Author

A. M. Kramer

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 5

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 4 Research Focus:database / resource· 2 Approach:deep learning· 2 Organism:multiple species· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Assay:metagenomics· 1

Frequent Co-Authors

C. Capinha· 2 shared C. Diagne· 2 shared F. Courchamp· 2 shared A. Ceia-Hasse· 1 shared A. J. Turbelin· 1 shared A. M. Smith· 1 shared A. Mercier· 1 shared A.-C. Vaissiere· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersEcology

C. Capinha

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Incorporating environmental time series into species distribution models

A. M. Smith, C. Capinha, A. M. Kramer

This paper develops a deep learning approach for species distribution models using environmental time series data, achieving accurate predictions without simplifying temporal and spatial variables.

bioRxiv · Oct 26, 2022 · PreprintEcology

Economic costs of biological invasions in the United States

J. Fantle-Lepczyk, P. J. Haubrock, R. N. Cuthbert, A. M. Kramer, A. J. Turbelin, R. Crystal-Ornelas, C. Diagne, F. Courchamp

The paper quantifies the economic costs of invasive species in the United States from 1960 to 2020, finding total costs of $4.52 trillion with most costs related to resource damages and losses.

bioRxiv · Jul 2, 2021Ecology

Spatial spread of white-nose syndrome in North America, 2006-2018

A. M. Kramer, A. Mercier, S. P. Maher, Y. Kumi-Ansu, S. Bowden, J. M. Drake

The paper analyzes the spatial spread of white-nose syndrome in North America from 2006-2018, finding changing factors influencing its spread over time.

bioRxiv · Jan 28, 2021 · PreprintEcology

Analysing economic costs of invasive alien species with the invacost R package

B. Leroy, A. M. Kramer, A.-C. Vaissiere, M. Kourantidou, F. Courchamp, C. Diagne

The paper introduces the invacost R package to analyze and standardize economic costs of invasive alien species using the InvaCost database.

bioRxiv · Dec 10, 2020Ecology

Deep learning classification of temporal data in ecology

C. Capinha, A. Ceia-Hasse, A. M. Kramer, C. Meijer

This paper applies deep learning to classify ecological temporal data without manual feature extraction, showing improved accuracy across three ecological case studies.

bioRxiv · Sep 14, 2020Ecology