Daniel Schmidt

Daniel Schmidt

Monash University

H-index: 37

Oceania-Australia

About Daniel Schmidt

Daniel Schmidt, With an exceptional h-index of 37 and a recent h-index of 32 (since 2020), a distinguished researcher at Monash University, specializes in the field of Statistics, Machine Learning, Time Series.

His recent articles reflect a diverse array of research interests and contributions to the field:

Roadmap on Data-Centric Materials Science

PmxPred: A data-driven approach for the identification of active polymyxin analogues against gram-negative bacteria

Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization

Genetic and environmental causes of variation in an automated breast cancer risk factor based on mammographic textures

Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data

Local and global trend Bayesian exponential smoothing models

AutoCumulus: an Automated Mammographic Density Measure Created Using Artificial Intelligence

An approach to multiple comparison benchmark evaluations that is stable under manipulation of the comparate set

Daniel Schmidt Information

University

Position

Senior Lecturer (Data Science) Faculty of Information Technology

Citations(all)

11309

Citations(since 2020)

7894

Cited By

5675

hIndex(all)

37

hIndex(since 2020)

32

i10Index(all)

74

i10Index(since 2020)

62

Email

University Profile Page

Monash University

Google Scholar

View Google Scholar Profile

Daniel Schmidt Skills & Research Interests

Statistics

Machine Learning

Time Series

Top articles of Daniel Schmidt

Title

Journal

Author(s)

Publication Date

Roadmap on Data-Centric Materials Science

Matthias Scheffler

Stefan Bauer

Peter Benner

Tristan Bereau

Volker Blum

...

2024/3/1

PmxPred: A data-driven approach for the identification of active polymyxin analogues against gram-negative bacteria

Computers in Biology and Medicine

Xiaoyu Wang

Nitin Patil

Fuyi Li

Zhikang Wang

Haolan Zhan

...

2024/1/1

Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization

Advances in Neural Information Processing Systems

Shu Yu Tew

Mario Boley

Daniel Schmidt

2024/2/13

Genetic and environmental causes of variation in an automated breast cancer risk factor based on mammographic textures

Cancer Epidemiology, Biomarkers & Prevention

Zhoufeng Ye

Gillian S Dite

Tuong L Nguyen

Robert J MacInnis

Daniel F Schmidt

...

2024/2/6

Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data

arXiv preprint arXiv:2401.15610

Angus Dempster

Geoffrey I Webb

Daniel F Schmidt

2024/1/28

Local and global trend Bayesian exponential smoothing models

International Journal of Forecasting

Slawek Smyl

Christoph Bergmeir

Alexander Dokumentov

Xueying Long

Erwin Wibowo

...

2024/4/18

AutoCumulus: an Automated Mammographic Density Measure Created Using Artificial Intelligence

medRxiv

Osamah Al-qershi

Tuong L Nguyen

Michael E Elliott

Daniel F Schmidt

Enes Makalic

...

2024

An approach to multiple comparison benchmark evaluations that is stable under manipulation of the comparate set

arXiv preprint arXiv:2305.11921

Ali Ismail-Fawaz

Angus Dempster

Chang Wei Tan

Matthieu Herrmann

Lynn Miller

...

2023/5/19

SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting

Machine Learning

Rakshitha Godahewa

Geoffrey I Webb

Daniel Schmidt

Christoph Bergmeir

2023/7

Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

Cancer Epidemiology, Biomarkers & Prevention

John Lai

Chi Kuen Wong

Daniel F Schmidt

Miroslaw K Kapuscinski

Karen Alpen

...

2023/9/1

From Prediction to Action: Critical Role of Performance Estimation for Machine-Learning-Driven Materials Discovery

arXiv e-prints

Mario Boley

Felix Luong

Simon Teshuva

Daniel F Schmidt

Lucas Foppa

...

2023/11

Brain model state space reconstruction using an LSTM neural network

Journal of Neural Engineering

Yueyang Liu

Artemio Soto-Breceda

Philippa Karoly

David B Grayden

Yun Zhao

...

2023/6/1

Causal relationships between breast cancer mammogram risk scores based on textural features and density

Zhoufeng Ye

Tuong L Nguyen

Gillian S Dite

Robert J MacInnis

Daniel F Schmidt

...

2023/2/9

Hydra: Competing convolutional kernels for fast and accurate time series classification

Data Mining and Knowledge Discovery

Angus Dempster

Daniel F Schmidt

Geoffrey I Webb

2023/9

Causal relationships between breast cancer risk factors based on mammographic features

Breast Cancer Research

Zhoufeng Ye

Tuong L Nguyen

Gillian S Dite

Robert J MacInnis

Daniel F Schmidt

...

2023/10/25

Computing Marginal and Conditional Divergences between Decomposable Models with Applications

Loong Kuan Lee

Geoffrey I Webb

Daniel F Schmidt

Nico Piatkowski

2023/12/1

IEA

International Journal of Epidemiology

Reza Ghiasvand

Leon AM Berge

Bettina K Andreassen

Jo S Stenehjem

Trond Heir

...

2022

Maximum likelihood estimation of the Weibull distribution with reduced bias

Statistics and Computing

Enes Makalic

Daniel F Schmidt

2023/6

QUANT: A Minimalist Interval Method for Time Series Classification

arXiv preprint arXiv:2308.00928

Angus Dempster

Daniel F Schmidt

Geoffrey I Webb

2023/8/2

Time series adversarial attacks: an investigation of smooth perturbations and defense approaches

International Journal of Data Science and Analytics

Gautier Pialla

Hassan Ismail Fawaz

Maxime Devanne

Jonathan Weber

Lhassane Idoumghar

...

2023/10/24

See List of Professors in Daniel Schmidt University(Monash University)