Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Juan C. Burguillo"'
Autor:
Elias Fernández Domingos, Inês Terrucha, Rémi Suchon, Jelena Grujić, Juan C. Burguillo, Francisco C. Santos, Tom Lenaerts
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Home assistant chat-bots, self-driving cars, drones or automated negotiation systems are some of the several examples of autonomous (artificial) agents that have pervaded our society. These agents enable the automation of multiple tasks, sav
Externí odkaz:
https://doaj.org/article/8b20862f0a394bd8b710230439717819
Autor:
Elias Fernández Domingos, Jelena Grujić, Juan C. Burguillo, Georg Kirchsteiger, Francisco C. Santos, Tom Lenaerts
Publikováno v:
iScience, Vol 23, Iss 12, Pp 101752- (2020)
Summary: Social dilemmas are often shaped by actions involving uncertain returns only achievable in the future, such as climate action or voluntary vaccination. In this context, uncertainty may produce non-trivial effects. Here, we assess experimenta
Externí odkaz:
https://doaj.org/article/45e68bca54c74fbd87d18d0a276fb63f
Publikováno v:
Wireless Networks.
Anomaly detection in industrial control and cyber-physical systems has gained much attention over the past years due to the increasing modernisation and exposure of industrial environments. Current dangers to the connected industry include the theft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d87795802593caeff21d9d6487855280
https://doi.org/10.1007/s11276-022-03214-3
https://doi.org/10.1007/s11276-022-03214-3
Publikováno v:
Information Systems and Technologies ISBN: 9783031048258
Collaborative filtering is a widely used recommendation technique, which often relies on rating information shared by users, i.e., crowdsourced data. These filters rely on predictive algorithms, such as, memory or model based predictors, to build dir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06ca49acc5b2d109aa969816e44804de
https://hdl.handle.net/11328/4147
https://hdl.handle.net/11328/4147
Autor:
Elias Fernández Domingos, Jelena Grujić, Juan C. Burguillo, Tom Lenaerts, Francisco C. Santos
Publikováno v:
The 2021 Conference on Artificial Life.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5067cf4a021e84ec32fa0e9e79f535f9
https://doi.org/10.1162/isal_a_00438
https://doi.org/10.1162/isal_a_00438
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030726560
WorldCIST (1)
WorldCIST (1)
Crowdsourced data streams are continuous flows of data generated at high rate by users, also known as the crowd. These data streams are popular and extremely valuable in several domains. This is the case of tourism, where crowdsourcing platforms rely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8023c324d5a86628145a79eced60aae7
https://doi.org/10.1007/978-3-030-72657-7_25
https://doi.org/10.1007/978-3-030-72657-7_25
Publikováno v:
Lecture Notes in Management and Industrial Engineering ISBN: 9783030544096
Particle Swarm Optimization algorithms (or PSO) have been widely studied in the Literature. It is known that they provide highly competitive results. However, they suffer from fast convergence to local optima. There exist works proposing the swarm de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::581fcd228b6fd2b2f044638595d1c4ce
https://doi.org/10.1007/978-3-030-54410-2_37
https://doi.org/10.1007/978-3-030-54410-2_37
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Online tourism crowdsourcing platforms, such as AirBnB, Expedia or TripAdvisor, rely on the continuous data sharing by tourists and businesses to provide free or paid value-added services. When adequately processed, these data streams can be used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b6dbd0087de6ed9c52cd5fbf0b6cdf8
Tourism crowdsourcing platforms accumulate and use large volumes of feedback data on tourism-related services to provide personalized recommendations with high impact on future tourist behavior. Typically, these recommendation engines build individua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3ed75538a079298f3eae8c8fb568d1b
https://hdl.handle.net/11328/4051
https://hdl.handle.net/11328/4051
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Wiki-based crowdsourced data sources generally lack reliability, as their provenance is not intrinsically marshalled. By using recommendation, one may arguably assess the reliability of wiki-based repositories in order to identify the most interestin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7ee692c6da33a3c9f4d18523e32cb62
https://hdl.handle.net/11328/4052
https://hdl.handle.net/11328/4052