoltán Ádám and Lőrincz, András},
	doi = {10.14232/actacyb.288282},
	journal-iso = {ACTA CYBERN-SZEGED},
	journal = {ACTA CYBERNETICA},
	volume = {25},
	unique-id = {32538324},
	issn = {0324-721X},
	year = {2021},
	eissn = {2676-993X},
	pages = {257-269},
	orcid-numbers = {Milacski, Zoltán Ádám/0000-0002-3135-2936; Lőrincz, András/0000-0002-1280-3447}
}

@article{MTMT:31922307,
	title = {Adaptive, Hybrid Feature Selection (AHFS)},
	url = {https://m2.mtmt.hu/api/publication/31922307},
	author = {Viharos, Zsolt János and Kis, Krisztián Balázs and Fodor, Ádám and Büki, Máté István},
	doi = {10.1016/j.patcog.2021.107932},
	journal-iso = {PATTERN RECOGN},
	journal = {PATTERN RECOGNITION},
	volume = {116},
	unique-id = {31922307},
	issn = {0031-3203},
	year = {2021},
	eissn = {1873-5142},
	orcid-numbers = {Viharos, Zsolt János/0000-0002-9561-6857; Kis, Krisztián Balázs/0000-0003-3569-9889}
}

@CONFERENCE{MTMT:31656951,
	title = {Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings},
	url = {https://m2.mtmt.hu/api/publication/31656951},
	author = {Fodor, Ádám},
	booktitle = {Collection of Abstracts},
	unique-id = {31656951},
	year = {2020},
	pages = {63-64}
}

@CONFERENCE{MTMT:31523907,
	title = {Speech de-identification with deep neural networks},
	url = {https://m2.mtmt.hu/api/publication/31523907},
	author = {Fodor, Ádám and Kopácsi, László and Milacski, Zoltán Ádám and Lőrincz, András},
	booktitle = {The 12th Conference of PhD Students in Computer Science},
	unique-id = {31523907},
	year = {2020},
	pages = {7-10},
	orcid-numbers = {Milacski, Zoltán Ádám/0000-0002-3135-2936; Lőrincz, András/0000-0002-1280-3447}
}

@inproceedings{MTMT:31355561,
	title = {Common Fate Based Episodic Segmentation by Combining Supervoxels with Deep Neural Networks},
	url = {https://m2.mtmt.hu/api/publication/31355561},
	author = {Kopácsi, László and Fóthi, Áron and Fodor, Ádám and Somfai, Ellák and Lőrincz, András},
	booktitle = {2019 International Joint Conference on Neural Networks (IJCNN)},
	doi = {10.1109/IJCNN.2019.8851697},
	unique-id = {31355561},
	year = {2019},
	orcid-numbers = {Fóthi, Áron/0000-0002-1662-7583; Somfai, Ellák/0000-0002-2218-8855; Lőrincz, András/0000-0002-1280-3447}
}

@inproceedings{MTMT:30854704,
	title = {Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation},
	url = {https://m2.mtmt.hu/api/publication/30854704},
	author = {Fodor, Ádám and Fóthi, Áron and Kopácsi, László and Somfai, Ellák and Lőrincz, András},
	booktitle = {2019 International Joint Conference on Neural Networks (IJCNN)},
	doi = {10.1109/IJCNN.2019.8852391},
	volume = {2019-July},
	unique-id = {30854704},
	year = {2019},
	orcid-numbers = {Fóthi, Áron/0000-0002-1662-7583; Somfai, Ellák/0000-0002-2218-8855; Lőrincz, András/0000-0002-1280-3447}
}

@inproceedings{MTMT:3160153,
	title = {Production trend identification and forecast for shop-floor business intelligence},
	url = {https://m2.mtmt.hu/api/publication/3160153},
	author = {Viharos, Zsolt János and Csanaki, J and Nacsa, János and Edelényi, M and Péntek, C and Kis, Krisztián Balázs and Fodor, Ádám and Csempesz, János},
	booktitle = {14th IMEKO TC10 Workshop on Technical Diagnostics 2016},
	unique-id = {3160153},
	abstract = {The paper introduces a methodology to define production trend classes and also the results to serve with trend prognosis in a given manufacturing situation. The prognosis is valid for one, selected production measure (e.g. a quality dimension of one product, like diameters, angles, surface roughness, pressure, basis position, etc.) but the applied model takes into account the past values of many other, related production data collected typically on the shop-floor, too. Consequently, it is useful in batch or (customized) mass production environments. The proposed solution is applicable to realize production control inside the tolerance limits to proactively avoid the production process going outside from the given upper and lower tolerance limits. The solution was developed and validated on real data collected on the shop-floor; the paper also summarizes the validated application results of the proposed methodology. © 2016, IMEKO-International Measurement Federation Secretariat. All rights reserved.},
	keywords = {production control; Surface roughness; Maintainability; Production process; Production data; Tolerance limits; Floors; Shop floor; Quality dimension; Mass production},
	year = {2016},
	pages = {300-306},
	orcid-numbers = {Viharos, Zsolt János/0000-0002-9561-6857; Nacsa, János/0000-0002-3950-8501; Kis, Krisztián Balázs/0000-0003-3569-9889}
}