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Learning Universal Visual Representation with Limited Supervision (GM21-28830M)
of the representation space in semi-supervised and active learning. of the project is to propose new ways for designing and learning universal multi-purpose. Representation models will be trained with deep learning
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2021 - 2025 •
- 19 677 tis. Kč •
- 19 677 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2021 - 31. 12. 2025
Uznané náklady
Podpora ze státního rozpočtu (100%)
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 learning<...
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
End-to-end differentiable physics-aware architectures for self-supervised learning in robotics (GA24-12360S)
achieved through supervised learning on a human-annotated data that cannot to be tuned/learned simultaneously in order to avoid undesirable interference among) by designing novel differentiable solutions and self-super...
Robotics and automatic control
- 2024 - 2026 •
- 11 225 tis. Kč •
- 11 225 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2024 - 31. 12. 2026
Uznané náklady
Podpora ze státního rozpočtu (100%)
Poskytovatel: Grantová agentura České republiky
Artificial Evolution and Emergence of Intelligence in Complex Systems (LL2405)
supervision. As a result, learning can be understood as an emergent phenomenonThe ARTEMIS project will develop weakly supervised approaches for building machine learning models based on principles inspired by the ...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2024 - 2026 •
- 20 360 tis. Kč •
- 12 216 tis. Kč •
- MŠMT
Řešení projektu: 1. 10. 2024 - 30. 9. 2026
Uznané náklady
Podpora ze státního rozpočtu (60%)
Poskytovatel: Ministerstvo školství, mládeže a tělovýchovy
Robotic Lifelong Learning of Multi-legged Robot Locomotion Control in Autonomous Data Collection Missions (GA18-18858S)
. Within the project, we will investigate self-supervised incremental on-line learning algorithms for terrain learning and traversability assessment together with locomotionThe proposed project aims to contribute to the fie...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2018 - 2023 •
- 5 668 tis. Kč •
- 4 616 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2018 - 31. 12. 2023
Uznané náklady
Podpora ze státního rozpočtu (81%)
Poskytovatel: Grantová agentura České republiky
Sentence structure induction without annotated corpora (GP14-06548P)
of computational linguistics. At present, the use of supervised approaches that need a large number of syntactically annotated corpora (treebanks) to learn the syntax of language on an alternative method. The syntactic relations wi...
AI - Jazykověda
- 2014 - 2016 •
- 1 411 tis. Kč •
- 1 411 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2014 - 31. 12. 2016
Uznané náklady
Podpora ze státního rozpočtu (100%)
Poskytovatel: Grantová agentura České republiky
Temporal context in analysis of long-term non-stationary multidimensional signal (GA17-20480S)
supervised machine learning method. The proposed research aims to answer three mainThe project focuses on temporal context aware approaches in active learning. We or generation can make the active learning more ef...
JD - Využití počítačů, robotika a její aplikace
- 2017 - 2021 •
- 6 144 tis. Kč •
- 4 929 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2017 - 31. 12. 2021
Uznané náklady
Podpora ze státního rozpočtu (80%)
Poskytovatel: Grantová agentura České republiky
Hierarchical models for detection and description of anomalies (GA18-21409S)
and hierarchies. This is in sharp contrast to the area of supervised classification, where to supervised classification is the need to recognise rare samples, the core of the work......
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2018 - 2021 •
- 9 663 tis. Kč •
- 8 862 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2018 - 31. 12. 2021
Uznané náklady
Podpora ze státního rozpočtu (92%)
Poskytovatel: Grantová agentura České republiky
Dynamic Inverse Problems in Time-Lapse Microscopy (GA25-15933S)
, the creation of self-supervised learned models that circumvent the need for extensive...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2025 - 2027 •
- 9 464 tis. Kč •
- 9 421 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2025 - 31. 12. 2027
Uznané náklady
Podpora ze státního rozpočtu (100%)
Poskytovatel: Grantová agentura České republiky
Complex prediction models and their learning from weakly annotated data (GA19-21198S)
Learning predictors from examples is a dominant sub-domain of machine learning but they are learned automatically from a training set of examples. The prevalent approach used nowadays are supervised methods which r...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2019 - 2022 •
- 4 052 tis. Kč •
- 4 052 tis. Kč •
- GA ČR
Řešení projektu: 1. 1. 2019 - 30. 6. 2022
Uznané náklady
Podpora ze státního rozpočtu (100%)
Poskytovatel: Grantová agentura České republiky
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