Automating the analysis of fish grazing behaviour from videos using image classification and optical flow

Identification of animal individuals using deep learning: A case study of giant panda

(2020) Jin Hou et al.   BIOLOGICAL CONSERVATION

Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach

(2020) Manuel González-Rivero et al.   Remote Sensing

Automating the Analysis of Fish Abundance Using Object Detection: Optimizing Animal Ecology With Deep Learning

(2020) Ellen M. Ditria et al.   Frontiers in Marine Science

Comparative analysis of noise effects on wild and captive freshwater fish behaviour

(2020) Rachel H. Pieniazek et al.   ANIMAL BEHAVIOUR

A comparison of deep learning and citizen science techniques for counting wildlife in aerial survey images

(2019) Colin J. Torney et al.   Methods in Ecology and Evolution

Evaluation of fish feeding intensity in aquaculture using a convolutional neural network and machine vision

(2019) Chao Zhou et al.   AQUACULTURE

Handcrafted features and late fusion with deep learning for bird sound classification

(2019) Jie Xie et al.   Ecological Informatics

Drones and convolutional neural networks facilitate automated and accurate cetacean species identification and photogrammetry

(2019) Patrick C. Gray et al.   Methods in Ecology and Evolution

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

(2019) Jacob M Graving et al.   eLife

Turbidity increases risk perception but constrains collective behaviour during foraging by fish shoals

(2019) Alice C. Chamberlain et al.   ANIMAL BEHAVIOUR

Transferring deep knowledge for object recognition in Low-quality underwater videos

(2018) Xin Sun et al.   NEUROCOMPUTING

Challenges and solutions for studying collective animal behaviour in the wild

(2018) Lacey F. Hughey et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

(2018) Mohammad Sadegh Norouzzadeh et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Comprehensive machine learning analysis of Hydra behavior reveals a stable basal behavioral repertoire

(2018) Shuting Han et al.   eLife

Automatic recognition of sow nursing behaviour using deep learning-based segmentation and spatial and temporal features

(2018) Aqing Yang et al.   BIOSYSTEMS ENGINEERING

A Deep learning method for accurate and fast identification of coral reef fishes in underwater images

(2018) Sébastien Villon et al.   Ecological Informatics

A Convolutional Neural Network for Detecting Sea Turtles in Drone Imagery

(2018) Patrick C. Gray et al.   Methods in Ecology and Evolution

A computer vision for animal ecology

(2017) Ben G. Weinstein   JOURNAL OF ANIMAL ECOLOGY

Diversity of trophic niches among herbivorous fishes on a Caribbean reef (Guadeloupe, Lesser Antilles), evidenced by stable isotope and gut content analyses

(2015) Charlotte R. Dromard et al.   JOURNAL OF SEA RESEARCH

Deep learning

(2015) Yann LeCun et al.   NATURE

Experimental evidence for species-specific response to turbidity in imperilled fishes

(2014) Suzanne M. Gray et al.   AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS

An FPGA based high performance optical flow hardware design for computer vision applications

(2013) Gokhan Koray Gultekin et al.   MICROPROCESSORS AND MICROSYSTEMS

Experimentally increased turbidity causes behavioural shifts in Lake Malawi cichlids

(2011) Suzanne M. Gray et al.   ECOLOGY OF FRESHWATER FISH

Testing a new acoustic telemetry technique to quantify long-term, fine-scale movements of aquatic animals

(2011) Mario Espinoza et al.   FISHERIES RESEARCH

Communication in troubled waters: responses of fish communication systems to changing environments

(2010) Inke van der Sluijs et al.   EVOLUTIONARY ECOLOGY

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION