Eduardo Lima

According to our database, Eduardo Lima authored at least 7 papers between 2013 and 2023.

Collaborative distances:

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

2023

PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning.

Kevin Assogba, Eduardo Lima, M. Mustafa Rafique, Minseok Kwon

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

Hierarchical Bayesian multi-kernel learning for integrated classification and summarization of app reviews.

Moayad Alshangiti, Weishi Shi, Eduardo Lima, Xumin Liu, Qi Yu

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

HSG-CDM: A Heterogeneous Service Graph Contextual Deep Model for Web Service Classification.

Vivek Govind Lad, Eduardo Lima, Xumin Liu

Proceedings of the IEEE International Conference on Services Computing, 2022

2021

Adaptive priority-aware LoRaWAN resource allocation for Internet of Things applications.

Eduardo Lima, Jean Moraes, Helder M. N. S. Oliveira, Eduardo Cerqueira, Sherali Zeadally, Denis do Rosário

Ad Hoc Networks, 2021

A Structure Alignment Deep Graph Model for Mashup Recommendation.

Eduardo Lima, Xumin Liu

Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

2019

Integrating Multi-level Tag Recommendation with External Knowledge Bases for Automatic Question Answering.

Eduardo Lima, Weishi Shi, Xumin Liu, Qi Yu

ACM Trans. Internet Techn., 2019

2013

Local Phase-Based Fast Ray Features for Automatic Left Ventricle Apical View Detection in 3D Echocardiography.

João S. Domingos, Eduardo Lima, Paul Leeson, J. Alison Noble

Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013