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Semantic image segmentation and automated structure picking from acoustic televiewer images
(2024)Master Thesis -
SFGNets: Machine Learning Tools for SuperFGD Neutrino Detector
(2024)Image processing techniques powered by Machine Learning are revolutionizing the field of data analysis from particle physics detectors, as they allow powerful methods developed jointly in academia and in the industry to disentangle the complex data that detectors observe. Superimposed tracks of multiple particles, with cross-talk and noise, lead to intricacies that traditional methods such as likelihood-based Bayesian approaches can fail ...Master Thesis -
Fast and Simple Sorting Using Partial Information
(2024)We consider the problem of sorting n totally ordered items by doing binary comparisons, given a list of m comparisons that have already been performed. This problem has been called sorting under partial information, and it has been intensely studied since 1976. We propose a simple algorithm that solves this problem in O(log T) comparisons and O(log T + n + m) time, where T is the number of total orders consistent with the pre-existing ...Master Thesis -
The impact of geological boundaries and tunnels in large scale hydrogeological modelling: A case study from the Pizzo Rotondo area
(2024)Understanding the groundwater system in the region around the Pizzo Rotondo is important for the geothermal, seismic and geobiological research done by ETH Zurich in the “Bedretto Under- ground Laboratory for Geosciences and Geoenergies” (BULGG) which is located in the Bedretto tunnel below the Pizzo Rotondo. For this reason, a large-scale hydrogeological model was created for the region around the Pizzo Rotondo. A conceptual model ...Master Thesis -
Markov Modelling of Soccer Matches and Learning of Game States' Potential
(2024)In soccer, the modelling of the game as a Markov process became natural due to the sequential nature of the sport: the game transitions from a situation to another. This modelling enable to get a better understanding of aspects of interest of the game. In particular, it creates a framework for assessing the likelihood of a team to score (and to concede) within the near future given the current state of the game. The difference between the ...Master Thesis -
Acceptance of the Reduction of Public Parking Space in Urban Residential Areas
(2024)Streets cover large parts of a city and are important public spaces. Although their design should aim at the well-being of all inhabitants, car drivers continue to be prioritised at the expense of other groups of the population. To promote more sustainable transportation and enhance urban quality of life, it is essential to reallocate street space to alternative modes of transportation and infrastructure. While scientists are unanimous ...Master Thesis -
Exploring factors influencing public acceptance of 30 km/h zones in a Swiss agglomeration town
(2024)30 km/h zones are increasingly being introduced worldwide. As a traffic calming measure, their main goals are increasing road safety and improving the local quality of stay. Despite the academic consensus on the policy’s benefits, implementations often face resistance from the public. Based on the analysis of a survey on public acceptance of 30 km/h zones (including a choice-based conjoint experiment), this Master’s thesis examines how ...Master Thesis -
EgoPressure: A Dataset for Hand Pressure and Pose Estimation in Egocentric Vision
(2024)Master Thesis -
Optimizing Data-Centric Applications - A Machine Learning Approach to Optimizations in DaCe
(2024)Program optimization is an increasingly important task due to the diverse range of hardware platforms available today. Manually finding code transformations that optimize the performance of programs is time-consuming and requires domain-specific expertise. Some compiler frameworks therefore resort to heuristics in combination with automatic optimization techniques that utilize machine learning-based cost models to predict how well code ...Master Thesis