Projects funded by the NCN

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447 projects found matching your search criteria :

  1. Training Data Identification in Large Generative Models

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Jan Dubiński

    Naukowa i Akademicka Sieć Komputerowa - Państwowy Instytut Badawczy

  2. Uncovering the Mysteries of MoE: Developing better understanding and performance of Mixture-of-Experts Transformers

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Maciej Kacper Pióro

    Instytut Podstawowych Problemów Techniki Polska Akademia Nauk

  3. Degradation of Lipids and Sterols in High-Temperature, Ozonated Environments - From Model Systems to Real Oils. Leveragi...

    Call: OPUS 29 , Panel: NZ9

    Principal investigator: prof. Małgorzata Anna Majcher

    Uniwersytet Przyrodniczy w Poznaniu

  4. Boosting Neural Network Efficiency by Examining Early Training Patterns

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Mateusz Piotr Pyla

    Uniwersytet Jagielloński

  5. 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

  6. Neurosymbolic Architectures for Unsupervised Learning of Explanatory Models

    Call: OPUS 29 , Panel: ST6

    Principal investigator: prof. Krzysztof Krawiec

    Politechnika Poznańska

  7. Amortized Causal Discovery via Prior-Fitted Networks

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Mateusz Kajetan Olko

    Uniwersytet Warszawski

  8. Study on Domain Adaptation in Neural Diagnostic Systems

    Call: PRELUDIUM 24 , Panel: ST8

    Principal investigator: Paweł Knap

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  9. Estimating the probability of glioma recurrence and the time of its occurrence using metabolomics, proteomics, and machi...

    Call: PRELUDIUM 24 , Panel: NZ5

    Principal investigator: Adrian Godlewski

    Uniwersytet Medyczny w Białymstoku

  10. Developing an AI algorithm for longitudinal tracking of post-treatment changes in brain metastases using a hybrid Uncert...

    Call: PRELUDIUM 24 , Panel: NZ7

    Principal investigator: Monika Żaneta Pytlarz

    Sano - Centrum Zindywidualizowanej Medycyny Obliczeniowej - Międzynarodowa Fundacja Badawcza

  11. Democratizing Diffusion Models: Guidance-Driven Optimization of Existing Models for Enhanced Quality and Diversity with ...

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Artur Kasymov

    Uniwersytet Jagielloński

  12. 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

  13. Editing of a 3D object represented by Gaussian Splatting

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Joanna Waczyńska

    Uniwersytet Jagielloński

  14. High-Spatial Resolution Electrical Capacitance Tomography

    Call: OPUS 29 , Panel: ST7

    Principal investigator: dr Damian Mateusz Wanta

    Politechnika Warszawska

  15. Temporal Hierarchies for electricity pRIce ForecasTing (THRIFT)

    Call: OPUS 29 , Panel: HS4

    Principal investigator: prof. Rafał Weron

    Politechnika Wrocławska

  16. Explanation of Pre-Trained deep learning models via Prototypes

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Piotr Borycki

    Uniwersytet Jagielloński

  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. Establishing a benchmarking platform for AI/ML predictive models for bioactivity and toxicity in agrochemistry.

    Call: OPUS 29 , Panel: ST4

    Principal investigator: dr hab. Paweł Aleksander Siedlecki

    Instytut Biochemii i Biofizyki PAN

  19. Development of a roughness model for drag prediction in minichannel flows using machine learning

    Call: OPUS 29 , Panel: ST8

    Principal investigator: prof. Włodzimierz Grzegorz Wróblewski

    Politechnika Śląska

  20. Answering unasked questions - digging transcriptomics data to identify transcriptional regulatory networks in Yarrowia l...

    Call: PRELUDIUM 24 , Panel: NZ9

    Principal investigator: Maria Elżbieta Gorczyca

    Uniwersytet Przyrodniczy w Poznaniu

  21. Efficiency and Adaptability through Compression of Large Language Models

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Maciej Stefaniak

    Uniwersytet Warszawski

  22. Integration of multi-source remote sensing data for landslide precursor detection

    Call: PRELUDIUM 24 , Panel: ST10

    Principal investigator: Katarzyna Januchta

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  23. Numerical Spines Research on Injury Severity Key-factors in Road Accidents nSPINE-RISK

    Call: PRELUDIUM 24 , Panel: ST8

    Principal investigator: Tomasz Wiczenbach

    Politechnika Gdańska

  24. Development of Analytical Protocols for Automated Quantification of Microvascular Dynamics in Retinal Imaging

    Call: PRELUDIUM 24 , Panel: ST7

    Principal investigator: Julia Alicja Kochańska

    Uniwersytet Mikołaja Kopernika

  25. Fungal Exosome-Like Nanovesicles as Modulators of Intestinal Barrier Function and Inflammatory Response: An Integrative ...

