Enes Makalic

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 13

Top Topics

Generalized Linear Models

Hierarchical Bayesian Models

Minimum Message Length

Top Venues

Australasian Conference on Artificial Intelligence

IEEE Signal Process. Lett.

Publications

Enes Makalic, Daniel F. Schmidt
Maximum likelihood estimation of the Weibull distribution with reduced bias. Stat. Comput. 33 (3) (2023)
Enes Makalic, Daniel F. Schmidt
Minimum Message Length Inference of the Weibull Distribution with Complete and Censored Data. AI (1) (2023)
Shu Yu Tew, Daniel F. Schmidt, Enes Makalic
Sparse Horseshoe Estimation via Expectation-Maximisation. ECML/PKDD (5) (2022)
Enes Makalic, Daniel F. Schmidt
) for generating random correlation matrices. Commun. Stat. Simul. Comput. 51 (5) (2022)
Shu Yu Tew, Daniel F. Schmidt, Enes Makalic
Sparse Horseshoe Estimation via Expectation-Maximisation. CoRR (2022)
Enes Makalic, Daniel Francis Schmidt
Minimum Message Length Inference of the Exponential Distribution with Type I Censoring. Entropy 23 (11) (2021)
Daniel F. Schmidt, Enes Makalic
Bayesian Generalized Horseshoe Estimation of Generalized Linear Models. ECML/PKDD (2) (2019)
Daniel F. Schmidt, Enes Makalic
Adaptive Bayesian Shrinkage Estimation Using Log-Scale Shrinkage Priors. CoRR (2018)
Daniel F. Schmidt, Enes Makalic
Robust Lasso Regression with Student-t Residuals. Australasian Conference on Artificial Intelligence (2017)
Enes Makalic, Daniel F. Schmidt, John L. Hopper
Bayesian Robust Regression with the Horseshoe+ Estimator. Australasian Conference on Artificial Intelligence (2016)
Daniel F. Schmidt, Enes Makalic, John L. Hopper
Approximating Message Lengths of Hierarchical Bayesian Models Using Posterior Sampling. Australasian Conference on Artificial Intelligence (2016)
Zemei Xu, Daniel F. Schmidt, Enes Makalic, Guoqi Q. Qian, John L. Hopper
Bayesian Grouped Horseshoe Regression with Application to Additive Models. Australasian Conference on Artificial Intelligence (2016)
Enes Makalic, Daniel F. Schmidt
A Simple Sampler for the Horseshoe Estimator. IEEE Signal Process. Lett. 23 (1) (2016)
Benjamin Goudey, Mani Abedini, John L. Hopper, Michael Inouye, Enes Makalic, Daniel F. Schmidt, John Wagner, Zeyu Zhou, Justin Zobel, Matthias Reumann
High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies. Health Inf. Sci. Syst. 3 (1) (2015)
Daniel F. Schmidt, Enes Makalic
Minimum Message Length Ridge Regression for Generalized Linear Models. Australasian Conference on Artificial Intelligence (2013)
Enes Makalic, Daniel F. Schmidt, John L. Hopper
DEPTH: A Novel Algorithm for Feature Ranking with Application to Genome-Wide Association Studies. Australasian Conference on Artificial Intelligence (2013)
Daniel F. Schmidt, Enes Makalic
Minimum Message Length Inference and Mixture Modelling of Inverse Gaussian Distributions. Australasian Conference on Artificial Intelligence (2012)
Enes Makalic, Daniel F. Schmidt
MML Logistic Regression with Translation and Rotation Invariant Priors. Australasian Conference on Artificial Intelligence (2012)
Matthias Reumann, Enes Makalic, Benjamin W. Goudey, Michael Inouye, Adrian Bickerstaffe, Minh Bui, Daniel J. Park, Miroslaw K. Kapuscinski, Daniel F. Schmidt, Zeyu Zhou, Guoqi Q. Qian, Justin Zobel, John Wagner, John L. Hopper
Supercomputing enabling exhaustive statistical analysis of genome wide association study data: Preliminary results. EMBC (2012)
Daniel Francis Schmidt, Enes Makalic
The Consistency of MDL for Linear Regression Models With Increasing Signal-to-Noise Ratio. IEEE Trans. Signal Process. 60 (3) (2012)
Daniel Francis Schmidt, Enes Makalic
Estimating the Order of an Autoregressive Model Using Normalized Maximum Likelihood. IEEE Trans. Signal Process. 59 (2) (2011)
Enes Makalic, Daniel Francis Schmidt
A Simple Bayesian Algorithm for Feature Ranking in High Dimensional Regression Problems. Australasian Conference on Artificial Intelligence (2011)
Enes Makalic, Lloyd Allison
MMLD Inference of Multilayer Perceptrons. Algorithmic Probability and Friends (2011)
Enes Makalic, Daniel F. Schmidt
Minimum Message Length Analysis of the Behrens-Fisher Problem. Algorithmic Probability and Friends (2011)
Enes Makalic, Daniel Francis Schmidt
Logistic Regression with the Nonnegative Garrote. Australasian Conference on Artificial Intelligence (2011)
Enes Makalic, Daniel Francis Schmidt
Fast Computation of the Kullback-Leibler Divergence and Exact Fisher Information for the First-Order Moving Average Model. IEEE Signal Process. Lett. 17 (4) (2010)
Daniel Francis Schmidt, Enes Makalic
The Behaviour of the Akaike Information Criterion When Applied to Non-nested Sequences of Models. Australasian Conference on Artificial Intelligence (2010)
Enes Makalic, Daniel Francis Schmidt
Review of Modern Logistic Regression Methods with Application to Small and Medium Sample Size Problems. Australasian Conference on Artificial Intelligence (2010)
Ingrid Zukerman, Patrick Ye, Kapil Kumar Gupta, Enes Makalic
Towards the Interpretation of Utterance Sequences in a Dialogue System. SIGDIAL Conference (2009)
Daniel Francis Schmidt, Enes Makalic
MML Invariant Linear Regression. Australasian Conference on Artificial Intelligence (2009)
Daniel Francis Schmidt, Enes Makalic
Universal models for the exponential distribution. IEEE Trans. Inf. Theory 55 (7) (2009)
Enes Makalic, Ingrid Zukerman, Michael Niemann
A spoken language interpretation component for a robot dialogue system. INTERSPEECH (2008)
Enes Makalic, Ingrid Zukerman, Michael Niemann, Daniel Francis Schmidt
A Probabilistic Model for Understanding Composite Spoken Descriptions. PRICAI (2008)
Ingrid Zukerman, Enes Makalic, Michael Niemann, Sarah George
A Probabilistic Approach to the Interpretation of Spoken Utterances. PRICAI (2008)
Ingrid Zukerman, Enes Makalic, Michael Niemann
Using Probabilistic Feature Matching to Understand Spoken Descriptions. Australasian Conference on Artificial Intelligence (2008)
Michael Niemann, Ingrid Zukerman, Enes Makalic, Sarah George
Hypothesis Generation and Maintenance in the Interpretation of Spoken Utterances. Australian Conference on Artificial Intelligence (2007)
Adrian C. Bickerstaffe, Enes Makalic
MML Classification of Music Genres. Australian Conference on Artificial Intelligence (2003)