Nivio Ziviani
Bolsa de Produtividade CNPq: 1A
Áreas de Pesquisa: Formação Acadêmica:
Doutor, University of Waterloo, Canadá, 1982
Ramal: 5893
nivio@dcc.ufmg.br
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Informações resumidas do Currículo Lattes
Currículo Lattes atualizado em 09/07/2021Nome em citações bibliográficas: ZIVIANI, N.;Ziviani, Nivio;Ziviani,Nivio
Projetos de pesquisa em andamento
| 2002 a Atual | CNPq - Bolsa de Produtividade em Pesquisa, nível 1A "Ambientes para Recuperação de Informação na WWW", início em 1984. Esta é uma proposta de pesquisa e desenvolvimento na área de ambientes para recuperação de informação na WWW (World Wide Web). A WWW se converteu nos últimos anosno meio que permite o intercâmbio massificado de informação ao redor do mundo. O seu uso intensivo gera cada ve mais um volume de intercâmbio de informação tal que os métodos existentens começam a mostrar-se limitados para recuperação eficiente neste novo cenário de utilização. Integrantes: Nivio Ziviani (coordenador). |
Projetos de desenvolvimento em andamento
Últimas publicações
Artigos em periódicos
Understanding machine learning software defect predictions2020. Automated Software Engineering.
In Search of a Stochastic Model for the E-News Reader
2019. ACM Transactions on Knowledge Discovery from Data.
P-score: a reputation bibliographic index that complements citation counts
2019. SCIENTOMETRICS (ONLINE).
Website replica detection with distant supervision
2018. Information Retrieval Journal.
Exploiting item co-utility to improve collaborative filtering recommendations
2017. Journal of the Association for Information Science and Technology.
Practical perfect hashing in nearly optimal space2013. Information Systems (Oxford).
Set-based vector model2005. ACM Transactions on Information Systems.
Fast and flexible word searching on compressed text2000. ACM Transactions on Information Systems.
Compression: A Key for Next-Generation Text Retrieval Systems2000. Computer - IEEE Computer Magazine.
Hierarchies of indices for text searching1996. Information Systems (Oxford).
Trabalhos completos em congressos
Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions2020. International Conference on Neural Networks.
Deep Active Learning for Anomaly Detection
2020. International Joint Conference on Neural Networks.
Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease
2020. International Joint Conference on Neural Networks.
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding
2020. International Conference on Nerural Networks.
Online Learning to Rank for Sequential Music Recommendation
2019. ACM Conference on Recommender Systems.
Efficient Estimation of Node Representations in Large Graphs using Linear Contexts
2019. IEEE International Joint Conference on Neural Networks.
Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation
2018. IEEE International Conference on BigData.
Information and Data Management at PUC-Rio and UFMG
2018. 44th International Conference on Very Large Data Bases.
Learning to Rank with Deep Autoencoder Features
2018. International Joint Conference on Neural Networks.
Effective Fashion Retrieval Based on Semantic Compositional Networks
2018. International Joint Conference on Neural Networks.
Fast Node Embeddings: Learning Ego-Centric Representations
2018. International Conference on Learning Representations.
Learning Transferable Features for Speech Emotion Recognition
2017. the.
Intent-Aware Semantic Query Annotation
2017. International ACM SIGIR Conference on Research and Development in Information Retrieval.
Unsupervised and Scalable Algorithm for Learning Node Representations
2017. International Conference on Learning Representations.
On Effective Dynamic Search in Specialized Domains
2017. the ACM SIGIR International Conference.
Resumos expandidos em congressos
Resumos em congressos
Machine learning for prediction of mortality and prolonged length of stay at intensive care unit in a brazilian cohort of critically ill patients2017. International Symposium on Intensive Care and Emergency.
Veja todas as publicações no Currículo Lattes
Orientações em andamento
Mestrado
Lucas de Miranda Bastos. Uso de Redes Neurais na Saúde. Início: 2017. Universidade Federal de Minas Gerais (Orientador principal)Alex de Paula Barros. Wordsense Deambiguation. Início: 2017. Universidade Federal de Minas Gerais (Orientador principal)