Twan van Laarhoven
Twan van Laarhoven
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Cited by
Gaussian interaction profile kernels for predicting drug–target interaction
T Van Laarhoven, SB Nabuurs, E Marchiori
Bioinformatics 27 (21), 3036-3043, 2011
Convolutional neural networks for vibrational spectroscopic data analysis
J Acquarelli, T van Laarhoven, J Gerretzen, TN Tran, LMC Buydens, ...
Analytica chimica acta 954, 22-31, 2017
L2 regularization versus batch and weight normalization
T Van Laarhoven
arXiv preprint arXiv:1706.05350, 2017
Predicting drug-target interactions for new drug compounds using a weighted nearest neighbor profile
T Van Laarhoven, E Marchiori
PloS one 8 (6), e66952, 2013
Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders
NM Rad, SM Kia, C Zarbo, T van Laarhoven, G Jurman, P Venuti, ...
Signal Processing 144, 180-191, 2018
Overview and evaluation of premise selection techniques for large theory mathematics
D Kühlwein, T van Laarhoven, E Tsivtsivadze, J Urban, T Heskes
Automated Reasoning: 6th International Joint Conference, IJCAR 2012 …, 2012
Novelty detection using deep normative modeling for imu-based abnormal movement monitoring in parkinson’s disease and autism spectrum disorders
N Mohammadian Rad, T Van Laarhoven, C Furlanello, E Marchiori
Sensors 18 (10), 3533, 2018
Axioms for graph clustering quality functions
T Van Laarhoven, E Marchiori
The Journal of Machine Learning Research 15 (1), 193-215, 2014
Local network community detection with continuous optimization of conductance and weighted kernel k-means
T Van Laarhoven, E Marchiori
The Journal of Machine Learning Research 17 (1), 5148-5175, 2016
Spectral-spatial classification of hyperspectral images: Three tricks and a new learning setting
J Acquarelli, E Marchiori, LMC Buydens, T Tran, T Van Laarhoven
Remote Sensing 10 (7), 1156, 2018
Simple domain adaptation with class prediction uncertainty alignment
J Manders, E Marchiori, T van Laarhoven
arXiv preprint arXiv:1804.04448 1 (2), 3, 2018
Robust community detection methods with resolution parameter for complex detection in protein protein interaction networks
T Van Laarhoven, E Marchiori
Pattern Recognition in Bioinformatics: 7th IAPR International Conference …, 2012
Graph clustering with local search optimization: The resolution bias of the objective function matters most
T van Laarhoven, E Marchiori
Physical Review E 87 (1), 012812, 2013
PCA, eigenvector localization and clustering for side-channel attacks on cryptographic hardware devices
D Mavroeidis, L Batina, T Van Laarhoven, E Marchiori
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012
Evaluating diagnostic content of AI-generated radiology reports of chest X-rays
Z Babar, T van Laarhoven, FM Zanzotto, E Marchiori
Artificial Intelligence in Medicine 116, 102075, 2021
Multioutput convolution spectral mixture for Gaussian processes
K Chen, T van Laarhoven, P Groot, J Chen, E Marchiori
IEEE Transactions on Neural Networks and Learning Systems 31 (7), 2255-2266, 2019
Convolutional neural networks and data augmentation for spectral-spatial classification of hyperspectral images
J Acquarelli, E Marchiori, LM Buydens, T Tran, T van Laarhoven
Networks 16, 21-40, 2017
Incorporating dependencies in spectral kernels for Gaussian processes
K Chen, T van Laarhoven, J Chen, E Marchiori
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020
Pattern recognition in bioinformatics
A Ngom, M Chetty, S Ahmad
Lecture Notes in Computer Science 7986, 2008
Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data
J Acquarelli, T van Laarhoven, GJ Postma, JJ Jansen, A Rijpma, ...
Plos one 17 (8), e0268881, 2022
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