| Gaussian interaction profile kernels for predicting drug–target interaction T Van Laarhoven, SB Nabuurs, E Marchiori Bioinformatics 27 (21), 3036-3043, 2011 | 724 | 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 | 276 | 2017 |
| L2 regularization versus batch and weight normalization T Van Laarhoven arXiv preprint arXiv:1706.05350, 2017 | 238 | 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 | 218 | 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 | 80 | 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 | 76 | 2012 |
| Axioms for graph clustering quality functions T Van Laarhoven, E Marchiori The Journal of Machine Learning Research 15 (1), 193-215, 2014 | 60 | 2014 |
| 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 | 54 | 2018 |
| 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 | 54 | 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 | 46 | 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 | 26 | 2012 |
| Simple domain adaptation with class prediction uncertainty alignment J Manders, E Marchiori, T van Laarhoven arXiv preprint arXiv:1804.04448 1 (2), 3, 2018 | 25* | 2018 |
| 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 | 23 | 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 | 23 | 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 | 12 | 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 | 12 | 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 | 12 | 2017 |
| Pattern recognition in bioinformatics A Ngom, M Chetty, S Ahmad Lecture Notes in Computer Science 7986, 2008 | 12 | 2008 |
| 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 | 10 | 2020 |
| Unsupervised domain adaptation with random walks on target labelings T van Laarhoven, E Marchiori arXiv preprint arXiv:1706.05335, 2017 | 10 | 2017 |
