Twan van Laarhoven

According to our database1, Twan van Laarhoven authored at least 32 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Compressing spectral kernels in Gaussian Process: Enhanced generalization and interpretability.
Pattern Recognit., 2024

2022
Multitask Gaussian Process With Hierarchical Latent Interactions.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Gaussian processes with skewed Laplace spectral mixture kernels for long-term forecasting.
Mach. Learn., 2021

Going Grayscale: The Road to Understanding and Improving Unlearnable Examples.
CoRR, 2021

Swift sky localization of gravitational waves using deep learning seeded importance sampling.
CoRR, 2021

Evaluating diagnostic content of AI-generated radiology reports of chest X-rays.
Artif. Intell. Medicine, 2021

2020
Generalized Convolution Spectral Mixture for Multitask Gaussian Processes.
IEEE Trans. Neural Networks Learn. Syst., 2020

Multioutput Convolution Spectral Mixture for Gaussian Processes.
IEEE Trans. Neural Networks Learn. Syst., 2020

Skewed Laplace Spectral Mixture kernels for long-term forecasting in Gaussian process.
CoRR, 2020

Softmax Recurrent Unit: A new type of RNN cell.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Incorporating Dependencies in Spectral Kernels for Gaussian Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Unsupervised Domain Adaptation using Graph Transduction Games.
Proceedings of the International Joint Conference on Neural Networks, 2019

Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation.
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.
Signal Process., 2018

Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders.
Sensors, 2018

Spectral-Spatial Classification of Hyperspectral Images: Three Tricks and a New Learning Setting.
Remote. Sens., 2018

Generative models for local network community detection.
CoRR, 2018

Simple Domain Adaptation with Class Prediction Uncertainty Alignment.
CoRR, 2018

Domain Adaptation with Randomized Expectation Maximization.
CoRR, 2018

2017
Convolutional Neural Networks and Data Augmentation for Spectral-Spatial Classification of Hyperspectral Images.
CoRR, 2017

Biased Bagging for Unsupervised Domain Adaptation.
CoRR, 2017

L2 Regularization versus Batch and Weight Normalization.
CoRR, 2017

2016
Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means.
J. Mach. Learn. Res., 2016

Local community detection by seed expansion: from conductance to weighted kernel 1-mean optimization.
CoRR, 2016

2014
Axioms for graph clustering quality functions.
J. Mach. Learn. Res., 2014

Biases of Drug-Target Interaction Network Data.
Proceedings of the Pattern Recognition in Bioinformatics, 2014

2013
An axiomatic study of objective functions for graph clustering.
CoRR, 2013

Network community detection with edge classifiers trained on LFR graphs.
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.
Proceedings of the Pattern Recognition in Bioinformatics, 2012

PCA, Eigenvector Localization and Clustering for Side-Channel Attacks on Cryptographic Hardware Devices.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics.
Proceedings of the Automated Reasoning - 6th International Joint Conference, 2012

2011
Gaussian interaction profile kernels for predicting drug-target interaction.
Bioinform., 2011


  Loading...