Browsing Scientific Publications in Natural Sciences by Author "Rasmussen, Jeppe Have"
Now showing items 1-5 of 5
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Applying artificial intelligence methods to detect and classify fish calls from the northern gulf of Mexico
Waddell, Emily E.; Rasmussen, Jeppe Have; Sirovic, Ana (Peer reviewed; Journal article, 2021) -
Classification of pig calls produced from birth to slaughter according to their emotional valence and context of production
Briefer, Elodie F.; Sypherd, Ciara C. -R.; Linhart, Pavel; Leliveld, Lisette M. C.; Padilla de la Torre, Monica; Read, Eva R.; Guérin, Carole; Deiss, Véronique; Monestier, Chloé; Rasmussen, Jeppe Have; Špinka, Marek; Düpjan, Sandra; Boissy, Alain; Janczak, Andrew M.; Hillmann, Edna; Tallet, Céline (Peer reviewed; Journal article, 2022)Vocal expression of emotions has been observed across species and could provide a non-invasive and reliable means to assess animal emotions. We investigated if pig vocal indicators of emotions revealed in previous studies ... -
FishSizer: Software solution for efficiently measuring larval fish size
Rasmussen, Jeppe Have; Moyano, Marta; Fuiman, Lee A.; Oomen, Rebekah Alice (Peer reviewed; Journal article, 2022)Length and depth of fish larvae are part of the fundamental measurements in many marine ecology studies involving early fish life history. Until now, obtaining these measurements has required intensive manual labor and the ... -
FishSizer: Software solution for efficiently measuring larval fish size
Rasmussen, Jeppe Have; Moyano, Marta; Fuiman, Lee A.; Oomen, Rebekah Alice (Peer reviewed; Journal article, 2022)Length and depth of fish larvae are part of the fundamental measurements in many marine ecology studies involving early fish life history. Until now, obtaining these measurements has required intensive manual labor and the ... -
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (Peer reviewed; Journal article, 2022)The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ...