Daniel Xavier de Sousa

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 7

Top Topics

Feature Selection

Recommender Systems

Optimality Criterion

Top Venues

ACM Trans. Inf. Syst.

Concurr. Comput. Pract. Exp.

Publications

Pedro Henrique Silva Rodrigues, Daniel Xavier de Sousa, Thierson Couto Rosa, Marcos André Gonçalves
Risk-Sensitive Deep Neural Learning to Rank. SIGIR (2022)
Reinaldo Silva Fortes, Daniel Xavier de Sousa, Dayanne Gouveia Coelho, Anísio Mendes Lacerda, Marcos André Gonçalves
Individualized extreme dominance (IndED): A new preference-based method for multi-objective recommender systems. Inf. Sci. 572 (2021)
Daniel Xavier de Sousa, Sérgio D. Canuto, Marcos André Gonçalves, Thierson Couto Rosa, Wellington Santos Martins
Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection. ACM Trans. Inf. Syst. 37 (2) (2019)
Mateus Ferreira e Freitas, Daniel Xavier de Sousa, Wellington S. Martins, Thierson Couto Rosa, Rodrigo M. Silva, Marcos André Gonçalves
Parallel rule-based selective sampling and on-demand learning to rank. Concurr. Comput. Pract. Exp. 31 (18) (2019)
Sérgio D. Canuto, Daniel Xavier de Sousa, Marcos André Gonçalves, Thierson Couto Rosa
A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification. IEEE Trans. Knowl. Data Eng. 30 (12) (2018)
Clebson C. A. de Sá, Marcos André Gonçalves, Daniel Xavier de Sousa, Thiago Salles
Generalized BROOF-L2R: A General Framework for Learning to Rank Based on Boosting and Random Forests. SIGIR (2016)
Daniel Xavier de Sousa, Sérgio Daniel Canuto, Thierson Couto Rosa, Wellington Santos Martins, Marcos André Gonçalves
Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank. CIKM (2016)
Daniel Xavier de Sousa, Thierson Couto Rosa, Wellington Santos Martins, Rodrigo M. Silva, Marcos André Gonçalves
Improving On-Demand Learning to Rank through Parallelism. WISE (2012)
Daniel Xavier de Sousa, Sérgio Lifschitz, Patrick Valduriez
BLAST Distributed Execution on Partitioned Databases with Primary Fragments. VECPAR (2008)