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Ali Khalighifar
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The effects of light pollution on migratory animal behavior
CS Burt, JF Kelly, GE Trankina, CL Silva, A Khalighifar, HC Jenkins-Smith, ...
Trends in ecology & evolution 38 (4), 355-368, 2023
392023
Deep learning algorithms improve automated identification of Chagas disease vectors
A Khalighifar, E Komp, JM Ramsey, R Gurgel-Gonçalves, AT Peterson
Journal of medical entomology 56 (5), 1404-1410, 2019
362019
Automated identification of insect vectors of Chagas disease in Brazil and Mexico: the Virtual Vector Lab
R Gurgel-Gonçalves, E Komp, LP Campbell, A Khalighifar, J Mellenbruch, ...
PeerJ 5, e3040, 2017
332017
Application of deep learning to community-science-based mosquito monitoring and detection of novel species
A Khalighifar, D Jiménez-García, LP Campbell, KM Ahadji-Dabla, ...
Journal of medical entomology 59 (1), 355-362, 2022
172022
Deep learning improves acoustic biodiversity monitoring and new candidate forest frog species identification (genus Platymantis) in the Philippines
A Khalighifar, RM Brown, J Goyes Vallejos, AT Peterson
Biodiversity and Conservation 30, 643-657, 2021
122021
Inventory statistics meet big data: complications for estimating numbers of species
A Khalighifar, L Jiménez, C Nuñez-Penichet, B Freeman, K Ingenloff, ...
PeerJ 8, e8872, 2020
42020
Can ecological forecasting lead to convergence on sustainable lighting policies?
CS Burt, JF Kelly, AS Fox, HC Jenkins‐Smith, M Leon‐Corwin, ...
Conservation Science and Practice 5 (4), e12920, 2023
32023
NABat ML: Utilizing deep learning to enable crowdsourced development of automated, scalable solutions for documenting North American bat populations
A Khalighifar, BS Gotthold, E Adams, J Barnett, LO Beard, ER Britzke, ...
Journal of Applied Ecology 59 (11), 2849-2862, 2022
32022
On the potential of documenting decadal-scale avifaunal change from before-and-after comparisons of museum and observational data across North America
F Machado-Stredel, B Freeman, D Jiménez-Garcia, ME Cobos, ...
Avian Research 13, 100005, 2022
22022
Inequalities in noise will affect urban wildlife
JR Nelson-Olivieri, TJ Layden, E Antunez, A Khalighifar, M Lasky, ...
Nature Ecology & Evolution 8 (1), 163-174, 2024
12024
Cellphone picture-based, genus-level automated identification of Chagas disease vectors: Effects of picture orientation on the performance of five machine-learning algorithms
VL de Miranda, EP de Souza, D Bambil, A Khalighifar, AT Peterson, ...
Ecological Informatics 79, 102430, 2024
2024
Shooting in the dark: automatic identification of disease vectors without taxonomic expert supervision
R Gurgel-Gonçalves, VL de Miranda, A Khalighifar, AT Peterson
Ecological Informatics 75, 102029, 2023
2023
It's not just noise: The consequences of inequitable noise for urban wildlife
J Nelson-Olivieri, T Layden, E Antunez, A Khalighifar, M Lasky, T Laverty, ...
2023
Application of Deep Learning to Automated Species Identification Systems
A Khalighifar
University of Kansas, 2020
2020
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