The Faculty of Mathematics and Natural Sciences: Search
Now showing items 111-120 of 124
Temporal Knowledge Graph Embedding and Reasoning
(2023-03-27)
Knowledge Graphs (KGs) have emerged as an efficient way to organize and represent knowledge by storing the underlying relations between entities. Recently, a large amount of research works have been devoted to KG embeddings, ...
Self-Supervised Video Representation Learning and Downstream Applications
(2023-05-12)
Video understanding is an important computer vision task with a great variety of different applications, such as autonomous driving, robotics and video surveillance. Much progress has recently been made on video understanding ...
Data Science with Foundation Models: An Evidence-Based, Comprehensive Project Methodology
(2024-05-23)
In the past decades, the interest in data science has surged across sectors and industries. Data science has been impacted by a series of paradigm shifts, such as the emergence of big data, cloud computing or the demand ...
Deep Learning for Causal Inference and Latent Dynamical Modeling in Biomedical Research
(2024-06-03)
Biological systems are ubiquitous, encompassing complex molecular networks governing single-cell organisms to expansive ecosystems profoundly impacting our planet's environment. In biology, the adoption of a systems approach ...
Efficient Perception and Forecasting for Autonomous Vehicles
(2024-04-29)
In recent years, autonomous driving vehicles have attracted a lot of attention. In autonomous driving, safety is the highest priority. To ensure this, scene understanding and motion forecasting play an important role in ...
Deep Representation Learning for Analyzing Financial and Cybersecurity Data
(2024-06-19)
Recent years have shown a surge in the capability of deep learning models for various domains of interest and different types of data. Machine learning models are now capable of understanding, categorizing and generating ...
Holistic Video Understanding: Spatio-Temporal Modeling and Efficiency
(2024-05-21)
Video understanding, a specialized area within computer vision, focuses on classifying human actions in video clips. The field has seen remarkable advancements, particularly with the introduction of 3D convolutional neural ...
Uncertainty Reduction in Diffusion Magnetic Resonance Imaging Tractography
(2024-04-04)
Diffusion Magnetic Resonance Imaging (dMRI) is currently the only non-invasive method capable of mapping the geometry and microstructure of major white matter tracts in vivo. This technique measures the movement of water ...
PDE-based Lossless Medical Image Compression
(2024-07-09)
In this dissertation, our scientific goal is to investigate the potential of Partial Differential Equations (PDEs) for designing a lossless medical image compression codec.
The dissertation consists mainly of ...
The dissertation consists mainly of ...
Semantic Feedback for Collaborative Perception with Smart Edge Sensors
(2024-08-23)
In this thesis, we develop a system for accurate semantic perception of 3D scene geometry, persons, and objects in robotic applications. We consider the limitations of interpreting only a single sensor view with restricted ...