Author

J. Dainys

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

Biology Disciplines

Click to filter author papers

Ecology· 5

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:ecology & biodiversity· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Assay:imaging· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Audzijonyte· 5 shared E. Jakubaviciute· 2 shared H. Gorfine· 2 shared J. T. Deweber· 2 shared L. Lozys· 2 shared S. Simmons· 2 shared V. Vienozinskis· 2 shared Z. Putys· 2 shared

Activity by Year

2022-2022 · peak 5/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

5 shared papersEcology

A. Audzijonyte

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

A machine learning based image classification method to estimate fish sizes from images without a specified reference object

C. Nunes Soares Silva, J. Dainys, S. Simmons, A. Audzijonyte

The paper presents a machine learning method to estimate fish size classes from photos of anglers holding fish, achieving ~50% accuracy with limited data.

bioRxiv · Dec 27, 2022 · PreprintEcology

Status and future perspectives for pikeperch (Sander lucioperca) stocks in Europe

E. Jakubaviciute, T. Arula, J. Dainys, J. T. Deweber, H. Gorfine, L. S. Harkonen, P. Hyvarinen, K. Hommik, J. Kubecka, L. Lozys, N. Mustamaki, R. Naddafi, M. Olin, Z. Putys, E. Sepp, , A. Audzijonyte

The paper assesses pikeperch stocks across Europe, finding some depleted and others recovering, highlighting the need for better data and management.

bioRxiv · Dec 20, 2022Ecology

High-resolution app data reveal sustained increases in recreational fishing effort in Europe during and after COVID-19 lockdowns

A. Audzijonyte, F. M. Gonzalez, J. Dainys, C. Gundelund, C. Skov, J. T. DeWeber, P. A. Venturelli, V. Vienozinskis, C. Smith

This study uses high-resolution app data to show increased recreational fishing effort in Europe during and after COVID-19 lockdowns, with effort remaining elevated by the end of 2021.

bioRxiv · Dec 7, 2022Ecology

A scalable open-source framework for machine learning based image collection, annotation and classification: a case study for automatic fish species identification

C. N. S. Silva, J. Dainys, S. Simmons, V. Vienozinskis, A. Audzijonyte

bioRxiv · Jun 29, 2022Ecology

Impacts of recreational angling on fish population recovery after a commercial fishing ban

J. Dainys, E. Jakubaviciute, H. Gorfine, M. Kirka, A. Rakleviciute, A. Morkvenas, Z. Putys, L. Lozys, A. Audzijonyte

This study shows recreational fishing significantly slows recovery of predatory fish species in a lake after a commercial fishing ban, while non-target species recover rapidly.

bioRxiv · Mar 7, 2022Ecology