BLAST Distributed Execution on Partitioned Databases with Primary Fragments. - Daniel Xavier de Sousa; Sérgio Lifschitz; Patrick Valduriez (VECPAR, 2008)

Improving On-Demand Learning to Rank through Parallelism. - Daniel Xavier de Sousa; Thierson Couto Rosa; Wellington Santos Martins; Rodrigo M. Silva; Marcos André Gonçalves (WISE, 2012)

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 (CIKM, 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 (SIGIR, 2016)

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)

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)

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)

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)

Risk-Sensitive Deep Neural Learning to Rank. - Pedro Henrique Silva Rodrigues; Daniel Xavier de Sousa; Thierson Couto Rosa; Marcos André Gonçalves (SIGIR, 2022)

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)

Understanding Large Language Models' Ability on Interdisciplinary Research. - Yuanhao Shen; Daniel Xavier de Sousa; Ricardo Marçal; Ali Asad; Hongyu Guo; Xiaodan Zhu 001 (CoRR, 2025)