Lukas

According to our database, Lukas authored at least 15 papers between 2000 and 2024.

Collaborative distances:

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

2024

Smart Tourism Recommender System Modeling Based on Hybrid Technique and Content Boosted Collaborative Filtering.

Choirul Huda, Yaya Heryadi, Lukas, Widodo Budiharto

IEEE Access, 2024

2023

Predicting Human Activity with LSTM Face Detection on Server Surveillance System.

Alexander Nurenie, Yaya Heryadi, Lukas, Wayan Suparta, Yulyani Arifin

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.

Suryo Toto Koncoro, Lukas Lukas, Marsul Siregar

Proceedings of the International Conference on Engineering and Information Technology for Sustainable Industry, 2022

2020

Botnet Detection Using DNS and HTTP Traffic Analysis.

Agung Udiyono, Charles Lim, Lukas

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.

Ali Suwanda, Charles Lim, Lukas

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.

Emny Harna Yossy, Yaya Heryadi, Lukas

Proceedings of the IEEE International Conference on Engineering, Technology and Education, 2019

Malware Detection using Hybrid Autoencoder Approach for Better Security in Educational Institutions.

Irvan Santoso, Yaya Heryadi, Harco Leslie Hendric Spits Warnars, Lili Ayu Wulandhari, Lukas, Edi Abdurachman

Proceedings of the IEEE International Conference on Engineering, Technology and Education, 2019

2017

An Expert System to Assist with Early Detection of Schizophrenia.

Sonya Rapinta Manalu, Bahtiar Saleh Abbas, Ford Lumban Gaol, Lukas, Bogdan Trawinski

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.

Harya Widiputra, Henry Kho, Lukas, Russel Pears, Nikola K. Kasabov

Proceedings of the Neural Information Processing, 16th International Conference, 2009

2004

Brain tumor classification based on long echo proton MRS signals.

Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, Franklyn A. Howe, Carles Majós, Àngel Moreno-Torres, M. Van Der Graaf, Anne Rosemary Tate, Carles Arús, Sabine Van Huffel

Artif. Intell. Medicine, 2004

2002

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

Johan A. K. Suykens, Jos De Brabanter, Lukas Lukas, Joos Vandewalle

Neurocomputing, 2002

The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals.

Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, Sabine Van Huffel, Anne Rosemary Tate, Carles Majós, Carles Arús

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Prediction of mental development of preterm newborns at birth time using LS-SVM.

Lieveke Ameye, Chuan Lu, Lukas Lukas, Jos De Brabanter, Johan A. K. Suykens, Sabine Van Huffel, Hans Daniels, Gunnar Naulaers, Hugo Devlieger

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2000

Sparse approximation using least squares support vector machines.

Johan A. K. Suykens, Lukas Lukas, Joos Vandewalle

Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

Sparse least squares Support Vector Machine classifiers.

Johan A. K. Suykens, Lukas Lukas, Joos Vandewalle

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000