Daniel Xavier de Sousa

12 papers A* 2A 1B 1Misc 1Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2025 Misc conf
A Robustness Assessment of Query Performance Prediction (QPP) Methods Based on Risk-Sensitive Analysis.
ICTIR
Ricardo Marçal de Andrade Nascimento, Daniel Xavier de Sousa, Guglielmo Faggioli, Paulo José Lage Alvarenga, Nicola Ferro, Marcos André Gonçalves
2025 J jnl
Risk-sensitive optimization of neural deep learning ranking models with applications in ad-hoc retrieval and recommender systems.
Inf. Process. Manag.
Pedro Henrique Silva Rodrigues, Daniel Xavier de Sousa, Celso França, Gestefane Rabbi, Thierson Couto Rosa, Marcos André Gonçalves
2025 J jnl
Understanding Large Language Models' Ability on Interdisciplinary Research.
CoRR
Yuanhao Shen, Daniel Xavier de Sousa, Ricardo Marçal de Andrade Nascimento, Ali Asad, Hongyu Guo, Xiaodan Zhu
2022 A* conf
Risk-Sensitive Deep Neural Learning to Rank.
SIGIR
Pedro Henrique Silva Rodrigues, Daniel Xavier de Sousa, Thierson Couto Rosa, Marcos André Gonçalves
2021 J jnl
Individualized extreme dominance (IndED): A new preference-based method for multi-objective recommender systems.
Inf. Sci.
Reinaldo Silva Fortes, Daniel Xavier de Sousa, Dayanne Gouveia Coelho, Anísio Mendes Lacerda, Marcos André Gonçalves
2019 J jnl
Parallel rule-based selective sampling and on-demand learning to rank.
Concurr. Comput. Pract. Exp.
Mateus Ferreira e Freitas, Daniel Xavier de Sousa, Wellington S. Martins, Thierson Couto Rosa, Rodrigo M. Silva, Marcos André Gonçalves
2019 J jnl
Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection.
ACM Trans. Inf. Syst.
Daniel Xavier de Sousa, Sérgio D. Canuto, Marcos André Gonçalves, Thierson Couto Rosa, Wellington Santos Martins
2018 J jnl
A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification.
IEEE Trans. Knowl. Data Eng.
Sérgio D. Canuto, Daniel Xavier de Sousa, Marcos André Gonçalves, Thierson Couto Rosa
2016 A* conf
Generalized BROOF-L2R: A General Framework for Learning to Rank Based on Boosting and Random Forests.
SIGIR
Clebson C. A. de Sá, Marcos André Gonçalves, Daniel Xavier de Sousa, Thiago Salles
2016 A conf
Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank.
CIKM
Daniel Xavier de Sousa, Sérgio Daniel Canuto, Thierson Couto Rosa, Wellington Santos Martins, Marcos André Gonçalves
2012 B conf
Improving On-Demand Learning to Rank through Parallelism.
WISE
Daniel Xavier de Sousa, Thierson Couto Rosa, Wellington Santos Martins, Rodrigo M. Silva, Marcos André Gonçalves
2008 — conf
BLAST Distributed Execution on Partitioned Databases with Primary Fragments.
VECPAR
Daniel Xavier de Sousa, Sérgio Lifschitz, Patrick Valduriez