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Mechanism-based Stratification of Alzheimer's and Parkinson's Disease using Artificial Intelligence
(2021-03-29)
The capacity to generate omics and clinical data in biomedical science is growing exponentially over the past decades. Additionally, recent advances in computational power and analyzing capabilities have resulted in ...
Machine Learning to Elucidate Mechanisms of Human Cognition and Epilepsy
(2020-11-25)
Machine learning approaches, a branch of computer science based on the study of complex statistical algorithms, help researchers predict and discover facts about the outside world that may otherwise be too latent and ...
Online Scheduling-Spiele
(2021-02-08)
Ziel dieser Arbeit ist die Modellierung von online Scheduling-Spielen. Es gibt viele verschiedene Arten von Scheduling-Problemen. Wir betrachten Probleme, bei denen eine Menge von Jobs Maschinen zugewiesen werden müssen. ...
Enriching Text-Based Human-Machine Interactions with Additional World Knowledge
(2022-09-19)
In the last decade, the world has witnessed a massive upheaval in intelligent systems' design and development, especially for systems that can interact with humans. Such systems, capable of real-time interaction with end ...
Next-generation phenotyping for rare Mendelian disorders
(2022-08-31)
Worldwide, rare genetic disorders affect more than 6.2% of the population. The long diagnostic process is often called the ‘diagnostic odyssey.’ With the recent advances in computer vision, many next-generation phenotyping ...
Classification, Characterization, and Contextualization of Windows Malware using Static Behavior and Similarity Analysis
(2022-07-05)
In this dissertation, we provide a comprehensive malware ground truth data set called Malpedia that is tailored towards demands that serve both academic research and practical malware analysis. Using Malpedia as a foundation, ...
People-Tracking-Verfahren zur autonomen Identifikation und Begleitung von Personen durch mobile Roboter
(2020-08-06)
Die vorliegende Arbeit untersucht die Verfolgung, d.h. die kontinuierliche Schätzung der Position von sich bewegenden Objekten, insbesondere von Personen, in der Umgebung eines mobilen Roboters durch diesen selbst mit Hilfe ...
Approximate Inference Applications to Representation Learning and Stochastic Processes Problems
(2021-04-07)
The present dissertation dwells in the development of inference algorithms and methodologies for the study of dynamical datasets. We developed techniques to analyze time-series datasets for point processes, switching ...
Modelling Complex Activities from Visual and Textual Data
(2021-07-23)
Complex activity videos are long-range videos composed of multiple sub-activities following some temporal structuring and connected purpose. Recognizing human activities in such videos is a long-standing goal with a broad ...
Towards Semantic Integration of Supply Chain and Production Data
(2020-11-06)
Data is a critical ingredient for many analyses. Its recent exponential growth allowed utilizing computers to solve previously considered hard problems. For organizations and entire economies, being able to solve harder ...