Ana Santos Rodrigues; Rytis Augustauskas; Mantas Lukoševičius; Pablo Laguna; Vaidotas Marozas
Deep-learning-based estimation of the spatial QRS-T angle from reduced-lead ECGs Journal Article
In: Sensors, vol. 22, no. 14, pp. 5414, 2022, ISSN: 1424-8220.
Links | BibTeX | Tags: Biomedicine, Convolutional neural networks, Deep learning, Source code available
@article{ASRodriguesEtAl2022,
title = {Deep-learning-based estimation of the spatial QRS-T angle from reduced-lead ECGs},
author = {Ana Santos Rodrigues and Rytis Augustauskas and Mantas Luko\v{s}evi\v{c}ius and Pablo Laguna and Vaidotas Marozas},
url = {https://mantas.info/get-publication/?f=DL-based_QRS-T_angle_estimation.pdf
https://www.mdpi.com/1734150
https://www.mdpi.com/1424-8220/22/14/5414
https://www.mdpi.com/1424-8220/22/14/5414/pdf?version=1658312326
https://github.com/anarasr/DeepLearningSpatialQRS-Tangle},
doi = {10.3390/s22145414},
issn = {1424-8220},
year = {2022},
date = {2022-07-20},
urldate = {2022-07-20},
journal = {Sensors},
volume = {22},
number = {14},
pages = {5414},
keywords = {Biomedicine, Convolutional neural networks, Deep learning, Source code available},
pubstate = {published},
tppubtype = {article}
}
Artūras Skarbalius; Mantas Lukoševičius
Automatic programming problem difficulty evaluation – first results Proceedings Article
In: ICIST 2021: Information and Software Technologies, pp. 150–159, Springer, 2021, ISBN: 978-3-030-88304-1.
Links | BibTeX | Tags: Convolutional neural networks, Deep learning, Natural language processing
@inproceedings{SkarbaliusLukosevicius21,
title = {Automatic programming problem difficulty evaluation \textendash first results},
author = {Art\={u}ras Skarbalius and Mantas Luko\v{s}evi\v{c}ius},
url = {https://mantas.info/get-publication/?f=Problem_difficulty_evaluation.pdf
https://link.springer.com/chapter/10.1007/978-3-030-88304-1_12},
doi = {10.1007/978-3-030-88304-1_12},
isbn = {978-3-030-88304-1},
year = {2021},
date = {2021-10-07},
urldate = {2021-10-07},
booktitle = {ICIST 2021: Information and Software Technologies},
pages = {150--159},
publisher = {Springer},
keywords = {Convolutional neural networks, Deep learning, Natural language processing},
pubstate = {published},
tppubtype = {inproceedings}
}
Rokas Pečiulis; Mantas Lukoševičius; Algimantas Kriščiukaitis; Robertas Petrolis; Dovilė Buteikienė
Automated age-related macular degeneration area estimation – first results Proceedings Article
In: Proceedings of the 26th International Conference on Information Society and University Studies (IVUS 2021), pp. 141-149, CEUR, 2021.
Links | BibTeX | Tags: Biomedicine, Convolutional neural networks, Deep learning
@inproceedings{PeciulisEtal2021,
title = {Automated age-related macular degeneration area estimation \textendash first results},
author = {Rokas Pe\v{c}iulis and Mantas Luko\v{s}evi\v{c}ius and Algimantas Kri\v{s}\v{c}iukaitis and Robertas Petrolis and Dovil\.{e} Buteikien\.{e}},
url = {https://mantas.info/get-publication/?f=Macular_degeneration_estimation_1st_results.pdf
https://arxiv.org/abs/2107.02211
https://arxiv.org/pdf/2107.02211.pdf
http://ceur-ws.org/Vol-2915/paper16.pdf},
year = {2021},
date = {2021-04-23},
urldate = {2021-04-23},
booktitle = {Proceedings of the 26th International Conference on Information Society and University Studies (IVUS 2021)},
volume = {2915},
pages = {141-149},
publisher = {CEUR},
keywords = {Biomedicine, Convolutional neural networks, Deep learning},
pubstate = {published},
tppubtype = {inproceedings}
}
Arnas Uselis; Mantas Lukoševičius; Lukas Stasytis
Localized convolutional neural networks for geospatial wind forecasting Journal Article
In: Energies, vol. 13, no. 13, pp. 3440, 2020.
