Kinga Bettina Faragó
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Strategic predictors of performance in a divided attention task
RA Rill, KB Faragó, A Lőrincz
Plos one 13 (4), e0195131, 2018
62018
Personalization of gaze direction estimation with deep learning
Z Tősér, RA Rill, K Faragó, LA Jeni, A Lőrincz
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2016
62016
An exploratory case study on letter-based, head-movement-driven communication
B Miksztai-Réthey, KB Faragó
Technology and Disability 29 (4), 153-161, 2018
32018
Declarative description: The meeting point of artificial intelligence deep neural networks and human intelligence
Z Milacski, K Faragó, A Fóthi, V Varga, A Lorincz
XAI 2018, Proceedings of the 2nd Workshop on Explainable Artificial …, 2018
22018
Enhancing Crowdsourced Applications via Incorporated Practice Sessions.
KB Faragó, ZA Milacski, A Nemeth, A Lörincz
GamifIR@ ECIR, 41-43, 2015
12015
Collision Avoidance Using Deep Learning-Based Monocular Vision
RA Rill, KB Faragó
SN Computer Science 2 (5), 1-10, 2021
2021
Multi Object Tracking for Similar Instances: A Hybrid Architecture
Á Fóthi, KB Faragó, L Kopácsi, ZÁ Milacski, V Varga, A Lőrincz
International Conference on Neural Information Processing, 436-447, 2020
2020
" Strategic predictors of performance in a divided attention task": Correction.
RA Rill, KB Faragó, A Lőrincz
Public Library of Science, 2018
2018
Gaze-based Cursor Control Impairs Performance in Divided Attention
RA Rillab, KB Faragóa
Acta Cybernetica 23, 1071-1087, 2018
2018
Assistive Technology as an artificial intelligence opportunity: Case study of letter-based, head movement driven communication
B Miksztai-Réthey, KB Faragó
Assistive Technology, 718-723, 2015
2015
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