Get started
Author

Daniel Xavier de Sousa

Observed names: DANIEL XAVIER DE SOUSA, Daniel Sousa, Daniel X. Sousa, Daniel X. de Sousa, Daniel Xavier De Sousa, Daniel Xavier Sousa, de Sousa, Daniel Xavier
ORCID: 0000-0002-9426-9988
Observed ORCID: 0000-0002-9426-9988
OpenAlex ID: A5091429779
A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification
2018 · Sergio Canuto, Daniel Xavier Sousa, et al. · IEEE Transactions on Knowledge and Data Engineering · 31
Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection
2019 · Daniel Xavier Sousa, Sérgio Canuto, et al. · ACM Transactions on Information Systems · 22
Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank
2016 · Daniel Xavier De Sousa, Sérgio Daniel Canuto, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 15
Individualized extreme dominance (IndED): A new preference-based method for multi-objective recommender systems
2021 · Reinaldo Silva Fortes, Daniel Xavier de Sousa, et al. · Information Sciences · 14
Risk-sensitive optimization of neural deep learning ranking models with applications in ad-hoc retrieval and recommender systems
2025 · Pedro Henrique Silva Rodrigues, Daniel Xavier de Sousa, et al. · Information Processing & Management · 9
Risk-Sensitive Deep Neural Learning to Rank
2022 · Pedro Henrique Silva Rodrigues, Daniel Xavier Sousa, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 8
Generalized BROOF-L2R
2016 · Clebson C.A. de Sá, Marcos A. Gonçalves, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 8
Improving On-Demand Learning to Rank through Parallelism
2012 · Daniel Xavier De Sousa, Thierson Couto Rosa, et al. · Lecture notes in computer science · 5
A Robustness Assessment of Query Performance Prediction (QPP) Methods Based on Risk-Sensitive Analysis
2025 · Ricardo Marçal de Andrade Nascimento, Daniel Xavier de Sousa, et al. · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) · 4
Parallel rule‐based selective sampling and on‐demand learning to rank
2018 · Mateus F. e Freitas, Daniel X. Sousa, et al. · Concurrency and Computation Practice and Experience · 3
BLAST Distributed Execution on Partitioned Databases with Primary Fragments
2008 · Daniel Xavier de Sousa, Sergio Lifschitz, et al. · Lecture notes in computer science · 3
Nova Base de Dados Brasileira para Sistemas de Recomendação de Artigos Científicos
2025 · João Vitor Felipe dos Santos, Ricardo Marçal de Andrade Nascimento, et al. · Simpósio Brasileiro de Bancos de Dados (SBBD) · 2
PDF
IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research
2025 · Shen, Yuanhao, de Sousa, Daniel Xavier, et al. · arXiv (Cornell University) · 1
PDF
Aprendizado Federado Incremental e Sensível ao Risco para Modelos de Ranqueamento
2026 · Gestefane Rabbi Magalhães, Daniel Xavier de Sousa, et al. · Simpósio Brasileiro de Bancos de Dados (SBBD)
PDF
On the Diversity of Analogy Making in Large Language Models
2026 · Shen, Yuanhao, de Sousa, Daniel Xavier, et al. · arXiv (Cornell University)
PDF
Aprendizado Federado Incremental e Sensível ao Risco para Modelos de Ranqueamento em Cenários com Distribuições Heterogêneas de Dados
2025 · Gestefane Rabbi, Celso França, et al. · Simpósio Brasileiro de Bancos de Dados (SBBD)
PDF
A New Risk-Sensitive Deep Learning Optimization Function for Ranking Tasks
2024 · Pedro H. S. Rodrigues, Daniel X. de Sousa, et al. · Simpósio Brasileiro de Bancos de Dados (SBBD)
PDF
Aprendizado Federado Sensível ao Risco em Modelos de Ranqueamento
2023 · Gestefane Rabbi Magalhães, Marcos André Gonçalves, et al. · Simpósio Brasileiro de Bancos de Dados (SBBD)
PDF
Evolutionary Risk-Sensitive Feature Selection for Learning to Rank
2019 · Daniel Xavier De Sousa, Thierson Couto Rosa, et al. · Anais do Concurso de Teses e Dissertações da SBC (CTD-SBC)
PDF
Gestão da Produção em Foco - Volume 24
2018 · Tatiana Kimura Kodama, Fernando José Gómez Paredes, et al.
PDF
Generalized BROOF-L2R: A general framework for L2R based on Boosting and Random Forests
2016 · Clebson C.A. de Sá, Daniel Sousa, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Estratégias De Balanceamento De Carga Para Avaliação Paralela Do Blast Com Bases De Dados Replicadas E Fragmentos Primários
2007 · DANIEL XAVIER DE SOUSA
PDF
Works count: 22
Citation count: 125
H-index: 7
I10-index: 4
Year
Topic
Type