In: Algorithms, 2021, vol. 14, no. 9, p. 25
Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred vertices. The use of Candidate Lists (CLs) has been brought up to cope with the issues. A CL is defined as a subset of all the edges linked to a given vertex such that it contains mainly edges that are believed to be...
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Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021ECO007.
I use empirical methods to forecast U.S. repeat-sales house price indices, to analyze Swiss long-run default rates and to investigate the role of country and industry effects on the downside risk of stock index returns.
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In: Flexible Services and Manufacturing Journal, 2015, vol. 27, no. 4, p. 534-560
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In: International Journal of Computer Vision, 2015, vol. 114, no. 2-3, p. 306-321
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In: Environmental Modeling & Assessment, 2015, vol. 20, no. 6, p. 571-581
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In: Mathematical Programming, 2015, vol. 154, no. 1-2, p. 29-53
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In: Chinese Annals of Mathematics, Series B, 2015, vol. 36, no. 5, p. 689-702
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In: Annals of Operations Research, 2015, vol. 232, no. 1, p. 41-64
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Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO006.
Solving large sparse linear systems is at the heart of many application problems arising from scientific and engineering problems. These systems are often solved by direct factorization solvers, especially when the system needs to be solved for multiple right-hand sides or when a high numerical precision is required. Direct solvers are based on matrix factorization, which is then followed by...
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In: WWW '20: Proceedings of The Web Conference 2020, 2020, vol. April, p. 1851-1862
Finding social influencers is a fundamental task in many online applications ranging from brand marketing to opinion mining. Existing methods heavily rely on the availability of expert labels, whose collection is usually a laborious process even for domain experts. Using open-ended questions, crowdsourcing provides a cost-effective way to find a large number of social influencers in a short...
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