Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Beinat, Euro"'
Multi-target CNN-LSTM regressor for predicting urban distribution of short-term food delivery demand
Publikováno v:
In Journal of Business Research May 2022 144:844-853
We present and test a sequential learning algorithm for the short-term prediction of human mobility. This novel approach pairs the Exponential Weights forecaster with a very large ensemble of experts. The experts are individual sequence prediction al
Externí odkaz:
http://arxiv.org/abs/1510.06582
Autor:
Hawelka, Bartosz, Sitko, Izabela, Beinat, Euro, Sobolevsky, Stanislav, Kazakopoulos, Pavlos, Ratti, Carlo
In the advent of a pervasive presence of location sharing services researchers gained an unprecedented access to the direct records of human activity in space and time. This paper analyses geo-located Twitter messages in order to uncover global patte
Externí odkaz:
http://arxiv.org/abs/1311.0680
The food delivery market has increased rapidly in the last few years, becoming a well-established reality in the business world and a common feature of urban life. Food delivery platforms provide the end-to-end services that connect restaurants with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::c3087699f6089c70a7e6139933f5129f
https://eplus.uni-salzburg.at/doi/10.1016/j.jbusres.2022.02.039
https://eplus.uni-salzburg.at/doi/10.1016/j.jbusres.2022.02.039
Publikováno v:
Encyclopedia of Global Change, 1 ed., 2005, ill.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780195108255.001.0001/acref-9780195108255-e-0265
Autor:
Crivellari, Alessandro, Beinat, Euro
Publikováno v:
Mathematics, Vol 8, Iss 2233, p 2233 (2020)
Mathematics
Volume 8
Issue 12
Mathematics
Volume 8
Issue 12
Monitoring the distribution of vehicles across the city is of great importance for urban traffic control. In particular, information on the number of vehicles entering and leaving a city, or moving between urban areas, gives a valuable estimate on po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::aa54574fe491ca0d9c5cf53802c82e03
https://www.mdpi.com/2227-7390/8/12/2233
https://www.mdpi.com/2227-7390/8/12/2233
Autor:
Crivellari, Alessandro, Beinat, Euro
The increasing availability of trajectory recordings has led to the mining of a massive amount of historical track data, allowing for a better understanding of travel behaviors by revealing meaningful motion patterns. In the context of human mobility
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::da94b36a36a31da6f465a294c80a9233
https://eplus.uni-salzburg.at/doi/10.3390/su12010349
https://eplus.uni-salzburg.at/doi/10.3390/su12010349
Autor:
Crivellari, Alessandro, Beinat, Euro
Neural machine translation is a prominent field in the computational linguistics domain. By leveraging the recent developments of deep learning, it gave birth to powerful algorithms for translating text from one language to another. This study aims t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::125e60da7c7ec2ed7344cb7d8212d958
https://eplus.uni-salzburg.at/doi/10.3390/s20123503
https://eplus.uni-salzburg.at/doi/10.3390/s20123503