Projects funded by the NCN

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111 projects found matching your search criteria :

  1. Methods for real-time object detection and tracking based on 3D map analysis and semi-supervised learning

    Call: OPUS 8 , Panel: ST6

    Principal investigator: dr hab. Bogdan Kwolek

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Informatyki, Elektroniki i Telekomunikacji

  2. Estimating the effect of single-sex schooling (SSS) on academic achievement in lower-secondary schools

    Call: PRELUDIUM 7 , Panel: HS6

    Principal investigator: Maciej Tomasz Koniewski

    Uniwersytet Jagielloński, Wydział Filozoficzny

  3. Development of machne learning methods with an application of determining of chemical compounds activitiy

    Call: PRELUDIUM 7 , Panel: ST6

    Principal investigator: dr Marek Andrzej Śmieja

    Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

  4. Methods for combining one-class classifiers

    Call: PRELUDIUM 5 , Panel: ST6

    Principal investigator: Bartosz Marcin Krawczyk

    Politechnika Wrocławska, Wydział Elektroniki

  5. Development of a tool for automatic evaluation of complexes of ligands with serotonin receptors based on the application...

    Call: PRELUDIUM 5 , Panel: NZ2

    Principal investigator: Sabina Marta Podlewska

    Instytut Farmakologii PAN

  6. Machine learning methods for complex networks

    Call: OPUS 5 , Panel: ST6

    Principal investigator: dr hab. Przemysław Ryszard Kazienko

    Politechnika Wrocławska, Wydział Informatyki i Zarządzania

  7. Multi-criteria methods for designing algorithms that learn combinatorial games strategies

    Call: SONATA 5 , Panel: ST6

    Principal investigator: dr Wojciech Maria Jaśkowski

    Politechnika Poznańska, Wydział Informatyki

  8. Interactive Visual Text Analytics (IVTA): Development of novel user-driven text mining and visualization methods for lar...

    Call: OPUS 5 , Panel: ST6

    Principal investigator: prof. Witold Dzwinel

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Informatyki, Elektroniki i Telekomunikacji

  9. Development of algorithms for all relevant feature selevtion using machine learning methods

    Call: OPUS 5 , Panel: ST6

    Principal investigator: dr hab. Witold Remigiusz Rudnicki

    Uniwersytet Warszawski, Interdyscyplinarne Centrum Modelowania Matematycznego i Komputerowego

  10. Compound data stream classification methods based on unsupervised and active learning

    Call: OPUS 5 , Panel: ST6

    Principal investigator: prof. Michał Wojciech Woźniak

    Politechnika Wrocławska, Wydział Elektroniki

  11. Selected Aspects of Scalability of Methods of Data Mining and Knowledge Discovery in Databases

    Call: OPUS 1 , Panel: ST6

    Principal investigator: dr hab. Dominik Antoni Ślęzak

    Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

  12. Smart growth and economic crisis in the European regional space - methods of measurement

    Call: OPUS 5 , Panel: HS4

    Principal investigator: prof. Danuta Strahl

    Uniwersytet Ekonomiczny we Wrocławiu, Wydział Ekonomii, Zarządzania i Turystyki

  13. The influence of molecular fingerprint bit density on chemical pattern recognition effectiveness

    Call: PRELUDIUM 2 , Panel: NZ2

    Principal investigator: Rafał Jerzy Kurczab

    Instytut Farmakologii PAN

  14. New methods for the automatic synthesis and exploration of sequential data

    Call: SONATA 2 , Panel: ST6

    Principal investigator: dr Radosław Ziembiński

    Politechnika Poznańska, Wydział Informatyki

  15. Integrative analysis of tRNA modification circuits and aminoacylation and their role in breast cancer model.

    Call: OPUS 29 , Panel: NZ2

    Principal investigator: dr Marcin Sajek

    Instytut Genetyki Człowieka PAN

  16. Local Causal Explainability of Machine Learning Models: Game-Theoretic Methods for Reliable Feature Attribution

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Mateusz Maciej Gajewski

    Politechnika Poznańska

  17. Advancing Curriculum Learning: from adaptive learning objectives to Kolmogorov-Arnold Networks

    Call: OPUS 29 , Panel: ST6

    Principal investigator: dr hab. Mikołaj Aleksander Morzy

    Politechnika Poznańska

  18. Identification of proteolytic cleavage sites in peptide substrates using coarse-grained docking and machine learning met...

