Daniel Xavier de Sousa

According to our database, Daniel Xavier de Sousa authored at least 9 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Risk-Sensitive Deep Neural Learning to Rank.

Pedro Henrique Silva Rodrigues, Daniel Xavier de Sousa, Thierson Couto Rosa, Marcos André Gonçalves

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Individualized extreme dominance (IndED): A new preference-based method for multi-objective recommender systems.

Reinaldo Silva Fortes, Daniel Xavier de Sousa, Dayanne Gouveia Coelho, Anísio Mendes Lacerda, Marcos André Gonçalves

Inf. Sci., 2021

2019

Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection.

Daniel Xavier de Sousa, Sérgio D. Canuto, Marcos André Gonçalves, Thierson Couto Rosa, Wellington Santos Martins

ACM Trans. Inf. Syst., 2019

Parallel rule-based selective sampling and on-demand learning to rank.

Mateus Ferreira e Freitas, Daniel Xavier de Sousa, Wellington S. Martins, Thierson Couto Rosa, Rodrigo M. Silva, Marcos André Gonçalves

Concurr. Comput. Pract. Exp., 2019

2018

A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification.

Sérgio D. Canuto, Daniel Xavier de Sousa, Marcos André Gonçalves, Thierson Couto Rosa

IEEE Trans. Knowl. Data Eng., 2018

2016

Generalized BROOF-L2R: A General Framework for Learning to Rank Based on Boosting and Random Forests.

Clebson C. A. de Sá, Marcos André Gonçalves, Daniel Xavier de Sousa, Thiago Salles

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank.

Daniel Xavier de Sousa, Sérgio Daniel Canuto, Thierson Couto Rosa, Wellington Santos Martins, Marcos André Gonçalves

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2012

Improving On-Demand Learning to Rank through Parallelism.

Daniel Xavier de Sousa, Thierson Couto Rosa, Wellington Santos Martins, Rodrigo M. Silva, Marcos André Gonçalves

Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

2008

BLAST Distributed Execution on Partitioned Databases with Primary Fragments.

Daniel Xavier de Sousa, Sérgio Lifschitz, Patrick Valduriez

Proceedings of the High Performance Computing for Computational Science, 2008