Max Hinne

Orcid: 0000-0002-9279-6725

According to our database1, Max Hinne authored at least 25 papers between 2009 and 2024.

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Bibliography

2024
Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo.
Entropy, August, 2024

2023
Clustering children's learning behaviour to identify self-regulated learning support needs.
Comput. Hum. Behav., August, 2023

2021
Automatic structured variational inference.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Validation of structural brain connectivity networks: The impact of scanning parameters.
NeuroImage, 2020

Automatic structured variational inference.
CoRR, 2020

The Indian Chefs Process.
CoRR, 2020

The Indian Chefs Process.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Spectral discontinuity design: Interrupted time series with spectral mixture kernels.
Proceedings of the Machine Learning for Health Workshop, 2020

2019
Causal inference using Bayesian non-parametric quasi-experimental design.
CoRR, 2019

Forward Amortized Inference for Likelihood-Free Variational Marginalization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Wasserstein Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
The missing link: Predicting connectomes from noisy and partially observed tract tracing data.
PLoS Comput. Biol., 2017

GP CaKe: Effective brain connectivity with causal kernels.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates.
PLoS Comput. Biol., 2015

2014
Structurally-informed Bayesian functional connectivity analysis.
NeuroImage, 2014

Quantifying uncertainty in brain network measures using Bayesian connectomics.
Frontiers Comput. Neurosci., 2014

2013
Bayesian inference of structural brain networks.
NeuroImage, 2013

Reliability and validity of query intent assessments.
J. Assoc. Inf. Sci. Technol., 2013

2011
Cutting Graphs Using Competing Ant Colonies and an Edge Clustering Heuristic.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

2010
DIR 2010: the tenth Dutch-Belgian information retrieval workshop.
SIGIR Forum, 2010

How does the Library Searcher Behave? A Contrastive Study of Library Search against Ad-hoc Search.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

2009
Using query logs and click data to create improved document descriptions.
Proceedings of the 2009 workshop on Web Search Click Data, 2009

Annotating URLs with Query Terms: What Factors Predict Reliable Annotations?
Proceedings of the Workshop on Understanding the User, 2009

Annotation of URLs: more than the sum of parts.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009


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