Thèse de doctorat : Università della Svizzera italiana, 2022 ; 2022INF001.
Dynamical systems have been used to describe a vast range of phenomena, including physical sciences, biology, neurosciences, and economics just to name a few. The development of a mathematical theory for dynamical systems allowed researchers to create precise models of many phenomena, predicting their behaviors with great accuracy. For many challenges of dynamical systems, highly accurate...
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Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO013.
Recent years have seen the rapid growth in interest towards fractional calculus. Fractional calculus plays an important role in modelling anomalous diffusion phenomena, however closed-form analytical solutions of such equations are rarely available, hence numerical estimates are needed. In this thesis we consider various fractional diffusion equations (FDEs), where different fractional ...
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Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO009.
Advances on psycho-linguistics have evidenced that the ways in which people use words could act as a reliable source to assess a wide array of behaviours. Language use acts as an indicator of the individuals’ current mental state, personality and even personal values. In this thesis, we focus on language analysis to study two closely related processes which encompass integral components of...
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In: The European Physical Journal B, 2015, vol. 88, no. 3, p. 1-12
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In: Systematic Biology, 2018, vol. 67, no. 3, p. 458-474
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In: Frontiers in Earth Science, 2021, vol. 9, p. 645596
The Opalinus Clay is notable in Switzerland as being the selected host rock for deep geological disposal of radioactive waste. Since the early 1990’s, this argillaceous mudstone formation of Jurassic age has been intensively studied within the framework of national and international projects to characterize its geological, hydrological, mechanical, thermal, chemical, and biological...
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In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020, p. 2184-2190
Location prediction is a key problem in human mobility modeling, which predicts a user's next location based on historical user mobility traces. As a sequential prediction problem by nature, it has been recently studied using Recurrent Neural Networks (RNNs). Due to the sparsity of user mobility traces, existing techniques strive to improve RNNs by considering spatiotemporal contexts. The...
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In: Journal of Economic Behavior and Organization, 2019, vol. 166, p. 366-380
Work and trade relationships are often governed by relational contracts, in which incentives for cooperative action today stem from the prospective future benefits of the relationship. In this paper, we study how a lack of hard information about the costs of providing quality, and therefore about the financial consequences of actions, affects relational contracts in buyer-seller...
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In: Proceedings of the VLDB Endowment, 2020, vol. 13, no. 5, p. 768-782
Recording sensor data is seldom a perfect process. Failures in power, communication or storage can leave occasional blocks of data missing, affecting not only real-time monitoring but also compromising the quality of near- and off-line data analysis. Several recovery (imputation) algorithms have been proposed to replace missing blocks. Unfortunately, little is known about their relative...
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In: Questions vives, 2019, no. 31, p. 1-19
Afin de construire des liens entre théorie et pratique et développer leurs capacités autoévaluatives et leur réflexivité, les étudiants de la Haute école pédagogique de Fribourg (HEPFR) doivent élaborer un dossier d’apprentissage (DAP). Ainsi, ils sont incités à collecter des traces (photos, vidéos, papier) de leurs activités (en particulier lorsqu’ils sont en stage sur le...
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