Links | BibTeX | Tags: Convolutional neural networks, Deep learning, Geospatial, Source code available
@article{UselisLukoseviciusStasytis20,
title = {Localized convolutional neural networks for geospatial wind forecasting },
author = {Arnas Uselis and Mantas Luko\v{s}evi\v{c}ius and Lukas Stasytis},
url = {https://mantas.info/get-publication/?f=Localized_CNNs_for_wind_forecasting.pdf
https://www.mdpi.com/1996-1073/13/13/3440
https://arxiv.org/abs/2005.05930v3
https://arxiv.org/pdf/2005.05930v3.pdf
https://paperswithcode.com/paper/localized-convolutional-neural-networks-for
https://github.com/oshapio/Localized-CNNs-for-Geospatial-Wind-Forecasting
https://mantas.info/get-publication/?f=Localized_CNNs-Gentle_intro_presentation_in_Lithuanian.pdf
https://www.youtube.com/watch?v=cie6lCs1nR4\&Gentle_intro_presentation_in_Lithuanian
},
doi = {10.3390/en13133440},
year = {2020},
date = {2020-07-03},
urldate = {2020-07-03},
issuetitle = {Machine Learning and Deep Learning for Energy Systems},
journal = {Energies},
volume = {13},
number = {13},
pages = {3440},
publisher = {MDPI},
keywords = {Convolutional neural networks, Deep learning, Geospatial, Source code available},
pubstate = {published},
tppubtype = {article}
}
- https://mantas.info/get-publication/?f=Localized_CNNs_for_wind_forecasting.pdf
- https://www.mdpi.com/1996-1073/13/13/3440
- https://arxiv.org/abs/2005.05930v3
- https://arxiv.org/pdf/2005.05930v3.pdf
- https://paperswithcode.com/paper/localized-convolutional-neural-networks-for
- https://github.com/oshapio/Localized-CNNs-for-Geospatial-Wind-Forecasting
- https://mantas.info/get-publication/?f=Localized_CNNs-Gentle_intro_presentation_[...]
- https://www.youtube.com/watch?v=cie6lCs1nR4&Gentle_intro_presentation_in_Lit[...]
- doi:10.3390/en13133440
Aivaras Čiurlionis; Mantas Lukoševičius
Nowcasting precipitation using weather radar data for Lithuania: the first results Proceedings Article
In: SYSTEM 2018 Symposium for Young Scientists in Technology, Engineering and Mathematics, pp. 55-60, CEUR, 2018.
Links | BibTeX | Tags: Convolutional neural networks, Deep learning, Geospatial
@inproceedings{CiurlionisLukosevicius18,
title = {Nowcasting precipitation using weather radar data for Lithuania: the first results},
author = {Aivaras \v{C}iurlionis and Mantas Luko\v{s}evi\v{c}ius},
url = {https://mantas.info/get-publication/?f=nowcasting_LT_weather_1st_results.pdf
http://ceur-ws.org/Vol-2147/p10.pdf},
year = {2018},
date = {2018-05-28},
urldate = {2018-05-28},
booktitle = {SYSTEM 2018 Symposium for Young Scientists in Technology, Engineering and Mathematics},
volume = {2147},
pages = {55-60},
publisher = {CEUR},
keywords = {Convolutional neural networks, Deep learning, Geospatial},
pubstate = {published},
tppubtype = {inproceedings}
}
Liutauras Butkus; Mantas Lukoševičius
A polite robot: visual handshake recognition using deep learning Proceedings Article
In: SYSTEM 2018 Symposium for Young Scientists in Technology, Engineering and Mathematics, pp. 78-83, CEUR, 2018.
Links | BibTeX | Tags: Convolutional neural networks, Deep learning
@inproceedings{ButkusLukosevicius18,
title = {A polite robot: visual handshake recognition using deep learning},
author = {Liutauras Butkus and Mantas Luko\v{s}evi\v{c}ius},
url = {https://mantas.info/get-publication/?f=visual_handshake_recognition.pdf
http://ceur-ws.org/Vol-2147/p14.pdf},
year = {2018},
date = {2018-05-28},
urldate = {2018-05-28},
booktitle = {SYSTEM 2018 Symposium for Young Scientists in Technology, Engineering and Mathematics},
journal = {SYSTEM 2018 Symposium for Young Scientists in Technology, Engineering and Mathematics},
volume = {2147},
pages = {78-83},
publisher = {CEUR},
keywords = {Convolutional neural networks, Deep learning},
pubstate = {published},
tppubtype = {inproceedings}
}
Local versions of paywalled articles are preprints.
My publications in Google Scholar.