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- Cástor Guisande, Andrés J. Rueda-Quecho, Fabián A. Rangel-Silva, Jürgen Heine, Emilio García Roselló, Jacinto González Dacosta, Patricia Pelayo-Villamil. VIDTAXA: An algorithm for the identification of statistically different groups based on variability obtained in factorial analyses. Ecological Informatics, 49:62-68, 2019.
- Gabriel Jácome, Paulina Vilela, ChangKyoo Yoo. Social-ecological modelling of the spatial distribution of dengue fever and its temporal dynamics in Guayaquil, Ecuador for climate change adaption. Ecological Informatics, 49:1-12, 2019.
- K. Athira, N. P. Sooraj, R. Jaishanker, V. Saroj Kumar, C. R. Sajeev, M. S. Pillai, A. Govind, N. Ramarao, V. K. Dadhwal. Chromatic exclusivity hypothesis and the physical basis of floral color. Ecological Informatics, 49:40-44, 2019.
- Adrià López-Baucells, Laura Torrent, Ricardo Rocha, Paulo E. D. Bobrowiec, Jorge M. Palmeirim, Christoph F. J. Meyer. Stronger together: Combining automated classifiers with manual post-validation optimizes the workload vs reliability trade-off of species identification in bat acoustic surveys. Ecological Informatics, 49:45-53, 2019.
- Alex R. Hardisty, William K. Michener, Donat Agosti, Enrique Alonso García, Lucy Bastin, Lee Belbin, Anne Bowser, Pier Luigi Buttigieg, Dora Ann Lange Canhos, Willi Egloff, Renato De Giovanni, Rui Figueira, Quentin Groom, Robert P. Guralnick, Donald Hobern, Wim Hugo, Dimitris Koureas, Liqiang Ji, W. Daniel Kissling. The Bari Manifesto: An interoperability framework for essential biodiversity variables. Ecological Informatics, 49:22-31, 2019.
- Kermorvant Claire, Caill-Milly Nathalie, Bru Noëlle, D'Amico Frank. Optimizing cost-efficiency of long term monitoring programs by using spatially balanced sampling designs: The case of manila clams in Arcachon bay. Ecological Informatics, 49:32-39, 2019.
- Guiming Wang. Machine learning for inferring animal behavior from location and movement data. Ecological Informatics, 49:69-76, 2019.
- Elena Chianese, Francesco Camastra, Angelo Ciaramella, Tony Christian Landi, Antonino Staiano, Angelo Riccio. Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. Ecological Informatics, 49:54-61, 2019.
- Suhas K. Kadam, Asif S. Tamboli, Susmit B. Sambhare, Byong-Hun Jeon, Sanjay P. Govindwar. B. subtilis SK1 after textile dye exposure. Ecological Informatics, 48:269-280, 2018.