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Bruno Veloso
Bruno Veloso
INESC Tec | UPT | FEP - UP
Verified email at inesctec.pt
Title
Cited by
Cited by
Year
Self hyper-parameter tuning for data streams
B Veloso, J Gama, B Malheiro
International Conference on Discovery Science, 241-255, 2018
282018
Distributed trust & reputation models using blockchain technologies for tourism crowdsourcing platforms
B Veloso, F Leal, B Malheiro, F Moreira
Procedia computer science 160, 457-460, 2019
252019
Brokerage Platform for Media Content Recommendation
B Veloso, B Malheiro, JC Burguillo
International Journal of Applied Mathematics and Computer Science 25 (3 …, 2015
222015
On-line guest profiling and hotel recommendation
BM Veloso, F Leal, B Malheiro, JC Burguillo
Electronic Commerce Research and Applications 34, 100832, 2019
162019
Scalable modelling and recommendation using wiki-based crowdsourced repositories
F Leal, BM Veloso, B Malheiro, H González-Vélez, JC Burguillo
Electronic Commerce Research and Applications 33, 100817, 2019
162019
Scalable data analytics using crowdsourced repositories and streams
B Veloso, F Leal, H González-Vélez, B Malheiro, JC Burguillo
Journal of Parallel and Distributed Computing 122, 1-10, 2018
122018
Personalised fading for stream data
B Veloso, B Malheiro, JC Burguillo, J Foss
Proceedings of the Symposium on Applied Computing, 870-872, 2017
112017
Trust and reputation smart contracts for explainable recommendations
F Leal, B Veloso, B Malheiro, H González-Vélez
World Conference on Information Systems and Technologies, 124-133, 2020
102020
Improving student engagement with Project-Based Learning: A case study in Software Engineering
P Morais, MJ Ferreira, B Veloso
IEEE Revista Iberoamericana de Tecnologias del Aprendizaje 16 (1), 21-28, 2021
82021
Responsible processing of crowdsourced tourism data
F Leal, B Malheiro, B Veloso, JC Burguillo
Journal of Sustainable Tourism 29 (5), 774-794, 2020
82020
A 2020 perspective on “Online guest profiling and hotel recommendation”: Reliability, Scalability, Traceability and Transparency
BM Veloso, F Leal, B Malheiro, JC Burguillo
Electronic Commerce Research and Applications 40, 100957, 2020
82020
Self hyper-parameter tuning for stream recommendation algorithms
B Veloso, J Gama, B Malheiro, J Vinagre
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
82018
Personalised advertising supported by agents
B Veloso, L Sousa, B Malheiro
Distributed Computing and Artificial Intelligence, 473-481, 2013
82013
Hyperparameter self-tuning for data streams
B Veloso, J Gama, B Malheiro, J Vinagre
Information Fusion 76, 75-86, 2021
72021
Federated iaas resource brokerage
B Veloso, F Meireles, B Malheiro, JC Burguillo
Developing Interoperable and Federated Cloud Architecture, 252-280, 2016
52016
AutoML for stream k-nearest neighbors classification
M Bahri, B Veloso, A Bifet, J Gama
2020 IEEE International Conference on Big Data (Big Data), 597-602, 2020
42020
Self hyper-parameter tuning for stream classification algorithms
B Veloso, J Gama
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020
42020
A 2020 perspective on “scalable modelling and recommendation using wiki-based crowdsourced repositories:” fairness, scalability, and real-time recommendation
F Leal, B Veloso, B Malheiro, H González-Vélez, JC Burguillo
Electronic Commerce Research and Applications 40, 100951, 2020
42020
Renegotiation of electronic brokerage contracts
R Cunha, B Veloso, B Malheiro
World Conference on Information Systems and Technologies, 41-50, 2017
42017
CloudAnchor: Agent-based brokerage of federated cloud resources
B Veloso, B Malheiro, JC Burguillo
International Conference on Practical Applications of Agents and Multi-Agent …, 2016
42016
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