Related references
Note: Only part of the references are listed.Targeting customers for profit: An ensemble learning framework to support marketing decision-making
Stefan Lessmann et al.
INFORMATION SCIENCES (2021)
The slow rise of technology: Computer vision techniques in fish population connectivity
Sebastian Lopez-Marcano et al.
AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS (2021)
Deep learning for smart fish farming: applications, opportunities and challenges
Xinting Yang et al.
REVIEWS IN AQUACULTURE (2021)
Attention based convolutional recurrent neural network for environmental sound classification
Zhichao Zhang et al.
NEUROCOMPUTING (2021)
Spectral images based environmental sound classification using CNN with meaningful data augmentation
Zohaib Mushtaq et al.
APPLIED ACOUSTICS (2021)
Toward a better understanding of fish-based contribution to ocean carbon flux
Grace K. Saba et al.
LIMNOLOGY AND OCEANOGRAPHY (2021)
Automatic detection of seafloor marine litter using towed camera images and deep learning
Dimitris Politikos et al.
MARINE POLLUTION BULLETIN (2021)
Zebrafish tracking using YOLOv2 and Kalman filter
Marta de Oliveira Barreiros et al.
SCIENTIFIC REPORTS (2021)
Annotated Video Footage for Automated Identification and Counting of Fish in Unconstrained Seagrass Habitats
Ellen M. Ditria et al.
FRONTIERS IN MARINE SCIENCE (2021)
An Attentive Survey of Attention Models
Sneha Chaudhari et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2021)
Improved Accuracy for Automated Counting of a Fish in Baited Underwater Videos for Stock Assessment
Rod M. Connolly et al.
FRONTIERS IN MARINE SCIENCE (2021)
Applying Artificial Intelligence Methods to Detect and Classify Fish Calls from the Northern Gulf of Mexico
Emily E. Waddell et al.
JOURNAL OF MARINE SCIENCE AND ENGINEERING (2021)
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5
Yongcan Yu et al.
REMOTE SENSING (2021)
Automatic detection and classification of baleen whale social calls using convolutional neural networksa)
Jeppe Have Rasmussen et al.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2021)
Integral functions of marine vertebrates in the ocean carbon cycle and climate change mitigation
Angela Helen Martin et al.
ONE EARTH (2021)
Developing a microscopic image dataset in support of intelligent phytoplankton detection using deep learning
Qiong Li et al.
ICES JOURNAL OF MARINE SCIENCE (2020)
Deep learning in video multi-object tracking: A survey
Gioele Ciaparrone et al.
NEUROCOMPUTING (2020)
Review of fish trap fisheries from tropical and subtropical reefs: Main features, threats and management solutions
Maria Vadziutsina et al.
FISHERIES RESEARCH (2020)
Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories
Vanesa Lopez-Vazquez et al.
SENSORS (2020)
Fish detection and species classification in underwater environments using deep learning with temporal information
Ahsan Jalal et al.
ECOLOGICAL INFORMATICS (2020)
Vision-Based In Situ Monitoring of Plankton Size Spectra Via a Convolutional Neural Network
Nan Wang et al.
IEEE JOURNAL OF OCEANIC ENGINEERING (2020)
Method for Training Convolutional Neural Networks for In Situ Plankton Image Recognition and Classification Based on the Mechanisms of the Human Eye
Xuemin Cheng et al.
SENSORS (2020)
MorphoCluster: Efficient Annotation of Plankton Images by Clustering
Simon-Martin Schroeder et al.
SENSORS (2020)
Beluga whale acoustic signal classification using deep learning neural network models
Ming Zhong et al.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2020)
Timing is everything: Drivers of interannual variability in blue whale migration
Angela R. Szesciorka et al.
SCIENTIFIC REPORTS (2020)
Completely Automated CNN Architecture Design Based on Blocks
Yanan Sun et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)
Return of the age of dinoflagellates in Monterey Bay: Drivers of dinoflagellate dominance examined using automated imaging flow cytometry and long-term time series analysis
Alexis D. Fischer et al.
LIMNOLOGY AND OCEANOGRAPHY (2020)
Study the twilight zone before it is too late
Adrian Martin et al.
NATURE (2020)
Temperature-related biodiversity change across temperate marine and terrestrial systems
Laura H. Antao et al.
