Eduardo Jaques Spinosa

Orcid: 0000-0003-4438-6198

Affiliations:
  • Federal University of Paraná, Curitiba, Brazil


According to our database1, Eduardo Jaques Spinosa authored at least 19 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Customizable Mapping of Virtualized Network Services in Multi-datacenter Environments Based on Genetic Metaheuristics.
J. Netw. Syst. Manag., October, 2023

2022
Scalable stream-based recommendations with random walks on incremental graph of sequential interactions with implicit feedback.
User Model. User Adapt. Interact., 2022

Graph Convolutional Auto-Encoders for Predicting Novel lncRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Intelligent Mapping of Virtualized Services on Multi-domain Networks.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

A Sequential Recommender System with Embeddings Based on GraphSage Aggregators.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Using PMI to Rank and Filter Edges in Graphs of Words.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020
Mapeamento Customizado de Serviços de Rede em Múltiplos Domínios Baseado em Heurísticas Genéticas.
Proceedings of the XXXVIII Brazilian Symposium on Computer Networks and Distributed Systems, 2020

Incremental Graph of Sequential Interactions for Online Recommendation with Implicit Feedback.
Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

2018
Outlier Detection on Semantic Space for Sentiment Analysis With Convolutional Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2015
A Context-Aware Method Decoupled from Protocol for Adapting Routing Process in DTN.
Proceedings of the Mobile Networks and Management - 7th International Conference, 2015

2011
Evaluating an outlier generation method for training tree-based Genetic Programming applied to one-class classification.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

2010
Knowledge Discovery from Data Streams.
Proceedings of the Web Intelligence and Security, 2010

2009
Novelty detection with application to data streams.
Intell. Data Anal., 2009

2008
Novelty detection with application to data streams.
PhD thesis, 2008

Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

2007
OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

2005
Combining One-Class Classifiers for Robust Novelty Detection in Gene Expression Data.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2005

2004
SVMs for novel class detection in Bioinformatics.
Proceedings of the III Brazilian Workshop on Bioinformatics, 2004

2002
Controlling the Population Size in Genetic Programming.
Proceedings of the Advances in Artificial Intelligence, 2002


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