Lukas

Orcid: 0000-0001-6546-6555

Affiliations:
  • Bina Nusantara University, Jakarta, Indonesia
  • Universitas Katolik Atma Jaya, Indonesia (former)
  • Katholieke Universiteit Leuven, Belgium (PhD 2003)


According to our database1, Lukas authored at least 14 papers between 2000 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Predicting Human Activity with LSTM Face Detection on Server Surveillance System.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

2022
A Case Study of IIoT Application in Process Manufacturing: Management Information Systems in Palm Oil Refinery.
Proceedings of the International Conference on Engineering and Information Technology for Sustainable Industry, 2022

2020
Botnet Detection Using DNS and HTTP Traffic Analysis.
Proceedings of the ICONETSI 2020: International Conference on Engineering and Information Technology for Sustainable Industry, 2020

Mal-TScore: A Threat Score Framework Based on Static and Dynamic Analysis Features.
Proceedings of the ICONETSI 2020: International Conference on Engineering and Information Technology for Sustainable Industry, 2020

2019
Comparison of Data Mining Classification Algorithms for Student Performance.
Proceedings of the IEEE International Conference on Engineering, Technology and Education, 2019

Malware Detection using Hybrid Autoencoder Approach for Better Security in Educational Institutions.
Proceedings of the IEEE International Conference on Engineering, Technology and Education, 2019

2017
An Expert System to Assist with Early Detection of Schizophrenia.
Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2009
A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2004
Brain tumor classification based on long echo proton MRS signals.
Artif. Intell. Medicine, 2004

2002
Weighted least squares support vector machines: robustness and sparse approximation.
Neurocomputing, 2002

The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Prediction of mental development of preterm newborns at birth time using LS-SVM.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2000
Sparse approximation using least squares support vector machines.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

Sparse least squares Support Vector Machine classifiers.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000


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