András Sárkány

Towards reasoning based representations: Deep Consistence Seeking Machine

András Lörincz, Zoltán Ádám Milacski, Zoltan Toser, 2018, Cognitive Systems Research.

Cognitive Deep Machine Can Train Itself pdf

András Lörincz, Zoltán Tosér, Zoltán Ádám Milacski, 2016, ArXiv.

Semi-Supervised Learning of Cartesian Factors: A Top-Down Model of the Entorhinal Hippocampal Complex

András Lőrincz, András Sárkány, A. Lorincz, 2017, Front. Psychol..

Sex-Specific Patterns of Mortality Predictors Among Patients Undergoing Cardiac Resynchronization Therapy: A Machine Learning Approach

B. Merkely, A. Kosztin, A. Kovács, 2021, Frontiers in Cardiovascular Medicine.

Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score

B. Merkely, A. Kosztin, V. Kutyifa, 2020, European heart journal.

LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos

Daniel Sonntag, András Lörincz, Takumi Toyama, 2014, 2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI).

Combining Common Sense Rules and Machine Learning to Understand Object Manipulation

András Sárkány, Máté Csákvári, Mike Olasz, 2019, Acta Cybern..

Composite AI for Behavior Analysis in Social Interactions

L. Soorya, András Lőrincz, Kristian Fenech, 2023, ICMI Companion.

Maintain and Improve Mental Health by Smart Virtual Reality Serious Games

Daniel Sonntag, András Lörincz, Zoltán Tosér, 2015, MindCare.