Daniel Xavier de Sousa

According to our database, Daniel Xavier de Sousa authored at least 14 papers between 2008 and 2025.

Collaborative distances:

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

2025

Understanding Large Language Models' Ability on Interdisciplinary Research.

Yuanhao Shen, Daniel Xavier de Sousa, Ricardo Marçal de Andrade Nascimento, Ali Asad, Hongyu Guo, Xiaodan Zhu

CoRR, July, 2025

Risk-sensitive optimization of neural deep learning ranking models with applications in ad-hoc retrieval and recommender systems.

Pedro Henrique Silva Rodrigues, Daniel Xavier de Sousa, Celso França, Gestefane Rabbi, Thierson Couto Rosa, Marcos André Gonçalves

Inf. Process. Manag., 2025

Nova Base de Dados Brasileira para Sistemas de Recomendação de Artigos Científicos.

João Vitor Felipe dos Santos, Ricardo Marçal de Andrade Nascimento, Adriano César de Melo Camargo, Sérgio Daniel Carvalho Canuto, Gustavo de Assis Costa, Daniel Xavier de Sousa

Proceedings of the 40th Brazilian Symposium on Databases, 2025

Aprendizado Federado Incremental e Sensível ao Risco para Modelos de Ranqueamento em Cenários com Distribuições Heterogêneas de Dados.

Gestefane Rabbi, Celso França, Daniel Xavier de Sousa, Thierson Couto Rosa, Jussara M. Almeida, Marcos André Gonçalves

Proceedings of the 40th Brazilian Symposium on Databases, 2025

A Robustness Assessment of Query Performance Prediction (QPP) Methods Based on Risk-Sensitive Analysis.

Ricardo Marçal de Andrade Nascimento, Daniel Xavier de Sousa, Guglielmo Faggioli, Paulo José Lage Alvarenga, Nicola Ferro, Marcos André Gonçalves

Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, 2025

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