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- affiliation: Bina Nusantara University, Jakarta, Indonesia
- affiliation (former): Universitas Katolik Atma Jaya, Indonesia
- affiliation (PhD 2003): Katholieke Universiteit Leuven, Belgium
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2020 – today
- 2024
[j3]Choirul Huda
, Yaya Heryadi, Lukas, Widodo Budiharto:
Smart Tourism Recommender System Modeling Based on Hybrid Technique and Content Boosted Collaborative Filtering. IEEE Access 12: 131794-131808 (2024)- 2023
- [c12]Alexander Nurenie, Yaya Heryadi, Lukas, Wayan Suparta, Yulyani Arifin:
Predicting Human Activity with LSTM Face Detection on Server Surveillance System. ICAIIC 2023: 78-85 - 2022
- [c11]Suryo Toto Koncoro, Lukas Lukas, Marsul Siregar:
A Case Study of IIoT Application in Process Manufacturing: Management Information Systems in Palm Oil Refinery. ICONETSI 2022: 45:1-45:6 - 2020
- [c10]Agung Udiyono, Charles Lim, Lukas:
Botnet Detection Using DNS and HTTP Traffic Analysis. ICONETSI 2020: 28:1-28:6 - [c9]Ali Suwanda, Charles Lim, Lukas:
Mal-TScore: A Threat Score Framework Based on Static and Dynamic Analysis Features. ICONETSI 2020: 29:1-29:6
2010 – 2019
- 2019
- [c8]Irvan Santoso, Yaya Heryadi, Harco Leslie Hendric Spits Warnars, Lili Ayu Wulandhari, Lukas, Edi Abdurachman:
Malware Detection using Hybrid Autoencoder Approach for Better Security in Educational Institutions. TALE 2019: 1-6 - [c7]Emny Harna Yossy, Yaya Heryadi, Lukas:
Comparison of Data Mining Classification Algorithms for Student Performance. TALE 2019: 1-4 - 2017
- [c6]Sonya Rapinta Manalu, Bahtiar Saleh Abbas, Ford Lumban Gaol, Lukas, Bogdan Trawinski:
An Expert System to Assist with Early Detection of Schizophrenia. ACIIDS (1) 2017: 802-812
2000 – 2009
- 2009
- [c5]Harya Widiputra, Henry Kho, Lukas, Russel Pears, Nikola K. Kasabov:
A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction. ICONIP (2) 2009: 114-121 - 2004
- [j2]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:
Brain tumor classification based on long echo proton MRS signals. Artif. Intell. Medicine 31(1): 73-89 (2004) - 2002
- [j1]Johan A. K. Suykens, Jos De Brabanter, Lukas Lukas, Joos Vandewalle:
Weighted least squares support vector machines: robustness and sparse approximation. Neurocomputing 48(1-4): 85-105 (2002) - [c4]Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, Sabine Van Huffel, Anne Rosemary Tate, Carles Majós, Carles Arús:
The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals. ESANN 2002: 131-136 - [c3]Lieveke Ameye, Chuan Lu, Lukas Lukas, Jos De Brabanter, Johan A. K. Suykens, Sabine Van Huffel, Hans Daniels, Gunnar Naulaers, Hugo Devlieger:
Prediction of mental development of preterm newborns at birth time using LS-SVM. ESANN 2002: 167-172 - 2000
- [c2]Johan A. K. Suykens, Lukas Lukas, Joos Vandewalle:
Sparse least squares Support Vector Machine classifiers. ESANN 2000: 37-42 - [c1]Johan A. K. Suykens, Lukas Lukas, Joos Vandewalle:
Sparse approximation using least squares support vector machines. ISCAS 2000: 757-760
Coauthor Index
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