Sérgio D. Canuto
According to our database1, Sérgio D. Canuto authored at least 20 papers between 2013 and 2019.
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Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection.
ACM Trans. Inf. Syst., 2019
Quality assessment of collaboratively-created web content with no manual intervention based on soft multi-view generation.
Expert Syst. Appl., 2019
CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Similarity-Based Synthetic Document Representations for Meta-Feature Generation in Text Classification.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Image Aesthetics and its Effects on Product Clicks in E-Commerce Search.
Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019
Document Performance Prediction for Automatic Text Classification.
Proceedings of the Advances in Information Retrieval, 2019
A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification.
IEEE Trans. Knowl. Data Eng., 2018
Semantically-Enhanced Topic Modeling.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Ranked batch-mode active learning.
Inf. Sci., 2017
Stacking Bagged and Boosted Forests for Effective Automated Classification.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Rank Fusion and Multimodal Per-topic Adaptiveness for Diverse Image Retrieval.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017
Automatic Hierarchical Categorization of Research Expertise Using Minimum Information.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017
Exploiting New Sentiment-Based Meta-level Features for Effective Sentiment Analysis.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
A practical and effective sampling selection strategy for large scale deduplication.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
A Practical and Effective Sampling Selection Strategy for Large Scale Deduplication.
IEEE Trans. Knowl. Data Eng., 2015
An Efficient and Scalable MetaFeature-based Document Classification Approach based on Massively Parallel Computing.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015
On Efficient Meta-Level Features for Effective Text Classification.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
A Comparative Study of Learning-to-Rank Techniques for Tag Recommendation.
UDRB: Uma Nova Heurística Eficaz para Deduplicação de Referências Bibliográficas.
Proceedings of the XXVIII Simpósio Brasileiro de Banco de Dados - Short Papers, Recife, Pernambuco, Brasil, September 30, 2013