Maximilian Pichler

发表

Machine Learning and Deep Learning -- A review for Ecologists

F. Hartig, Maximilian Pichler, 2022, 2204.05023.

Machine learning and deep learning—A review for ecologists

F. Hartig, Maximilian Pichler, 2022, Methods in Ecology and Evolution.

Linking functional traits and demography to model species-rich communities

Daniel B. Stouffer, D. Stouffer, F. Hartig, 2021, Nature Communications.

Fixed or random? On the reliability of mixed‐effects models for a small number of levels in grouping variables

Melina de Souza Leite, Maximilian Pichler, Johannes Oberpriller, 2021, bioRxiv.

A new joint species distribution model for faster and more accurate inference of species associations from big community data

Florian Hartig, Maximilian Pichler, F. Hartig, 2020, Methods in Ecology and Evolution.

Machine learning algorithms to infer trait‐matching and predict species interactions in ecological networks pdf

Florian Hartig, Maximilian Pichler, Virginie Boreux, 2019, Methods in Ecology and Evolution.

Controllability of an aircraft with active high-lift system using a segmentwise controllable flap system

Peter Hecker, Meiko Steen, Jobst Henning Diekmann, 2018 .

Machine learning algorithms predict soil seed bank persistence from easily available traits

P. Poschlod, S. Rosbakh, Maximilian Pichler, 2022, bioRxiv.

Can predictive models be used for causal inference?

F. Hartig, Maximilian Pichler, 2023, ArXiv.

A new joint species distribution model for faster and more accurate inference of species associations from big community data

F. Hartig, Maximilian Pichler, 2020, Methods in Ecology and Evolution.

A new method for faster and more accurate inference of species associations from novel community data

Maximilian Pichler, F. Hartig, 2020 .