Victor Carneiro
Victor Carneiro
CITIC Research Center, University of A Coruña
Verified email at - Homepage
Cited by
Cited by
Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems
F Cacheda, V Carneiro, D Fernández, V Formoso
ACM Transactions on the Web (TWEB) 5 (1), 1-33, 2011
Multi-scale phase-based local features
G Carneiro, AD Jepson
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
Phase-based local features
G Carneiro, AD Jepson
European Conference on Computer Vision, 282-296, 2002
Early Detection of Depression: Social Network Analysis and Random Forest Techniques
F Cacheda, D Fernandez, FJ Novoa, V Carneiro
Journal of medical Internet research 21 (6), e12554, 2019
Sparse flexible models of local features
G Carneiro, D Lowe
European Conference on Computer Vision, 29-43, 2006
Probabilistic object detection: Definition and evaluation
D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ...
The IEEE Winter Conference on Applications of Computer Vision, 1031-1040, 2020
A database centric view of semantic image annotation and retrieval
G Carneiro, N Vasconcelos
Proceedings of the 28th annual international ACM SIGIR conference on …, 2005
Flexible spatial configuration of local image features
G Carneiro, AD Jepson
IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (12), 2089 …, 2007
Bayesian generative active deep learning
T Tran, TT Do, I Reid, G Carneiro
arXiv preprint arXiv:1904.11643, 2019
Crawling the content hidden behind web forms
M Álvarez, J Raposo, A Pan, F Cacheda, F Bellas, V Carneiro
International Conference on Computational Science and Its Applications, 322-333, 2007
Workshop on Information Systems and Information Technologies (ISIT 07)-Crawling the Content Hidden Behind Web Forms
M Alvarez, J Raposo, A Pan, F Cacheda, F Bellas, V Carneiro
Lecture Notes in Computer Science 4706, 322-333, 2007
Using profile expansion techniques to alleviate the new user problem
V Formoso, D FernáNdez, F Cacheda, V Carneiro
Information processing & management 49 (3), 659-672, 2013
Competitive multi-scale convolution
Z Liao, G Carneiro
arXiv preprint arXiv:1511.05635, 2015
Deepbot: a focused crawler for accessing hidden web content
M Álvarez, J Raposo, A Pan, F Cacheda, F Bellas, V Carneiro
Proceedings of the 3rd international workshop on Data enginering issues in E …, 2007
Flexible spatial models for grouping local image features
G Carneiro, AD Jepson
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
Performance analysis of distributed information retrieval architectures using an improved network simulation model
F Cacheda, V Carneiro, V Plachouras, I Ounis
Information processing & management 43 (1), 204-224, 2007
High-performance prediction of macauba fruit biomass for agricultural and industrial purposes using Artificial Neural Networks
CAO Castro, RT Resende, KN Kuki, VQ Carneiro, GE Marcatti, CD Cruz, ...
Industrial crops and products 108, 806-813, 2017
CONTROLAB MUFA: A multi-level fusion architecture for intelligent navigation of a telerobot
EPL Aude, GHMB Carneiro, H Serdeira, JTC Silveira, MF Martins, ...
Proceedings 1999 IEEE International Conference on Robotics and Automation …, 1999
Search shortcuts: a new approach to the recommendation of queries
R Baraglia, F Cacheda, V Carneiro, D Fernandez, V Formoso, R Perego, ...
Proceedings of the third ACM conference on Recommender systems, 77-84, 2009
Bayesian semantic instance segmentation in open set world
T Pham, VBG Kumar, TT Do, G Carneiro, I Reid
Proceedings of the European Conference on Computer Vision (ECCV), 3-18, 2018
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