Search results

  1. 1.
    0577167 - ÚI 2024 RIV US eng C - Conference Paper (international conference)
    Mushtaq, U. - Cabessa, Jérémie
    Argument Mining with Modular BERT and Transfer Learning.
    IJCNN 2023 Conference Proceedings. Piscataway: IEEE, 2023, č. článku 191330. ISBN 978-1-6654-8867-9.
    [IJCNN 2023: International Joint Conference on Neural Networks /36./. Queensland (AU), 18.06.2023-23.06.2023]
    R&D Projects: GA ČR(CZ) GA22-02067S
    Institutional support: RVO:67985807
    Keywords : Argument Mining * BERT * Features as Text * modular BERT * NLP * Transfer Learning
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: https://hdl.handle.net/11104/0346396
     
     
  2. 2.
    0570030 - ÚI 2024 RIV US eng C - Conference Paper (international conference)
    Harikrishnan, N. B. - Kathpalia, Aditi - Nagaraj, N.
    Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning.
    Advances in Neural Information Processing Systems 35 (NeurIPS 2022). New Orleans: Curran Associates, 2022 - (Koyejo, S.; Mohamed, S.; Agarwal, A.; Belgrave, D.; Cho, K.; Oh, A.), č. článku 189185. ISBN 978-171387108-8. ISSN 1049-5258.
    [NeurIPS 2022: Conference on Neural Information Processing Systems /36./. New Orleans / virtual (US), 28.11.2022-09.12.2022]
    R&D Projects: GA ČR(CZ) GA19-16066S
    Grant - others:AV ČR(CZ) AP1901
    Program: Akademická prémie - Praemium Academiae
    Institutional support: RVO:67985807
    Keywords : neurochaos learning * cause-effect classification * transfer learning * causal machine learning
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    https://proceedings.neurips.cc/paper_files/paper/2022/file/0d9057d84a9fc37523bf826232ea6820-Paper-Conference.pdf
    Permanent Link: https://hdl.handle.net/11104/0341401
    FileDownloadSizeCommentaryVersionAccess
    0570030-afin.pdf21.6 MBvolně onlinePublisher’s postprintopen-access
     
     
  3. 3.
    0562021 - ASÚ 2023 RIV US eng C - Conference Paper (international conference)
    Podsztavek, O. - Škoda, Petr - Tvrdík, P.
    Transfer Learning in Large Spectroscopic Surveys.
    Astronomical Data Analysis Software and System XXX. San Francisco: Astronomical Society of the Pacific, 2022 - (Ruiz, J.), s. 235-238. ASP Conference Series, 532. ISBN 978-1-58381-934-0.
    [Astronomical Data Analysis Software and System /30./. on-line (US), 08.11.2020-12.11.2020]
    Institutional support: RVO:67985815
    Keywords : transfer learning * spectroscopy * sky surveys
    OECD category: Astronomy (including astrophysics,space science)
    http://www.aspbooks.org/publications/532/235.pdf
    Permanent Link: https://hdl.handle.net/11104/0334448
     
     
  4. 4.
    0559729 - ÚTIA 2023 RIV NL eng J - Journal Article
    Papež, Milan - Quinn, Anthony
    Transferring model structure in Bayesian transfer learning for Gaussian process regression.
    Knowledge-Based System. Roč. 251, č. 1 (2022), č. článku 108875. ISSN 0950-7051. E-ISSN 1872-7409
    R&D Projects: GA ČR(CZ) GA18-15970S
    Institutional support: RVO:67985556
    Keywords : Bayesian transfer learning (BTL) * Multitask learning * Local and global modelling * Fully probabilistic design * Incomplete modelling * Gaussian process regression
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 8.8, year: 2022
    Method of publishing: Limited access
    http://library.utia.cas.cz/separaty/2022/AS/papez-0559729.pdf https://www.sciencedirect.com/science/article/pii/S095070512200418X?via%3Dihub
    Permanent Link: https://hdl.handle.net/11104/0333424
     
     
  5. 5.
    0558088 - ÚTAM 2023 RIV GB eng J - Journal Article
    Huang, H. - Xue, C. - Zhang, Wei - Guo, M. X.
    Torsion design of CFRP-CFST columns using a data-driven optimization approach.
    Engineering Structures. Roč. 251, January (2022), č. článku 113479. ISSN 0141-0296. E-ISSN 1873-7323
    Institutional support: RVO:68378297
    Keywords : CFST columns * combined loads * multi-objective optimization * overfitting * SHAP values * transfer learning
    OECD category: Civil engineering
    Impact factor: 5.5, year: 2022
    Method of publishing: Limited access
    https://doi.org/10.1016/j.engstruct.2021.113479
    Permanent Link: http://hdl.handle.net/11104/0331888
     
