Twan van Laarhoven

According to our database, Twan van Laarhoven authored at least 31 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Multitask Gaussian Process With Hierarchical Latent Interactions.

Kai Chen, Twan van Laarhoven, Elena Marchiori, Feng Yin, Shuguang Cui

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Gaussian processes with skewed Laplace spectral mixture kernels for long-term forecasting.

Kai Chen, Twan van Laarhoven, Elena Marchiori

Mach. Learn., 2021

Going Grayscale: The Road to Understanding and Improving Unlearnable Examples.

Zhuoran Liu, Zhengyu Zhao, Alex Kolmus, Tijn Berns, Twan van Laarhoven, Tom Heskes, Martha A. Larson

CoRR, 2021

Swift sky localization of gravitational waves using deep learning seeded importance sampling.

Alex Kolmus, Grégory Baltus, Justin Janquart, Twan van Laarhoven, Sarah Caudill, Tom Heskes

CoRR, 2021

Evaluating diagnostic content of AI-generated radiology reports of chest X-rays.

Zaheer Babar, Twan van Laarhoven, Fabio Massimo Zanzotto, Elena Marchiori

Artif. Intell. Medicine, 2021

2020

Generalized Convolution Spectral Mixture for Multitask Gaussian Processes.

Kai Chen, Twan van Laarhoven, Perry Groot, Jinsong Chen, Elena Marchiori

IEEE Trans. Neural Networks Learn. Syst., 2020

Multioutput Convolution Spectral Mixture for Gaussian Processes.

Kai Chen, Twan van Laarhoven, Perry Groot, Jinsong Chen, Elena Marchiori

IEEE Trans. Neural Networks Learn. Syst., 2020

Skewed Laplace Spectral Mixture kernels for long-term forecasting in Gaussian process.

Kai Chen, Twan van Laarhoven, Elena Marchiori

CoRR, 2020

Softmax Recurrent Unit: A new type of RNN cell.

Lucas Vos, Twan van Laarhoven

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Incorporating Dependencies in Spectral Kernels for Gaussian Processes.

Kai Chen, Twan van Laarhoven, Jinsong Chen, Elena Marchiori

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Unsupervised Domain Adaptation using Graph Transduction Games.

Sebastiano Vascon, Sinem Aslan, Alessandro Torcinovich, Twan van Laarhoven, Elena Marchiori, Marcello Pelillo

Proceedings of the International Joint Conference on Neural Networks, 2019

Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation.

Jeroen Manders, Twan van Laarhoven, Elena Marchiori

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018

Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders.

Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Twan van Laarhoven, Giuseppe Jurman, Paola Venuti, Elena Marchiori, Cesare Furlanello

Signal Process., 2018

Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders.

Nastaran Mohammadian Rad, Twan van Laarhoven, Cesare Furlanello, Elena Marchiori

Sensors, 2018

Spectral-Spatial Classification of Hyperspectral Images: Three Tricks and a New Learning Setting.

Jacopo Acquarelli, Elena Marchiori, Lutgarde M. C. Buydens, Thanh N. Tran, Twan van Laarhoven

Remote. Sens., 2018

Generative models for local network community detection.

Twan van Laarhoven

CoRR, 2018

Simple Domain Adaptation with Class Prediction Uncertainty Alignment.

Jeroen Manders, Elena Marchiori, Twan van Laarhoven

CoRR, 2018

Domain Adaptation with Randomized Expectation Maximization.

Twan van Laarhoven, Elena Marchiori

CoRR, 2018

2017

Convolutional Neural Networks and Data Augmentation for Spectral-Spatial Classification of Hyperspectral Images.

Jacopo Acquarelli, Elena Marchiori, Lutgarde M. C. Buydens, Thanh N. Tran, Twan van Laarhoven

CoRR, 2017

Biased Bagging for Unsupervised Domain Adaptation.

Twan van Laarhoven, Elena Marchiori

CoRR, 2017

L2 Regularization versus Batch and Weight Normalization.

Twan van Laarhoven

CoRR, 2017

2016

Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means.

Twan van Laarhoven, Elena Marchiori

J. Mach. Learn. Res., 2016

Local community detection by seed expansion: from conductance to weighted kernel 1-mean optimization.

Twan van Laarhoven, Elena Marchiori

CoRR, 2016

2014

Axioms for graph clustering quality functions.

Twan van Laarhoven, Elena Marchiori

J. Mach. Learn. Res., 2014

Biases of Drug-Target Interaction Network Data.

Twan van Laarhoven, Elena Marchiori

Proceedings of the Pattern Recognition in Bioinformatics, 2014

2013

An axiomatic study of objective functions for graph clustering.

Twan van Laarhoven, Elena Marchiori

CoRR, 2013

Network community detection with edge classifiers trained on LFR graphs.

Twan van Laarhoven, Elena Marchiori

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks.

Twan van Laarhoven, Elena Marchiori

Proceedings of the Pattern Recognition in Bioinformatics, 2012

PCA, Eigenvector Localization and Clustering for Side-Channel Attacks on Cryptographic Hardware Devices.

Dimitrios Mavroeidis, Lejla Batina, Twan van Laarhoven, Elena Marchiori

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics.

Daniel Kühlwein, Twan van Laarhoven, Evgeni Tsivtsivadze, Josef Urban, Tom Heskes

Proceedings of the Automated Reasoning - 6th International Joint Conference, 2012

2011

Gaussian interaction profile kernels for predicting drug-target interaction.

Twan van Laarhoven, Sander B. Nabuurs, Elena Marchiori

Bioinform., 2011