    Call: OPUS 29 , Panel: NZ1

    Principal investigator: dr hab. Michał Koliński

    Instytut Medycyny Doświadczalnej i Klinicznej im. Mirosława Mossakowskiego PAN

  19. Design-ready forward and inverse surrogate modeling of high-frequency structures using deep learning and dimensionality ...

    Call: OPUS 29 , Panel: ST7

    Principal investigator: dr hab. Anna Pietrenko-Dąbrowska

    Politechnika Gdańska

  20. Research on spatial-temporal dynamics of ice and water temperature in the Vistula River based on ground observations, sa...

    Call: PRELUDIUM 24 , Panel: ST10

    Principal investigator: Maksymilian Fukś

    Instytut Geografii i Przestrzennego Zagospodarowania im. S. Leszczyckiego PAN

  21. Artificial intelligence in predicting treatment outcomes of abdominal cancers – implementation of machine learning and d...

    Call: SONATINA 9 , Panel: NZ7

    Principal investigator: dr Krzysztof Bartnik

    Politechnika Warszawska

  22. Exploring new infrared phosphors aided by machine learning

    Call: SONATA 20 , Panel: ST3

    Principal investigator: dr Tadeusz Franciszek Leśniewski

    Uniwersytet Gdański

  23. Design automation and simulation-driven optimization of high-frequency systems using machine learning

    Call: OPUS 28 , Panel: ST7

    Principal investigator: dr hab. Anna Pietrenko-Dąbrowska

    Politechnika Gdańska

  24. Selection of patient-specific aortic valve prosthesis by a hybrid technique that integrates CFDsimulations, machine lear...

    Call: SONATA BIS 14 , Panel: ST8

    Principal investigator: prof. Wojciech Piotr Adamczyk

    Politechnika Śląska

  25. Mobility Patterns and Social Hierarchies. A Bioarchaeological and Chronological Study of the Late Bronze Age and Hallsta...

    Call: SONATA BIS 14 , Panel: HS3

    Principal investigator: dr Anna Maria Józefowska-Domańska

    Instytut Archeologii i Etnologii Polskiej Akademii Nauk

  26. Overcoming forgetting in continual learning with an ensemble of experts

    Call: PRELUDIUM 23 , Panel: ST6

    Principal investigator: Grzegorz Rypeść

    IDEAS NCBR Sp. z o.o.

  27. Application of explainable artificial intelligence algorithms in order to improve imbalanced data methods

    Call: PRELUDIUM 23 , Panel: ST6

    Principal investigator: Weronika Tamara Węgier

    Politechnika Wrocławska

  28. Application of 3D modeling, micro and nano computed tomography and machine learning to optimization an energy-saving and...

    Call: OPUS 27 , Panel: ST8

    Principal investigator: prof. Robert Józef Filipek

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  29. Identification and measurement of systemic threats to the insurance sector resulting from climate risk in the light of s...

    Call: OPUS 27 , Panel: HS4

    Principal investigator: dr Anna Bronisława Denkowska

    UNIWERSYTET EKONOMICZNY W KRAKOWIE

  30. Addressing Data-Centric AI Challenges in Machine Learning with Advanced Sample-Selection Techniques

    Call: PRELUDIUM 23 , Panel: ST6

    Principal investigator: Mateusz Wojtulewicz

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  31. Application of deep learning methods in detection, classification and compensation of the measuring sensors faults in pe...

    Call: PRELUDIUM 23 , Panel: ST7

    Principal investigator: Kamila Anna Jankowska

    Politechnika Wrocławska

  32. A prelude to computational screening for non-cytotoxic, antibacterial ionic liquids (PreCompIL)

    Call: PRELUDIUM 23 , Panel: ST5

    Principal investigator: Kamila Jarzyńska

    Uniwersytet Gdański

  33. Explainability methods for machine learning models in static and evolving data

    Call: OPUS 26 , Panel: ST6

    Principal investigator: prof. Jerzy Maciej Stefanowski

    Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

  34. Machine Learning-Assisted Design of Metal Hydride Alloys for Hydrogen Applications using CALPHAD Predictive Modelling

    Call: M-ERA.NET 3 Call 2023 , Panel: ST3

    Principal investigator: dr hab. Łukasz Gondek

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  35. Learning the Physics of Dendrite Growth in Lithium-Ion Batteries: An Attention Mechanism Approach for Prevention and Mit...

