Sérgio D. Canuto

According to our database1, Sérgio D. Canuto authored at least 20 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
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

2018
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

2017
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

2016
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

2015
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

2014
On Efficient Meta-Level Features for Effective Text Classification.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
A Comparative Study of Learning-to-Rank Techniques for Tag Recommendation.
JIDM, 2013

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


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