    Call: OPUS 29 , Panel: NZ3

    Principal investigator: prof. Anna Maria Witkowska

    Uniwersytet Medyczny w Białymstoku

  26. 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

  27. Analysis of the multiphase transformations of secondary organic aerosols using machine learning

    Call: OPUS 29 , Panel: ST10

    Principal investigator: prof. Tomasz Jan Gierczak

    Uniwersytet Warszawski

  28. Towards accurate universal machine learning potentials for electronic excited-state simulations

    Call: PRELUDIUM 24 , Panel: ST4

    Principal investigator: Mikołaj Jan Martyka

    Uniwersytet Warszawski

  29. Physics Informed Neural Networks with hierarchical matrices and Petrov-Galerkin method (HPG-PINN)

    Call: OPUS 29 , Panel: ST6

    Principal investigator: dr Tomasz Służalec

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  30. Multimodal learning for medical image analysis

    Call: OPUS 29 , Panel: ST6

    Principal investigator: dr Szymon Stefan Płotka

    Uniwersytet Jagielloński

  31. Flow Boiling Heat Transfer in Annular and Rectangular Minichannels Using Machine Learning-Based Modeling

    Call: OPUS 29 , Panel: ST8

    Principal investigator: prof. Magdalena Janina Piasecka

    POLITECHNIKA ŚWIĘTOKRZYSKA

  32. NMR Spectroscopy as Molecular Language: A Deep Learning Approach to Bioactivity Prediction

    Call: PRELUDIUM 24 , Panel: NZ7

    Principal investigator: Arkadiusz Bogumił Leniak

    Instytut Farmakologii PAN

  33. Novel neural representations for ultrasound imaging

    Call: OPUS 29 , Panel: ST7

    Principal investigator: dr hab. Michał Byra

    Instytut Podstawowych Problemów Techniki Polska Akademia Nauk

  34. 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

  35. Multi-geomodal representation learning for geographic transfer learning

    Call: SONATA 20 , Panel: ST6

    Principal investigator: dr Piotr Szymański

    Politechnika Wrocławska

  36. Ultra-high-throughput multimodal single-microbe profiling to study microbiomes.

    Call: OPUS 28 , Panel: NZ6

    Principal investigator: dr Marcin Tabaka

    Instytut Chemii Fizycznej Polskiej Akademii Nauk

  37. Enhancing Housing Market Transparency through Artificial Intelligence and Big Data

    Call: OPUS 28 , Panel: HS4

    Principal investigator: dr hab. Radosław Trojanek

    Uniwersytet Ekonomiczny w Poznaniu

  38. A potter or a glacier? The influence of the source material on the spatial differentiation of ceramics production in the...

    Call: OPUS 28 , Panel: HS3

    Principal investigator: prof. Andrzej Michałowski

    Uniwersytet im. Adama Mickiewicza w Poznaniu

  39. Thermodynamic modeling combined with new measurement techniques of the physicochemistry of liquid-liquid equilibrium in ...

    Call: OPUS 28 , Panel: ST4

    Principal investigator: dr hab. Mirosław Adam Chorążewski

    UNIWERSYTET ŚLĄSKI

  40. Exploring new infrared phosphors aided by machine learning

    Call: SONATA 20 , Panel: ST3

    Principal investigator: dr Tadeusz Franciszek Leśniewski

    Uniwersytet Gdański

  41. 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

  42. Probabilistic Methods for Plausibility, Robustness, and Diversity in Counterfactual Explanations

    Call: OPUS 28 , Panel: ST6

    Principal investigator: dr hab. Maciej Mateusz Zięba

    Politechnika Wrocławska

  43. Sustainable event-based vision for scene perception and understanding by autonomous robots

    Call: OPUS 28 , Panel: ST6

    Principal investigator: prof. Bogdan Kwolek

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  44. Recognition of multi-modal patterns in full-slide histopathological images using large vision and language models.

    Call: OPUS 28 , Panel: ST6

    Principal investigator: prof. Bogusław Antoni Cyganek

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  45. High-precision theoretical spectroscopy of core-excited and core-ionized electronic states

    Call: OPUS 28 , Panel: ST4

    Principal investigator: dr Wojciech Skomorowski

    Uniwersytet Warszawski

  46. Multimodal Geometric Deep Learning in Medical Image Analysis

    Call: SONATA 20 , Panel: ST6

    Principal investigator: dr Marek Michał Wodziński

    Sano - Centrum Zindywidualizowanej Medycyny Obliczeniowej - Międzynarodowa Fundacja Badawcza

  47. Calculus of variation for Machine Learning Problems

    Call: OPUS 28 , Panel: ST6

    Principal investigator: dr hab. Błażej Grzegorz Miasojedow

    Uniwersytet Warszawski

  48. GENIE-MRI: Generative Neural Networks for Image Exchange in breast MRI

    Call: SONATA 20 , Panel: ST6

    Principal investigator: dr Andrzej Liebert

    Instytut Podstaw Informatyki PAN

  49. CARET: Context-Aware Interpretation of Human Actions for Implementation in Assistive Robotics

    Call: SONATA 20 , Panel: ST7

    Principal investigator: dr Vibekananda Dutta

    Politechnika Warszawska

  50. SWIFT – In-depth study of the sustainable conversion of organic waste fraction into bio-oils by fermentation technology ...

    Call: SONATA 20 , Panel: ST8

    Principal investigator: dr Anna Duber

    Politechnika Poznańska

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