NATURE ECOLOGY & EVOLUTION (2020)
Nutrient limitation, bioenergetics and stoichiometry: A new model to predict elemental fluxes mediated by fishes
Nina M. D. Schiettekatte et al.
FUNCTIONAL ECOLOGY (2020)
Quantifying Marine Sedimentary Carbon: A New Spatial Analysis Approach Using Seafloor Acoustics, Imagery, and Ground-Truthing Data in Scotland
Corallie Hunt et al.
FRONTIERS IN MARINE SCIENCE (2020)
Deep convolutional neural networks to monitor coralligenous reefs: Operationalizing biodiversity and ecological assessment
Guilhem Marre et al.
ECOLOGICAL INFORMATICS (2020)
Deep learning-based methods for individual recognition in small birds
Andre C. Ferreira et al.
METHODS IN ECOLOGY AND EVOLUTION (2020)
Semi- and fully supervised quantification techniques to improve population estimates from machine classifiers
Eric C. Orenstein et al.
LIMNOLOGY AND OCEANOGRAPHY-METHODS (2020)
Three-dimensional cross-shelf zooplankton distributions off the Central Oregon Coast during anomalous oceanographic conditions
Christian Briseno-Avena et al.
PROGRESS IN OCEANOGRAPHY (2020)
Future Vision for Autonomous Ocean Observations
Christopher Whitt et al.
FRONTIERS IN MARINE SCIENCE (2020)
Setting the stage for the machine intelligence era in marine science
Cigdem Beyan et al.
ICES JOURNAL OF MARINE SCIENCE (2020)
Collaborative Deep Learning Models to Handle Class Imbalance in FlowCam Plankton Imagery
Thomas Kerr et al.
IEEE ACCESS (2020)
Machine intelligence and the data-driven future of marine science
Ketil Malde et al.
ICES JOURNAL OF MARINE SCIENCE (2020)
Using isotope composition and other node attributes to predict edges in fish trophic networks
Vyacheslav Lyubchich et al.
STATISTICS & PROBABILITY LETTERS (2019)
Applying deep learning to right whale photo identification
Robert Bogucki et al.
CONSERVATION BIOLOGY (2019)
The FAIR Guiding Principles for scientific data management and stewardship (vol 15, 160018, 2016)
Mark D. Wilkinson et al.
SCIENTIFIC DATA (2019)
Interannual fine-scale site fidelity of male ballan wrasse Labrus bergylta revealed by photo-identification and tagging
Gonzalo Mucientes et al.
JOURNAL OF FISH BIOLOGY (2019)
Applications for deep learning in ecology
Sylvain Christin et al.
METHODS IN ECOLOGY AND EVOLUTION (2019)
ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning
Christian Bergler et al.
SCIENTIFIC REPORTS (2019)
A facial recognition tool and legislative changes for improved enforcement of the CITES Appendix II listing of the humphead wrasse, Cheilinus undulatus
Cheuk Yu Hau et al.
AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS (2019)
Chimpanzee face recognition from videos in the wild using deep learning
Daniel Schofield et al.
SCIENCE ADVANCES (2019)
A guide to deep learning in healthcare
Andre Esteva et al.
NATURE MEDICINE (2019)
Past, present and future approaches using computer vision for animal re-identification from camera trap data
Stefan Schneider et al.
METHODS IN ECOLOGY AND EVOLUTION (2019)
The hunt for red tides: Deep learning algorithm forecasts shellfish toxicity at site scales in coastal Maine
Isabella Grasso et al.
ECOSPHERE (2019)
Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers
Mehdi Ben Lazreg et al.
2019 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2019) (2019)
Advancing Observation of Ocean Biogeochemistry, Biology, and Ecosystems With Cost-Effective in situ Sensing Technologies
Zhaohui Aleck Wang et al.
FRONTIERS IN MARINE SCIENCE (2019)
Globally Consistent Quantitative Observations of Planktonic Ecosystems
Fabien Lombard et al.
FRONTIERS IN MARINE SCIENCE (2019)
Expanding Tara Oceans Protocols for Underway, Ecosystemic Sampling of the Ocean-Atmosphere Interface During Tara Pacific Expedition (2016-2018)
Gabriel Gorsky et al.
