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Twan van Laarhoven
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2020 – today
- 2024
- [j11]Kai Chen, Twan van Laarhoven, Elena Marchiori:
Compressing spectral kernels in Gaussian Process: Enhanced generalization and interpretability. Pattern Recognit. 155: 110642 (2024) - 2022
- [c10]Kai Chen, Twan van Laarhoven, Elena Marchiori, Feng Yin, Shuguang Cui:
Multitask Gaussian Process With Hierarchical Latent Interactions. ICASSP 2022: 4148-4152 - 2021
- [j10]Zaheer Babar, Twan van Laarhoven, Fabio Massimo Zanzotto, Elena Marchiori:
Evaluating diagnostic content of AI-generated radiology reports of chest X-rays. Artif. Intell. Medicine 116: 102075 (2021) - [j9]Kai Chen, Twan van Laarhoven, Elena Marchiori:
Gaussian processes with skewed Laplace spectral mixture kernels for long-term forecasting. Mach. Learn. 110(8): 2213-2238 (2021) - [i13]Alex Kolmus, Grégory Baltus, Justin Janquart, Twan van Laarhoven, Sarah Caudill, Tom Heskes:
Swift sky localization of gravitational waves using deep learning seeded importance sampling. CoRR abs/2111.00833 (2021) - [i12]Zhuoran Liu, Zhengyu Zhao, Alex Kolmus, Tijn Berns, Twan van Laarhoven, Tom Heskes, Martha A. Larson:
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples. CoRR abs/2111.13244 (2021) - 2020
- [j8]Kai Chen, Twan van Laarhoven, Perry Groot, Jinsong Chen, Elena Marchiori:
Multioutput Convolution Spectral Mixture for Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2255-2266 (2020) - [j7]Kai Chen, Twan van Laarhoven, Perry Groot, Jinsong Chen, Elena Marchiori:
Generalized Convolution Spectral Mixture for Multitask Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5613-5623 (2020) - [c9]Lucas Vos, Twan van Laarhoven:
Softmax Recurrent Unit: A new type of RNN cell. ESANN 2020: 309-314 - [i11]Kai Chen, Twan van Laarhoven, Elena Marchiori:
Skewed Laplace Spectral Mixture kernels for long-term forecasting in Gaussian process. CoRR abs/2011.03974 (2020)
2010 – 2019
- 2019
- [c8]Jeroen Manders, Twan van Laarhoven, Elena Marchiori:
Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation. ICPRAM 2019: 221-231 - [c7]Sebastiano Vascon, Sinem Aslan, Alessandro Torcinovich, Twan van Laarhoven, Elena Marchiori, Marcello Pelillo:
Unsupervised Domain Adaptation using Graph Transduction Games. IJCNN 2019: 1-8 - [c6]Kai Chen, Twan van Laarhoven, Jinsong Chen, Elena Marchiori:
Incorporating Dependencies in Spectral Kernels for Gaussian Processes. ECML/PKDD (2) 2019: 565-581 - [i10]Sebastiano Vascon, Sinem Aslan, Alessandro Torcinovich, Twan van Laarhoven, Elena Marchiori, Marcello Pelillo:
Unsupervised Domain Adaptation using Graph Transduction Games. CoRR abs/1905.02036 (2019) - 2018
- [j6]Jacopo Acquarelli, Elena Marchiori, Lutgarde M. C. Buydens, Thanh N. Tran, Twan van Laarhoven:
Spectral-Spatial Classification of Hyperspectral Images: Three Tricks and a New Learning Setting. Remote. Sens. 10(7): 1156 (2018) - [j5]Nastaran Mohammadian Rad, Twan van Laarhoven, Cesare Furlanello, Elena Marchiori:
Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders. Sensors 18(10): 3533 (2018) - [j4]Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Twan van Laarhoven, Giuseppe Jurman, Paola Venuti, Elena Marchiori, Cesare Furlanello:
Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders. Signal Process. 144: 180-191 (2018) - [i9]Twan van Laarhoven, Elena Marchiori:
Domain Adaptation with Randomized Expectation Maximization. CoRR abs/1803.07634 (2018) - [i8]Jeroen Manders, Elena Marchiori, Twan van Laarhoven:
Simple Domain Adaptation with Class Prediction Uncertainty Alignment. CoRR abs/1804.04448 (2018) - [i7]Twan van Laarhoven:
Generative models for local network community detection. CoRR abs/1804.04469 (2018) - 2017
- [i6]Twan van Laarhoven, Elena Marchiori:
Biased Bagging for Unsupervised Domain Adaptation. CoRR abs/1706.05335 (2017) - [i5]Twan van Laarhoven:
L2 Regularization versus Batch and Weight Normalization. CoRR abs/1706.05350 (2017) - [i4]Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Twan van Laarhoven, Giuseppe Jurman, Paola Venuti, Elena Marchiori, Cesare Furlanello:
Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders. CoRR abs/1709.05956 (2017) - [i3]Jacopo Acquarelli, Elena Marchiori, Lutgarde M. C. Buydens, Thanh N. Tran, Twan van Laarhoven:
Convolutional Neural Networks and Data Augmentation for Spectral-Spatial Classification of Hyperspectral Images. CoRR abs/1711.05512 (2017) - 2016
- [j3]Twan van Laarhoven, Elena Marchiori:
Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means. J. Mach. Learn. Res. 17: 147:1-147:28 (2016) - [i2]Twan van Laarhoven, Elena Marchiori:
Local community detection by seed expansion: from conductance to weighted kernel 1-mean optimization. CoRR abs/1601.05775 (2016) - 2014
- [j2]Twan van Laarhoven, Elena Marchiori:
Axioms for graph clustering quality functions. J. Mach. Learn. Res. 15(1): 193-215 (2014) - [c5]Twan van Laarhoven, Elena Marchiori:
Biases of Drug-Target Interaction Network Data. PRIB 2014: 23-33 - 2013
- [c4]Twan van Laarhoven, Elena Marchiori:
Network community detection with edge classifiers trained on LFR graphs. ESANN 2013 - [e1]Alioune Ngom, Enrico Formenti, Jin-Kao Hao, Xing-Ming Zhao, Twan van Laarhoven:
Pattern Recognition in Bioinformatics - 8th IAPR International Conference, PRIB 2013, Nice, France, June 17-20, 2013. Proceedings. Lecture Notes in Computer Science 7986, Springer 2013, ISBN 978-3-642-39158-3 [contents] - [i1]Twan van Laarhoven, Elena Marchiori:
An axiomatic study of objective functions for graph clustering. CoRR abs/1308.3383 (2013) - 2012
- [c3]Daniel Kühlwein, Twan van Laarhoven, Evgeni Tsivtsivadze, Josef Urban, Tom Heskes:
Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics. IJCAR 2012: 378-392 - [c2]Dimitrios Mavroeidis, Lejla Batina, Twan van Laarhoven, Elena Marchiori:
PCA, Eigenvector Localization and Clustering for Side-Channel Attacks on Cryptographic Hardware Devices. ECML/PKDD (1) 2012: 253-268 - [c1]Twan van Laarhoven, Elena Marchiori:
Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks. PRIB 2012: 1-13 - 2011
- [j1]Twan van Laarhoven, Sander B. Nabuurs, Elena Marchiori:
Gaussian interaction profile kernels for predicting drug-target interaction. Bioinform. 27(21): 3036-3043 (2011)
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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