Zobrazeno 1 - 10
of 577
pro vyhledávání: '"Glavič, P."'
We introduce an efficient method for learning linear models from uncertain data, where uncertainty is represented as a set of possible variations in the data, leading to predictive multiplicity. Our approach leverages abstract interpretation and zono
Externí odkaz:
http://arxiv.org/abs/2405.18549
This paper considers an incremental Volt/Var control scheme for distribution systems with high integration of inverter-interfaced distributed generation (such as photovoltaic systems). The incremental Volt/Var controller is implemented with the objec
Externí odkaz:
http://arxiv.org/abs/2405.02511
Autor:
Zubayer, A., Ghafoor, N., Glavic, A., Stahn, J., Lorentzon, M., Febvrier, A. Le, Eklund, P., Birch, J., Eriksson, F.
Polarized neutron scattering is a very important analysis technique for studies of magnetism, spintronics, and high-sensitivity measurements, among others, offering invaluable information. Yet, the efficiency of such experiments rely on the performan
Externí odkaz:
http://arxiv.org/abs/2404.04930
Autor:
Zubayer, A., Ghafoor, N., Thorarinsdottir, K. A., Glavic, A., Stahn, J., Nagy, G., Vorobiev, A., Magnus, F., Birch, J., Eriksson, F.
The concept of scattering length density tuning for improved polarization is investigated for Fe/11B4CTi multilayers and compared to the commonly used Fe/Si system in polarizing multilayer neutron optics. X-ray and neutron reflectivity, magnetization
Externí odkaz:
http://arxiv.org/abs/2404.04107
Autor:
Zubayer, A., Ghafoor, N., Thórarinsdóttir, K. A., Stendahl, S., Glavic, A., Stahn, J., Nagy, G., Greczynski, G., Schwartzkopf, M., Febvrier, A. Le, Eklund, P., Birch, J., Magnus, F., Eriksson, F.
The utilization of polarized neutrons is of great importance in scientific disciplines spanning materials science, physics, biology, and chemistry. Polarization analysis offers insights into otherwise unattainable sample information such as magnetic
Externí odkaz:
http://arxiv.org/abs/2308.07630
Uncertainty arises naturally inmany application domains due to, e.g., data entry errors and ambiguity in data cleaning. Prior work in incomplete and probabilistic databases has investigated the semantics and efficient evaluation of ranking and top-k
Externí odkaz:
http://arxiv.org/abs/2302.08676
In this work, we study the problem of computing a tuple's expected multiplicity over probabilistic databases with bag semantics (where each tuple is associated with a multiplicity) exactly and approximately. We consider bag-TIDBs where we have a boun
Externí odkaz:
http://arxiv.org/abs/2204.02758
We introduce historical what-if queries, a novel type of what-if analysis that determines the effect of a hypothetical change to the transactional history of a database. For example, "how would revenue be affected if we would have charged an addition
Externí odkaz:
http://arxiv.org/abs/2203.12860
A wide variety of fairness metrics and eXplainable Artificial Intelligence (XAI) approaches have been proposed in the literature to identify bias in machine learning models that are used in critical real-life contexts. However, merely reporting on a
Externí odkaz:
http://arxiv.org/abs/2112.09745
Database systems analyze queries to determine upfront which data is needed for answering them and use indexes and other physical design techniques to speed-up access to that data. However, for important classes of queries, e.g., HAVING and top-k quer
Externí odkaz:
http://arxiv.org/abs/2104.12815