FRONTIERS IN MARINE SCIENCE (2019)
A computer vision for animal ecology
Ben G. Weinstein
JOURNAL OF ANIMAL ECOLOGY (2018)
Interdisciplinary knowledge exchange across scales in a globally changing marine environment
Karlie S. McDonald et al.
GLOBAL CHANGE BIOLOGY (2018)
A camera-based method for estimating absolute density in animals displaying home range behaviour
Andrea Campos-Candela et al.
JOURNAL OF ANIMAL ECOLOGY (2018)
A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples
Zoltan Gorocs et al.
LIGHT-SCIENCE & APPLICATIONS (2018)
Automated plankton image analysis using convolutional neural networks
Jessica Y. Luo et al.
LIMNOLOGY AND OCEANOGRAPHY-METHODS (2018)
A synthetic map of the north-west European Shelf sedimentary environment for applications in marine science
Robert J. Wilson et al.
EARTH SYSTEM SCIENCE DATA (2018)
Habitat Connectivity of Fish in Temperate Shallow-Water Seascapes
Diana Perry et al.
FRONTIERS IN MARINE SCIENCE (2018)
Towards ecosystem-based management: identifying operational food-web indicators for marine ecosystems
Jamie C. Tam et al.
ICES JOURNAL OF MARINE SCIENCE (2017)
Comparing relative abundance, lengths, and habitat of temperate reef fishes using simultaneous underwater visual census, video, and trap sampling
Nathan M. Bacheler et al.
MARINE ECOLOGY PROGRESS SERIES (2017)
Comparing relative abundance, lengths, and habitat of temperate reef fishes using simultaneous underwater visual census, video, and trap sampling
Nathan M. Bacheler et al.
MARINE ECOLOGY PROGRESS SERIES (2017)
BUGLE 2.0-Browsing and Annotating Large Marine Image Collections
Daniel Langenkaemper et al.
FRONTIERS IN MARINE SCIENCE (2017)
Semi-automated classification method addressing marine strategy framework directive (MSFD) zooplankton indicators
Laura Uusitalo et al.
ECOLOGICAL INDICATORS (2016)
Automated Detection and Identification of Blue and Fin Whale Foraging Calls by Combining Pattern Recognition and Machine Learning Techniques
Ho Chun Huang et al.
OCEANS 2016 MTS/IEEE MONTEREY (2016)
Natural swimming speed of Dascyllus reticulatus increases with water temperature
Cigdem Beyan et al.
ICES JOURNAL OF MARINE SCIENCE (2015)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Coastal observatories for monitoring of fish behaviour and their responses to environmental changes
J. Aguzzi et al.
REVIEWS IN FISH BIOLOGY AND FISHERIES (2015)
Automated marine turtle photograph identification using artificial neural networks, with application to green turtles
Steven J. B. Carter et al.
JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY (2014)
Routine determination of plankton community composition and size structure: a comparison between FlowCAM and light microscopy
Eva Alvarez et al.
JOURNAL OF PLANKTON RESEARCH (2014)
Deep Learning: Methods and Applications
Li Deng et al.
FOUNDATIONS AND TRENDS IN SIGNAL PROCESSING (2013)
A generalized baleen whale call detection and classification system
Mark F. Baumgartner et al.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2011)
Automated Discovery of Food Webs from Ecological Data Using Logic-Based Machine Learning
David A. Bohan et al.
PLOS ONE (2011)
Individuals and populations: the role of long-term, individual-based studies of animals in ecology and evolutionary biology
Tim Clutton-Brock et al.
TRENDS IN ECOLOGY & EVOLUTION (2010)
Localization of individual mulloway (Argyrosomus japonicus) within a spawning aggregation and their behaviour throughout a diel spawning period
Miles J. Parsons et al.
ICES JOURNAL OF MARINE SCIENCE (2009)
Neural networks in fisheries research
Iragavarapu Suryanarayana et al.
FISHERIES RESEARCH (2008)
Ghost fishing in European waters: Impacts and management responses
James Brown et al.
MARINE POLICY (2007)
Do experts make mistakes? A comparison of human and machine identification of dinoflagellates
PF Culverhouse et al.
MARINE ECOLOGY PROGRESS SERIES (2003)