Associate Professor of Electrical Engineering, Universitas Katolik Indonesia Atma Jaya
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Cited by
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Least squares support vector machine classifiers
JAK Suykens, L Lukas, J Vandewalle
Neural Processing Letters 9 (3), 293-300, 1999
Weighted least squares support vector machines: robustness and sparse approximation
JAK Suykens, J De Brabanter, L Lukas, J Vandewalle
Neurocomputing 48 (1-4), 85-105, 2002
Sparse approximation using least squares support vector machines
JAK Suykens, L Lukas, J Vandewalle
2000 IEEE International Symposium on Circuits and Systems (ISCAS) 2, 757-760, 2000
LS-SVMlab: a matlab/c toolbox for least squares support vector machines
K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ...
Tutorial. KULeuven-ESAT. Leuven, Belgium 142 (1-2), 2002
Least Square-Support Vector Machine Classifier: A Large Scale Algorithm
JAK Suykens, L Lukas, PV Dooren, BD Moor, J Vandewalle
European Conference on Circuit Theory and Design, ECCTD 99, 839-842, 1999
Classification of brain tumours using short echo time 1H MR spectra
A Devos, L Lukas, JAK Suykens, L Vanhamme, AR Tate, FA Howe, ...
Journal of Magnetic Resonance 170 (1), 164-175, 2004
Brain tumor classification based on long echo proton MRS signals
L Lukas, A Devos, JAK Suykens, L Vanhamme, FA Howe, C Majós, ...
Artificial intelligence in medicine 31 (1), 73-89, 2004
Sparse Least Squares Support Vector Machine Classifiers
JAK Suykens, L Lukas, J Vandewalle
European Symposium on Artificial Neural Networks (ESANN), 2000
LS-SVMlab toolbox user’s guide
K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ...
Pattern recognition letters 24 (2003), 659-675, 2003
The use of multivariate MR imaging intensities versus metabolic data from MR spectroscopic imaging for brain tumour classification
A Devos, AW Simonetti, M Van Der Graaf, L Lukas, JAK Suykens, ...
Journal of Magnetic Resonance 173 (2), 218-228, 2005
On the Application of IoT: Monitoring of Troughs Water Level Using WSN
Lukas, WA Tanumihardja, E Gunawan
ICWiSe 2015 : IEEE Conference on Wireless Sensors, 2015
Does the combination of magnetic resonance imaging and spectroscopic imaging improve the classification of brain tumours?
A Devos, L Lukas, AW Simonetti, JAK Suykens, L Vanhamme, ...
The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004
A fish classification on images using transfer learning and matlab
S Liawatimena, Y Heryadi, Lukas, A Trisetyarso, A Wibowo, BS Abbas, ...
2018 Indonesian Association for Pattern Recognition International Conference …, 2018
A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction
H Widiputra, H Kho, Lukas, R Pears, N Kasabov
Neural Information Processing, 16th International Conference, ICONIP 2009 …, 2009
The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals.
L Lukas, A Devos, JAK Suykens, L Vanhamme, S Van Huffel, AR Tate, ...
ESANN, 131-136, 2002
Least Squares Support Vector Machines Classifiers: a multi two-spiral benchmark problem
L Lukas, JAK Suykens, J Vandewalle
Proc of the Indonesian Student Scientific Meeting. Manchester, 289-292, 2001
Retina disease classification based on colour fundus images using convolutional neural networks
BK Triwijoyo, Y Heryadi, Lukas, AS Ahmad, BS Sabarguna, W Budiharto, ...
2017 International Conference on Innovative and Creative Information …, 2017
Questions Classification in Online Discussion Towards Smart Learning Management System
BD Wijanarko, DF Murad, Y Heryadi, Lukas, H Toba, W Budiharto
2018 International Conference on Information Management and Technology …, 2018
Least squares support vector machines classification applied to brain tumour recognition using magnetic resonance spectroscopy
L Lukas
Using Machine Learning Techniques to Earlier Predict Student’s Performance
E Tanuar, Y Heryadi, Lukas, BS Abbas, FL Gaol
1st INAPR International Conference, 2018
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