Publication References
Journal Articles
- A. Biró, A.I. Cuesta-Vargas, L. Szilágyi, “AI-Assisted Fatigue and Stamina Control for Performance Sports on IMU-Generated Multivariate Times Series Datasets”, Sensors, 2024, volume 24, 132. [Online].
- A. Biró, S.M. Szilágyi, and L. Szilágyi, “Optimal training dataset preparation for AI-supported multi-language real-time ORCs using visual methods”, Applied Sciences, volume 13, page 13107. MDPI, 2023. [Online].
- A. Biró, A. I. Cuesta-Vargas, and L. Szilágyi, “Precognition of mental health and neurogenerative disorders using AI-parsed text and sentiment analysis”, Acta Universitatis Sapientiae, Informatica, 15(2), 2023. [Online].
- A. Biró, A. Cuesta-Vargas, J. Martin-Martin, L. Szilágyi, and S. Szilágyi, “Synthetized multilanguage OCR using CRNN and SVTR models for realtime collaborative tools”, Applied Sciences, MDPI, vol. 13, no. 4419, 2023. [Online].
- A. Biró, S. Szilágyi, L. Szilágyi, J. Martin-Martin, and A. Cuesta-Vargas, “Machine learning on prediction of relative physical activity intensity using medical radar sensor and 3d accelerometer”, Sensors, MDPI, vol. 23, no. 3595, 2023. [Online].
- A. Cuesta-Vargas, A. Biró, A. Escriche-Escuder, and et al, “Effectiveness of a gamified digital intervention based on lifestyle modification (iGame) in secondary prevention: A protocol for a randomised controlled trial”, BMJ Open, vol. 13, 2023. [Online].
- A. Biró, K. Jánosi-Rancz, L. Szilágyi, A. Cuesta-Vargas, J. Martin-Martin, and S. Szilágyi, “Visual object detection with DETR to support video-diagnosis using conference tools”, Applied Sciences, MDPI, vol. 12, no. 5977, 2022. [Online].
- J. Martín-Martín, A. Jiménez-Partinen, A. Biró, et al., “Reliability study of inertial sensors LIS2DH12 compared to ACTI-GRAPH GT9X: Based on free code”, Applied Sciences, MDPI, vol. 12, no. 749, 2022. [Online].
- J. Martín-Martín, L. Wang, A. Biró, and et al., “The validity of the energy expenditure criteria based on open source code through two inertial sensors”, Sensors, MDPI, vol. 22, no. 2552, 2022. [Online].
- J. Martín-Martín, A. Muro-Culebras, C. Roldán-Jiménez, A. Biró, and et al., “Evaluation of Android and Apple store depression applications based on mobile application rating scale”, International Journal of Environmental Research and Public Health, MDPI, vol. 18, no. 12505, 2021. [Online].
- J. Martín-Martín, C. Roldán-Jiménez, I. De-Torres, A. Biró, and et al., “Behavior change techniques and the effects associated with digital behavior change interventions in sedentary behavior in the clinical population: A systematic review”, Frontiers in Digital Health, vol. 3, 2021. [Online].
- A. Muro-Culebras, A. Escriche-Escuder, J. Martin-Martin, A. Biró, and et al., “Tools for evaluating the content, efficacy, and usability of mobile health apps according to the consensus-based standards for the selection of health measurement instruments: Systematic review”, JMIR mHealth uHealth, vol. 9, no. 12, e15433, 2021. [Online].
- J. Martín-Martín, C. Roldán-Jiménez, I. De-Torres, A. Biró, and et al., “Assessment of the quality of mobile applications (apps) for management of low back pain using the mobile app rating scale (MARS)”, International Journal of Environmental Research and Public Health, MDPI, vol. 17, no. 9209, 2020. [Online].
Conference Papers
- A. Biró, A. I. Cuesta-Vargas and L. Szilágyi, “Enhanced Spatial-Temporal Analysis for EEG-Based Microsleep Detection: Integrating Kalman Filtering with Voronoi Tessellation and Adaptive Coverage Control”, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kuching, Malaysia, IEEE, 2025, pp. 4855-4860, [Online], Xplore IEEE.
- A. Biró, “Gamification, GenAI and Reinforcement Learning as Motivational Assets in Performance Sports”, in IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI), Timisoara, Romania, 2024, pp. 000315-000320, [Online], Xplore IEEE.
- A. Biró, A. I. Cuesta-Vargas, and L. Szilágyi, “AI-controlled training method for performance hardening or injury recovery in sports”, in IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI), Stará Lesná, Slovakia, 2024, pp. 000259-000264, [Online], Xplore IEEE.
- A. Biró, K. T. Jánosi-Rancz, and L. Szilágyi, “Real-time artificial intelligence text analysis for identifying burnout syndromes in high-performance athletes”, in IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI), Stará Lesná, Slovakia, IEEE, 2024, pp. 000253-000258, [Online], Xplore IEEE.
- A. Biró, A. I. Cuesta-Vargas, J. Martin-Martin, and S. M. Szilagyi, “AI-supported sports safety and preventive health solutions in performance sports”, International Conference of PhD Students and Young Doctors, UMFST, 2023
- A. Biró, A. I. Cuesta-Vargas, and L. Szilágyi, “sRPE and ACWR to control fatigue levels and minimize injuries in performance sports”, in 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Oahu, HI, USA, IEEE, 2023, pp. 2808-2813, [Online], Xplore IEEE.
- A. Biró, A. I. Cuesta-Vargas, and S. M. Szilágyi, “Real-time disease and COVID-19 detection pipeline from voice for performance sports”, in 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Oahu, HI, USA, IEEE, 2023, pp. 2309-2314, [Online], Xplore IEEE.
- A. Biró, A. I. Cuesta-Vargas, and L. Szilágyi, “Applied AI for real-time detection of lesions and tumors following severe head injuries”, in IEEE 21st International Symposium on Intelligent Systems and Informatics (SISY), Pula, Croatia, IEEE, 2023, Xplore IEEE, [Online].
- A. Biró, A. I. Cuesta-Vargas, and S. M. Szilágyi, “Predictive sports strategy approach using yolo and yolo-nas in performance sports”, in IEEE 21st International Symposium on Intelligent Systems and Informatics (SISY), Pula, Croatia, IEEE, 2023, Xplore IEEE, [Online].
- A. Biró, A. Cuesta-Vargas, J. Martin-Martin, and S. M. Szilagyi, “AI proxy in sports safety for multilingual collaborative video-diagnosis solutions”, in International Conference of PhD Students and Young Doctors, UMFST, 2022
- A. Biró, K. T. Jánosi-Rancz, A. Cuesta-Vargas, J. Martin-Martin, and S. M. Szilagyi, “Applied ensemble learning methods and ML models to support multilingual, realtime distant diagnostics”, in International Conference of PhD Students and Young Doctors, UMFST, 2021
- K. Ohno, M. Hiroura, and A. Biró, “Development of sake brewing entrepreneurs support system in Fukushima”, in IIEEJ International Workshop on Image Electronics and Visual Computing, Da Nang, Vietnam: IIEEJ, 2017
- K. Ohno, H. Csilla, M. Hiroura, and A. Biró, “Manufacturing and market development of M2M/IoT product Kojimori with intercultural effort”, IPSJ SIG Report, vol. 2015-DC-98, no. 17, 2015
