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2020 – today
- 2024
[j4]Robertas Alzbutas
, Gintautas Dundulis:
Probabilistic Assessment of Structural Integrity. Axioms 13(3): 154 (2024)- 2020
- [j3]Tomas Iesmantas, Robertas Alzbutas:
Convolutional neural network for detection and classification of seizures in clinical data. Medical Biol. Eng. Comput. 58(9): 1919-1932 (2020)
2010 – 2019
- 2019
- [i2]Tomas Iesmantas, Robertas Alzbutas:
Convolutional neural network for detection and classification of seizures in clinical data. CoRR abs/1903.08864 (2019) - 2018
- [c4]Tomas Iesmantas, Robertas Alzbutas:
Convolutional Capsule Network for Classification of Breast Cancer Histology Images. ICIAR 2018: 853-860 - [i1]Tomas Iesmantas, Robertas Alzbutas:
Convolutional capsule network for classification of breast cancer histology images. CoRR abs/1804.08376 (2018) - 2016
- [j2]Tomas Iesmantas, Robertas Alzbutas:
Bayesian Reliability of Gas Network Under Varying Incident Registration Criteria. Qual. Reliab. Eng. Int. 32(5): 1903-1912 (2016) - 2014
- [j1]Robertas Alzbutas, Tomas Iesmantas:
Application of Bayesian Methods for Age-Dependent Reliability Analysis. Qual. Reliab. Eng. Int. 30(1): 121-132 (2014) - 2012
- [c3]Tomas Blazauskas, Tomas Iesmantas, Robertas Alzbutas:
Service-Oriented Architecture for Designing of Physical Systems with Efficient Power Consumption. ICIST 2012: 275-287 - [c2]Iñigo Mendikoa, Mikel Sorli, Alberto Armijo, Laura García, Luis Erausquin, Mario Insunza, Jon Bilbao, Hakan Fridén, Anders Björk, Linus Bergfors, Romualdas Skema, Robertas Alzbutas, Tomas Iesmantas:
Energy Efficiency Optimisation in Heat Treatment Process Design. APMS (1) 2012: 127-134
1990 – 1999
- 1999
- [c1]Robertas Alzbutas, Vytautas Janilionis:
Dynamic systems simulation using APL2. APL 1999: 20-25
Coauthor Index
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