| Recognition of normal–abnormal phonocardiographic signals using deep convolutional neural networks and mel-frequency spectral coefficients V Maknickas, A Maknickas Physiological measurement 38 (8), 1671, 2017 | 116 | 2017 |
| Parallel discrete element simulation of poly-dispersed granular material R Kačianauskas, A Maknickas, A Kačeniauskas, D Markauskas, ... Advances in Engineering Software 41 (1), 52-63, 2010 | 83 | 2010 |
| Investigation of performance of programming approaches and languages used for numerical simulation of granular material by the discrete element method R Balevičius, A Džiugys, R Kačianauskas, A Maknickas, K Vislavičius Computer Physics Communications 175 (6), 404-415, 2006 | 72 | 2006 |
| Parallel DEM software for simulation of granular media A Maknickas, A Kačeniauskas, R Kačianauskas, R Balevičius, A Džiugys Informatica 17 (2), 207-224, 2006 | 63 | 2006 |
| Investigation of financial market prediction by recurrent neural network N Maknickienė, AV Rutkauskas, A Maknickas Innovative Technologies for Science, Business and Education 2 (11), 3-8, 2011 | 56 | 2011 |
| Application of neural network for forecasting of exchange rates and forex trading N Maknickienė, A Maknickas The 7th international scientific conference" Business and Management, 10-11, 2012 | 55 | 2012 |
| Numerical particle-based analysis of the effects responsible for acoustic particle agglomeration D Markauskas, R Kačianauskas, A Maknickas Advanced Powder Technology 26 (3), 698-704, 2015 | 54 | 2015 |
| Atrial fibrillation classification using qrs complex features and lstm V Maknickas, A Maknickas 2017 Computing in Cardiology (CinC), 1-4, 2017 | 43 | 2017 |
| Financial market prediction system with Evolino neural network and Delphi method N Maknickienė, A Maknickas Journal of Business Economics and Management 14 (2), 403-413, 2013 | 35 | 2013 |
| DEMMAT code for numerical simulation of multi-particle systems dynamics R Balevičius, R Kačianauskas, A Džiugys, A Maknickas, K Vislavičius Information technology and control 34 (1), 2005 | 32 | 2005 |
| Experimental investigation of acoustic agglomeration of diesel engine exhaust particles using new created acoustic chamber K Kilikevičienė, R Kačianauskas, A Kilikevičius, A Maknickas, J Matijošius, ... Powder technology 360, 421-429, 2020 | 29 | 2020 |
| Discrete element simulating the hydrodynamic effects in acoustic agglomeration of micron-sized particles A Maknickas, D Markauskas, R Kačianauskas Particulate Science and Technology 34 (4), 453-460, 2016 | 25 | 2016 |
| Comparative DEM-CFD study of binary interaction and acoustic agglomeration of aerosol microparticles at low frequencies R Kačianauskas, V Rimša, A Kačeniauskas, A Maknickas, D Vainorius, ... Chemical Engineering Research and Design 136, 548-563, 2018 | 22 | 2018 |
| Development of cloud services for patient-specific simulations of blood flows through aortic valves A Kačeniauskas, R Pacevič, V Starikovičius, A Maknickas, M Staškūnienė, ... Advances in Engineering Software 103, 57-64, 2017 | 22 | 2017 |
| Computation and visualization of discrete particle systems on gLite-based grid A Kačeniauskas, R Kačianauskas, A Maknickas, D Markauskas Advances in Engineering Software 42 (5), 237-246, 2011 | 21 | 2011 |
| Application of ensemble of recurrent neural networks for forecasting of stock market sentiments N Maknickiene, I Lapinskaite, A Maknickas Equilibrium. Quarterly Journal of Economics and Economic Policy 13 (1), 7-27, 2018 | 20 | 2018 |
| The geometric model-based patient-specific simulations of turbulent aortic valve flows. E Stupak, R Kačianauskas, A Kačeniauskas, V Starikovičius, A Maknickas, ... Archives of Mechanics 69, 2017 | 19 | 2017 |
| DEM analysis of acoustic wake agglomeration for mono-sized microparticles in the presence of gravitational effects R Kačianauskas, A Maknickas, D Vainorius Granular matter 19, 1-12, 2017 | 16 | 2017 |
| Simulation of acoustic particle agglomeration in poly-dispersed aerosols D Markauskas, A Maknickas, R Kačianauskas Procedia engineering 102, 1218-1225, 2015 | 16 | 2015 |
| Fem-based compression fracture risk assessment in osteoporotic lumbar vertebra l1 A Maknickas, V Alekna, O Ardatov, O Chabarova, D Zabulionis, ... Applied Sciences 9 (15), 3013, 2019 | 14 | 2019 |
Arnas KačeniauskasInformatikos profesorius, Vilniaus Gedimino technikos universitetasVerified email at vgtu.lt
