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András Sárkány
András Sárkány
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Year
Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score
M Tokodi, WR Schwertner, A Kovács, Z Tősér, L Staub, A Sárkány, ...
European heart journal 41 (18), 1747-1756, 2020
1062020
LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos
Z Palotai, M Láng, A Sárkány, Z Tősér, D Sonntag, T Toyama, A Lőrincz
2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2014
232014
Sex-specific patterns of mortality predictors among patients undergoing cardiac resynchronization therapy: a machine learning approach
M Tokodi, A Behon, ED Merkel, A Kovács, Z Tősér, A Sárkány, M Csákvári, ...
Frontiers in Cardiovascular Medicine 8, 611055, 2021
152021
On-body multi-input indoor localization for dynamic emergency scenarios: fusion of magnetic tracking and optical character recognition with mixed-reality display
J Orlosky, T Toyama, D Sonntag, A Sarkany, A Lorincz
2014 IEEE International Conference on Pervasive Computing and Communication …, 2014
142014
Maintain and improve mental health by smart virtual reality serious games
A Sárkány, Z Tősér, AL Verő, A Lőrincz, T Toyama, EN Toosi, D Sonntag
Pervasive Computing Paradigms for Mental Health: 5th International …, 2016
112016
Towards reasoning based representations: Deep consistence seeking machine
A Lőrincz, M Csákvári, Á Fóthi, ZÁ Milacski, A Sárkány, Z Tősér
Cognitive Systems Research 47, 92-108, 2018
92018
Semi-supervised learning of cartesian factors: a top-down model of the entorhinal hippocampal complex
A Lőrincz, A Sárkány
Frontiers in Psychology 8, 223068, 2017
62017
Estimating cartesian compression via deep learning
A Lőrincz, A Sárkány, ZÁ Milacski, Z Tősér
Artificial General Intelligence: 9th International Conference, AGI 2016, New …, 2016
52016
Recommending Missing Symbols of Augmentative and Alternative Communication by Means of Explicit Semantic Analysis.
G Vörös, P Rabi, B Pintér, A Sárkány, D Sonntag, A Lörincz
AAAI Fall Symposia, 2014
42014
Cognitive deep machine can train itself
A Lőrincz, M Csákvári, Á Fóthi, ZÁ Milacski, A Sárkány, Z Tősér
arXiv preprint arXiv:1612.00745, 2016
32016
Composite AI for Behavior Analysis in Social Interactions
BC Dos Santos Melicio, L Xiang, E Dillon, L Soorya, M Chetouani, ...
Companion Publication of the 25th International Conference on Multimodal …, 2023
22023
Exploring sex-specific patterns of mortality predictors among patients undergoing cardiac resynchronization therapy: a machine learning approach
M Tokodi, A Behon, ED Merkel, A Kovacs, Z Toser, A Sarkany, M Csakvari, ...
European Heart Journal 41 (Supplement_2), ehaa946. 0996, 2020
22020
Artificial intelligence-enabled reconstruction of the right ventricular pressure curve using the peak pressure value: a proof-of-concept study
A Szijarto, A Nicoara, M Podgoreanu, M Tokodi, A Fabian, B Merkely, ...
medRxiv, 2024.01. 22.24301598, 2024
2024
Naturalistic, Non-Invasive Method for Capturing Biometric Data during Autism Diagnostic Evaluations
K Kamal, A Sarkany, CW Brune, EF Dillon, LV Soorya, Z Tősér
INSAR 2023, 2023
2023
Combining Common Sense Rules and Machine Learning to Understand Object Manipulation
A Sárkány, M Csákvári, M Olasz
Acta Cybernetica 24 (1), 157-172, 2019
2019
Towards the understanding of object manipulations by means of combining common sense rules and deep networks
M Csákvári, A Sárkány
THE 11TH CONFERENCE OF PHD STUDENTS IN COMPUTER SCIENCE, 118, 2018
2018
Semi-Supervised Learning of Cartesian Factors
A Lorincz, A Sárkány
2017
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