    Call: OPUS 26 (LAP) , Panel: ST11

    Principal investigator: dr Anil Kunwar

    Politechnika Śląska, Wydział Mechaniczny Technologiczny

  36. VAMPIRE-AI: Visualisation and quAntification of Microvascular PerfusIon in Radiology and surgEry with Artificial Intelli...

    Call: Profesura NAWA 2022 , Panel: NZ7

    Principal investigator: prof. Ronald Jan Hendrik Borra

    Gdański Uniwersytet Medyczny

  37. Computational design of next generation rocket fuels based on hypergolic metal-organic frameworks

    Call: OPUS 26 , Panel: ST5

    Principal investigator: dr hab. Mihails Arhangelskis

    Uniwersytet Warszawski, Wydział Chemii

  38. Quantum sensors operating in extreme scenarios: novel applications of statistical inference, machine learning and contro...

    Call: SONATA BIS 13 , Panel: ST2

    Principal investigator: dr Jan Kołodyński

    Uniwersytet Warszawski, Centrum Nowych Technologii Uniwersytetu Warszawskiego

  39. Towards superhuman performance in solving complex reasoning problems with Advanced Subgoal Search

    Call: PRELUDIUM 22 , Panel: ST6

    Principal investigator: Michał Zawalski

    Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

  40. Acoustic Intelligence - towards self-supervised deep neural acoustic analysis

    Call: OPUS 25 , Panel: ST7

    Principal investigator: dr hab. Konrad Karol Kowalczyk

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Informatyki, Elektroniki i Telekomunikacji

  41. Deep-learning of the Arctic shallows—Computer vision applied to investigate benthic ecological succession

    Call: PRELUDIUM 22 , Panel: NZ8

    Principal investigator: Bernabé Moreno Leveroni

    Instytut Oceanologii PAN

  42. Detection and denoising of Gravitational Wave sources in Einstein Telescope using deep learning

    Call: PRELUDIUM 22 , Panel: ST9

    Principal investigator: Wathela Hamed Osman Alhassan

    Centrum Astronomiczne im. Mikołaja Kopernika PAN

  43. Improving the transferability of self-supervised learning models

    Call: PRELUDIUM 22 , Panel: ST6

    Principal investigator: Marcin Paweł Przewięźlikowski

    Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

  44. Meta-learning as a machine learning tool for experimental boosting of sorption properties of ionic liquids

    Call: PRELUDIUM 22 , Panel: ST5

    Principal investigator: Karol Daniel Baran

    Politechnika Gdańska

  45. Development of remote vision system for Cherenkov telescopes.

    Call: PRELUDIUM 22 , Panel: ST9

    Principal investigator: Paweł Gliwny

    Uniwersytet Łódzki, Wydział Fizyki i Informatyki Stosowanej

  46. Development of weak supervision methods for multispectral image processing in the field of precision agriculture

    Call: PRELUDIUM 22 , Panel: ST6

    Principal investigator: Przemysław Aszkowski

    Politechnika Poznańska, Wydział Automatyki, Robotyki i Elektrotechniki

  47. Multispectral fluorescence coupled with machine learning methods to identify food-related bacteria

    Call: PRELUDIUM 22 , Panel: ST4

    Principal investigator: Klaudia Maria Głowacz

    Politechnika Warszawska, Wydział Chemiczny

  48. Multimodal Deep Learning for Noninvasive Pulmonary Hypertension Diagnosis from Magnetic Resonance Imaging

    Call: PRELUDIUM 22 , Panel: ST6

    Principal investigator: Michał Kazimierz Grzeszczyk

    Sano - Centrum Zindywidualizowanej Medycyny Obliczeniowej - Międzynarodowa Fundacja Badawcza

  49. Meta-learning in Deep Neural Networks

    Call: OPUS 25 , Panel: ST6

    Principal investigator: prof. Jacek Tabor

    Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

  50. Introduction of machine learning algorithms to the prediction of in-flight feedstock thermophysical properties during su...

    Call: PRELUDIUM 22 , Panel: ST8

    Principal investigator: Tomasz Adrian Kiełczawa

    Politechnika Wrocławska

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