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Probabilistic Graphical Models and Deep Learning (GA16-05872S)
Machine learning is very popular today both in academia and industry, as part of artificial intelligence that actually "works". Graphical models and deep learning are two paradigms in machine learning<...
IN - Informatika
- 2016 - 2018 •
- 5 303 tis. Kč •
- 4 262 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2016 - 31. 12. 2018
Uznané náklady
Podpora ze státního rozpočtu (80%)
Poskytovatel: Grantová agentura České republiky
Uncertainty Quantification for Machine Learning Models Applied to Photoplethysmography Signals (9B23006)
The overall objective is to provide trustworthy machine learning models for analysing photoplethysmography signals in a medical context, by developing methods for the quantification of uncertainty in supervised machine ...
Cell biology
- 2023 - 2026 •
- 4 344 tis. Kč •
- 2 172 tis. Kč •
- MŠMT
Řešení projektu: 1. 7. 2023 - 30. 6. 2026
Uznané náklady
Podpora ze státního rozpočtu (50%)
Poskytovatel: Ministerstvo školství, mládeže a tělovýchovy
Deep relational learning (GA17-26999S)
We propose to develop methods for deep learning from structured data the ability of deep learning to create systems of relevant auxiliary concepts analogies of deep learning techniques in the pure...
JD - Využití počítačů, robotika a její aplikace
- 2017 - 2019 •
- 5 125 tis. Kč •
- 4 369 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2017 - 31. 12. 2019
Uznané náklady
Podpora ze státního rozpočtu (85%)
Poskytovatel: Grantová agentura České republiky
Taming the tail risks in financial markets with data-driven methods (GA24-11555S)
The project will develop a new family of models for identification of tail risks in financial markets from possibly large datasets using deep learning character and will open number of questions. Specifically, we aim to explore how ...
Applied Economics, Econometrics
- 2024 - 2026 •
- 6 606 tis. Kč •
- 6 606 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2024 - 31. 12. 2026
Uznané náklady
Podpora ze státního rozpočtu (100%)
Poskytovatel: Grantová agentura České republiky
Multilingual Machine Translation (GA18-24210S)
Machine translation (MT) has experienced a major paradigm shift in 2016 and now it builds upon methods of deep learning. Neural MT (NMT) improved translation quality for many language pairs and it offers, i.a., multilingual...
Linguistics
- 2018 - 2022 •
- 2 593 tis. Kč •
- 2 146 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2018 - 31. 12. 2022
Uznané náklady
Podpora ze státního rozpočtu (83%)
Poskytovatel: Grantová agentura České republiky
Game Over Eva(sion) Securing Deep Learning with Game Theory (GF19-29680L)
Machine learning methods have penetrated our daily life without us even of attacks has stimulated an establishment of a new field called adversarial machine learning, which is nowadays popular due to small robustne...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2019 - 2022 •
- 3 197 tis. Kč •
- 2 754 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2019 - 30. 6. 2022
Uznané náklady
Podpora ze státního rozpočtu (86%)
Poskytovatel: Grantová agentura České republiky
Enhanced pre-surgical evaluation in drug-resistant epilepsy using machine/deep learning models (NU22-08-00278)
extraction algorithms including machine learning and deep learning techniquesSurgical removal of the epileptogenic tissue or implantation of a stimulation device represents the best chance for patients with pharma...
Clinical neurology
- 2022 - 2025 •
- 7 865 tis. Kč •
- 7 865 tis. Kč •
- MZ
Řešení projektu: 1. 5. 2022 - 31. 12. 2025
Uznané náklady
Podpora ze státního rozpočtu (100%)
Poskytovatel: Ministerstvo zdravotnictví
Compositional Architectures for Pattern Recognition (GA19-09967S)
Artificial neural networks nowadays enjoy a renaissance under the name deep learning. It was ignited by the unexpected discovery that deep enough networks trained realized this, one can consider other compositional mach...
Robotics and automatic control
- 2019 - 2022 •
- 7 127 tis. Kč •
- 7 127 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2019 - 30. 6. 2022
Uznané náklady
Podpora ze státního rozpočtu (100%)
Poskytovatel: Grantová agentura České republiky
Targeting protein cryptic binding sites with machine learning (GA23-07349S)
propose a sequence-based deep learning solution for CBS detection which uses, a substantial contribution to both bioinformatics and machine learning research......
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2023 - 2025 •
- 7 346 tis. Kč •
- 6 860 tis. Kč •
- GA ČR
Řešení projektu: 1. 3. 2023 - 31. 12. 2025
Uznané náklady
Podpora ze státního rozpočtu (93%)
Poskytovatel: Grantová agentura České republiky
Neural Representations in Multi-modal and Multi-lingual Modeling (GX19-26934X)
The NEUREM3 project encompasses basic research in speech processing (SP) and natural language processing (NLP) with accent on multi-linguality and multi-modality (speech and text processing with the support of visual information). Current deep
Linguistics
- 2019 - 2023 •
- 47 431 tis. Kč •
- 47 431 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2019 - 31. 12. 2023
Uznané náklady
Podpora ze státního rozpočtu (100%)
Poskytovatel: Grantová agentura České republiky
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