Daniel F. Schmidt
Orcid: 0000-0002-1788-2375Affiliations:
- Centre for MEGA Epidemiology, University of Melbourne, Australia
According to our database1,
Daniel F. Schmidt
authored at least 55 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data.
CoRR, 2024
2023
Hydra: competing convolutional kernels for fast and accurate time series classification.
Data Min. Knowl. Discov., September, 2023
Mach. Learn., July, 2023
Stat. Comput., June, 2023
A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping.
Mach. Learn., June, 2023
Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions.
Int. J. Neural Syst., 2023
From Prediction to Action: The Critical Role of Proper Performance Estimation for Machine-Learning-Driven Materials Discovery.
CoRR, 2023
Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach.
CoRR, 2023
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.
CoRR, 2023
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Computing Marginal and Conditional Divergences between Decomposable Models with Applications.
Proceedings of the IEEE International Conference on Data Mining, 2023
Minimum Message Length Inference of the Weibull Distribution with Complete and Censored Data.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
An efficient algorithm for sampling from sin<sup><i>k</i></sup> (<i>x</i>) for generating random correlation matrices.
Commun. Stat. Simul. Comput., 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
2021
Minimum Message Length Inference of the Exponential Distribution with Type I Censoring.
Entropy, 2021
MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 31st Data Compression Conference, 2021
2020
Data Min. Knowl. Discov., 2020
A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping.
CoRR, 2020
Unsupervised Domain Adaptation Techniques for Classification of Satellite Image Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
CoRR, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Exploring Data Quantity Requirements for Domain Adaptation in the Classification of Satellite Image Time Series.
Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019
2018
2017
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
2016
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016
Approximating Message Lengths of Hierarchical Bayesian Models Using Posterior Sampling.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016
2015
High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies.
Health Inf. Sci. Syst., 2015
2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
DEPTH: A Novel Algorithm for Feature Ranking with Application to Genome-Wide Association Studies.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2012
The Consistency of MDL for Linear Regression Models With Increasing Signal-to-Noise Ratio.
IEEE Trans. Signal Process., 2012
Supercomputing enabling exhaustive statistical analysis of genome wide association study data: Preliminary results.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Minimum Message Length Inference and Mixture Modelling of Inverse Gaussian Distributions.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
2011
IEEE Trans. Signal Process., 2011
Minimum Message Length Order Selection and Parameter Estimation of Moving Average Models.
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011
A Simple Bayesian Algorithm for Feature Ranking in High Dimensional Regression Problems.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
2010
Fast Computation of the Kullback-Leibler Divergence and Exact Fisher Information for the First-Order Moving Average Model.
IEEE Signal Process. Lett., 2010
The Behaviour of the Akaike Information Criterion When Applied to Non-nested Sequences of Models.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
Review of Modern Logistic Regression Methods with Application to Small and Medium Sample Size Problems.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
2009
Proceedings of the User Modeling, 2009
Proceedings of the 7th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'09), Pasadena, California, USA, July 11-17, 2009 in conjunction with the 21st International Joint Conference on Artificial Intelligence, 2009
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
2008
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008
2005
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005
2004
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004