     
  6. 6.
    0551618 - ÚTIA 2022 RIV NL eng J - Journal Article
    Kuklišová Pavelková, Lenka - Jirsa, Ladislav - Quinn, Anthony
    Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances.
    Knowledge-Based System. Roč. 238, č. 1 (2022), č. článku 107879. ISSN 0950-7051. E-ISSN 1872-7409
    R&D Projects: GA ČR(CZ) GA18-15970S
    Institutional support: RVO:67985556
    Keywords : Knowledge fusion * Bayesian transfer learning * Fully probabilistic design * State–space models * Bounded noise * Bayesian inference
    OECD category: Statistics and probability
    Impact factor: 8.8, year: 2022
    Method of publishing: Limited access
    http://library.utia.cas.cz/separaty/2022/AS/kuklisova-0551618.pdf https://www.sciencedirect.com/science/article/pii/S0950705121010388
    Permanent Link: http://hdl.handle.net/11104/0326889
     
     
  7. 7.
    0550881 - ÚTIA 2022 RIV CZ eng V - Research Report
    Nugent, Sh. - Quinn, Anthony
    Transferring Improved Local Kernel Design in Multi-Source Bayesian Transfer Learning, with an application in Air Pollution Monitoring in India.
    Praha: ÚTIA AV ČR, v. v. i.,, 2021. 19 s. Research Report, 2392.
    R&D Projects: GA ČR(CZ) GA18-15970S
    Institutional support: RVO:67985556
    Keywords : fully probabilistic methods * Bayesian Transfer Learning algorithm * Gaussian Process * Intrinsic Coregionalization Model * pollution modelling
    OECD category: Applied mathematics
    http://library.utia.cas.cz/separaty/2021/AS/quinn-0550881.pdf
    Permanent Link: http://hdl.handle.net/11104/0326186
    FileDownloadSizeCommentaryVersionAccess
    0550881.pdf0483 KBOtheropen-access
     
     
  8. 8.
    0549009 - ÚTIA 2022 RIV US eng C - Conference Paper (international conference)
    Murray, S. E. - Quinn, Anthony
    Bayesian Selective Transfer Learning for Patient-Specific Inference in Thyroid Radiotherapy.
    Proceedings of the 32nd Irish Signals and Systems Conference (ISSC) 2021. Piscataway: IEEE, 2021, č. článku 9467862. ISBN 978-1-6654-3429-4.
    [Irish Signals and Systems Conference (ISSC 2021) /23./. Athlone (IE), 10.06.2021-11.06.2021]
    R&D Projects: GA ČR(CZ) GA18-15970S
    Institutional support: RVO:67985556
    Keywords : Bioinformatics * Decision support systems * Nuclear medicine * Bayesian Transfer learning
    OECD category: Applied mathematics
    http://library.utia.cas.cz/separaty/2021/AS/quinn-0549009.pdf
    Permanent Link: http://hdl.handle.net/11104/0325123
     
     
  9. 9.
    0549008 - ÚTIA 2022 RIV US eng C - Conference Paper (international conference)
    Barber, Alec - Quinn, Anthony
    Robust Bayesian Transfer Learning between Autoregressive Inference Tasks.
    Proceedings of the 32nd Irish Signals and Systems Conference (ISSC) 2021. Piscataway: IEEE, 2021, č. článku 9467857. ISBN 978-1-6654-3429-4.
    [Irish Signals and Systems Conference (ISSC 2021) /23./. Athlone (IE), 10.06.2021-11.06.2021]
    R&D Projects: GA ČR(CZ) GA18-15970S
    Institutional support: RVO:67985556
    Keywords : autoregressive (AR) model * Bayesian transfer learning * data-predictive transfer * FPD * robust transfer
    OECD category: Applied mathematics
    http://library.utia.cas.cz/separaty/2021/AS/quinn-0549008.pdf
    Permanent Link: http://hdl.handle.net/11104/0325124
     
     
  10. 10.
    0549007 - ÚTIA 2022 RIV US eng C - Conference Paper (international conference)
    Papež, Milan - Quinn, Anthony
    Hierarchical Bayesian Transfer Learning Between a Pair of Kalman Filters.
    Proceedings of the 32nd Irish Signals and Systems Conference (ISSC) 2021. Piscataway: IEEE, 2021, č. článku 9467863. ISBN 978-1-6654-3429-4.
    [Irish Signals and Systems Conference (ISSC 2021) /23./. Athlone (IE), 10.06.2021-11.06.2021]
    R&D Projects: GA ČR(CZ) GA18-15970S
    Institutional support: RVO:67985556
    Keywords : fully probabilistic design * hierarchical models * Bayesian transfer learning * randomized design * Kalman filters
    OECD category: Applied mathematics
    http://library.utia.cas.cz/separaty/2021/AS/papez-0549007.pdf
    Permanent Link: http://hdl.handle.net/11104/0325119
     
     

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